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Foundation Multivariat | TimesNet | Olivia | Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density | None | ICML 2026 |
Foundation Multivariat | TimesNet | Time-PEFT | Time-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation Models | None | ICML 2026 |
Foundation Multivariat | TimesNet | | Universal Redundancies in Time Series Foundation Models | None | ICML 2026 |
LLM Reasoning | TimesNet | VeriTime | Time Series Reasoning via Process-Verifiable Thinking Data Synthesis and Scheduling for Tailored LLM Reasoning | None | ICML 2026 |
LLM Medical | HAR-CoT Sleep-CoT ECG-QA MIMIC | OpenTSLM | OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data | Code
 | ICML 2026 |
LLM Benchmark | Health TS | HEARTS | HEARTS: Benchmarking LLM Reasoning on Health Time Series | Code
 | ICML 2026 |
| Position | TimesNet | | Position: Time-Series Foundation Models Require Explicit Domain-Level Benchmarks | None | ICML 2026 |
Foundation Benchmark | ZTF | StarEmbed | StarEmbed: Benchmarking Time Series Foundation Models on Astronomical Observations of Variable Stars | None | ICML 2026 |
| Physiological | MIMIC PhysioNet | | Self-Supervised Dynamical System Representations for Physiological Time-Series | None | ICML 2026 |
Dataset Condensat | TimesNet | | One Batch Is Enough: A Unified Dataset Condensation Framework for General Time Series Analysis | None | ICML 2026 |
Foundation Multivariat | TimesNet | Zeus | Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis | None | ICML 2026 |
Dataset Multimodal | TelecomTS | | TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis | None | ICML 2026 |
Multimodal Alignment | TimesNet | | Time Series, Vision, and Language: Exploring the Limits of Alignment in Contrastive Representation Spaces | None | ICML 2026 |
| Multivariat | TimesNet | L-Drive | L-Drive: Beyond a Single Mapping—Latent Context Drives Time Series Forecasting | None | ICML 2026 |
| Multivariat | TimesNet | ConFlux | ConFlux: Multivariate Time Series in Flux, One Unified Forecast in Confluence | None | ICML 2026 |
| Multivariat | TimesNet | PESD-TSF | PESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series Forecasting | None | ICML 2026 |
| Multivariat | TimesNet | | Parameter Decorrelation via Transition-Variance Alignment for Multivariate Time-series Forecasting | None | ICML 2026 |
| Benchmark | TimesNet | TIME | It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks | None | ICML 2026 |
Robust Multivariat | TimesNet | DropoutTS | DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting | Code
 | ICML 2026 |
| Multivariat | TimesNet | | Time-series forecasting through the lens of dynamics | None | ICML 2026 |
Weather Benchmark | WEATHER-5K | | Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting | Code
 | ICML 2026 |
Efficient Multivariat | TimesNet | BPE | Byte Pair Encoding for Efficient Time Series Forecasting | None | ICML 2026 |
Backdoor Defense | TimesNet | TimeGuard | TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting | None | ICML 2026 |
| Counterfac | TimesNet | | What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions | None | ICML 2026 |
| Distillation | TimesNet | | Beyond Point Predictions: Manifold Expansion and Dual Alignment for Robust Time Series Distillation | None | ICML 2026 |
Foundation Multivariat | TimesNet | | Channel Adapter for Time Series Foundation Models in Zero-Shot Multivariate Forecasting | None | ICML 2026 |
| Multivariat | TimesNet | | Beyond Extrapolation: Knowledge Utilization Paradigm with Bidirectional Inspiration for Time Series Forecasting | None | ICML 2026 |
Source-Free Multivariat | TimesNet | TimePD | Invariant Representation Learning for Source-Free Time Series Forecasting with LLM-Centric Proxy Denoising | None | ICML 2026 |
| Multivariat | TimesNet | FIPN | FIPN: Forward Self-Organizing Interpretable Polynomial Networks for Time Series Forecasting | None | ICML 2026 |
| Multivariat | TimesNet | DMANet | Anti-Aliasing Matters: A Dynamic Network for Time Series Forecasting | None | ICML 2026 |
Non-stationary Multivariat | TimesNet | DSENet | DSENet: A Novel Dual-Stream Enhancement Network for Multi-Scale Non-Stationary Time Series Forecasting | None | ICML 2026 |
| Multivariat | TimesNet | Crisp | Crisp: A Spectral-Based Interaction Strategy for Multivariate Time Series Forecasting | None | ICML 2026 |
| Analysis | TimesNet | | Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting | None | ICML 2026 |
| Multivariat | TimesNet | KITE | KITE: Knowledge-Guided Probabilistic Modeling for Time Series Forecasting with Exogenous Variables | None | ICML 2026 |
LLM Multivariat | TimesNet | TsLLM | TsLLM: Augmenting LLMs for General Time Series Understanding and Prediction | None | ICML 2026 |
| Multivariat | TimesNet | ReNF | ReNF: Rethinking the Principles of Neural Long-Term Time Series Forecasters | None | ICML 2026 |
| Multivariat | TimesNet | | Reviving Error Correction in Modern Deep Time-Series Forecasting | None | ICML 2026 |
