lixus7/Time-Series-Works-Conferences

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

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updated Sep 29, 2026

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README

Time-Series Works and Conferences

About Me (Du Yin)

I am a Ph.D. student in the School of Computer Science and Engineering (CSE) at UNSW Sydney, Australia, where I am fortunate to be co-supervised by Prof. Flora Salim and Dr. Hao Xue.

My research is driven by a strong passion for Time-Series Research and Deep Learning. Currently, my work focuses on developing next-generation Time-Series Foundation Models (TSFMs), generative modeling, and scalable frameworks for complex temporal and spatio-temporal data mining.

Prior to joining UNSW, I received my Master's degree, during which I had the privilege of being advised by Prof. Xuan Song, Dr. Quanjun Chen, and Prof. Renhe Jiang.

Backlog (To do):

Recent Time Series Works Grouped by Task

Multivariat Time Series Forecasting

TaskDataModelPaperCodePublication
Foundation
Multivariat
TimesNetOliviaOlivia: Harmonizing Time Series Foundation Models with Power Spectral DensityNoneICML
2026
Foundation
Multivariat
TimesNetTime-PEFTTime-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation ModelsNoneICML
2026
Foundation
Multivariat
TimesNetUniversal Redundancies in Time Series Foundation ModelsCode
Stars
Forks
ICML
2026
LLM
Reasoning
TimesNetVeriTimeTime Series Reasoning via Process-Verifiable Thinking Data Synthesis and Scheduling for Tailored LLM ReasoningNoneICML
2026
LLM
Medical
HAR-CoT
Sleep-CoT
ECG-QA
MIMIC
OpenTSLMOpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series DataCode
Stars
Forks
ICML
2026
LLM
Benchmark
Health TSHEARTSHEARTS: Benchmarking LLM Reasoning on Health Time SeriesCode
Stars
Forks
ICML
2026
PositionTimesNetPosition: Time-Series Foundation Models Require Explicit Domain-Level BenchmarksNoneICML
2026
Foundation
Benchmark
ZTFStarEmbedStarEmbed: Benchmarking Time Series Foundation Models on Astronomical Observations of Variable StarsCode
Stars
Forks
ICML
2026
PhysiologicalMIMIC
PhysioNet
Self-Supervised Dynamical System Representations for Physiological Time-SeriesCode
Stars
Forks
ICML
2026
Dataset
Condensat
TimesNetOne Batch Is Enough: A Unified Dataset Condensation Framework for General Time Series AnalysisNoneICML
2026
Foundation
Multivariat
TimesNetZeusZeus: Towards Tuning-Free Foundation Model for Time Series AnalysisNoneICML
2026
Dataset
Multimodal
TelecomTSTelecomTS: A Multi-Modal Observability Dataset for Time Series and Language AnalysisCode
Stars
Forks
ICML
2026
Multimodal
Alignment
TimesNetTime Series, Vision, and Language: Exploring the Limits of Alignment in Contrastive Representation SpacesNoneICML
2026
MultivariatTimesNetL-DriveL-Drive: Beyond a Single Mapping—Latent Context Drives Time Series ForecastingCode
Stars
Forks
ICML
2026
MultivariatTimesNetConFluxConFlux: Multivariate Time Series in Flux, One Unified Forecast in ConfluenceNoneICML
2026
MultivariatTimesNetPESD-TSFPESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series ForecastingNoneICML
2026
MultivariatTimesNetParameter Decorrelation via Transition-Variance Alignment for Multivariate Time-series ForecastingNoneICML
2026
BenchmarkTimesNetTIMEIt's TIME: Towards the Next Generation of Time Series Forecasting BenchmarksCode
Stars
Forks
ICML
2026
Robust
Multivariat
TimesNetDropoutTSDropoutTS: Sample-Adaptive Dropout for Robust Time Series ForecastingCode
Stars
Forks
ICML
2026
MultivariatTimesNetTime-series forecasting through the lens of dynamicsCode
Stars
Forks
ICML
2026
Weather
Benchmark
WEATHER-5KBenchmarking Physics-Informed Time-Series Models for Operational Global Station Weather ForecastingCode
Stars
Forks
ICML
2026
Efficient
Multivariat
TimesNetBPEByte Pair Encoding for Efficient Time Series ForecastingNoneICML
2026
Backdoor
Defense
TimesNetTimeGuardTimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series ForecastingCode
Stars
Forks
ICML
2026
CounterfacTimesNetWhat if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual ConditionsNoneICML
2026
DistillationTimesNetBeyond Point Predictions: Manifold Expansion and Dual Alignment for Robust Time Series DistillationNoneICML
2026
Foundation
Multivariat
TimesNetChannel Adapter for Time Series Foundation Models in Zero-Shot Multivariate ForecastingNoneICML
2026
MultivariatTimesNetBeyond Extrapolation: Knowledge Utilization Paradigm with Bidirectional Inspiration for Time Series ForecastingNoneICML
2026
Source-Free
Multivariat
TimesNetTimePDInvariant Representation Learning for Source-Free Time Series Forecasting with LLM-Centric Proxy DenoisingCode
Stars
Forks
ICML
2026
MultivariatTimesNetFIPNFIPN: Forward Self-Organizing Interpretable Polynomial Networks for Time Series ForecastingNoneICML
2026
MultivariatTimesNetDMANetAnti-Aliasing Matters: A Dynamic Network for Time Series ForecastingCode
Stars
Forks
ICML
2026
Non-stationary
Multivariat
TimesNetDSENetDSENet: A Novel Dual-Stream Enhancement Network for Multi-Scale Non-Stationary Time Series ForecastingNoneICML
2026
MultivariatTimesNetCrispCrisp: A Spectral-Based Interaction Strategy for Multivariate Time Series ForecastingNoneICML
2026
AnalysisTimesNetBeyond Model Ranking: Predictability-Aligned Evaluation for Time Series ForecastingCode
Stars
Forks
ICML
2026
MultivariatTimesNetKITEKITE: Knowledge-Guided Probabilistic Modeling for Time Series Forecasting with Exogenous VariablesNoneICML
2026
LLM
Multivariat
TimesNetTsLLMTsLLM: Augmenting LLMs for General Time Series Understanding and PredictionNoneICML
2026
MultivariatTimesNetReNFReNF: Rethinking the Principles of Neural Long-Term Time Series ForecastersCode
Stars
Forks
ICML
2026
MultivariatTimesNetReviving Error Correction in Modern Deep Time-Series ForecastingCode
Stars
Forks
ICML
2026
MultivariatTimesNetMemCastMemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned ReasoningCode
Stars
Forks
ICML
2026
Adversarial
Multivariat
TimesNetTSFAdvTSFAdv: Frequency-Guided Black-Box Adversarial Attacks on Time Series ForecastingNoneICML
2026
Non-stationary
Multivariat
TimesNetDynamic
TMoE
Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series ForecastingCode
Stars
Forks
ICML
2026
MultivariatTimesNetFernEllipsoidal Time Series ForecastingNoneICML
2026
Generative
Multivariat
TimesNetCoGenCastCoGenCast: A Coupled Autoregressive–Flow Generative Framework for Time Series ForecastingCode
Stars
Forks
ICML
2026
MultivariatTimesNetStretchTimeStretchTime: Adaptive Time Series Forecasting via Symplectic AttentionNoneICML
2026
Robust
Multivariat
TimesNetRobust Inter-Series Dependency Modeling for Time Series Forecasting via Information-Theoretic AlignmentNoneICML
2026
AnalysisTimesNetCombiTSCombinationTS: A Modular Framework for Understanding Time-Series Forecasting ModelsCode
Stars
Forks
ICML
2026
Foundation
Multivariat
TimesNetSee More, Forecast Better and Faster: Enhancing Time Series Foundation Models via Inference-Time Plug-and-Play DownsamplingCode
Stars
Forks
ICML
2026
Robust
Multivariat
TimesNetTameRTaming the Recent-Data Bias: Towards Robust Time Series Forecasting with Global ContextCode
Stars
Forks
ICML
2026
MultivariatTimesNetKineFlowKineFlow: Kinematic Second-Order Flow Matching for Time-Series ForecastingNoneICML
2026
MultivariatTimesNetLatentTSFFrom Observations to States: Latent Time Series ForecastingCode
Stars
Forks
ICML
2026
Foundation
Multivariat
TimesNetBaguan-TSBaguan-TS: dual in-context learning model for time series forecasting with covariatesNoneICML
2026
PositionTimesNetPosition: Current Benchmarking Hinders Real Progress in Deep Learning for Time Series ForecastingCode
Stars
Forks
ICML
2026
LLM
Multivariat
TimesNetTimeMRATimeMRA: LLM-Empowered Time Series Forecasting via Multi-Scale Retrieval-Augmented RepresentationsNoneICML
2026
Multimodal
Evaluation
TimesNetRethinking Multimodal Time-Series Forecasting EvaluationNoneICML
2026
Irregular
Multivariat
TimesNetTFMixerBridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series ForecastingNoneICML
2026
MultivariatTimesNetDAGDAG: A Dual Correlation Network for Time Series Forecasting with Exogenous VariablesCode
Stars
Forks
ICML
2026
Robust
Multivariat
TimesNetSEERSEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and ReplacementNoneICML
2026
MultivariatTimesNetTimeSeedTimeSeed: Effective Time Series Forecasting with Sparse Endogenous VariablesNoneICML
2026
MultivariatTimesNetInformation Geometry Loss for Time Series ForecastingNoneICML
2026
MultivariatTimesNetKUMAKUMA: A Novel Framework with Koopman Separation and Efficient Multilevel Extraction in Time Series ForecastingNoneICML
2026
Scaling
Multivariat
TimesNetRevealing Scaling Behavior in Large-scale Time Series Models: Implications for More Efficient and Accurate ForecastingNoneICML
2026
Non-stationary
Multivariat
TimesNetPULSEPULSE: Generative Phase Evolution for Non-Stationary Time Series ForecastingCode
Stars
Forks
ICML
2026
Diffusion
Multivariat
TimesNetNot All Frequencies Are Equal: Energy-Adaptive Diffusion for Time Series ForecastingNoneICML
2026
Irregular
Medical
MIMICMoRGENMoRGEN: Mixture-of-Resolutions Generative Forecasting for Irregularly Sampled Medical Time-Series DataNoneICML
2026
MultivariatTimesNetMixLinearMixLinear: Extreme Low Resource Multivariate Time Series Forecasting with ParametersCode
Stars
Forks
ICLR
2026
MultivariatTimesNetCoRACoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware AdapterCode
Stars
Forks
ICLR
2026
MultivariatTimesNetPHATPHAT: Modeling Period Heterogeneity for Multivariate Time Series ForecastingCode
Stars
Forks
ICLR
2026
MultivariatTimesNetNumerionNumerion: A Multi-Hypercomplex Model for Time Series ForecastingNoneICLR
2026
MultivariatTimesNetCOSACOSA: Context-aware Output-Space Adapter for Test-Time Adaptation in Time Series ForecastingCode
Stars
Forks
ICLR
2026
MultivariatTimesNetCPiRiCPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series ForecastingCode
Stars
Forks
ICLR
2026
MultivariatTimesNetGTREnhancing Multivariate Time Series Forecasting with Global Temporal RetrievalCode
Stars
Forks
ICLR
2026
MultivariatTimesNetTimeAliBridging Past and Future: Distribution-Aware Alignment for Time Series ForecastingCode
Stars
Forks
ICLR
2026
MultivariatTimesNetAre Global Dependencies Necessary? Scalable Time Series Forecasting via Local Cross-Variate ModelingCode
Stars
Forks
ICLR
2026
MultivariatTimesNetGCGNetGCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous VariablesCode
Stars
Forks
ICLR
2026
MultivariatTimesNetTest-Time Efficient Pretrained Model Portfolios for Time Series ForecastingNoneICLR
2026
MultivariatTimesNetMMPDMMPD: Diverse Time Series Forecasting via Multi-Mode Patch Diffusion LossCode
Stars
Forks
ICLR
2026
Robust
Multivariat
TimesNetLocal Geometry Attention for Time Series Forecasting under Realistic CorruptionsCode
Stars
Forks
ICLR
2026
MultivariatTimesNetFACTFACT: Fine-grained Across-variable Convolution for Multivariate Time Series ForecastingCode
Stars
Forks
ICLR
2026
MultivariatTimesNetUnlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series ForecastingCode
Stars
Forks
ICLR
2026
Foundation
Multivariat
AuroraAurora: Towards Universal Generative Multimodal Time Series ForecastingCode
Stars
Forks
ICLR
2026
MultivariatTimesNetThe Forecast After the Forecast: A Post-Processing Shift in Time SeriesCode
Stars
Forks
ICLR
2026
MultivariatTimesNetADAPT-ZOnline time series prediction using feature adjustmentCode
Stars
Forks
ICLR
2026
Robust
Multivariat
ETT
Weather
EPA-Air
CTFTowards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and MissingnessCode
Stars
Forks
ICLR
2026
MultivariatTimesNetxCPDRouting Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral DecompositionCode
Stars
Forks
ICLR
2026
Irregular
Multivariat
ASTGIASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series ForecastingCode
Stars
Forks
ICLR
2026
MultivariatTimesNetProtoTSProtoTS: Learning Hierarchical Prototypes for Explainable Time Series ForecastingCode
Stars
Forks
ICLR
2026
MultivariatTimesNetPhaseFormerPhaseFormer: From Patches to Phases for Efficient and Effective Time Series ForecastingCode
Stars
Forks
ICLR
2026
Irregular
Multivariat
ReIMTSLearning Recursive Multi-Scale Representations for Irregular Multivariate Time Series ForecastingCode
Stars
Forks
ICLR
2026
MultivariatTimesNetCharacteristic Root Analysis and Regularization for Linear Time Series ForecastingCode
Stars
Forks
ICLR
2026
MultivariatTimesNetSE-LLMSemantic-Enhanced Time-Series Forecasting via Large Language ModelsCode
Stars
Forks
ICLR
2026
AnalysisTimesNetTimeRecipeTimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level EffectivenessCode
Stars
Forks
ICLR
2026
MultivariatTimesNetShifTSTackling Time-Series Forecasting Generalization via Mitigating Concept DriftCode
Stars
Forks
ICLR
2026
MultivariatTimesNetQDFQuadratic Direct Forecast for Training Multi-Step Time-Series Forecast ModelsCode
Stars
Forks
ICLR
2026
MultivariatTimesNetDistDFDistDF: Time-series Forecasting Needs Joint-distribution Wasserstein AlignmentCode
Stars
Forks
ICLR
2026
TrafficNGSIM
HighD
Micro-Macro Coupled Koopman Modeling on Graph for Traffic Flow PredictionNoneICLR
2026
Evolve
Traffic
METR-LA
PEMS
STBPA General Spatio-Temporal Backbone with Scalable Contextual Pattern Bank for Urban Continual ForecastingCode
Stars
Forks
ICLR
2026
AnalysisTimesNetBeyond Accuracy: Are Time Series Foundation Models Well-Calibrated?Code
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNetUniCAUniCA: Unified Covariate Adaptation for Time Series Foundation ModelCode
Stars
Forks
ICLR
2026
MultivariatTimesNetTimeOmni-1TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language ModelsCode
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNetRating Quality of Diverse Time Series Data by Meta-learning from LLM JudgmentCode
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNetAdapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation ModelsCode
Stars
Forks
ICLR
2026
FL
Foundation
TimesNetFeDaLFeDaL: Federated Dataset Learning for General Time Series Foundation ModelsCode
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNetSwiftTSSwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-LearningCode
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNetSFFLost in the Non-convex Loss Landscape: How to Fine-tune the Large Time Series Model?Code
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNetGTMGTM: A General Time-series Model for Enhanced Representation Learning of Time-Series dataCode
Stars
Forks
ICLR
2026
MultivariatTimesNetMulti-Scale Hypergraph Meets LLMs: Aligning Large Language Models for Time Series AnalysisCode
Stars
Forks
ICLR
2026
MultivariatTimesNetAutoDAAutoDA-Timeseries: Automated Data Augmentation for Time SeriesCode
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNetTS-MemoryTS-Memory: Plug-and-Play Memory for Time Series Foundation ModelsCode
Stars
Forks
KDD
2026
MultivariatEliciting Frequency-Conditioned Spatial Dynamics for Long-Term Spatio-Temporal ForecastingCode
Stars
Forks
KDD
2026
MultivariatTimesNetCCDCCD: Capturing Cross-Correlations with Deformable Convolutional Networks for Multivariate Time Series ForecastingCode
Stars
Forks
KDD
2026
MultivariatTimesNetSTM3STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series PredictionCode
Stars
Forks
KDD
2026
MultivariatTimesNetCAST-NormCAST-Norm: Coupled Adaptive Spatio-Temporal Normalization for Multivariate Time Series ForecastingCode
Stars
Forks
KDD
2026
MultivariatTimesNetRePatchRePatch: Learning Entropy-Guided Patch Structures with Quantized Representations for Time Series ForecastingCode
Stars
Forks
KDD
2026
TrafficLargeSTSTUNetUnified Spatio-Temporal Tokens are Bases for Generalizable Traffic ForecastingCode
Stars
Forks
KDD
2026
TrafficPEMSHURSTHURST: Heterogeneity-Adaptive Urban Foundation Models for Spatiotemporal Prediction via Self-Partitional Mixture-of-Spatial-ExpertsNoneKDD
2026
MultivariatTimesNetSARAFStationarity-Aware Retrieval-Augmented Time Series ForecastingCode
Stars
Forks
KDD
2026
MultivariatTimesNetTS-MTMTS-MTM: Temporal-Spectral Masked Time-Series Modeling for ForecastingCode
Stars
Forks
KDD
2026
TrafficPEMSBeyond Language Processing: LLMs Rules-Injected Instruction Tuning for Traffic PredictionCode
Stars
Forks
KDD
2026
MultivariatOrbit-Adaptive Zero-Shot Forecasting on Spatio-Temporal GraphCode
Stars
Forks
KDD
2026
MultivariatTimesNetOne Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series DataNoneKDD
2026
MultivariatGODMGODM: Graph Orthogonal Diffusion Models for Spatio-Temporal ForecastingCodeKDD
2026
MultivariatTimesNetFAiTFAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series ForecastingCodeKDD
2026
MultivariatInvariant Structure Learning with Pre-trained Language Models for Spatio-temporal GraphCode
Stars
Forks
KDD
2026
TrafficNYC
Washington DC
Chicago
FreMoFrequency-Domain Multi-Modality Transportation ModelingCode
Stars
Forks
KDD
2026
MultivariatTimesNetPatchCLEPatchCLE: Breaking the Linear Representation Bottleneck in Time Series Forecasting via Soft Contrastive LearningCode
Stars
Forks
KDD
2026
Foundation
Multivariat
TimesNetMEMTSMEMTS: Internalizing Domain Knowledge via Parameterized Memory for Retrieval-Free Domain Adaptation of Time Series Foundation ModelsNoneKDD
2026
MultivariatTimesNetBeyond Linear Dynamics: Neural Bilinear Dynamical Models for Time Series ForecastingCode
Stars
Forks
KDD
2026
TrafficPeMSD4
PeMSD8
FT-AED
HK-Traffic
FedTTFedTT: A Federated Spatio-Temporal Learning Framework for Cross-City Traffic Knowledge TransferCodeKDD
2026
MultivariatTimesNetForecasting as Rendering: A 2D Gaussian Splatting Framework for Time Series ForecastingCode
Stars
Forks
KDD
2026
MultivariatTimesNetEfficient Test-Time Scaling for LLM-based Time Series ForecastingCode
Stars
Forks
KDD
2026
Domain
Forecasting
TimesNetAuraAura: Universal Multi-dimensional Exogenous Integration for Aviation Time SeriesNoneKDD
2026
Foundation
Multivariat
EpiRecipe
US disease surveillance
CAPELightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought ForecastingCode
Stars
Forks
KDD
2026
MultivariatTimesNetDSPRDSPR: Dual-Stream Physics-Residual Networks for Trustworthy Industrial Time Series ForecastingNoneKDD
2026
Domain
Forecasting
Fourier Geometric Wind Power Forecasting with Numerical Weather PredictionCode
Stars
Forks
KDD
2026
Foundation
Multivariat
Meteorology
Carbon flux
Soil moisture
Energy grid
GuardWhen to Trust, How to Distill: Multi-Foundation Model Guidance for Lightweight, Robust Scientific Time Series ForecastingCode
Stars
Forks
KDD
2026
Foundation
Multivariat
UrbanFMUrbanFM: Scaling Urban Spatio-Temporal Foundation ModelsNoneKDD
2026
TrafficCHITaxi
WSHTaxi
CHIBike
PeMS
CSSGCSSG: A Continuous Spatio-temporal Graph Learning Framework with Scalable Spatial GranularityCode
Stars
Forks
KDD
2026
TrafficPEMSMoSTMoST: A Foundation Model for Multi-modality Spatio-temporal Traffic PredictionCodeKDD
2026
MultivariatFaSTFaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-ExpertsCode
Stars
Forks
KDD
2026
TrafficPEMSIncident-Guided Spatiotemporal Traffic ForecastingCode
Stars
Forks
KDD
2026
MultivariatTimesNetTimeDistillTimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture DistillationCode
Stars
Forks
KDD
2026
MultivariatTimesNetLoFT-LLMLoFT-LLM: Low-Frequency Time-series Forecasting with Large Language ModelsCode
Stars
Forks
KDD
2026
MultivariatTimesNetNeural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical ImprovementsNoneKDD
2026
MultivariatTimesNetHow to Train Your Mamba for Time Series ForecastingNoneKDD
2026
TrafficPEMSTowards Resilient Transportation: A Conditional Transformer for Accident-Informed Traffic ForecastingCode
Stars
Forks
KDD
2026
MultivariatTimesNetFrom Tokenizer Bias to Backbone Capability: A Controlled Study of LLMs for Time Series ForecastingCode
Stars
Forks
KDD
2026
TrafficPEMSChannelMTSChannelMTS: A Multi-modal Time-Series Framework for High-Speed Railway Channel PredictionNoneKDD
2026
Foundation
Multivariat
Toward Green Computing: General Carbon Intensity Forecasting via Dual Graph Empowered Time Series Foundation ModelNoneWWW
2026
MultivariatTimesNetCross-city Time Series Forecasting with Retrieval-Augmented Large Language ModelsNoneWWW
2026
MultivariatTimesNetAutomated Model Selection for Multivariate Time Series ForecastingNoneWWW
2026
MultivariatTimesNetGFMixerGFMixer: Decoupled Temporal Gradient and Fourier-Aware Attention for Time Series ForecastingCode
Stars
Forks
WWW
2026
MultivariatTimesNetCRAFTEfficient High-Dimensional Time Series Forecasting with Transformers: A Channel Reordering PerspectiveNoneWWW
2026
MultivariatTimesNetDynaMEDynamic Multi-period Experts for Online Time Series ForecastingCode
Stars
Forks
WWW
2026
MultivariatTimesNetRe-DiffusionRe-Diffusion: Modeling Latent Residuals with Diffusion for Time-Series ForecastingNoneWWW
2026
FL
Multivariat
TimesNetFedRMambaFedRMamba: Federated Residual Mamba for Multivariate Time-Series ForecastingNoneWWW
2026
MultivariatDelay-Aware Graph Neural Stochastic Differential Equations for Financial Time Series Modeling and ForecastingNoneWWW
2026
MultivariatEnergy-Efficient Training-Free Zero-Inflation Correction for Rainfall Forecasting with Time-Series Foundation ModelsCode
Stars
Forks
WWW
2026
MultivariatTimesNetModeling Point-to-Point Dependency for High-Dimensional Long-Term Series ForecastingCode
Stars
Forks
WWW
2026
MultivariatTimesNetLifting Manifolds to Mitigate Pseudo-Alignment in LLM4TSCode
Stars
Forks
WWW
2026
Foundation
Multivariat
TimesNetQuiZSFQuiZSF: A Retrieval-Augmented Framework for Zero-Shot Time Series ForecastingNoneWWW
2026
MultivariatTimesNetSEMixerSEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series ForecastingCode
Stars
Forks
WWW
2026
MultivariatTime-TKTime-TK: A Multi-Offset Temporal Interaction Framework Combining Transformer and Kolmogorov-Arnold Networks for Time Series ForecastingCode
Stars
Forks
WWW
2026
MultivariatTimesNetEnhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context LearningNoneWWW
2026
MultivariatTimesNetEEO-TFVEEO-TFV: Escape-Explore Optimizer for Web-Scale Time-Series Forecasting and Vision AnalysisNoneWWW
2026
MultivariatTimesNetBack to the Future: Look-ahead Augmentation and Parallel Self-Refinement for Time Series ForecastingCode
Stars
Forks
WWW
2026
TrafficNYC
PeMS
PLM-CUPExploiting Pre-trained Language Model for Cross-city Urban Flow Prediction Guided by Information-theoretic AnalysisCode
Stars
Forks
AAAI
2026
TrafficPEMS03
PEMS04
PEMS07
PEMS08
MetaDGMeta Dynamic Graph for Traffic Flow PredictionCode
Stars
Forks
AAAI
2026
FL
Traffic
HZMetro
SHMetro
NYC-Bike
NYC-Taxi
FedSTGDUnlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-temporal Graph Learning Method for Traffic Flow ForecastingNoneAAAI
2026
FL
Traffic
PEMS03
PEMS04
PEMS07
PEMS08
FedHINTInter-Client Dependency Recovery with Hidden Global Components for Federated Traffic PredictionCode
Stars
Forks
AAAI
2026
TrafficPEMS03
PEMS04
PEMS07
PEMS08
HyperDHyperD: Hybrid Periodicity Decoupling Framework for Traffic ForecastingCode
Stars
Forks
AAAI
2026
TrafficPEMS07
PEMS08
PEMS-BAY
METR-LA
Melbourne
GenCastGeneralising Traffic Forecasting to Regions Without Traffic ObservationsCode
Stars
Forks
AAAI
2026
Traffic
Kriging
PEMS03
PEMS04
PEMS-BAY
AIR36
USHCN
DarkFarseerDarkFarseer: Robust Spatio-Temporal Kriging Under Graph Sparsity and NoiseCode
Stars
Forks
AAAI
2026
ST
Estimation
JNTaxi
JHSales
BJAir
METR-LA
PEMS08
WaveDiSTWaveDiST: A Wavelet Diffusion Transformer for Spatio-Temporal Estimation on Unobserved LocationsCode
Stars
Forks
AAAI
2026
FL
Traffic
METR-LA
PEMS04
PEMS07
PEMS08
PEMS-BAY
SC-FSGLCausality-inspired Federated Learning for Dynamic Spatio-Temporal GraphsNoneAAAI
2026
MultivariatTimesNetReCastReCast: Reliability-aware Codebook-assisted Lightweight Time Series ForecastingNoneAAAI
2026
MultivariatTimesNetTimeCAPTimeCAP: A Channel-Aware Pre-Training Framework for Multivariate Time Series ForecastingCode
Stars
Forks
AAAI
2026
MultivariatTimesNetCometNetCometNet: Contextual Motif-guided Long-term Time Series ForecastingNoneAAAI
2026
MultivariatETT
Weather
ECL
Traffic
PEMS
IdealTSFIdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models?Code
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APNRevitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series ForecastingCode
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MultivariatTimesNetGoal-Oriented Time-Series Forecasting: Foundation Framework DesignCode
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MultivariatTimesNetMDMLP-EIAMDMLP-EIA: Multi-domain Dynamic MLPs with Energy Invariant Attention for Time Series ForecastingCode
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MultivariatTimesNetSonnetSonnet: Spectral Operator Neural Network for Multivariable Time Series ForecastingCode
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FL
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FedSkeletonFedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series ForecastingCode
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MultivariatTimesNetT3TimeT3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual FusionCode
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MultivariatTimesNetFreDNFreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency DecompositionCode
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MultivariatTimesNetOccamVTSOccamVTS: Distilling Vision Models to 1% Parameters for Time Series ForecastingCode
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MultivariatETT
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DTAFTowards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency DifferencingCode
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MultivariatTimesNetTimeMosaicTimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise DecodingCode
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MultivariatTimesNetXLinearXLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous InputsCode
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TimesNetTDBABeyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series ForecastingCode
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MultivariatTimesNetDeepBooTSDeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series ForecastingCode
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MultivariatTimesNetEMAformerEMAformer: Enhancing Transformer Through Embedding Armor for Time Series ForecastingCode
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FL
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MultivariatTimesNetM2FMoEM2FMoE: Multi-Resolution Multi-View Frequency Mixture-of-Experts for Extreme-Adaptive Time Series ForecastingCode
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MultivariatTimesNetHN-MVTSHN-MVTS: HyperNetwork-based Multivariate Time Series ForecastingCode
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MultivariatTimesNetAPTAPT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution ShiftCode
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MultivariatTimesNetFreqCycleFreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series ForecastingCode
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Foundation
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TimesNetORTCLORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal RotationNoneAAAI
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MultivariatTimesNetGraFTGraFT: Infusing Pre-trained Transformers with Relational Structure for Time Series ForecastingNoneAAAI
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MultivariatTimesNetSTransSTrans: Spontaneous Architecture Evolution for Adaptive Time Series ForecastingNoneAAAI
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MultivariatTimesNetFeTSFeTS: A Feature-Aware Framework for Time Series ForecastingCode
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MultivariatTimesNetSparse-Scale Transformer with Bidirectional Awareness for Time Series ForecastingCode
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MultivariatTimesNetM3TimeM3Time: LLM-Enhanced Multi-Modal, Multi-Scale, and Multi-Frequency Multivariate Time Series ForecastingNoneAAAI
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MultivariatTimesNetTimePMGTimePMG: LLM-Based Time Series Forecasting with Period-Aware Multi-Scale Decomposition and Group-Wise AlignmentNoneAAAI
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MultivariatTimesNetProCASTProCAST: A Projection Framework for Coupled Aggregation Constrained Multivariate Time Series ForecastingCode
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MultivariatTimesNetUnifying Channel Independence and Mixing: Multi-Scale Patch Recursion for Global-local Representation Synergy in Multivariate Time Series ForecastingCode
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MultivariatETT
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CA
Harmonic Dataset Distillation for Time Series ForecastingNoneAAAI
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MultivariatTimesNetSEMPOSEMPO: Lightweight Foundation Models for Time Series ForecastingCode
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MultivariatTimesNetTARFVAETARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAECode
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MultivariatTimesNetMAFSMany Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent CooperationCode
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MultivariatTimesNetTimeXLTimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-LoopNoneNIPS
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MultivariatTimesNetDMMVMulti-Modal View Enhanced Large Vision Models for Long-Term Time Series ForecastingCode
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2025
MultivariatTimesNetxLSTM-MixerxLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar MemoriesCode
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MultivariatTimesNetTFPSLearning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution ShiftCode
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MultivariatTimesNetSymTimeSynthetic Series-Symbol Data Generation for Time Series Foundation ModelsCode
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MultivariatTimesNetOLinearOLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed DomainCode
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MultivariatTimesNetTimeEmbTimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series ForecastingCode
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MultivariatTimesNetTime-o1Time-o1: Time-Series Forecasting Needs Transformed Label AlignmentCode
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MultivariatTimesNetTimePerceiverTimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series ForecastingCode
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MultivariatTimesNetMSFTMulti-Scale Finetuning for Encoder-based Time Series Foundation ModelsCode
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MultivariatTimesNetDBLossDBLoss: Decomposition-based Loss Function for Time Series ForecastingCode
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MultivariatTimesNetSRSNetEnhancing Time Series Forecasting through Selective Representation Spaces: A Patch PerspectiveCode
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MultivariatTimesNetIFTowards Accurate Time Series Forecasting via Implicit DecodingCode
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Multivariat Zero ShotTimesNetTS-RAGTS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot ForecasterCode
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Multivariat TrafficTimesNet PEMS03
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PEMS07
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PIRImproving Time Series Forecasting via Instance-aware Post-hoc RevisionCode
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Multivariat TrafficWind
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STELLAOn the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series ForecastingCode
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MultivariatTimesNetAliOAliO: Output Alignment Matters in Long-Term Time Series ForecastingCode
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MultivariatTimesNetTOTOThis Time is Different: An Observability Perspective on Time Series Foundation ModelsCodeNIPS
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MultivariatTimesNetMoFoMoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern ModelingCode
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MultivariatTimesNetLess is More: Unlocking Specialization of Time Series Foundation Models via Structured PruningCode
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MultivariatTimesNetPIHEnhancing the Maximum Effective Window for Long-Term Time Series ForecastingCode
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MultivariatTimesNetSCAMNot All Data are Good Labels: On the Self-supervised Labeling for Time Series ForecastingCode
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ST SSLPEMS03
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ST-SSDLHow Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation LearningCode
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MultivariatTimesNetDecompNetDecompNet: Enhancing Time Series Forecasting Models with Implicit DecompositionCode
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MultivariatTimesNet
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S2TS-LLMBridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and SegmentationCode
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MultivariatTimesNetMSFTMulti-Scale Finetuning for Encoder-based Time Series Foundation ModelsCode