| Multivariat | TimesNet | MemCast | MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning | Code
 | ICML 2026 |
Adversarial Multivariat | TimesNet | TSFAdv | TSFAdv: Frequency-Guided Black-Box Adversarial Attacks on Time Series Forecasting | None | ICML 2026 |
Non-stationary Multivariat | TimesNet | Dynamic TMoE | Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting | None | ICML 2026 |
| Multivariat | TimesNet | Fern | Ellipsoidal Time Series Forecasting | None | ICML 2026 |
Generative Multivariat | TimesNet | CoGenCast | CoGenCast: A Coupled Autoregressive–Flow Generative Framework for Time Series Forecasting | None | ICML 2026 |
| Multivariat | TimesNet | StretchTime | StretchTime: Adaptive Time Series Forecasting via Symplectic Attention | None | ICML 2026 |
Robust Multivariat | TimesNet | | Robust Inter-Series Dependency Modeling for Time Series Forecasting via Information-Theoretic Alignment | None | ICML 2026 |
| Analysis | TimesNet | CombiTS | CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models | Code
 | ICML 2026 |
Foundation Multivariat | TimesNet | | See More, Forecast Better and Faster: Enhancing Time Series Foundation Models via Inference-Time Plug-and-Play Downsampling | None | ICML 2026 |
Robust Multivariat | TimesNet | TameR | Taming the Recent-Data Bias: Towards Robust Time Series Forecasting with Global Context | None | ICML 2026 |
| Multivariat | TimesNet | KineFlow | KineFlow: Kinematic Second-Order Flow Matching for Time-Series Forecasting | None | ICML 2026 |
| Multivariat | TimesNet | LatentTSF | From Observations to States: Latent Time Series Forecasting | Code
 | ICML 2026 |
Foundation Multivariat | TimesNet | Baguan-TS | Baguan-TS: dual in-context learning model for time series forecasting with covariates | None | ICML 2026 |
| Position | TimesNet | | Position: Current Benchmarking Hinders Real Progress in Deep Learning for Time Series Forecasting | None | ICML 2026 |
LLM Multivariat | TimesNet | TimeMRA | TimeMRA: LLM-Empowered Time Series Forecasting via Multi-Scale Retrieval-Augmented Representations | None | ICML 2026 |
Multimodal Evaluation | TimesNet | | Rethinking Multimodal Time-Series Forecasting Evaluation | None | ICML 2026 |
Irregular Multivariat | TimesNet | TFMixer | Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting | None | ICML 2026 |
| Multivariat | TimesNet | DAG | DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables | Code
 | ICML 2026 |
Robust Multivariat | TimesNet | SEER | SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement | None | ICML 2026 |
| Multivariat | TimesNet | TimeSeed | TimeSeed: Effective Time Series Forecasting with Sparse Endogenous Variables | None | ICML 2026 |
| Multivariat | TimesNet | | Information Geometry Loss for Time Series Forecasting | None | ICML 2026 |
| Multivariat | TimesNet | KUMA | KUMA: A Novel Framework with Koopman Separation and Efficient Multilevel Extraction in Time Series Forecasting | None | ICML 2026 |
Scaling Multivariat | TimesNet | | Revealing Scaling Behavior in Large-scale Time Series Models: Implications for More Efficient and Accurate Forecasting | None | ICML 2026 |
Non-stationary Multivariat | TimesNet | PULSE | PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting | None | ICML 2026 |
Diffusion Multivariat | TimesNet | | Not All Frequencies Are Equal: Energy-Adaptive Diffusion for Time Series Forecasting | None | ICML 2026 |
Irregular Medical | MIMIC | MoRGEN | MoRGEN: Mixture-of-Resolutions Generative Forecasting for Irregularly Sampled Medical Time-Series Data | None | ICML 2026 |
| Multivariat | TimesNet | MixLinear | MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with Parameters | Code
 | ICLR 2026 |
| Multivariat | TimesNet | CoRA | CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter | Code
 | ICLR 2026 |
| Multivariat | TimesNet | PHAT | PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting | None | ICLR 2026 |
| Multivariat | TimesNet | Numerion | Numerion: A Multi-Hypercomplex Model for Time Series Forecasting | None | ICLR 2026 |
| Multivariat | TimesNet | COSA | COSA: Context-aware Output-Space Adapter for Test-Time Adaptation in Time Series Forecasting | Code
 | ICLR 2026 |
| Multivariat | TimesNet | CPiRi | CPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series Forecasting | Code
 | ICLR 2026 |
| Multivariat | TimesNet | GTR | Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval | Code
 | ICLR 2026 |
| Multivariat | TimesNet | TimeAli | Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting | Code
 | ICLR 2026 |
| Multivariat | TimesNet | | Are Global Dependencies Necessary? Scalable Time Series Forecasting via Local Cross-Variate Modeling | None | ICLR 2026 |
| Multivariat | TimesNet | GCGNet | GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables | Code
 | ICLR 2026 |
| Multivariat | TimesNet | | Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting | None | ICLR 2026 |
| Multivariat | TimesNet | MMPD | MMPD: Diverse Time Series Forecasting via Multi-Mode Patch Diffusion Loss | Code
 | ICLR 2026 |