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MultivariatTimesNetAMRCAbstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation ConsistencyCode
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MultivariatTimesNetSLSelective Learning for Deep Time Series ForecastingCode
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MultivariatTimesNetLightGTSLightGTS: A Lightweight General Time Series Forecasting ModelCode
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MultivariatTimesNetLETSLETS Forecast: Learning Embedology for Time Series ForecastingCode
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MultivariatTimesNetTimeBaseTimeBase: The Power of Minimalism in Efficient Long-term Time Series ForecastingCode
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MultivariatTimesNetRAFTRetrieval Augmented Time Series ForecastingCode
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MultivariatTimesNetCNChannel Normalization for Time Series Channel IdentificationCode
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MultivariatTimesNetTimeBridgeTimeBridge: Non-Stationarity Matters for Long-term Time Series ForecastingCode
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MultivariatTimesNetTimeStackerTimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series ForecastingNoneICML
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MultivariatTimesNetWaveTokenEnhancing Foundation Models for Time Series Forecasting via Wavelet-based TokenizationCodeICML
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MultivariatTimesNetMoirai-MoEMoirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of ExpertsCode
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MultivariatTimesNetIn-Context Fine-Tuning for Time-Series Foundation ModelsNoneICML
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MultivariatTimesNetSKOLRSKOLR: Structured Koopman Operator Linear RNN for Time-Series ForecastingCode
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MultivariatECL
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TrafficNYC
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SynEVOSynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptationCode
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Traffic
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RSTIBInformation Bottleneck-guided MLPs for Robust Spatial-temporal ForecastingCode
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MultivariatETT
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PatchLossPatch-wise Structural Loss for Time Series ForecastingCode
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Foundation
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Monash
UEA
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ROSETowards a General Time Series Forecasting Model with Unified Representation and Adaptive TransferNoneICML
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MoFSlimming the Fat-Tail: MoF for Adaptive Time Series ModelingNoneICML
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MultivariatTimesNetCMoSCMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial CorrelationsCode
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AnalysisSynthetic
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MultivariatTimesNetCFPTCFPT: Empowering Time Series Forecasting through Cross-Frequency Interaction and Periodic-Aware Timestamp ModelingCode
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MultivariatTimesNetTimeProTimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-stateCode
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TrafficETT
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TimeFilterTimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series ForecastingCode
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MultivariatTimesNetTime-VLMTime-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series ForecastingCode
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MultivariatTimesNetLangTimeLangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy OptimizationCode
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Irregular
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MuJoCo
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ShiftingTimeShifting time: Time-series forecasting with Khatri-Rao neural operatorsCode
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Foundation
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TimesNetLightweight Online Adaption for Time Series Foundation Model ForecastsNoneICML
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MultivariatTimesNetCNDiffConditional Diffusion Model with Nonlinear Data Transformation for Time Series ForecastingCode
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AnalysisECL
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MultivariatTimesNetTQNetTemporal Query Network for Efficient Multivariate Time Series ForecastingCode
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MultivariatTimesNetWAVEWAVE: Weighted Autoregressive Varing Gate for Time Series ForecastingCode
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Foundation
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SundialSundial: A Family of Highly Capable Time Series Foundation ModelsCode
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Foundation
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GIFT-EVALVisionTSVisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series ForecastersCode
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MultivariatTimesNetTimeFuseBreaking Silos: Adaptive Model Fusion Unlocks Better Time Series ForecastingCode
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Irregular
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PhysioNet
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Irregular
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HyperIMTSHyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series ForecastingCode
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Irregular
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VIMTSIMTS is Worth Time × Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series PredictionCode
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Evolve TrafficAir-Str
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Energy-Str
EACExpand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph ForecastingCode
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MultivariatTimesNetTimeMixer++TimeMixer++: A General Time Series Pattern Machine for Universal Predictive AnalysisCode
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MultivariatTimesNetTime-MoETime-MoE: Billion-Scale Time Series Foundation Models with Mixture of ExpertsCode
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MultivariatTimesNetTVNetTVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-VariationCode
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MultivariatTimesNetTimeKANTimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series ForecastingCode
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MultivariatTimesNetICTSPIn-context Time Series PredictorCode
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MultivariatTimesNetFSCAContext-Alignment: Activating and Enhancing LLMs Capabilities in Time Series](https://openreview.net/forum?id=syC2764fPc)Code
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MultivariatTimesNetSimpleTMSimpleTM: A Simple Baseline for Multivariate Time Series Forecasting](https://openreview.net/forum?id=oANkBaVci5)Code
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MultivariatTimesNetTowards Neural Scaling Laws for Time Series Foundation Models](https://openreview.net/forum?id=uCqxDfLYrB)Code
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MultivariatTimesNetTimer-XLTimer-XL: Long-Context Transformers for Unified Time Series ForecastingCode
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MultivariatTimesNetLCESNLocally Connected Echo State Networks for Time Series ForecastingCode
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TrafficPEMS03
PEMS04
PEMS07
PEMS08
METR-LA
PEMS-BAY
...
AutoSTFAutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal ForecastingCode
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TrafficLargeSTPatchSTGEfficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management PerspectiveCode
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KDD
2025
TrafficCHITaxi
CHIBike
WSHBike
NYBike
ProSTProST: Prompt Future Snapshot on Dynamic Graphs for Spatio-Temporal PredictionNoneKDD
2025
Traffic
unseen
NYCTaxi
NYCBike
BJTaxi
STEVESeeing the Unseen: Learning Basis Confounder Representations for Robust Traffic PredictionCode
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MultivariatTimesNetDUETDUET: Dual Clustering Enhanced Multivariate Time Series ForecastingCode
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MultivariatTimesNetTSFM-BenchTSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series ForecastingCode
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MultivariatTimesNetQuantumTimeQuantum Time-index Models with Reservoir for Time Series ForecastingCode
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MultivariatTimesNetST-MTMST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series ForecastingCode
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MultivariatTimesNetCMACMA: A Unified Contextual Meta-Adaptation Methodology for Time-Series Denoising and PredictionCode
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MultivariatTimesNetCrossLinearCrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous VariablesCode
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MultivariatTimesNetBLASTBLAST: Balanced Sampling Time Series Corpus for Universal Forecasting ModelsCode
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MultivariatTimesNetTimeCapsuleTimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive RepresentationsCode
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MultivariatTimesNetMoASemantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series ForecastingCode
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MultivariatTimesNetSDESDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series ForecastingCode
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TrafficBIKE
PEMS03
BJ500
METR-LA
STH-SepNetDecoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive HypergraphsCode
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2025
Evolve TrafficElectricity
PeMS
Weather
STEVBeyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal LearningCode
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KDD
2025
TrafficPEMS04
PEMS08
METR-LA
STDNSpatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow ForecastingCode
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AAAI
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Metro TrafficPEMS
Urban Rail
ReDyNetResponsive Dynamic Graph Disentanglement for Metro Flow ForecastingCode
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TrafficPEMS03
PEMS04
PEMS07
PEMS08
STSGNNDesigning Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph ModelingCode
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2025
Foundation
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PEMS03
PEMS04
METR-LA
STD-PLMSTD-PLM: Understanding Both Spatial and Temporal Properties of SpatialTemporal Data with PLMCode
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2025
Inductive
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PEMS03
PEMS04
METR-LA
ST-FiTST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training DataCode
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2025
Traffic
Distillation
PEMS03
PEMS04
PEMS07
PEMS08
METR-LA
LightSTEfficient Traffic Prediction through Spatio-Temporal DistillationCode
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AAAI
2025
FL
Traffic
PEMS03
PEMS04
PEMS07
PEMS08
FUELSPersonalized Federated Learning for SpatioTemporal Forecasting: A Dual Semantic Alignment-Based Contrastive ApproachNoneAAAI
2025
ST SSL
Traffic
PEMS03
PEMS04
PEMS07
PEMS08
SSL-STMFormerSSL-STMFormer: Self-Supervised Learning SpatioTemporal Entanglement Transformer for Traffic Flow PredictionCode
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2025
Fairness
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PEMS04
PEMS08
METR-LA
FairTPFairTP: A Prolonged Fairness Framework for Traffic PredictionCode
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2025
SSL
Pretrain
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PEMS07
PEMS08
ST-RePST-ReP: Learning Predictive Representations Efficiently for SpatialTemporal ForecastingCode
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2025
Long-term
Traffic
PEMS03
PEMS04
PEMS07
PEMS08
METR-LA
DST-MambaDecomposed Spatio-Temporal Mamba for Long-Term Traffic PredictionCode
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2025
CrossCity
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PEMS03
PEMS04
PEMS08
TSJTDrawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal ForecastingNoneAAAI
2025
MultivariatETT
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ECL
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HCANHierarchical Classification Auxiliary Network for Time Series ForecastingCode
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MultivariatTimesNetTimeCMATimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality AlignmentCode
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2025
MultivariatETT
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ECL
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AMDAdaptive Multi-Scale Decomposition Framework for Time Series ForecastingCode
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MultivariatTimesNetTimes2DTimes2D: Multi-Period Decomposition and Derivative Mapping for General Time Series ForecastingCode
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MultivariatTimesNetVarDropVarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series ForecastingCode
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MultivariatTimesNetPatchMLPUnlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series ForecastingCode
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2025
MultivariatTimesNetAmplifierAmplifier: Bringing Attention to Neglected Low-Energy Components in Time Series ForecastingCode
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MultivariatTimesNetP-sLSTMUnlocking the Power of LSTM for Long Term Time Series ForecastingCode
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2025
MultivariatTimesNetApollo-ForecastApollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series ForecastingCode
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MultivariatTimesNetTAFASBattling the Non-stationarity in Time Series Forecasting via Test-time AdaptationCode
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AAAI
2025
MultivariatETT
Weather
ECL
Traffic
Solar
Stock
Exchange
ARMDAuto-Regressive Moving Diffusion Models for Time Series ForecastingCode
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2025
MultivariatTimesNetxPatchxPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend DecompositionCode
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AAAI
2025
MultivariatETT
ECL
Exchange
Traffic
Weather
AffirmAffirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series ForecastingCode
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AAAI
2025
MultivariatETT
Weather
ECL
LSINetA Lightweight Sparse Interaction Network for Time Series ForecastingCode
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AAAI
2025
MultivariatSolar
ECL
Traffic
Taxi
Wikipedia
HDTHDT: Hierarchical Discrete Transformer for Multivariate Time Series ForecastingCode
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MultivariatTimesNetHyperMixerHyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series ForecastingNoneAAAI
2025
MultivariatTimesNetFilterTSFilterTS: Comprehensive Frequency Filtering for Multivariate Time Series ForecastingCode
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2025
MultivariatTimesNetWaveletMixerWaveletMixer: A Multi-resolution Wavelets Based MLP-Mixer For Multivariate Long-term Time Series ForecastingNoneAAAI
2025
MultivariatETT
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ECL
TimePFNTimePFN: Effective Multivariate Time Series Forecasting with Synthetic DataCode
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2025
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Solar
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Weather
WPMixerWPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series ForecastingCode
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MultivariatTimesNetFSattenRevisiting Attention for Multivariate Time Series ForecastingCode
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MultivariatTimesNetSeqComplementorSequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable SequencesNoneAAAI
2025
MultivariatTimesNetCALFCALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-TuningCode
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2025
MultivariatETT
Weather
ECL
Solar
CSformerCSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series ForecastingNoneAAAI
2025
MultivariatECL
Exchange
ETTh2
ETTm1
LSTDDisentangling Long-Short Term State Under Unknown Interventions for Online Time Series ForecastingCode
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AAAI
2025
AnalysisM3
M4
Tourism
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model ShineCode
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AAAI
2025
SSL ReprSleepEEG
UCR
FMIFrequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation LearningCode
Stars
Forks
AAAI
2025
SSL
Pretrain
ETT
Exchange
PEMS
DropPatchEnhancing Masked Time-Series Modeling via Dropping PatchesNoneAAAI
2025
MultivariatTimesNetSoPNon-collective Calibrating Strategy for Time Series ForecastingCode
Stars
Forks
IJCAI
2025
MultivariatTimesNetVisMoESeeing Sequences like Humans: Pattern Classification Driven Time-Series Forecasting via Vision Language ModelsCode
Stars
Forks
CIKM
2025
MultivariatTimesNetBIM3Bidirectional Temporal-Aware Modeling with Multi-Scale Mixture-of-Experts for Multivariate Time Series ForecastingCode
Stars
Forks
CIKM
2025
MultivariatTimesNetBALM-TSBALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series ForecastingCode
Stars
Forks
CIKM
2025
MultivariatTimesNetAdaPatchAdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series ForecastingCode
Stars
Forks
CIKM
2025
MultivariatTimesNetWDformerWDformer: A Wavelet-based Differential Transformer Model for Time Series ForecastingCode
Stars
Forks
CIKM
2025
MultivariatTimesNetHRCformerHRCformer: Hierarchical Recursive Convolution-Transformer with Multi-Scale Adaptive Recalibration for Time Series ForecastingNoneCIKM
2025
MultivariatMETR-LA
PEMS-BAY
China-AQI
Electricity
Solar
Temperature
ST-HyperST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series ForecastingNoneCIKM
2025
MultivariatTimesNetEAPformerBidirectional Temporal-Aware Modeling with Multi-Scale Mixture-of-Experts for Multivariate Time Series ForecastingCode
Stars
Forks
CIKM
2025
MultivariatTimesNetMillGNNMillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series ForecastingNoneCIKM
2025
MultivariatTimesNetMSOFormerMSOFormer: Multi-scale Transformer with Orthogonal Embedding and Frequency Modeling for Multivariate Time Series ForecastingNoneCIKM
2025
Zero ShotParking
TimesNet
DANetDANet: A RAG-inspired Dual Attention Model for Few-shot Time Series PredictionNoneCIKM
2025
MultivariatTimesNetStructural Entropy-based Multivariate Time Series ForecastingNoneCIKM
2025
TrafficPEMS03
PEMS04
PEMS07
PEMS08
METR-LA
PEMS-BAY
TopKNetTopKNet:Learning to Perceive the Top-K Pivotal Nodes in Spatio-Temporal Data for Traffic ForecastingCode
Stars
Forks
CIKM
2025
TrafficNYCTaxi
CityBike
METR-LA
PEMS-BAY
ST-LINKST-LINK: Spatially-Aware Large Language Models for Spatio-Temporal ForecastingCode
Stars
Forks
CIKM
2025
Traffic
Random Missing
PEMS04
PEMS08
STMMoESpatio-Temporal Forecasting under Open-World Missingness with Adaptive Mixture-of-ExpertsCode
Stars
Forks
CIKM
2025
Traffic
Node Missing
PEMS03
PEMS04
PEMS07
PEMS08
METR-LA
PEMS-BAY
...
STA-GANNSTA-GANN: A Valid and Generalizable Spatio-Temporal Kriging ApproachCode
Stars
Forks
CIKM
2025
FinanceCrypto
Forex
Future
Stock
Econ
Others
FinCastFinCast: A Foundation Model for Financial Time-Series ForecastingCode
Stars
Forks
CIKM
2025
Wind PowerChina
Texas
Multivariate Wind Power Time Series Forecasting with Noise-Filtering Neural ODEsNoneCIKM
2025
TrafficPEMS04
PEMS07
PEMS08
CHIBike
DSformerExtracting Global Temporal Patterns Within Short Look-Back Windows for Traffic ForecastingCode
Stars
Forks
CIKM
2025
TrafficPEMS03
PEMS04
PEMS07
PEMS08
DoPDecoder-only Pre-training Enhancement for Spatio-temporal Traffic ForecastingCode
Stars
Forks
CIKM
2025
TrafficPEMS07(M)
PEMS07
PEMS08
NYCTaxi
NYCBike
SSMOEMixture of Semantic and Spatial Experts for Explainable Traffic PredictionNoneCIKM
2025
TrafficPEMS04
PEMS07
PEMS08
MultiGranForecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference RegimesNoneCIKM
2025
TrafficI-80
US-101
Complex-
highway
TPNBalance and Brighten: A Twin-Propeller Network to Release Potential of Physics Laws for Traffic State EstimationCode
Stars
Forks
CIKM
2025
TrafficPEMS04
PEMS07
PEMS08
Jinan
FEDDGCNFEDDGCN: A Frequency-Enhanced Decoupling Dynamic Graph Convolutional Network for Traffic Flow PredictionNoneCIKM
2025
MultivariatTimesNetSSCNNParsimony or Capability? Decomposition Delivers Both in Long-term Time Series ForecastingCode
Stars
Forks
NIPS
2024
MultivariatTimesNetAre Language Models Actually Useful for Time Series Forecasting?Code
Stars
Forks
NIPS
2024
MultivariatTimesNetPGNPGN: The RNN's New Successor is Effective for Long-Range Time Series ForecastingCode
Stars
Forks
NIPS
2024
MultivariatTimesNetCATSAre Self-Attentions Effective for Time Series Forecasting?Code
Stars
Forks
NIPS
2024
MultivariatTimesNetAttraosAttractor Memory for Long-Term Time Series Forecasting: A Chaos PerspectiveCode
Stars
Forks
NIPS
2024
MultivariatTimesNetTime-FFMTime-FFM: Towards LM-Empowered Federated Foundation Model for Time Series ForecastingCode
Stars
Forks
NIPS
2024
MultivariatTimesNetChimeraChimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space ModelsCode
Stars
Forks
NIPS
2024
MultivariatTimesNetTimeXerTimeXer: Empowering Transformers for Time Series Forecasting with Exogenous VariablesCode
Stars
Forks
NIPS
2024
MultivariatTimesNetMiTSformerAddressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and AlignmentCode
Stars
Forks
NIPS
2024
MultivariatTimesNetTTMsTiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time SeriesCode
Stars
Forks
NIPS
2024
MultivariatTimesNetSumbaStructured Matrix Basis for Multivariate Time Series Forecasting with Interpretable DynamicsCode
Stars
Forks
NIPS
2024
MultivariatTimesNetPeri-midFPeri-midFormer: Periodic Pyramid Transformer for Time Series AnalysisCode
Stars
Forks
NIPS
2024
MultivariatTimesNetAda-MSHyperAda-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series ForecastingCode
Stars
Forks
NIPS
2024
Multivariat...LPTMLarge Pre-trained time series models for cross-domain Time series analysis tasksCode
Stars
Forks
NIPS
2024
MultivariatTimesNetCCMFrom Similarity to Superiority: Channel Clustering for Time Series ForecastingCode
Stars
Forks
NIPS
2024
Add NewsElectricity
Exchange
Traffic
Bitcoin
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with ReflectionCode
Stars
Forks
NIPS
2024
MultivariatImageBind
IMU2CLIP
IMUGPT
HARGPT
LLaVA
UniMTSUniMTS: Unified Pre-training for Motion Time SeriesCode
Stars
Forks
NIPS
2024
AttackPEMS03
PEMS04
PEMS08
Weather
ETTm1
BackTimeBackTime: Backdoor Attacks on Multivariate Time Series ForecastingCode
Stars
Forks
NIPS
2024
Less dataElectricity
Solar
Traffic
PEMS-BAY
METR-LA
ChronoEpilogiChronoEpilogi: Scalable Time Series Selection with Multiple SolutionsCode
Stars
Forks
NIPS
2024
MultivariatTimesNetFANFrequency Adaptive Normalization For Non-stationary Time Series ForecastingCode
Stars
Forks
NIPS
2024
MultivariatTimesNetGLAFFRethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion PerspectiveCode
Stars
Forks
NIPS
2024
MultivariatTimesNetFilterNetFilterNet: Harnessing Frequency Filters for Time Series ForecastingCode
Stars
Forks
NIPS
2024
MultivariatTimesNetCycleNetCycleNet: Enhancing Time Series Forecasting through Modeling Periodic PatternsCode
Stars
Forks
NIPS
2024
MultivariatTimesNetRATDRetrieval-Augmented Diffusion Models for Time Series ForecastingCode
Stars
Forks
NIPS
2024
MultivariatTimesNetDDNDDN: Dual-domain Dynamic Normalization for Non-stationary Time Series ForecastingCode
Stars
Forks
NIPS
2024
MultivariatTimesNetFBMRethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series ForecastingCode
Stars
Forks
NIPS
2024
MultivariatTimesNetBSAIntroducing Spectral Attention for Long-Range Dependency in Time Series ForecastingCode
Stars
Forks
NIPS
2024
MultivariatTimesNetDeformableTSTDeformableTST: Transformer for Time Series Forecasting without Over-reliance on PatchingCode
Stars
Forks
NIPS
2024
MultivariatTimesNetSOFTSSOFTS: Efficient Multivariate Time Series Forecasting with Series-Core FusionCode
Stars
Forks
NIPS
2024
MultivariatTimesNetScaling Law for Time Series ForecastingCode
Stars
Forks
NIPS
2024
MultivariatTimesNetAutoTimesAutoTimes: Autoregressive Time Series Forecasters via Large Language ModelsCode
Stars
Forks
NIPS
2024
Multi TaskTimesNetUniTSUniTS: A Unified Multi-Task Time Series ModelCode
Stars
Forks
NIPS
2024
Foundation TS...MOMENTMOMENT: A Family of Open Time-series Foundation ModelsCode
Stars
Forks
ICML
2024
MultivariatTimesNetOSLAn Analysis of Linear Time Series Forecasting ModelsCode
Stars
Forks
ICML
2024
SixTimesNetUP2MEUP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series AnalysisCode
Stars
Forks
ICML
2024
MultivariatTimesNetSparseTSFSparseTSF: Modeling Long-term Time Series Forecasting with 1k ParametersCode
Stars
Forks
ICML
2024
MultivariatElectricity
PEMSD7M
BikeNYC
TimesNet
SCNNDisentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series ForecastingCode
Stars
Forks
TKDE
2024
MultivariatTimesNetiTransformeriTransformer: Inverted Transformers Are Effective for Time Series ForecastingCode
Stars
Forks
ICLR
2024
MultivariatNorPool
Caiso
Traffic
Electricity
Weather
Exchange
ETT
Wind
mr-DiffMulti-Resolution Diffusion Models for Time Series ForecastingNoneICLR
2024
MultivariatETT
Electricity
Weather
Traffic
Exchange
ILI
ModernTCNModernTCN: A Modern Pure Convolution Structure for General Time Series AnalysisCode
Stars
Forks
ICLR
2024
MultivariatTimesNetTime-LLMTime-LLM: Time Series Forecasting by Reprogramming Large Language ModelsCode
Stars
Forks
ICLR
2024
MultivariatTimesNetTEMPOTEMPO: Prompt-based Generative Pre-trained Transformer for Time Series ForecastingCode
Stars
Forks
ICLR
2024
MultivariatTimesNetCARDCARD: Channel Aligned Robust Blend Transformer for Time Series ForecastingCode
Stars
Forks
ICLR
2024
MultivariatTimesNetARMARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual LearningNoneICLR
2024
MultivariatTimesNetDAMDAM: Towards a Foundation Model for ForecastingNoneICLR
2024
MultivariatTimesNet
PEMS3478
TimeMixerTimeMixer: Decomposable Multiscale Mixing for Time Series ForecastingCode
Stars
Forks
ICLR
2024
MultivariatTimesNetPDFPeriodicity Decoupling Framework for Long-term Series ForecastingCode
Stars
Forks
ICLR
2024
Multivariat
Missing Value
METR-LA
Electricity
PEMS
ETT
BeijingAir
BiTGraphBiased Temporal Convolution Graph Network for Time Series Forecasting with Missing ValuesCode
Stars
Forks
ICLR
2024
MultivariatTimesNet
PEMS08
LIFTRethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading IndicatorsCode
Stars
Forks
ICLR
2024
MultivariatETT
Weather
ILI
Traffic
STanHopSTanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series PredictionCode
Stars
Forks
ICLR
2024
MultivariatETT
Weather
Electricity
Traffic
ILI
CloudCluster
PathformerPathformer: Multi-scale Transformers with Adaptive Pathways for Time Series ForecastingCode
Stars
Forks
ICLR
2024
MultivariatTimesNetpitsLearning to Embed Time Series Patches IndependentlyCode
Stars
Forks
ICLR
2024
MultivariatETT
Weather
Electricity
Traffic
FITSFITS: Modeling Time Series with 10k ParametersCode
Stars
Forks
ICLR
2024
MultivariatETT
Electricity
Weather
Lora
AutoTCLParametric Augmentation for Time Series Contrastive LearninCode
Stars
Forks
ICLR
2024
MultivariatETT
Exchange
ILI
GLIPInterpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series PredictionCodeICLR
2024
MultivariatTimesNetFredformerFredformer: Frequency Debiased Transformer for Time Series ForecastingCode
Stars
Forks
KDD
2024
MultivariatTimesNetGPHTGenerative Pretrained Hierarchical Transformer for Time Series ForecastingCode
Stars
Forks
KDD
2024
MultivariatTimesNetFRNetFRNet: Frequency-based Rotation Network for Long-term Time Series ForecastingCode
Stars
Forks
KDD
2024
Missing
MTS
METR-LA
PEMS-BAY
PEMS04
PEMS08
China AQI
GinARGinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable MissingCode
Stars
Forks
KDD
2024
MultivariatMETR-LA
PEMS-BAY
PEMS04
PEMS07
PEMS08
HimNetHeterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series ForecastingCode
Stars
Forks
KDD
2024
MultivariatTimesNetCDSCalibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution ShiftCode
Stars
Forks
KDD
2024
Foundation
Traffic
TaxiBJ
Crawd
BikeNYC
Cellular
TDrive
TrafficSH
UniSTUniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal PredictionCode
Stars
Forks
KDD
2024
Early
Traffic
METR-LA
EMS
NYPD
STEMOSTEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement LearningCode
Stars
Forks
KDD
2024
New nodes
Traffic
Large-STSTONESTONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal ShiftsCode
Stars
Forks
KDD
2024
Irregular
Traffic
Zhuzhou
Baoding
AseerIrregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional NetworksCode
Stars
Forks
KDD
2024
MultivariatStock
Exchange
Weather
CONTIMEAddressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative RegularizationCode
Stars
Forks
KDD
2024
MultivariatPEMS07
Large-ST
GWTPre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural NetworksCodeKDD
2024
Large ScaleLarge-STRPMixerRPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal DataCodeKDD
2024
Demand Supply
Prediction
Shanghai
Zhengzhou
MulSTEMulSTE: A Multi-view Spatio-temporal Learning Framework with Heterogeneous Event Fusion for Demand-supply PredictionCode
Stars
Forks
KDD
2024
Multivariat108sAutoXPCRAutoXPCR: Automated Multi-Objective Model Selection for Time Series ForecastingTF
Stars
Forks
KDD
2024
MultivariatTimesNetUniTimeUniTime: A Language-Empowered Unified Model for Cross-Domain Time Series ForecastingCode
Stars
Forks
WWW
2024
MultivariatRoss
Saratoga
UpperPen
SFC
DANLearning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series ForecastingCode
Stars
Forks
AAAI
2024
MultivariatILI
Weather
Traffic
Electricity
ETT
Exchange
HDMixerHDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series ForecastingCode
Stars
Forks
AAAI
2024
MultivariatPEMS03
PEMS04
PEMS07
PEMS08
England
TaxiBJ
PEMS-BAY
STPGNNSpatio-Temporal Pivotal Graph Neural Networks for Traffic Flow ForecastingNoneAAAI
2024
MultivariatFD001
FD002
FD003
FD004
FC-STGNNFully-Connected Spatial-Temporal Graph for Multivariate Time-Series DataCode
Stars
Forks
AAAI
2024
MultivariatPEMS04
PEMS08
blockchain
TMP-NetsTime-Aware Knowledge Representations of Dynamic Objects with Multidimensional PersistenceNoneAAAI
2024
MultivariatMETR-LA
PEMS-BAY
ModWaveMLPModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic ForecastingTF
Stars
Forks
AAAI
2024
MultivariatFlight
Weather
ETT
Electricity
Exchange
MSGNetMSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series ForecastingCode
Stars
Forks
AAAI
2024
MultivariatSelf-PeMSDLFTowards Dynamic Spatial-Temporal Graph Learning: A Decoupled PerspectiveCode
Stars
Forks
AAAI
2024
MultivariatETT
Weather
ILI
Exchange
HTV-TransConsidering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for ForecastingCode
Stars
Forks
AAAI
2024
MultivariatA-share
Cross-Market
ETT
ST-DANAdaptive Meta-Learning Probabilistic Inference Framework for Long Sequence PredictionCode
Stars
Forks
AAAI
2024
SixTimesNetCTRLAn NCDE-based Framework for Universal Representation Learning of Time SeriesCode
Stars
Forks
IJCAI
2024
TrafficPEMS3478STD-MAESpatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal ForecastingCode
Stars
Forks
IJCAI
2024
MultivariatTimesNetDERITSDeep Frequency Derivative Learning for Non-stationary Time Series ForecastingNoneIJCAI
2024
MultivariatTimesNetSkip-TimefSkip-Timeformer: Skip-Time Interaction Transformer for Long Sequence Time-Series ForecastingNoneIJCAI
2024
MultivariatTimesNetVCformerVCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series ForecastingCode
Stars
Forks
IJCAI
2024
MultivariatTimesNetLeRetLeRet: Language-Empowered Retentive Network for Time Series ForecastingCode
Stars
Forks
IJCAI
2024
Missing VariateMETR-LA
Solar
Traffic
ECG5000
SDformerSDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term ForecastingNoneIJCAI
2024
TrafficMETR-LA
PEMS-BAY
PEMSD7M
DCSTMake Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed PredictionCode
Stars
Forks
IJCAI
2024
TrafficMETR-LA
PEMS-BAY
ST-nFBSTFull Bayesian Significance Testing for Neural Networks in Traffic ForecastingCode
Stars
Forks
IJCAI
2024
multisource
SSL
BikeIn
BikeOut
TaxiIn
TaxiOut
Air
MoSSLMulti-Modality Spatio-Temporal Forecasting via Self-Supervised LearningCode
Stars
Forks
IJCAI
2024
Traffic
CrossCity
METR-LA
PEMS-BAY
DiDiCD
DiDiSZ
pFedCTPPersonalized Federated Learning for Cross-City Traffic PredictionCode
Stars
Forks
IJCAI
2024
MultivariatTimesNetSDformer[SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Ti