Robust Multivariat | TimesNet | | Local Geometry Attention for Time Series Forecasting under Realistic Corruptions | Code
 | ICLR 2026 |
| Multivariat | TimesNet | FACT | FACT: Fine-grained Across-variable Convolution for Multivariate Time Series Forecasting | None | ICLR 2026 |
| Multivariat | TimesNet | | Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting | Code
 | ICLR 2026 |
Foundation Multivariat | | Aurora | Aurora: Towards Universal Generative Multimodal Time Series Forecasting | Code
 | ICLR 2026 |
| Multivariat | TimesNet | | The Forecast After the Forecast: A Post-Processing Shift in Time Series | Code
 | ICLR 2026 |
| Multivariat | TimesNet | ADAPT-Z | Online time series prediction using feature adjustment | Code
 | ICLR 2026 |
Robust Multivariat | ETT Weather EPA-Air | CTF | Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness | None | ICLR 2026 |
| Multivariat | TimesNet | xCPD | Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition | Code
 | ICLR 2026 |
Irregular Multivariat | | ASTGI | ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting | None | ICLR 2026 |
| Multivariat | TimesNet | ProtoTS | ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting | Code
 | ICLR 2026 |
| Multivariat | TimesNet | PhaseFormer | PhaseFormer: From Patches to Phases for Efficient and Effective Time Series Forecasting | Code
 | ICLR 2026 |
Irregular Multivariat | | ReIMTS | Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting | Code
 | ICLR 2026 |
| Multivariat | TimesNet | | Characteristic Root Analysis and Regularization for Linear Time Series Forecasting | Code
 | ICLR 2026 |
| Multivariat | TimesNet | SE-LLM | Semantic-Enhanced Time-Series Forecasting via Large Language Models | Code
 | ICLR 2026 |
| Analysis | TimesNet | TimeRecipe | TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness | Code
 | ICLR 2026 |
| Multivariat | TimesNet | ShifTS | Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift | Code
 | ICLR 2026 |
| Multivariat | TimesNet | QDF | Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models | None | ICLR 2026 |
| Multivariat | TimesNet | DistDF | DistDF: Time-series Forecasting Needs Joint-distribution Wasserstein Alignment | None | ICLR 2026 |
| Traffic | NGSIM HighD | | Micro-Macro Coupled Koopman Modeling on Graph for Traffic Flow Prediction | None | ICLR 2026 |
Evolve Traffic | METR-LA PEMS | STBP | A General Spatio-Temporal Backbone with Scalable Contextual Pattern Bank for Urban Continual Forecasting | Code
 | ICLR 2026 |
| Analysis | TimesNet | | Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated? | Code
 | ICLR 2026 |
Foundation Multivariat | TimesNet | UniCA | UniCA: Unified Covariate Adaptation for Time Series Foundation Model | Code
 | ICLR 2026 |
| Multivariat | TimesNet | TimeOmni-1 | TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models | Code
 | ICLR 2026 |
Foundation Multivariat | TimesNet | | Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment | Code
 | ICLR 2026 |
Foundation Multivariat | TimesNet | | Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation Models | Code
 | ICLR 2026 |
FL Foundation | TimesNet | FeDaL | FeDaL: Federated Dataset Learning for General Time Series Foundation Models | Code
 | ICLR 2026 |
Foundation Multivariat | TimesNet | SwiftTS | SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning | Code
 | ICLR 2026 |
Foundation Multivariat | TimesNet | SFF | Lost in the Non-convex Loss Landscape: How to Fine-tune the Large Time Series Model? | Code
 | ICLR 2026 |
Foundation Multivariat | TimesNet | GTM | GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series data | Code
 | ICLR 2026 |
| Multivariat | TimesNet | | Multi-Scale Hypergraph Meets LLMs: Aligning Large Language Models for Time Series Analysis | None | ICLR 2026 |
| Multivariat | TimesNet | AutoDA | AutoDA-Timeseries: Automated Data Augmentation for Time Series | Code
 | ICLR 2026 |
Foundation Multivariat | | | Toward Green Computing: General Carbon Intensity Forecasting via Dual Graph Empowered Time Series Foundation Model | None | WWW 2026 |
| Multivariat | TimesNet | | Cross-city Time Series Forecasting with Retrieval-Augmented Large Language Models | None | WWW 2026 |
| Multivariat | TimesNet | | Automated Model Selection for Multivariate Time Series Forecasting | None | WWW 2026 |
| Multivariat | TimesNet | GFMixer | GFMixer: Decoupled Temporal Gradient and Fourier-Aware Attention for Time Series Forecasting | None | WWW 2026 |
| Multivariat | TimesNet | CRAFT | Efficient High-Dimensional Time Series Forecasting with Transformers: A Channel Reordering Perspective | None | WWW 2026 |
| Multivariat | TimesNet | DynaME | Dynamic Multi-period Experts for Online Time Series Forecasting | Code
 | WWW 2026 |
| Multivariat | TimesNet | Re-Diffusion | Re-Diffusion: Modeling Latent Residuals with Diffusion for Time-Series Forecasting | None | WWW 2026 |
FL Multivariat | TimesNet | FedRMamba | FedRMamba: Federated Residual Mamba for Multivariate Time-Series Forecasting | None | WWW 2026 |