Truncated — view the full README on GitHub.

accident-detection
anomaly-detection
deep-learning
demand-forecasting
location
multivariate-timeseries
paper-list
probabilistic-models
spatio-temporal
spatio-temporal-data
spatio-temporal-modeling
spatio-temporal-prediction
time-series
time-series-forecasting
time-series-imputation
time-series-prediction
traffic-prediction
travel-time-prediction

lixus7/Time-Series-Works-Conferences

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

1,040

921 commits

updated Sep 29, 2026

See the code

README

Time-Series Works and Conferences

About Me (Du Yin)

I am a Ph.D. student in the School of Computer Science and Engineering (CSE) at UNSW Sydney, Australia, where I am fortunate to be co-supervised by Prof. Flora Salim and Dr. Hao Xue.

My research is driven by a strong passion for Time-Series Research and Deep Learning. Currently, my work focuses on developing next-generation Time-Series Foundation Models (TSFMs), generative modeling, and scalable frameworks for complex temporal and spatio-temporal data mining.

Prior to joining UNSW, I received my Master's degree, during which I had the privilege of being advised by Prof. Xuan Song, Dr. Quanjun Chen, and Prof. Renhe Jiang.

Backlog (To do):

Recent Time Series Works Grouped by Task

Multivariat Time Series Forecasting

TaskDataModelPaperCodePublication
Foundation
Multivariat
TimesNetOliviaOlivia: Harmonizing Time Series Foundation Models with Power Spectral DensityNoneICML
2026
Foundation
Multivariat
TimesNetTime-PEFTTime-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation ModelsNoneICML
2026
Foundation
Multivariat
TimesNetUniversal Redundancies in Time Series Foundation ModelsCode
Stars
Forks
ICML
2026
LLM
Reasoning
TimesNetVeriTimeTime Series Reasoning via Process-Verifiable Thinking Data Synthesis and Scheduling for Tailored LLM ReasoningNoneICML
2026
LLM
Medical
HAR-CoT
Sleep-CoT
ECG-QA
MIMIC
OpenTSLMOpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series DataCode
Stars
Forks
ICML
2026
LLM
Benchmark
Health TSHEARTSHEARTS: Benchmarking LLM Reasoning on Health Time SeriesCode
Stars
Forks
ICML
2026
PositionTimesNetPosition: Time-Series Foundation Models Require Explicit Domain-Level BenchmarksNoneICML
2026
Foundation
Benchmark
ZTFStarEmbedStarEmbed: Benchmarking Time Series Foundation Models on Astronomical Observations of Variable StarsCode
Stars
Forks
ICML
2026
PhysiologicalMIMIC
PhysioNet
Self-Supervised Dynamical System Representations for Physiological Time-SeriesCode
Stars
Forks
ICML
2026
Dataset
Condensat
TimesNetOne Batch Is Enough: A Unified Dataset Condensation Framework for General Time Series AnalysisNoneICML
2026
Foundation
Multivariat
TimesNetZeusZeus: Towards Tuning-Free Foundation Model for Time Series AnalysisNoneICML
2026
Dataset
Multimodal
TelecomTSTelecomTS: A Multi-Modal Observability Dataset for Time Series and Language AnalysisCode
Stars
Forks
ICML
2026
Multimodal
Alignment
TimesNetTime Series, Vision, and Language: Exploring the Limits of Alignment in Contrastive Representation SpacesNoneICML
2026
MultivariatTimesNetL-DriveL-Drive: Beyond a Single Mapping—Latent Context Drives Time Series ForecastingCode
Stars
Forks
ICML
2026
MultivariatTimesNetConFluxConFlux: Multivariate Time Series in Flux, One Unified Forecast in ConfluenceNoneICML
2026
MultivariatTimesNetPESD-TSFPESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series ForecastingNoneICML
2026
MultivariatTimesNetParameter Decorrelation via Transition-Variance Alignment for Multivariate Time-series ForecastingNoneICML
2026
BenchmarkTimesNetTIMEIt's TIME: Towards the Next Generation of Time Series Forecasting BenchmarksCode
Stars
Forks
ICML
2026
Robust
Multivariat
TimesNetDropoutTSDropoutTS: Sample-Adaptive Dropout for Robust Time Series ForecastingCode
Stars
Forks
ICML
2026
MultivariatTimesNetTime-series forecasting through the lens of dynamicsCode
Stars
Forks
ICML
2026
Weather
Benchmark
WEATHER-5KBenchmarking Physics-Informed Time-Series Models for Operational Global Station Weather ForecastingCode
Stars
Forks
ICML
2026
Efficient
Multivariat
TimesNetBPEByte Pair Encoding for Efficient Time Series ForecastingNoneICML
2026
Backdoor
Defense
TimesNetTimeGuardTimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series ForecastingCode
Stars
Forks
ICML
2026
CounterfacTimesNetWhat if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual ConditionsNoneICML
2026
DistillationTimesNetBeyond Point Predictions: Manifold Expansion and Dual Alignment for Robust Time Series DistillationNoneICML
2026
Foundation
Multivariat
TimesNetChannel Adapter for Time Series Foundation Models in Zero-Shot Multivariate ForecastingNoneICML
2026
MultivariatTimesNetBeyond Extrapolation: Knowledge Utilization Paradigm with Bidirectional Inspiration for Time Series ForecastingNoneICML
2026
Source-Free
Multivariat
TimesNetTimePDInvariant Representation Learning for Source-Free Time Series Forecasting with LLM-Centric Proxy DenoisingCode
Stars
Forks
ICML
2026
MultivariatTimesNetFIPNFIPN: Forward Self-Organizing Interpretable Polynomial Networks for Time Series ForecastingNoneICML
2026
MultivariatTimesNetDMANetAnti-Aliasing Matters: A Dynamic Network for Time Series ForecastingCode
Stars
Forks
ICML
2026
Non-stationary
Multivariat
TimesNetDSENetDSENet: A Novel Dual-Stream Enhancement Network for Multi-Scale Non-Stationary Time Series ForecastingNoneICML
2026
MultivariatTimesNetCrispCrisp: A Spectral-Based Interaction Strategy for Multivariate Time Series ForecastingNoneICML
2026
AnalysisTimesNetBeyond Model Ranking: Predictability-Aligned Evaluation for Time Series ForecastingCode
Stars
Forks
ICML
2026
MultivariatTimesNetKITEKITE: Knowledge-Guided Probabilistic Modeling for Time Series Forecasting with Exogenous VariablesNoneICML
2026
LLM
Multivariat
TimesNetTsLLMTsLLM: Augmenting LLMs for General Time Series Understanding and PredictionNoneICML
2026
MultivariatTimesNetReNFReNF: Rethinking the Principles of Neural Long-Term Time Series ForecastersCode
Stars
Forks
ICML
2026
MultivariatTimesNetReviving Error Correction in Modern Deep Time-Series ForecastingCode
Stars
Forks
ICML
2026
MultivariatTimesNetMemCastMemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned ReasoningCode
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ICML
2026
Adversarial
Multivariat
TimesNetTSFAdvTSFAdv: Frequency-Guided Black-Box Adversarial Attacks on Time Series ForecastingNoneICML
2026
Non-stationary
Multivariat
TimesNetDynamic
TMoE
Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series ForecastingCode
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2026
MultivariatTimesNetFernEllipsoidal Time Series ForecastingNoneICML
2026
Generative
Multivariat
TimesNetCoGenCastCoGenCast: A Coupled Autoregressive–Flow Generative Framework for Time Series ForecastingCode
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2026
MultivariatTimesNetStretchTimeStretchTime: Adaptive Time Series Forecasting via Symplectic AttentionNoneICML
2026
Robust
Multivariat
TimesNetRobust Inter-Series Dependency Modeling for Time Series Forecasting via Information-Theoretic AlignmentNoneICML
2026
AnalysisTimesNetCombiTSCombinationTS: A Modular Framework for Understanding Time-Series Forecasting ModelsCode
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ICML
2026
Foundation
Multivariat
TimesNetSee More, Forecast Better and Faster: Enhancing Time Series Foundation Models via Inference-Time Plug-and-Play DownsamplingCode
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ICML
2026
Robust
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TimesNetTameRTaming the Recent-Data Bias: Towards Robust Time Series Forecasting with Global ContextCode
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ICML
2026
MultivariatTimesNetKineFlowKineFlow: Kinematic Second-Order Flow Matching for Time-Series ForecastingNoneICML
2026
MultivariatTimesNetLatentTSFFrom Observations to States: Latent Time Series ForecastingCode
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2026
Foundation
Multivariat
TimesNetBaguan-TSBaguan-TS: dual in-context learning model for time series forecasting with covariatesNoneICML
2026
PositionTimesNetPosition: Current Benchmarking Hinders Real Progress in Deep Learning for Time Series ForecastingCode
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2026
LLM
Multivariat
TimesNetTimeMRATimeMRA: LLM-Empowered Time Series Forecasting via Multi-Scale Retrieval-Augmented RepresentationsNoneICML
2026
Multimodal
Evaluation
TimesNetRethinking Multimodal Time-Series Forecasting EvaluationNoneICML
2026
Irregular
Multivariat
TimesNetTFMixerBridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series ForecastingNoneICML
2026
MultivariatTimesNetDAGDAG: A Dual Correlation Network for Time Series Forecasting with Exogenous VariablesCode
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ICML
2026
Robust
Multivariat
TimesNetSEERSEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and ReplacementNoneICML
2026
MultivariatTimesNetTimeSeedTimeSeed: Effective Time Series Forecasting with Sparse Endogenous VariablesNoneICML
2026
MultivariatTimesNetInformation Geometry Loss for Time Series ForecastingNoneICML
2026
MultivariatTimesNetKUMAKUMA: A Novel Framework with Koopman Separation and Efficient Multilevel Extraction in Time Series ForecastingNoneICML
2026
Scaling
Multivariat
TimesNetRevealing Scaling Behavior in Large-scale Time Series Models: Implications for More Efficient and Accurate ForecastingNoneICML
2026
Non-stationary
Multivariat
TimesNetPULSEPULSE: Generative Phase Evolution for Non-Stationary Time Series ForecastingCode
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Forks
ICML
2026
Diffusion
Multivariat
TimesNetNot All Frequencies Are Equal: Energy-Adaptive Diffusion for Time Series ForecastingNoneICML
2026
Irregular
Medical
MIMICMoRGENMoRGEN: Mixture-of-Resolutions Generative Forecasting for Irregularly Sampled Medical Time-Series DataNoneICML
2026
MultivariatTimesNetMixLinearMixLinear: Extreme Low Resource Multivariate Time Series Forecasting with ParametersCode
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ICLR
2026
MultivariatTimesNetCoRACoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware AdapterCode
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ICLR
2026
MultivariatTimesNetPHATPHAT: Modeling Period Heterogeneity for Multivariate Time Series ForecastingCode
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ICLR
2026
MultivariatTimesNetNumerionNumerion: A Multi-Hypercomplex Model for Time Series ForecastingNoneICLR
2026
MultivariatTimesNetCOSACOSA: Context-aware Output-Space Adapter for Test-Time Adaptation in Time Series ForecastingCode
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ICLR
2026
MultivariatTimesNetCPiRiCPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series ForecastingCode
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ICLR
2026
MultivariatTimesNetGTREnhancing Multivariate Time Series Forecasting with Global Temporal RetrievalCode
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ICLR
2026
MultivariatTimesNetTimeAliBridging Past and Future: Distribution-Aware Alignment for Time Series ForecastingCode
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ICLR
2026
MultivariatTimesNetAre Global Dependencies Necessary? Scalable Time Series Forecasting via Local Cross-Variate ModelingCode
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ICLR
2026
MultivariatTimesNetGCGNetGCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous VariablesCode
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ICLR
2026
MultivariatTimesNetTest-Time Efficient Pretrained Model Portfolios for Time Series ForecastingNoneICLR
2026
MultivariatTimesNetMMPDMMPD: Diverse Time Series Forecasting via Multi-Mode Patch Diffusion LossCode
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ICLR
2026
Robust
Multivariat
TimesNetLocal Geometry Attention for Time Series Forecasting under Realistic CorruptionsCode
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ICLR
2026
MultivariatTimesNetFACTFACT: Fine-grained Across-variable Convolution for Multivariate Time Series ForecastingCode
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ICLR
2026
MultivariatTimesNetUnlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series ForecastingCode
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ICLR
2026
Foundation
Multivariat
AuroraAurora: Towards Universal Generative Multimodal Time Series ForecastingCode
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Forks
ICLR
2026
MultivariatTimesNetThe Forecast After the Forecast: A Post-Processing Shift in Time SeriesCode
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ICLR
2026
MultivariatTimesNetADAPT-ZOnline time series prediction using feature adjustmentCode
Stars
Forks
ICLR
2026
Robust
Multivariat
ETT
Weather
EPA-Air
CTFTowards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and MissingnessCode
Stars
Forks
ICLR
2026
MultivariatTimesNetxCPDRouting Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral DecompositionCode
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Forks
ICLR
2026
Irregular
Multivariat
ASTGIASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series ForecastingCode
Stars
Forks
ICLR
2026
MultivariatTimesNetProtoTSProtoTS: Learning Hierarchical Prototypes for Explainable Time Series ForecastingCode
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ICLR
2026
MultivariatTimesNetPhaseFormerPhaseFormer: From Patches to Phases for Efficient and Effective Time Series ForecastingCode
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ICLR
2026
Irregular
Multivariat
ReIMTSLearning Recursive Multi-Scale Representations for Irregular Multivariate Time Series ForecastingCode
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ICLR
2026
MultivariatTimesNetCharacteristic Root Analysis and Regularization for Linear Time Series ForecastingCode
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ICLR
2026
MultivariatTimesNetSE-LLMSemantic-Enhanced Time-Series Forecasting via Large Language ModelsCode
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Forks
ICLR
2026
AnalysisTimesNetTimeRecipeTimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level EffectivenessCode
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ICLR
2026
MultivariatTimesNetShifTSTackling Time-Series Forecasting Generalization via Mitigating Concept DriftCode
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ICLR
2026
MultivariatTimesNetQDFQuadratic Direct Forecast for Training Multi-Step Time-Series Forecast ModelsCode
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ICLR
2026
MultivariatTimesNetDistDFDistDF: Time-series Forecasting Needs Joint-distribution Wasserstein AlignmentCode
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ICLR
2026
TrafficNGSIM
HighD
Micro-Macro Coupled Koopman Modeling on Graph for Traffic Flow PredictionNoneICLR
2026
Evolve
Traffic
METR-LA
PEMS
STBPA General Spatio-Temporal Backbone with Scalable Contextual Pattern Bank for Urban Continual ForecastingCode
Stars
Forks
ICLR
2026
AnalysisTimesNetBeyond Accuracy: Are Time Series Foundation Models Well-Calibrated?Code
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ICLR
2026
Foundation
Multivariat
TimesNetUniCAUniCA: Unified Covariate Adaptation for Time Series Foundation ModelCode
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ICLR
2026
MultivariatTimesNetTimeOmni-1TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language ModelsCode
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ICLR
2026
Foundation
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TimesNetRating Quality of Diverse Time Series Data by Meta-learning from LLM JudgmentCode
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ICLR
2026
Foundation
Multivariat
TimesNetAdapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation ModelsCode
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ICLR
2026
FL
Foundation
TimesNetFeDaLFeDaL: Federated Dataset Learning for General Time Series Foundation ModelsCode
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ICLR
2026
Foundation
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TimesNetSwiftTSSwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-LearningCode
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ICLR
2026
Foundation
Multivariat
TimesNetSFFLost in the Non-convex Loss Landscape: How to Fine-tune the Large Time Series Model?Code
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ICLR
2026
Foundation
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TimesNetGTMGTM: A General Time-series Model for Enhanced Representation Learning of Time-Series dataCode
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ICLR
2026
MultivariatTimesNetMulti-Scale Hypergraph Meets LLMs: Aligning Large Language Models for Time Series AnalysisCode
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ICLR
2026
MultivariatTimesNetAutoDAAutoDA-Timeseries: Automated Data Augmentation for Time SeriesCode
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Forks
ICLR
2026
Foundation
Multivariat
TimesNetTS-MemoryTS-Memory: Plug-and-Play Memory for Time Series Foundation ModelsCode
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Forks
KDD
2026
MultivariatEliciting Frequency-Conditioned Spatial Dynamics for Long-Term Spatio-Temporal ForecastingCode
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Forks
KDD
2026
MultivariatTimesNetCCDCCD: Capturing Cross-Correlations with Deformable Convolutional Networks for Multivariate Time Series ForecastingCode
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Forks
KDD
2026
MultivariatTimesNetSTM3STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series PredictionCode
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Forks
KDD
2026
MultivariatTimesNetCAST-NormCAST-Norm: Coupled Adaptive Spatio-Temporal Normalization for Multivariate Time Series ForecastingCode
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Forks
KDD
2026
MultivariatTimesNetRePatchRePatch: Learning Entropy-Guided Patch Structures with Quantized Representations for Time Series ForecastingCode
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Forks
KDD
2026
TrafficLargeSTSTUNetUnified Spatio-Temporal Tokens are Bases for Generalizable Traffic ForecastingCode
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Forks
KDD
2026
TrafficPEMSHURSTHURST: Heterogeneity-Adaptive Urban Foundation Models for Spatiotemporal Prediction via Self-Partitional Mixture-of-Spatial-ExpertsNoneKDD
2026
MultivariatTimesNetSARAFStationarity-Aware Retrieval-Augmented Time Series ForecastingCode
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Forks
KDD
2026
MultivariatTimesNetTS-MTMTS-MTM: Temporal-Spectral Masked Time-Series Modeling for ForecastingCode
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Forks
KDD
2026
TrafficPEMSBeyond Language Processing: LLMs Rules-Injected Instruction Tuning for Traffic PredictionCode
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Forks
KDD
2026
MultivariatOrbit-Adaptive Zero-Shot Forecasting on Spatio-Temporal GraphCode
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Forks
KDD
2026
MultivariatTimesNetOne Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series DataNoneKDD
2026
MultivariatGODMGODM: Graph Orthogonal Diffusion Models for Spatio-Temporal ForecastingCodeKDD
2026
MultivariatTimesNetFAiTFAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series ForecastingCodeKDD
2026
MultivariatInvariant Structure Learning with Pre-trained Language Models for Spatio-temporal GraphCode
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Forks
KDD
2026
TrafficNYC
Washington DC
Chicago
FreMoFrequency-Domain Multi-Modality Transportation ModelingCode
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Forks
KDD
2026
MultivariatTimesNetPatchCLEPatchCLE: Breaking the Linear Representation Bottleneck in Time Series Forecasting via Soft Contrastive LearningCode
Stars
Forks
KDD
2026
Foundation
Multivariat
TimesNetMEMTSMEMTS: Internalizing Domain Knowledge via Parameterized Memory for Retrieval-Free Domain Adaptation of Time Series Foundation ModelsNoneKDD
2026
MultivariatTimesNetBeyond Linear Dynamics: Neural Bilinear Dynamical Models for Time Series ForecastingCode
Stars
Forks
KDD
2026
TrafficPeMSD4
PeMSD8
FT-AED
HK-Traffic
FedTTFedTT: A Federated Spatio-Temporal Learning Framework for Cross-City Traffic Knowledge TransferCodeKDD
2026
MultivariatTimesNetForecasting as Rendering: A 2D Gaussian Splatting Framework for Time Series ForecastingCode
Stars
Forks
KDD
2026
MultivariatTimesNetEfficient Test-Time Scaling for LLM-based Time Series ForecastingCode
Stars
Forks
KDD
2026
Domain
Forecasting
TimesNetAuraAura: Universal Multi-dimensional Exogenous Integration for Aviation Time SeriesNoneKDD
2026
Foundation
Multivariat
EpiRecipe
US disease surveillance
CAPELightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought ForecastingCode
Stars
Forks
KDD
2026
MultivariatTimesNetDSPRDSPR: Dual-Stream Physics-Residual Networks for Trustworthy Industrial Time Series ForecastingNoneKDD
2026
Domain
Forecasting
Fourier Geometric Wind Power Forecasting with Numerical Weather PredictionCode
Stars
Forks
KDD
2026
Foundation
Multivariat
Meteorology
Carbon flux
Soil moisture
Energy grid
GuardWhen to Trust, How to Distill: Multi-Foundation Model Guidance for Lightweight, Robust Scientific Time Series ForecastingCode
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Forks
KDD
2026
Foundation
Multivariat
UrbanFMUrbanFM: Scaling Urban Spatio-Temporal Foundation ModelsNoneKDD
2026
TrafficCHITaxi
WSHTaxi
CHIBike
PeMS
CSSGCSSG: A Continuous Spatio-temporal Graph Learning Framework with Scalable Spatial GranularityCode
Stars
Forks
KDD
2026
TrafficPEMSMoSTMoST: A Foundation Model for Multi-modality Spatio-temporal Traffic PredictionCodeKDD
2026
MultivariatFaSTFaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-ExpertsCode
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Forks
KDD
2026
TrafficPEMSIncident-Guided Spatiotemporal Traffic ForecastingCode
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Forks
KDD
2026
MultivariatTimesNetTimeDistillTimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture DistillationCode
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KDD
2026
MultivariatTimesNetLoFT-LLMLoFT-LLM: Low-Frequency Time-series Forecasting with Large Language ModelsCode
Stars
Forks
KDD
2026
MultivariatTimesNetNeural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical ImprovementsNoneKDD
2026
MultivariatTimesNetHow to Train Your Mamba for Time Series ForecastingNoneKDD
2026
TrafficPEMSTowards Resilient Transportation: A Conditional Transformer for Accident-Informed Traffic ForecastingCode
Stars
Forks
KDD
2026
MultivariatTimesNetFrom Tokenizer Bias to Backbone Capability: A Controlled Study of LLMs for Time Series ForecastingCode
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Forks
KDD
2026
TrafficPEMSChannelMTSChannelMTS: A Multi-modal Time-Series Framework for High-Speed Railway Channel PredictionNoneKDD
2026
Foundation
Multivariat
Toward Green Computing: General Carbon Intensity Forecasting via Dual Graph Empowered Time Series Foundation ModelNoneWWW
2026
MultivariatTimesNetCross-city Time Series Forecasting with Retrieval-Augmented Large Language ModelsNoneWWW
2026
MultivariatTimesNetAutomated Model Selection for Multivariate Time Series ForecastingNoneWWW
2026
MultivariatTimesNetGFMixerGFMixer: Decoupled Temporal Gradient and Fourier-Aware Attention for Time Series ForecastingCode
Stars
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WWW
2026
MultivariatTimesNetCRAFTEfficient High-Dimensional Time Series Forecasting with Transformers: A Channel Reordering PerspectiveNoneWWW
2026
MultivariatTimesNetDynaMEDynamic Multi-period Experts for Online Time Series ForecastingCode
Stars
Forks
WWW
2026
MultivariatTimesNetRe-DiffusionRe-Diffusion: Modeling Latent Residuals with Diffusion for Time-Series ForecastingNoneWWW
2026
FL
Multivariat
TimesNetFedRMambaFedRMamba: Federated Residual Mamba for Multivariate Time-Series ForecastingNoneWWW
2026
MultivariatDelay-Aware Graph Neural Stochastic Differential Equations for Financial Time Series Modeling and ForecastingNoneWWW
2026
MultivariatEnergy-Efficient Training-Free Zero-Inflation Correction for Rainfall Forecasting with Time-Series Foundation ModelsCode
Stars
Forks
WWW
2026
MultivariatTimesNetModeling Point-to-Point Dependency for High-Dimensional Long-Term Series ForecastingCode
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Forks
WWW
2026
MultivariatTimesNetLifting Manifolds to Mitigate Pseudo-Alignment in LLM4TSCode
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Forks
WWW
2026
Foundation
Multivariat
TimesNetQuiZSFQuiZSF: A Retrieval-Augmented Framework for Zero-Shot Time Series ForecastingNoneWWW
2026
MultivariatTimesNetSEMixerSEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series ForecastingCode
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Forks
WWW
2026
MultivariatTime-TKTime-TK: A Multi-Offset Temporal Interaction Framework Combining Transformer and Kolmogorov-Arnold Networks for Time Series ForecastingCode
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WWW
2026
MultivariatTimesNetEnhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context LearningNoneWWW
2026
MultivariatTimesNetEEO-TFVEEO-TFV: Escape-Explore Optimizer for Web-Scale Time-Series Forecasting and Vision AnalysisNoneWWW
2026
MultivariatTimesNetBack to the Future: Look-ahead Augmentation and Parallel Self-Refinement for Time Series ForecastingCode
Stars
Forks
WWW
2026
TrafficNYC
PeMS
PLM-CUPExploiting Pre-trained Language Model for Cross-city Urban Flow Prediction Guided by Information-theoretic AnalysisCode
Stars
Forks
AAAI
2026
TrafficPEMS03
PEMS04
PEMS07
PEMS08
MetaDGMeta Dynamic Graph for Traffic Flow PredictionCode
Stars
Forks
AAAI
2026
FL
Traffic
HZMetro
SHMetro
NYC-Bike
NYC-Taxi
FedSTGDUnlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-temporal Graph Learning Method for Traffic Flow ForecastingNoneAAAI
2026
FL
Traffic
PEMS03
PEMS04
PEMS07
PEMS08
FedHINTInter-Client Dependency Recovery with Hidden Global Components for Federated Traffic PredictionCode
Stars
Forks
AAAI
2026
TrafficPEMS03
PEMS04
PEMS07
PEMS08
HyperDHyperD: Hybrid Periodicity Decoupling Framework for Traffic ForecastingCode
Stars
Forks
AAAI
2026
TrafficPEMS07
PEMS08
PEMS-BAY
METR-LA
Melbourne
GenCastGeneralising Traffic Forecasting to Regions Without Traffic ObservationsCode
Stars
Forks
AAAI
2026
Traffic
Kriging
PEMS03
PEMS04
PEMS-BAY
AIR36
USHCN
DarkFarseerDarkFarseer: Robust Spatio-Temporal Kriging Under Graph Sparsity and NoiseCode
Stars
Forks
AAAI
2026
ST
Estimation
JNTaxi
JHSales
BJAir
METR-LA
PEMS08
WaveDiSTWaveDiST: A Wavelet Diffusion Transformer for Spatio-Temporal Estimation on Unobserved LocationsCode
Stars
Forks
AAAI
2026
FL
Traffic
METR-LA
PEMS04
PEMS07
PEMS08
PEMS-BAY
SC-FSGLCausality-inspired Federated Learning for Dynamic Spatio-Temporal GraphsNoneAAAI
2026
MultivariatTimesNetReCastReCast: Reliability-aware Codebook-assisted Lightweight Time Series ForecastingNoneAAAI
2026
MultivariatTimesNetTimeCAPTimeCAP: A Channel-Aware Pre-Training Framework for Multivariate Time Series ForecastingCode
Stars
Forks
AAAI
2026
MultivariatTimesNetCometNetCometNet: Contextual Motif-guided Long-term Time Series ForecastingNoneAAAI
2026
MultivariatETT
Weather
ECL
Traffic
PEMS
IdealTSFIdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models?Code
Stars
Forks
AAAI
2026
Irregular
Multivariat
APNRevitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series ForecastingCode
Stars
Forks
AAAI
2026
MultivariatTimesNetGoal-Oriented Time-Series Forecasting: Foundation Framework DesignCode
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Forks
AAAI
2026
MultivariatTimesNetMDMLP-EIAMDMLP-EIA: Multi-domain Dynamic MLPs with Energy Invariant Attention for Time Series ForecastingCode
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Forks
AAAI
2026
MultivariatTimesNetSonnetSonnet: Spectral Operator Neural Network for Multivariable Time Series ForecastingCode
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Forks
AAAI
2026
FL
Multivariat
FedSkeletonFedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series ForecastingCode
Stars
Forks
AAAI
2026
MultivariatTimesNetT3TimeT3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual FusionCode
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Forks
AAAI
2026
MultivariatTimesNetFreDNFreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency DecompositionCode
Stars
Forks
AAAI
2026
MultivariatTimesNetOccamVTSOccamVTS: Distilling Vision Models to 1% Parameters for Time Series ForecastingCode
Stars
Forks
AAAI
2026
MultivariatETT
ECL
Traffic
Weather
DTAFTowards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency DifferencingCode
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Forks
AAAI
2026
MultivariatTimesNetTimeMosaicTimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise DecodingCode
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Forks
AAAI
2026
MultivariatTimesNetXLinearXLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous InputsCode
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Forks
AAAI
2026
Attack
Multivariat
TimesNetTDBABeyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series ForecastingCode
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Forks
AAAI
2026
MultivariatTimesNetDeepBooTSDeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series ForecastingCode
Stars
Forks
AAAI
2026
MultivariatTimesNetEMAformerEMAformer: Enhancing Transformer Through Embedding Armor for Time Series ForecastingCode
Stars
Forks
AAAI
2026
FL
Multivariat
Optimal Look-back Horizon for Time Series Forecasting in Federated LearningNoneAAAI
2026
MultivariatTimesNetM2FMoEM2FMoE: Multi-Resolution Multi-View Frequency Mixture-of-Experts for Extreme-Adaptive Time Series ForecastingCode
Stars
Forks
AAAI
2026
Irregular
Multivariat
Rethinking Irregular Time Series Forecasting: A Simple Yet Effective BaselineCode
Stars
Forks
AAAI
2026
MultivariatTimesNetHN-MVTSHN-MVTS: HyperNetwork-based Multivariate Time Series ForecastingCode
Stars
Forks
AAAI
2026
MultivariatTimesNetAPTAPT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution ShiftCode
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Forks
AAAI
2026
MultivariatTimesNetFreqCycleFreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series ForecastingCode
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AAAI
2026
Foundation
Multivariat
TimesNetORTCLORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal RotationNoneAAAI
2026
MultivariatTimesNetGraFTGraFT: Infusing Pre-trained Transformers with Relational Structure for Time Series ForecastingNoneAAAI
2026
MultivariatTimesNetSTransSTrans: Spontaneous Architecture Evolution for Adaptive Time Series ForecastingNoneAAAI
2026
MultivariatTimesNetFeTSFeTS: A Feature-Aware Framework for Time Series ForecastingCode
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Forks
AAAI
2026
MultivariatTimesNetSparse-Scale Transformer with Bidirectional Awareness for Time Series ForecastingCode
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Forks
AAAI
2026
MultivariatTimesNetM3TimeM3Time: LLM-Enhanced Multi-Modal, Multi-Scale, and Multi-Frequency Multivariate Time Series ForecastingNoneAAAI
2026
MultivariatTimesNetTimePMGTimePMG: LLM-Based Time Series Forecasting with Period-Aware Multi-Scale Decomposition and Group-Wise AlignmentNoneAAAI
2026
MultivariatTimesNetProCASTProCAST: A Projection Framework for Coupled Aggregation Constrained Multivariate Time Series ForecastingCode
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Forks
AAAI
2026
MultivariatTimesNetUnifying Channel Independence and Mixing: Multi-Scale Patch Recursion for Global-local Representation Synergy in Multivariate Time Series ForecastingCode
Stars
Forks
AAAI
2026
MultivariatETT
Electricity
Traffic
CA
Harmonic Dataset Distillation for Time Series ForecastingNoneAAAI
2026
MultivariatTimesNetSEMPOSEMPO: Lightweight Foundation Models for Time Series ForecastingCode
Stars
Forks
NIPS
2025
MultivariatTimesNetTARFVAETARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAECode
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Forks
NIPS
2025
MultivariatTimesNetMAFSMany Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent CooperationCode
Stars
Forks
NIPS
2025
MultivariatTimesNetTimeXLTimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-LoopNoneNIPS
2025
MultivariatTimesNetDMMVMulti-Modal View Enhanced Large Vision Models for Long-Term Time Series ForecastingCode
Stars
Forks
NIPS
2025
MultivariatTimesNetxLSTM-MixerxLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar MemoriesCode
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Forks
NIPS
2025
MultivariatTimesNetTFPSLearning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution ShiftCode
Stars
Forks
NIPS
2025
MultivariatTimesNetSymTimeSynthetic Series-Symbol Data Generation for Time Series Foundation ModelsCode
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Forks
NIPS
2025
MultivariatTimesNetOLinearOLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed DomainCode
Stars
Forks
NIPS
2025
MultivariatTimesNetTimeEmbTimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series ForecastingCode
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NIPS
2025
MultivariatTimesNetTime-o1Time-o1: Time-Series Forecasting Needs Transformed Label AlignmentCode
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NIPS
2025
MultivariatTimesNetTimePerceiverTimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series ForecastingCode
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NIPS
2025
MultivariatTimesNetMSFTMulti-Scale Finetuning for Encoder-based Time Series Foundation ModelsCode
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NIPS
2025
MultivariatTimesNetDBLossDBLoss: Decomposition-based Loss Function for Time Series ForecastingCode
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NIPS
2025
MultivariatTimesNetSRSNetEnhancing Time Series Forecasting through Selective Representation Spaces: A Patch PerspectiveCode
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NIPS
2025
MultivariatTimesNetIFTowards Accurate Time Series Forecasting via Implicit DecodingCode
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NIPS
2025
Multivariat Zero ShotTimesNetTS-RAGTS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot ForecasterCode
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NIPS
2025
Multivariat TrafficTimesNet PEMS03
PEMS04
PEMS07
PEMS08
PIRImproving Time Series Forecasting via Instance-aware Post-hoc RevisionCode
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NIPS
2025
Multivariat TrafficWind
Temp
PM25
STELLAOn the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series ForecastingCode
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NIPS
2025
MultivariatTimesNetAliOAliO: Output Alignment Matters in Long-Term Time Series ForecastingCode
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Forks
NIPS
2025
MultivariatTimesNetTOTOThis Time is Different: An Observability Perspective on Time Series Foundation ModelsCodeNIPS
2025
MultivariatTimesNetMoFoMoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern ModelingCode
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Forks
NIPS
2025
MultivariatTimesNetLess is More: Unlocking Specialization of Time Series Foundation Models via Structured PruningCode
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NIPS
2025
MultivariatTimesNetPIHEnhancing the Maximum Effective Window for Long-Term Time Series ForecastingCode
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Forks
NIPS
2025
MultivariatTimesNetSCAMNot All Data are Good Labels: On the Self-supervised Labeling for Time Series ForecastingCode
Stars
Forks
NIPS
2025
ST SSLPEMS03
PEMS04
PEMS07
PEMS07(M)
METR-LA
PEMS-BAY
ST-SSDLHow Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation LearningCode
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Forks
NIPS
2025
MultivariatTimesNetDecompNetDecompNet: Enhancing Time Series Forecasting Models with Implicit DecompositionCode
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NIPS
2025
MultivariatTimesNet
other
S2TS-LLMBridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and SegmentationCode
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Forks
NIPS
2025
MultivariatTimesNetMSFTMulti-Scale Finetuning for Encoder-based Time Series Foundation ModelsCode
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Forks
NIPS
2025
MultivariatTimesNetAMRCAbstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation ConsistencyCode
Stars
Forks
NIPS
2025
MultivariatTimesNetSLSelective Learning for Deep Time Series ForecastingCode