| Multivariat | | | Delay-Aware Graph Neural Stochastic Differential Equations for Financial Time Series Modeling and Forecasting | None | WWW 2026 |
| Multivariat | | | Energy-Efficient Training-Free Zero-Inflation Correction for Rainfall Forecasting with Time-Series Foundation Models | None | WWW 2026 |
| Multivariat | TimesNet | | Modeling Point-to-Point Dependency for High-Dimensional Long-Term Series Forecasting | None | WWW 2026 |
| Multivariat | TimesNet | | Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS | None | WWW 2026 |
Foundation Multivariat | TimesNet | QuiZSF | QuiZSF: A Retrieval-Augmented Framework for Zero-Shot Time Series Forecasting | None | WWW 2026 |
| Multivariat | TimesNet | SEMixer | SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting | Code
 | WWW 2026 |
| Multivariat | | Time-TK | Time-TK: A Multi-Offset Temporal Interaction Framework Combining Transformer and Kolmogorov-Arnold Networks for Time Series Forecasting | None | WWW 2026 |
| Multivariat | TimesNet | | Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning | None | WWW 2026 |
| Multivariat | TimesNet | EEO-TFV | EEO-TFV: Escape-Explore Optimizer for Web-Scale Time-Series Forecasting and Vision Analysis | None | WWW 2026 |
| Multivariat | TimesNet | | Back to the Future: Look-ahead Augmentation and Parallel Self-Refinement for Time Series Forecasting | None | WWW 2026 |
| Traffic | NYC PeMS | PLM-CUP | Exploiting Pre-trained Language Model for Cross-city Urban Flow Prediction Guided by Information-theoretic Analysis | Code
 | AAAI 2026 |
| Traffic | PEMS03 PEMS04 PEMS07 PEMS08 | MetaDG | Meta Dynamic Graph for Traffic Flow Prediction | Code
 | AAAI 2026 |
FL Traffic | HZMetro SHMetro NYC-Bike NYC-Taxi | FedSTGD | Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-temporal Graph Learning Method for Traffic Flow Forecasting | None | AAAI 2026 |
FL Traffic | PEMS03 PEMS04 PEMS07 PEMS08 | FedHINT | Inter-Client Dependency Recovery with Hidden Global Components for Federated Traffic Prediction | Code
 | AAAI 2026 |
| Traffic | PEMS03 PEMS04 PEMS07 PEMS08 | HyperD | HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting | Code
 | AAAI 2026 |
| Traffic | PEMS07 PEMS08 PEMS-BAY METR-LA Melbourne | GenCast | Generalising Traffic Forecasting to Regions Without Traffic Observations | Code
 | AAAI 2026 |
Traffic Kriging | PEMS03 PEMS04 PEMS-BAY AIR36 USHCN | DarkFarseer | DarkFarseer: Robust Spatio-Temporal Kriging Under Graph Sparsity and Noise | Code
 | AAAI 2026 |
ST Estimation | JNTaxi JHSales BJAir METR-LA PEMS08 | WaveDiST | WaveDiST: A Wavelet Diffusion Transformer for Spatio-Temporal Estimation on Unobserved Locations | Code
 | AAAI 2026 |
FL Traffic | METR-LA PEMS04 PEMS07 PEMS08 PEMS-BAY | SC-FSGL | Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs | None | AAAI 2026 |
| Multivariat | TimesNet | ReCast | ReCast: Reliability-aware Codebook-assisted Lightweight Time Series Forecasting | None | AAAI 2026 |
| Multivariat | TimesNet | TimeCAP | TimeCAP: A Channel-Aware Pre-Training Framework for Multivariate Time Series Forecasting | Code
 | AAAI 2026 |
| Multivariat | TimesNet | CometNet | CometNet: Contextual Motif-guided Long-term Time Series Forecasting | None | AAAI 2026 |
| Multivariat | ETT Weather ECL Traffic PEMS | IdealTSF | IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models? | None | AAAI 2026 |
Irregular Multivariat | | APN | Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting | Code
 | AAAI 2026 |
| Multivariat | TimesNet | | Goal-Oriented Time-Series Forecasting: Foundation Framework Design | None | AAAI 2026 |
| Multivariat | TimesNet | MDMLP-EIA | MDMLP-EIA: Multi-domain Dynamic MLPs with Energy Invariant Attention for Time Series Forecasting | None | AAAI 2026 |
| Multivariat | TimesNet | Sonnet | Sonnet: Spectral Operator Neural Network for Multivariable Time Series Forecasting | Code
 | AAAI 2026 |
FL Multivariat | | FedSkeleton | FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting | None | AAAI 2026 |
| Multivariat | TimesNet | T3Time | T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion | Code
 | AAAI 2026 |
| Multivariat | TimesNet | FreDN | FreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency Decomposition | None | AAAI 2026 |
| Multivariat | TimesNet | OccamVTS | OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting | None | AAAI 2026 |
| Multivariat | ETT ECL Traffic Weather | DTAF | Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing | Code
 | AAAI 2026 |
| Multivariat | TimesNet | TimeMosaic | TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding | None | AAAI 2026 |
| Multivariat | TimesNet | XLinear | XLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous Inputs | None | AAAI 2026 |
Attack Multivariat | TimesNet | TDBA | Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting | Code
 | AAAI 2026 |
| Multivariat | TimesNet | DeepBooTS | DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting | None | AAAI 2026 |
| Multivariat | TimesNet | EMAformer | EMAformer: Enhancing Transformer Through Embedding Armor for Time Series Forecasting | Code