Stars
Forks
NIPS
2025
MultivariatTimesNetLightGTSLightGTS: A Lightweight General Time Series Forecasting ModelCode
Stars
Forks
ICML
2025
MultivariatTimesNetLETSLETS Forecast: Learning Embedology for Time Series ForecastingCode
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Forks
ICML
2025
MultivariatTimesNetTimeBaseTimeBase: The Power of Minimalism in Efficient Long-term Time Series ForecastingCode
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Forks
ICML
2025
MultivariatTimesNetRAFTRetrieval Augmented Time Series ForecastingCode
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Forks
ICML
2025
MultivariatTimesNetCNChannel Normalization for Time Series Channel IdentificationCode
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ICML
2025
MultivariatTimesNetTimeBridgeTimeBridge: Non-Stationarity Matters for Long-term Time Series ForecastingCode
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Forks
ICML
2025
MultivariatTimesNetTimeStackerTimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series ForecastingNoneICML
2025
MultivariatTimesNetWaveTokenEnhancing Foundation Models for Time Series Forecasting via Wavelet-based TokenizationCodeICML
2025
MultivariatTimesNetMoirai-MoEMoirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of ExpertsCode
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Forks
ICML
2025
MultivariatTimesNetIn-Context Fine-Tuning for Time-Series Foundation ModelsNoneICML
2025
MultivariatTimesNetSKOLRSKOLR: Structured Koopman Operator Linear RNN for Time-Series ForecastingCode
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Forks
ICML
2025
MultivariatECL
Nottingham
FSTLLMFSTLLM: Spatio-Temporal LLM for Few Shot Time Series ForecastingCode
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Forks
ICML
2025
TrafficNYC
CHI
SIP
SD
SynEVOSynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptationCode
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Forks
ICML
2025
Traffic
ST
ETT
ECL
RSTIBInformation Bottleneck-guided MLPs for Robust Spatial-temporal ForecastingCode
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Forks
ICML
2025
MultivariatETT
Weather
ECL
Exchange
PatchLossPatch-wise Structural Loss for Time Series ForecastingCode
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Forks
ICML
2025
Foundation
Multivariat
Monash
UEA
UCR
ROSETowards a General Time Series Forecasting Model with Unified Representation and Adaptive TransferNoneICML
2025
MultivariatETT
ECL
Exchange
MoFSlimming the Fat-Tail: MoF for Adaptive Time Series ModelingNoneICML
2025
MultivariatTimesNetCMoSCMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial CorrelationsCode
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Forks
ICML
2025
AnalysisSynthetic
ECG5000
Exploring Representations and Interventions in Time Series Foundation ModelsCode
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Forks
ICML
2025
MultivariatTimesNetCFPTCFPT: Empowering Time Series Forecasting through Cross-Frequency Interaction and Periodic-Aware Timestamp ModelingCode
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ICML
2025
MultivariatTimesNetTimeProTimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-stateCode
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Forks
ICML
2025
TrafficETT
Traffic
ECL
Weather
Solar
PEMS
TimeFilterTimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series ForecastingCode
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Forks
ICML
2025
MultivariatTimesNetTime-VLMTime-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series ForecastingCode
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Forks
ICML
2025
MultivariatTimesNetLangTimeLangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy OptimizationCode
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ICML
2025
Irregular
Multivariat
MuJoCo
MIMIC
USHCN
ShiftingTimeShifting time: Time-series forecasting with Khatri-Rao neural operatorsCode
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Forks
ICML
2025
Foundation
Multivariat
TimesNetLightweight Online Adaption for Time Series Foundation Model ForecastsNoneICML
2025
MultivariatTimesNetCNDiffConditional Diffusion Model with Nonlinear Data Transformation for Time Series ForecastingCode
Stars
Forks
ICML
2025
AnalysisECL
ETT
A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They StruggleCode
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Forks
ICML
2025
MultivariatTimesNetTQNetTemporal Query Network for Efficient Multivariate Time Series ForecastingCode
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Forks
ICML
2025
MultivariatTimesNetWAVEWAVE: Weighted Autoregressive Varing Gate for Time Series ForecastingCode
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Forks
ICML
2025
Foundation
Multivariat
SundialSundial: A Family of Highly Capable Time Series Foundation ModelsCode
Stars
Forks
ICML
2025
Foundation
Zero Shot
GIFT-EVALVisionTSVisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series ForecastersCode
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Forks
ICML
2025
MultivariatTimesNetTimeFuseBreaking Silos: Adaptive Model Fusion Unlocks Better Time Series ForecastingCode
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ICML
2025
Irregular
Multivariat
PhysioNet
MIMIC-III
HAR
USHCN
Hi-PatchHi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time SeriesCode
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Forks
ICML
2025
Irregular
Multivariat
MIMIC-III
MIMIC-IV
PhysioNet
HAR
USHCN
HyperIMTSHyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series ForecastingCode
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Forks
ICML
2025
Irregular
Multivariat
VIMTSIMTS is Worth Time × Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series PredictionCode
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Forks
ICML
2025
Evolve TrafficAir-Str
PEMS-Str
Energy-Str
EACExpand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph ForecastingCode
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Forks
ICLR
2025
MultivariatTimesNetTimeMixer++TimeMixer++: A General Time Series Pattern Machine for Universal Predictive AnalysisCode
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Forks
ICLR
2025
MultivariatTimesNetTime-MoETime-MoE: Billion-Scale Time Series Foundation Models with Mixture of ExpertsCode
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Forks
ICLR
2025
MultivariatTimesNetTVNetTVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-VariationCode
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Forks
ICLR
2025
MultivariatTimesNetTimeKANTimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series ForecastingCode
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Forks
ICLR
2025
MultivariatTimesNetICTSPIn-context Time Series PredictorCode
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Forks
ICLR
2025
MultivariatTimesNetFSCAContext-Alignment: Activating and Enhancing LLMs Capabilities in Time Series](https://openreview.net/forum?id=syC2764fPc)Code
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ICLR
2025
MultivariatTimesNetSimpleTMSimpleTM: A Simple Baseline for Multivariate Time Series Forecasting](https://openreview.net/forum?id=oANkBaVci5)Code
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ICLR
2025
MultivariatTimesNetTowards Neural Scaling Laws for Time Series Foundation Models](https://openreview.net/forum?id=uCqxDfLYrB)Code
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Forks
ICLR
2025
MultivariatTimesNetTimer-XLTimer-XL: Long-Context Transformers for Unified Time Series ForecastingCode
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Forks
ICLR
2025
MultivariatTimesNetLCESNLocally Connected Echo State Networks for Time Series ForecastingCode
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Forks
ICLR
2025
TrafficPEMS03
PEMS04
PEMS07
PEMS08
METR-LA
PEMS-BAY
...
AutoSTFAutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal ForecastingCode
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Forks
KDD
2025
TrafficLargeSTPatchSTGEfficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management PerspectiveCode
Stars
Forks
KDD
2025
TrafficCHITaxi
CHIBike
WSHBike
NYBike
ProSTProST: Prompt Future Snapshot on Dynamic Graphs for Spatio-Temporal PredictionNoneKDD
2025
Traffic
unseen
NYCTaxi
NYCBike
BJTaxi
STEVESeeing the Unseen: Learning Basis Confounder Representations for Robust Traffic PredictionCode
Stars
Forks
KDD
2025
MultivariatTimesNetDUETDUET: Dual Clustering Enhanced Multivariate Time Series ForecastingCode
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Forks
KDD
2025
MultivariatTimesNetTSFM-BenchTSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series ForecastingCode
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Forks
KDD
2025
MultivariatTimesNetQuantumTimeQuantum Time-index Models with Reservoir for Time Series ForecastingCode
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Forks
KDD
2025
MultivariatTimesNetST-MTMST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series ForecastingCode
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Forks
KDD
2025
MultivariatTimesNetCMACMA: A Unified Contextual Meta-Adaptation Methodology for Time-Series Denoising and PredictionCode
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Forks
KDD
2025
MultivariatTimesNetCrossLinearCrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous VariablesCode
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Forks
KDD
2025
MultivariatTimesNetBLASTBLAST: Balanced Sampling Time Series Corpus for Universal Forecasting ModelsCode
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Forks
KDD
2025
MultivariatTimesNetTimeCapsuleTimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive RepresentationsCode
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Forks
KDD
2025
MultivariatTimesNetMoASemantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series ForecastingCode
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Forks
KDD
2025
MultivariatTimesNetSDESDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series ForecastingCode
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Forks
KDD
2025
TrafficBIKE
PEMS03
BJ500
METR-LA
STH-SepNetDecoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive HypergraphsCode
Stars
Forks
KDD
2025
Evolve TrafficElectricity
PeMS
Weather
STEVBeyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal LearningCode
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Forks
KDD
2025
TrafficPEMS04
PEMS08
METR-LA
STDNSpatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow ForecastingCode
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Forks
AAAI
2025
Metro TrafficPEMS
Urban Rail
ReDyNetResponsive Dynamic Graph Disentanglement for Metro Flow ForecastingCode
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Forks
AAAI
2025
TrafficPEMS03
PEMS04
PEMS07
PEMS08
STSGNNDesigning Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph ModelingCode
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Forks
AAAI
2025
Foundation
Traffic
PEMS03
PEMS04
METR-LA
STD-PLMSTD-PLM: Understanding Both Spatial and Temporal Properties of SpatialTemporal Data with PLMCode
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Forks
AAAI
2025
Inductive
Traffic
PEMS03
PEMS04
METR-LA
ST-FiTST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training DataCode
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Forks
AAAI
2025
Traffic
Distillation
PEMS03
PEMS04
PEMS07
PEMS08
METR-LA
LightSTEfficient Traffic Prediction through Spatio-Temporal DistillationCode
Stars
Forks
AAAI
2025
FL
Traffic
PEMS03
PEMS04
PEMS07
PEMS08
FUELSPersonalized Federated Learning for SpatioTemporal Forecasting: A Dual Semantic Alignment-Based Contrastive ApproachNoneAAAI
2025
ST SSL
Traffic
PEMS03
PEMS04
PEMS07
PEMS08
SSL-STMFormerSSL-STMFormer: Self-Supervised Learning SpatioTemporal Entanglement Transformer for Traffic Flow PredictionCode
Stars
Forks
AAAI
2025
Fairness
Traffic
PEMS04
PEMS08
METR-LA
FairTPFairTP: A Prolonged Fairness Framework for Traffic PredictionCode
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Forks
AAAI
2025
SSL
Pretrain
Traffic
PEMS03
PEMS04
PEMS07
PEMS08
ST-RePST-ReP: Learning Predictive Representations Efficiently for SpatialTemporal ForecastingCode
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Forks
AAAI
2025
Long-term
Traffic
PEMS03
PEMS04
PEMS07
PEMS08
METR-LA
DST-MambaDecomposed Spatio-Temporal Mamba for Long-Term Traffic PredictionCode
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Forks
AAAI
2025
CrossCity
Traffic
PEMS03
PEMS04
PEMS08
TSJTDrawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal ForecastingNoneAAAI
2025
MultivariatETT
Weather
ECL
Traffic
Exchange
ILI
Solar
HCANHierarchical Classification Auxiliary Network for Time Series ForecastingCode
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Forks
AAAI
2025
MultivariatTimesNetTimeCMATimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality AlignmentCode
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Forks
AAAI
2025
MultivariatETT
Weather
Solar
ECL
Traffic
AMDAdaptive Multi-Scale Decomposition Framework for Time Series ForecastingCode
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Forks
AAAI
2025
MultivariatTimesNetTimes2DTimes2D: Multi-Period Decomposition and Derivative Mapping for General Time Series ForecastingCode
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Forks
AAAI
2025
MultivariatTimesNetVarDropVarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series ForecastingCode
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Forks
AAAI
2025
MultivariatTimesNetPatchMLPUnlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series ForecastingCode
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Forks
AAAI
2025
MultivariatTimesNetAmplifierAmplifier: Bringing Attention to Neglected Low-Energy Components in Time Series ForecastingCode
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Forks
AAAI
2025
MultivariatTimesNetP-sLSTMUnlocking the Power of LSTM for Long Term Time Series ForecastingCode
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Forks
AAAI
2025
MultivariatTimesNetApollo-ForecastApollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series ForecastingCode
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Forks
AAAI
2025
MultivariatTimesNetTAFASBattling the Non-stationarity in Time Series Forecasting via Test-time AdaptationCode
Stars
Forks
AAAI
2025
MultivariatETT
Weather
ECL
Traffic
Solar
Stock
Exchange
ARMDAuto-Regressive Moving Diffusion Models for Time Series ForecastingCode
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Forks
AAAI
2025
MultivariatTimesNetxPatchxPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend DecompositionCode
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Forks
AAAI
2025
MultivariatETT
ECL
Exchange
Traffic
Weather
AffirmAffirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series ForecastingCode
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Forks
AAAI
2025
MultivariatETT
Weather
ECL
LSINetA Lightweight Sparse Interaction Network for Time Series ForecastingCode
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Forks
AAAI
2025
MultivariatSolar
ECL
Traffic
Taxi
Wikipedia
HDTHDT: Hierarchical Discrete Transformer for Multivariate Time Series ForecastingCode
Stars
Forks
AAAI
2025
MultivariatTimesNetHyperMixerHyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series ForecastingNoneAAAI
2025
MultivariatTimesNetFilterTSFilterTS: Comprehensive Frequency Filtering for Multivariate Time Series ForecastingCode
Stars
Forks
AAAI
2025
MultivariatTimesNetWaveletMixerWaveletMixer: A Multi-resolution Wavelets Based MLP-Mixer For Multivariate Long-term Time Series ForecastingNoneAAAI
2025
MultivariatETT
Weather
ECL
TimePFNTimePFN: Effective Multivariate Time Series Forecasting with Synthetic DataCode
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Forks
AAAI
2025
MultivariatETT
ECL
Exchange
ILI
Solar
Traffic
Weather
WPMixerWPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series ForecastingCode
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Forks
AAAI
2025
MultivariatTimesNetFSattenRevisiting Attention for Multivariate Time Series ForecastingCode
Stars
Forks
AAAI
2025
MultivariatTimesNetSeqComplementorSequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable SequencesNoneAAAI
2025
MultivariatTimesNetCALFCALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-TuningCode
Stars
Forks
AAAI
2025
MultivariatETT
Weather
ECL
Solar
CSformerCSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series ForecastingNoneAAAI
2025
MultivariatECL
Exchange
ETTh2
ETTm1
LSTDDisentangling Long-Short Term State Under Unknown Interventions for Online Time Series ForecastingCode
Stars
Forks
AAAI
2025
AnalysisM3
M4
Tourism
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model ShineCode
Stars
Forks
AAAI
2025
SSL ReprSleepEEG
UCR
FMIFrequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation LearningCode
Stars
Forks
AAAI
2025
SSL
Pretrain
ETT
Exchange
PEMS
DropPatchEnhancing Masked Time-Series Modeling via Dropping PatchesNoneAAAI
2025
MultivariatTimesNetSoPNon-collective Calibrating Strategy for Time Series ForecastingCode
Stars
Forks
IJCAI
2025
MultivariatTimesNetVisMoESeeing Sequences like Humans: Pattern Classification Driven Time-Series Forecasting via Vision Language ModelsCode
Stars
Forks
CIKM
2025
MultivariatTimesNetBIM3Bidirectional Temporal-Aware Modeling with Multi-Scale Mixture-of-Experts for Multivariate Time Series ForecastingCode
Stars
Forks
CIKM
2025
MultivariatTimesNetBALM-TSBALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series ForecastingCode
Stars
Forks
CIKM
2025
MultivariatTimesNetAdaPatchAdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series ForecastingCode
Stars
Forks
CIKM
2025
MultivariatTimesNetWDformerWDformer: A Wavelet-based Differential Transformer Model for Time Series ForecastingCode
Stars
Forks
CIKM
2025
MultivariatTimesNetHRCformerHRCformer: Hierarchical Recursive Convolution-Transformer with Multi-Scale Adaptive Recalibration for Time Series ForecastingNoneCIKM
2025
MultivariatMETR-LA
PEMS-BAY
China-AQI
Electricity
Solar
Temperature
ST-HyperST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series ForecastingNoneCIKM
2025
MultivariatTimesNetEAPformerBidirectional Temporal-Aware Modeling with Multi-Scale Mixture-of-Experts for Multivariate Time Series ForecastingCode