 | AAAI 2026 |
FL Multivariat | | | Optimal Look-back Horizon for Time Series Forecasting in Federated Learning | None | AAAI 2026 |
| Multivariat | TimesNet | M2FMoE | M2FMoE: Multi-Resolution Multi-View Frequency Mixture-of-Experts for Extreme-Adaptive Time Series Forecasting | None | AAAI 2026 |
Irregular Multivariat | | | Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline | Code
 | AAAI 2026 |
| Multivariat | TimesNet | HN-MVTS | HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting | None | AAAI 2026 |
| Multivariat | TimesNet | APT | APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift | None | AAAI 2026 |
| Multivariat | TimesNet | FreqCycle | FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting | Code
 | AAAI 2026 |
Foundation Multivariat | TimesNet | ORTCL | ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation | None | AAAI 2026 |
| Multivariat | TimesNet | GraFT | GraFT: Infusing Pre-trained Transformers with Relational Structure for Time Series Forecasting | None | AAAI 2026 |
| Multivariat | TimesNet | STrans | STrans: Spontaneous Architecture Evolution for Adaptive Time Series Forecasting | None | AAAI 2026 |
| Multivariat | TimesNet | FeTS | FeTS: A Feature-Aware Framework for Time Series Forecasting | None | AAAI 2026 |
| Multivariat | TimesNet | | Sparse-Scale Transformer with Bidirectional Awareness for Time Series Forecasting | None | AAAI 2026 |
| Multivariat | TimesNet | M3Time | M3Time: LLM-Enhanced Multi-Modal, Multi-Scale, and Multi-Frequency Multivariate Time Series Forecasting | None | AAAI 2026 |
| Multivariat | TimesNet | TimePMG | TimePMG: LLM-Based Time Series Forecasting with Period-Aware Multi-Scale Decomposition and Group-Wise Alignment | None | AAAI 2026 |
| Multivariat | TimesNet | ProCAST | ProCAST: A Projection Framework for Coupled Aggregation Constrained Multivariate Time Series Forecasting | None | AAAI 2026 |
| Multivariat | TimesNet | | Unifying Channel Independence and Mixing: Multi-Scale Patch Recursion for Global-local Representation Synergy in Multivariate Time Series Forecasting | None | AAAI 2026 |
| Multivariat | ETT Electricity Traffic CA | | Harmonic Dataset Distillation for Time Series Forecasting | None | AAAI 2026 |
| Multivariat | TimesNet | SEMPO | SEMPO: Lightweight Foundation Models for Time Series Forecasting | Code
 | NIPS 2025 |
| Multivariat | TimesNet | TARFVAE | TARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAE | Code
 | NIPS 2025 |
| Multivariat | TimesNet | MAFS | Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation | Code
 | NIPS 2025 |
| Multivariat | TimesNet | TimeXL | TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop | None | NIPS 2025 |
| Multivariat | TimesNet | DMMV | Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting | Code
 | NIPS 2025 |
| Multivariat | TimesNet | xLSTM-Mixer | xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories | Code
 | NIPS 2025 |
| Multivariat | TimesNet | TFPS | Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift | Code
 | NIPS 2025 |
| Multivariat | TimesNet | SymTime | Synthetic Series-Symbol Data Generation for Time Series Foundation Models | Code
 | NIPS 2025 |
| Multivariat | TimesNet | OLinear | OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain | Code
 | NIPS 2025 |
| Multivariat | TimesNet | TimeEmb | TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting | Code
 | NIPS 2025 |
| Multivariat | TimesNet | Time-o1 | Time-o1: Time-Series Forecasting Needs Transformed Label Alignment | Code
 | NIPS 2025 |
| Multivariat | TimesNet | TimePerceiver | TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting | Code
 | NIPS 2025 |
| Multivariat | TimesNet | MSFT | Multi-Scale Finetuning for Encoder-based Time Series Foundation Models | Code
 | NIPS 2025 |
| Multivariat | TimesNet | DBLoss | DBLoss: Decomposition-based Loss Function for Time Series Forecasting | Code
 | NIPS 2025 |
| Multivariat | TimesNet | SRSNet | Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective | Code
 | NIPS 2025 |
| Multivariat | TimesNet | IF | Towards Accurate Time Series Forecasting via Implicit Decoding | Code
 | NIPS 2025 |
| Multivariat Zero Shot | TimesNet | TS-RAG | TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster | Code
 | NIPS 2025 |
| Multivariat Traffic | TimesNet PEMS03 PEMS04 PEMS07 PEMS08 | PIR | Improving Time Series Forecasting via Instance-aware Post-hoc Revision | Code
 | NIPS 2025 |
| Multivariat Traffic | Wind Temp PM25
| STELLA | On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting | Code
 | NIPS 2025 |
| Multivariat | TimesNet | AliO | AliO: Output Alignment Matters in Long-Term Time Series Forecasting | Code
 | NIPS 2025 |
| Multivariat | TimesNet | TOTO | This Time is Different: An Observability Perspective on Time Series Foundation Models | Code | NIPS 2025 |
| Multivariat | TimesNet | MoFo | MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling | Code
 | NIPS 2025 |
| Multivariat | TimesNet | | Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning | Code
 | NIPS 2025 |
| Multivariat | TimesNet | PIH | Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting | Code
 | NIPS 2025 |
| Multivariat | TimesNet | SCAM | Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting | Code
 | NIPS 2025 |
| ST SSL | PEMS03 PEMS04 PEMS07 PEMS07(M) METR-LA PEMS-BAY | ST-SSDL | How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning | Code
 | NIPS 2025 |
| Multivariat | TimesNet | DecompNet | DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition | Code
 | NIPS 2025 |
| Multivariat | TimesNet other | S2TS-LLM | Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation | Code
 | NIPS 2025 |
| Multivariat | TimesNet | MSFT | Multi-Scale Finetuning for Encoder-based Time Series Foundation Models | Code
 | NIPS 2025 |
| Multivariat | TimesNet | AMRC | Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency | Code
 | NIPS 2025 |
| Multivariat | TimesNet | SL | Selective Learning for Deep Time Series Forecasting | Code
 | NIPS 2025 |
| Multivariat | TimesNet | LightGTS | LightGTS: A Lightweight General Time Series Forecasting Model | Code
 | ICML 2025 |
| Multivariat | TimesNet | LETS | LETS Forecast: Learning Embedology for Time Series Forecasting | Code
 | ICML 2025 |
| Multivariat | TimesNet | TimeBase | TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting | Code
 | ICML 2025 |
| Multivariat | TimesNet | RAFT | Retrieval Augmented Time Series Forecasting | Code
 | ICML 2025 |
| Multivariat | TimesNet | CN | Channel Normalization for Time Series Channel Identification | Code
 | ICML 2025 |
| Multivariat | TimesNet | TimeBridge | TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting | Code
 | ICML 2025 |
| Multivariat | TimesNet | TimeStacker | TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting | None | ICML 2025 |
| Multivariat | TimesNet | WaveToken | Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization | Code | ICML 2025 |
| Multivariat | TimesNet | Moirai-MoE | Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts | Code
 | ICML 2025 |
| Multivariat | TimesNet | | In-Context Fine-Tuning for Time-Series Foundation Models | None | ICML 2025 |
| Multivariat | TimesNet | SKOLR | SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting | Code
 | ICML 2025 |
| Multivariat | ECL Nottingham | FSTLLM | FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting | Code
 | ICML 2025 |
| Traffic | NYC CHI SIP SD | SynEVO | SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation | Code
 | ICML 2025 |
Traffic ST | ETT ECL | RSTIB | Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting | Code
 | ICML 2025 |
| Multivariat | ETT Weather ECL Exchange | PatchLoss | Patch-wise Structural Loss for Time Series Forecasting | None | ICML 2025 |
Foundation Multivariat | Monash UEA UCR | ROSE | Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer | None | ICML 2025 |
| Multivariat | ETT ECL Exchange | MoF | Slimming the Fat-Tail: MoF for Adaptive Time Series Modeling | None | ICML 2025 |
| Multivariat | TimesNet | CMoS | CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations | Code
 | ICML 2025 |
| Analysis | Synthetic ECG5000 | | Exploring Representations and Interventions in Time Series Foundation Models | Code
 | ICML 2025 |
| Multivariat | TimesNet | CFPT | CFPT: Empowering Time Series Forecasting through Cross-Frequency Interaction and Periodic-Aware Timestamp Modeling | Code
 | ICML 2025 |
| Multivariat | TimesNet | TimePro | TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state | Code
 | ICML 2025 |
| Traffic | ETT Traffic ECL Weather Solar PEMS | TimeFilter | TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting | Code
 | ICML 2025 |
| Multivariat | TimesNet | Time-VLM | Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting | Code
 | ICML 2025 |
| Multivariat | TimesNet | LangTime | LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization | None | ICML 2025 |
Irregular Multivariat | MuJoCo MIMIC USHCN | ShiftingTime | Shifting time: Time-series forecasting with Khatri-Rao neural operators | Code
 | ICML 2025 |
Foundation Multivariat | TimesNet | | Lightweight Online Adaption for Time Series Foundation Model Forecasts | None | ICML 2025 |
| Multivariat | TimesNet | CNDiff | Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting | Code
 | ICML 2025 |
| Analysis | ECL ETT | | A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle | Code
 | ICML 2025 |
| Multivariat | TimesNet | TQNet | Temporal Query Network for Efficient Multivariate Time Series Forecasting | Code
 | ICML 2025 |
| Multivariat | TimesNet | WAVE | WAVE: Weighted Autoregressive Varing Gate for Time Series Forecasting | Code
 | ICML 2025 |
Foundation Multivariat | | Sundial | Sundial: A Family of Highly Capable Time Series Foundation Models | Code
 | ICML 2025 |
Foundation Zero Shot | GIFT-EVAL | VisionTS | VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters | Code
 | ICML 2025 |
| Multivariat | TimesNet | TimeFuse | Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting | Code
 | ICML 2025 |