Stars
Forks
CIKM
2025
MultivariatTimesNetMillGNNMillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series ForecastingNoneCIKM
2025
MultivariatTimesNetMSOFormerMSOFormer: Multi-scale Transformer with Orthogonal Embedding and Frequency Modeling for Multivariate Time Series ForecastingNoneCIKM
2025
Zero ShotParking
TimesNet
DANetDANet: A RAG-inspired Dual Attention Model for Few-shot Time Series PredictionNoneCIKM
2025
MultivariatTimesNetStructural Entropy-based Multivariate Time Series ForecastingNoneCIKM
2025
TrafficPEMS03
PEMS04
PEMS07
PEMS08
METR-LA
PEMS-BAY
TopKNetTopKNet:Learning to Perceive the Top-K Pivotal Nodes in Spatio-Temporal Data for Traffic ForecastingCode
Stars
Forks
CIKM
2025
TrafficNYCTaxi
CityBike
METR-LA
PEMS-BAY
ST-LINKST-LINK: Spatially-Aware Large Language Models for Spatio-Temporal ForecastingCode
Stars
Forks
CIKM
2025
Traffic
Random Missing
PEMS04
PEMS08
STMMoESpatio-Temporal Forecasting under Open-World Missingness with Adaptive Mixture-of-ExpertsCode
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Forks
CIKM
2025
Traffic
Node Missing
PEMS03
PEMS04
PEMS07
PEMS08
METR-LA
PEMS-BAY
...
STA-GANNSTA-GANN: A Valid and Generalizable Spatio-Temporal Kriging ApproachCode
Stars
Forks
CIKM
2025
FinanceCrypto
Forex
Future
Stock
Econ
Others
FinCastFinCast: A Foundation Model for Financial Time-Series ForecastingCode
Stars
Forks
CIKM
2025
Wind PowerChina
Texas
Multivariate Wind Power Time Series Forecasting with Noise-Filtering Neural ODEsNoneCIKM
2025
TrafficPEMS04
PEMS07
PEMS08
CHIBike
DSformerExtracting Global Temporal Patterns Within Short Look-Back Windows for Traffic ForecastingCode
Stars
Forks
CIKM
2025
TrafficPEMS03
PEMS04
PEMS07
PEMS08
DoPDecoder-only Pre-training Enhancement for Spatio-temporal Traffic ForecastingCode
Stars
Forks
CIKM
2025
TrafficPEMS07(M)
PEMS07
PEMS08
NYCTaxi
NYCBike
SSMOEMixture of Semantic and Spatial Experts for Explainable Traffic PredictionNoneCIKM
2025
TrafficPEMS04
PEMS07
PEMS08
MultiGranForecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference RegimesNoneCIKM
2025
TrafficI-80
US-101
Complex-
highway
TPNBalance and Brighten: A Twin-Propeller Network to Release Potential of Physics Laws for Traffic State EstimationCode
Stars
Forks
CIKM
2025
TrafficPEMS04
PEMS07
PEMS08
Jinan
FEDDGCNFEDDGCN: A Frequency-Enhanced Decoupling Dynamic Graph Convolutional Network for Traffic Flow PredictionNoneCIKM
2025
MultivariatTimesNetSSCNNParsimony or Capability? Decomposition Delivers Both in Long-term Time Series ForecastingCode
Stars
Forks
NIPS
2024
MultivariatTimesNetAre Language Models Actually Useful for Time Series Forecasting?Code
Stars
Forks
NIPS
2024
MultivariatTimesNetPGNPGN: The RNN's New Successor is Effective for Long-Range Time Series ForecastingCode
Stars
Forks
NIPS
2024
MultivariatTimesNetCATSAre Self-Attentions Effective for Time Series Forecasting?Code
Stars
Forks
NIPS
2024
MultivariatTimesNetAttraosAttractor Memory for Long-Term Time Series Forecasting: A Chaos PerspectiveCode
Stars
Forks
NIPS
2024
MultivariatTimesNetTime-FFMTime-FFM: Towards LM-Empowered Federated Foundation Model for Time Series ForecastingCode
Stars
Forks
NIPS
2024
MultivariatTimesNetChimeraChimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space ModelsCode
Stars
Forks
NIPS
2024
MultivariatTimesNetTimeXerTimeXer: Empowering Transformers for Time Series Forecasting with Exogenous VariablesCode
Stars
Forks
NIPS
2024
MultivariatTimesNetMiTSformerAddressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and AlignmentCode
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Forks
NIPS
2024
MultivariatTimesNetTTMsTiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time SeriesCode
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NIPS
2024
MultivariatTimesNetSumbaStructured Matrix Basis for Multivariate Time Series Forecasting with Interpretable DynamicsCode
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NIPS
2024
MultivariatTimesNetPeri-midFPeri-midFormer: Periodic Pyramid Transformer for Time Series AnalysisCode
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NIPS
2024
MultivariatTimesNetAda-MSHyperAda-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series ForecastingCode
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NIPS
2024
Multivariat...LPTMLarge Pre-trained time series models for cross-domain Time series analysis tasksCode
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NIPS
2024
MultivariatTimesNetCCMFrom Similarity to Superiority: Channel Clustering for Time Series ForecastingCode
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Forks
NIPS
2024
Add NewsElectricity
Exchange
Traffic
Bitcoin
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with ReflectionCode
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NIPS
2024
MultivariatImageBind
IMU2CLIP
IMUGPT
HARGPT
LLaVA
UniMTSUniMTS: Unified Pre-training for Motion Time SeriesCode
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Forks
NIPS
2024
AttackPEMS03
PEMS04
PEMS08
Weather
ETTm1
BackTimeBackTime: Backdoor Attacks on Multivariate Time Series ForecastingCode
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Forks
NIPS
2024
Less dataElectricity
Solar
Traffic
PEMS-BAY
METR-LA
ChronoEpilogiChronoEpilogi: Scalable Time Series Selection with Multiple SolutionsCode
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Forks
NIPS
2024
MultivariatTimesNetFANFrequency Adaptive Normalization For Non-stationary Time Series ForecastingCode
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Forks
NIPS
2024
MultivariatTimesNetGLAFFRethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion PerspectiveCode
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NIPS
2024
MultivariatTimesNetFilterNetFilterNet: Harnessing Frequency Filters for Time Series ForecastingCode
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NIPS
2024
MultivariatTimesNetCycleNetCycleNet: Enhancing Time Series Forecasting through Modeling Periodic PatternsCode
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NIPS
2024
MultivariatTimesNetRATDRetrieval-Augmented Diffusion Models for Time Series ForecastingCode
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NIPS
2024
MultivariatTimesNetDDNDDN: Dual-domain Dynamic Normalization for Non-stationary Time Series ForecastingCode
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NIPS
2024
MultivariatTimesNetFBMRethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series ForecastingCode
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NIPS
2024
MultivariatTimesNetBSAIntroducing Spectral Attention for Long-Range Dependency in Time Series ForecastingCode
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NIPS
2024
MultivariatTimesNetDeformableTSTDeformableTST: Transformer for Time Series Forecasting without Over-reliance on PatchingCode
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NIPS
2024
MultivariatTimesNetSOFTSSOFTS: Efficient Multivariate Time Series Forecasting with Series-Core FusionCode
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NIPS
2024
MultivariatTimesNetScaling Law for Time Series ForecastingCode
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NIPS
2024
MultivariatTimesNetAutoTimesAutoTimes: Autoregressive Time Series Forecasters via Large Language ModelsCode
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NIPS
2024
Multi TaskTimesNetUniTSUniTS: A Unified Multi-Task Time Series ModelCode
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Forks
NIPS
2024
Foundation TS...MOMENTMOMENT: A Family of Open Time-series Foundation ModelsCode
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ICML
2024
MultivariatTimesNetOSLAn Analysis of Linear Time Series Forecasting ModelsCode
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ICML
2024
SixTimesNetUP2MEUP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series AnalysisCode
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ICML
2024
MultivariatTimesNetSparseTSFSparseTSF: Modeling Long-term Time Series Forecasting with 1k ParametersCode
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ICML
2024
MultivariatElectricity
PEMSD7M
BikeNYC
TimesNet
SCNNDisentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series ForecastingCode
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TKDE
2024
MultivariatTimesNetiTransformeriTransformer: Inverted Transformers Are Effective for Time Series ForecastingCode
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Forks
ICLR
2024
MultivariatNorPool
Caiso
Traffic
Electricity
Weather
Exchange
ETT
Wind
mr-DiffMulti-Resolution Diffusion Models for Time Series ForecastingNoneICLR
2024
MultivariatETT
Electricity
Weather
Traffic
Exchange
ILI
ModernTCNModernTCN: A Modern Pure Convolution Structure for General Time Series AnalysisCode
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Forks
ICLR
2024
MultivariatTimesNetTime-LLMTime-LLM: Time Series Forecasting by Reprogramming Large Language ModelsCode
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ICLR
2024
MultivariatTimesNetTEMPOTEMPO: Prompt-based Generative Pre-trained Transformer for Time Series ForecastingCode
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Forks
ICLR
2024
MultivariatTimesNetCARDCARD: Channel Aligned Robust Blend Transformer for Time Series ForecastingCode
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Forks
ICLR
2024
MultivariatTimesNetARMARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual LearningNoneICLR
2024
MultivariatTimesNetDAMDAM: Towards a Foundation Model for ForecastingNoneICLR
2024
MultivariatTimesNet
PEMS3478
TimeMixerTimeMixer: Decomposable Multiscale Mixing for Time Series ForecastingCode
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Forks
ICLR
2024
MultivariatTimesNetPDFPeriodicity Decoupling Framework for Long-term Series ForecastingCode
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Forks
ICLR
2024
Multivariat
Missing Value
METR-LA
Electricity
PEMS
ETT
BeijingAir
BiTGraphBiased Temporal Convolution Graph Network for Time Series Forecasting with Missing ValuesCode
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Forks
ICLR
2024
MultivariatTimesNet
PEMS08
LIFTRethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading IndicatorsCode
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Forks
ICLR
2024
MultivariatETT
Weather
ILI
Traffic
STanHopSTanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series PredictionCode
Stars
Forks
ICLR
2024
MultivariatETT
Weather
Electricity
Traffic
ILI
CloudCluster
PathformerPathformer: Multi-scale Transformers with Adaptive Pathways for Time Series ForecastingCode
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Forks
ICLR
2024
MultivariatTimesNetpitsLearning to Embed Time Series Patches IndependentlyCode
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Forks
ICLR
2024
MultivariatETT
Weather
Electricity
Traffic
FITSFITS: Modeling Time Series with 10k ParametersCode
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Forks
ICLR
2024
MultivariatETT
Electricity
Weather
Lora
AutoTCLParametric Augmentation for Time Series Contrastive LearninCode
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Forks
ICLR
2024
MultivariatETT
Exchange
ILI
GLIPInterpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series PredictionCodeICLR
2024
MultivariatTimesNetFredformerFredformer: Frequency Debiased Transformer for Time Series ForecastingCode
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Forks
KDD
2024
MultivariatTimesNetGPHTGenerative Pretrained Hierarchical Transformer for Time Series ForecastingCode
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Forks
KDD
2024
MultivariatTimesNetFRNetFRNet: Frequency-based Rotation Network for Long-term Time Series ForecastingCode
Stars
Forks
KDD
2024
Missing
MTS
METR-LA
PEMS-BAY
PEMS04
PEMS08
China AQI
GinARGinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable MissingCode
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Forks
KDD
2024
MultivariatMETR-LA
PEMS-BAY
PEMS04
PEMS07
PEMS08
HimNetHeterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series ForecastingCode
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Forks
KDD
2024
MultivariatTimesNetCDSCalibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution ShiftCode
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Forks
KDD
2024
Foundation
Traffic
TaxiBJ
Crawd
BikeNYC
Cellular
TDrive
TrafficSH
UniSTUniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal PredictionCode
Stars
Forks
KDD
2024
Early
Traffic
METR-LA
EMS
NYPD
STEMOSTEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement LearningCode
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Forks
KDD
2024
New nodes
Traffic
Large-STSTONESTONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal ShiftsCode
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Forks
KDD
2024
Irregular
Traffic
Zhuzhou
Baoding
AseerIrregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional NetworksCode
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Forks
KDD
2024
MultivariatStock
Exchange
Weather
CONTIMEAddressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative RegularizationCode
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Forks
KDD
2024
MultivariatPEMS07
Large-ST
GWTPre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural NetworksCodeKDD
2024
Large ScaleLarge-STRPMixerRPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal DataCodeKDD
2024
Demand Supply
Prediction
Shanghai
Zhengzhou
MulSTEMulSTE: A Multi-view Spatio-temporal Learning Framework with Heterogeneous Event Fusion for Demand-supply PredictionCode
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Forks
KDD
2024
Multivariat108sAutoXPCRAutoXPCR: Automated Multi-Objective Model Selection for Time Series ForecastingTF
Stars
Forks
KDD
2024
MultivariatTimesNetUniTimeUniTime: A Language-Empowered Unified Model for Cross-Domain Time Series ForecastingCode
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Forks
WWW
2024
MultivariatRoss
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UpperPen
SFC
DANLearning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series ForecastingCode
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Forks
AAAI
2024
MultivariatILI
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ETT
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HDMixerHDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series ForecastingCode
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AAAI
2024
MultivariatPEMS03
PEMS04
PEMS07
PEMS08
England
TaxiBJ
PEMS-BAY
STPGNNSpatio-Temporal Pivotal Graph Neural Networks for Traffic Flow ForecastingNoneAAAI
2024
MultivariatFD001
FD002
FD003
FD004
FC-STGNNFully-Connected Spatial-Temporal Graph for Multivariate Time-Series DataCode
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Forks
AAAI
2024
MultivariatPEMS04
PEMS08
blockchain
TMP-NetsTime-Aware Knowledge Representations of Dynamic Objects with Multidimensional PersistenceNoneAAAI
2024
MultivariatMETR-LA
PEMS-BAY
ModWaveMLPModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic ForecastingTF
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Forks
AAAI
2024
MultivariatFlight
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ETT
Electricity
Exchange
MSGNetMSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series ForecastingCode
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Forks
AAAI
2024
MultivariatSelf-PeMSDLFTowards Dynamic Spatial-Temporal Graph Learning: A Decoupled PerspectiveCode
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Forks
AAAI
2024
MultivariatETT
Weather
ILI
Exchange
HTV-TransConsidering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for ForecastingCode
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AAAI
2024
MultivariatA-share
Cross-Market
ETT
ST-DANAdaptive Meta-Learning Probabilistic Inference Framework for Long Sequence PredictionCode
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Forks
AAAI
2024
SixTimesNetCTRLAn NCDE-based Framework for Universal Representation Learning of Time SeriesCode
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Forks
IJCAI
2024
TrafficPEMS3478STD-MAESpatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal ForecastingCode
Stars
Forks
IJCAI
2024
MultivariatTimesNetDERITSDeep Frequency Derivative Learning for Non-stationary Time Series ForecastingNoneIJCAI
2024
MultivariatTimesNetSkip-TimefSkip-Timeformer: Skip-Time Interaction Transformer for Long Sequence Time-Series ForecastingNoneIJCAI
2024
MultivariatTimesNetVCformerVCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series ForecastingCode
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Forks
IJCAI
2024
MultivariatTimesNetLeRetLeRet: Language-Empowered Retentive Network for Time Series ForecastingCode
Stars
Forks
IJCAI
2024
Missing VariateMETR-LA
Solar
Traffic
ECG5000
SDformerSDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term ForecastingNoneIJCAI
2024
TrafficMETR-LA
PEMS-BAY
PEMSD7M
DCSTMake Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed PredictionCode
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Forks
IJCAI
2024
TrafficMETR-LA
PEMS-BAY
ST-nFBSTFull Bayesian Significance Testing for Neural Networks in Traffic ForecastingCode
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Forks
IJCAI
2024
multisource
SSL
BikeIn
BikeOut
TaxiIn
TaxiOut
Air
MoSSLMulti-Modality Spatio-Temporal Forecasting via Self-Supervised LearningCode
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Forks
IJCAI
2024
Traffic
CrossCity
METR-LA
PEMS-BAY
DiDiCD
DiDiSZ
pFedCTPPersonalized Federated Learning for Cross-City Traffic PredictionCode
Stars
Forks
IJCAI
2024
MultivariatTimesNetSDformer[SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Ti

Truncated — view the full README on GitHub.

accident-detection
anomaly-detection
deep-learning
demand-forecasting
location
multivariate-timeseries
paper-list
probabilistic-models
spatio-temporal
spatio-temporal-data
spatio-temporal-modeling
spatio-temporal-prediction
time-series
time-series-forecasting
time-series-imputation
time-series-prediction
traffic-prediction
travel-time-prediction

Significant stargazers

Zhihong Chen

267 followers · starred Mar 2023

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85 followers · starred Aug 2022

Qingsong Wen

659 followers · starred Jun 2022

Alexander März

326 followers · starred Dec 2022