Irregular Multivariat | PhysioNet MIMIC-III HAR USHCN | Hi-Patch | Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series | Code
 | ICML 2025 |
Irregular Multivariat | MIMIC-III MIMIC-IV PhysioNet HAR USHCN | HyperIMTS | HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting | None | ICML 2025 |
Irregular Multivariat | | VIMTS | IMTS is Worth Time × Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction | Code
 | ICML 2025 |
| Evolve Traffic | Air-Str PEMS-Str Energy-Str | EAC | Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting | Code
 | ICLR 2025 |
| Multivariat | TimesNet | TimeMixer++ | TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis | Code
 | ICLR 2025 |
| Multivariat | TimesNet | Time-MoE | Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts | Code
 | ICLR 2025 |
| Multivariat | TimesNet | TVNet | TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation | Code
 | ICLR 2025 |
| Multivariat | TimesNet | TimeKAN | TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting | Code
 | ICLR 2025 |
| Multivariat | TimesNet | ICTSP | In-context Time Series Predictor | Code
 | ICLR 2025 |
| Multivariat | TimesNet | FSCA | Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series](https://openreview.net/forum?id=syC2764fPc) | Code
 | ICLR 2025 |
| Multivariat | TimesNet | SimpleTM | SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting](https://openreview.net/forum?id=oANkBaVci5) | Code
 | ICLR 2025 |
| Multivariat | TimesNet | | Towards Neural Scaling Laws for Time Series Foundation Models](https://openreview.net/forum?id=uCqxDfLYrB) | Code
 | ICLR 2025 |
| Multivariat | TimesNet | Timer-XL | Timer-XL: Long-Context Transformers for Unified Time Series Forecasting | Code
 | ICLR 2025 |
| Multivariat | TimesNet | LCESN | Locally Connected Echo State Networks for Time Series Forecasting | Code
 | ICLR 2025 |
| Traffic | PEMS03 PEMS04 PEMS07 PEMS08 METR-LA PEMS-BAY ... | AutoSTF | AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting | Code
 | KDD 2025 |
| Traffic | LargeST | PatchSTG | Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective | Code
 | KDD 2025 |
| Traffic | CHITaxi CHIBike WSHBike NYBike | ProST | ProST: Prompt Future Snapshot on Dynamic Graphs for Spatio-Temporal Prediction | None | KDD 2025 |
Traffic unseen | NYCTaxi NYCBike BJTaxi | STEVE | Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction | Code
 | KDD 2025 |
| Multivariat | TimesNet | DUET | DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting | Code
 | KDD 2025 |
| Multivariat | TimesNet | TSFM-Bench | TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting | Code
 | KDD 2025 |
| Multivariat | TimesNet | QuantumTime | Quantum Time-index Models with Reservoir for Time Series Forecasting | Code
 | KDD 2025 |
| Multivariat | TimesNet | ST-MTM | ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting | Code
 | KDD 2025 |
| Multivariat | TimesNet | CMA | CMA: A Unified Contextual Meta-Adaptation Methodology for Time-Series Denoising and Prediction | Code
 | KDD 2025 |
| Multivariat | TimesNet | CrossLinear | CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables | Code
 | KDD 2025 |
| Multivariat | TimesNet | BLAST | BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models | Code
 | KDD 2025 |
| Multivariat | TimesNet | TimeCapsule | TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations | Code
 | KDD 2025 |
| Multivariat | TimesNet | MoA | Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting | Code
 | KDD 2025 |
| Multivariat | TimesNet | SDE | SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting | Code
 | KDD 2025 |
| Traffic | BIKE PEMS03 BJ500 METR-LA | STH-SepNet | Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive Hypergraphs | Code
 | KDD 2025 |
| Evolve Traffic | Electricity PeMS Weather | STEV | Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning | None | KDD 2025 |
| Traffic | PEMS04 PEMS08 METR-LA | STDN | Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting | Code
 | AAAI 2025 |
| Metro Traffic | PEMS Urban Rail | ReDyNet | Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting | None | AAAI 2025 |
| Traffic | PEMS03 PEMS04 PEMS07 PEMS08 | STSGNN | Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling | None | AAAI 2025 |
Foundation Traffic | PEMS03 PEMS04 METR-LA | STD-PLM | STD-PLM: Understanding Both Spatial and Temporal Properties of SpatialTemporal Data with PLM | None | AAAI 2025 |
Inductive Traffic | PEMS03 PEMS04 METR-LA | ST-FiT | ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data | None | AAAI 2025 |
Traffic Distillation | PEMS03 PEMS04 PEMS07 PEMS08 METR-LA | LightST | Efficient Traffic Prediction through Spatio-Temporal Distillation | Code
 | AAAI 2025 |
FL Traffic | PEMS03 PEMS04 PEMS07 PEMS08 | FUELS | Personalized Federated Learning for SpatioTemporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach | None | AAAI 2025 |
ST SSL Traffic | PEMS03 PEMS04 PEMS07 PEMS08 | SSL-STMFormer | SSL-STMFormer: Self-Supervised Learning SpatioTemporal Entanglement Transformer for Traffic Flow Prediction | None | AAAI 2025 |
Fairness Traffic | PEMS04 PEMS08 METR-LA | FairTP | FairTP: A Prolonged Fairness Framework for Traffic Prediction | None | AAAI 2025 |
SSL Pretrain Traffic | PEMS03 PEMS04 PEMS07 PEMS08 | ST-ReP | ST-ReP: Learning Predictive Representations Efficiently for SpatialTemporal Forecasting | None | AAAI 2025 |
Long-term Traffic | PEMS03 PEMS04 PEMS07 PEMS08 METR-LA | DST-Mamba | Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction | Code
 | AAAI 2025 |
CrossCity Traffic | PEMS03 PEMS04 PEMS08 | TSJT | Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting | None | AAAI 2025 |
| Multivariat | ETT Weather ECL Traffic Exchange ILI Solar | HCAN | Hierarchical Classification Auxiliary Network for Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | TimeCMA | TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment | Code
 | AAAI 2025 |
| Multivariat | ETT Weather Solar ECL Traffic | AMD | Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | Times2D | Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | VarDrop | VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | PatchMLP | Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting | None | AAAI 2025 |
| Multivariat | TimesNet | Amplifier | Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | P-sLSTM | Unlocking the Power of LSTM for Long Term Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | Apollo-Forecast | Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting | None | AAAI 2025 |
| Multivariat | TimesNet | TAFAS | Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation | Code
 | AAAI 2025 |
| Multivariat | ETT Weather ECL Traffic Solar Stock Exchange | ARMD | Auto-Regressive Moving Diffusion Models for Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | xPatch | xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition | Code
 | AAAI 2025 |
| Multivariat | ETT ECL Exchange Traffic Weather | Affirm | Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting | None | AAAI 2025 |
| Multivariat | ETT Weather ECL | LSINet | A Lightweight Sparse Interaction Network for Time Series Forecasting | None | AAAI 2025 |
| Multivariat | Solar ECL Traffic Taxi Wikipedia | HDT | HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | HyperMixer | HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting | None | AAAI 2025 |
| Multivariat | TimesNet | FilterTS | FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | WaveletMixer | WaveletMixer: A Multi-resolution Wavelets Based MLP-Mixer For Multivariate Long-term Time Series Forecasting | None | AAAI 2025 |
| Multivariat | ETT Weather ECL | TimePFN | TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data | Code
 | AAAI 2025 |
| Multivariat | ETT ECL Exchange ILI Solar Traffic Weather | WPMixer | WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | FSatten | Revisiting Attention for Multivariate Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | SeqComplementor | Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences | None | AAAI 2025 |
| Multivariat | TimesNet | CALF | CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning | Code
 | AAAI 2025 |
| Multivariat | ETT Weather ECL Solar | CSformer | CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting | None | AAAI 2025 |
| Multivariat | ECL Exchange ETTh2 ETTm1 | LSTD | Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting | Code
 | AAAI 2025 |
| Analysis | M3 M4 Tourism | | Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine | None | AAAI 2025 |
| SSL Repr | SleepEEG UCR | FMI | Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning | Code
 | AAAI 2025 |
SSL Pretrain | ETT Exchange PEMS | DropPatch | Enhancing Masked Time-Series Modeling via Dropping Patches | None | AAAI 2025 |
| Multivariat | TimesNet | SoP | Non-collective Calibrating Strategy for Time Series Forecasting | Code
 | IJCAI 2025 |
| Multivariat | TimesNet | VisMoE | Seeing Sequences like Humans: Pattern Classification Driven Time-Series Forecasting via Vision Language Models | Code
 | CIKM 2025 |
| Multivariat | TimesNet | BIM3 | Bidirectional Temporal-Aware Modeling with Multi-Scale Mixture-of-Experts for Multivariate Time Series Forecasting | Code
 | CIKM 2025 |
| Multivariat | TimesNet | BALM-TS | BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting | Code
 | CIKM 2025 |
| Multivariat | TimesNet | AdaPatch | AdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series Forecasting | Code
 | CIKM 2025 |
| Multivariat | TimesNet | WDformer | WDformer: A Wavelet-based Differential Transformer Model for Time Series Forecasting | Code
 | CIKM 2025 |
| Multivariat | TimesNet | HRCformer | HRCformer: Hierarchical Recursive Convolution-Transformer with Multi-Scale Adaptive Recalibration for Time Series Forecasting | None | CIKM 2025 |
| Multivariat | METR-LA PEMS-BAY China-AQI Electricity Solar Temperature | ST-Hyper | ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting | None | CIKM 2025 |
| Multivariat | TimesNet | EAPformer | Bidirectional Temporal-Aware Modeling with Multi-Scale Mixture-of-Experts for Multivariate Time Series Forecasting | Code
 | CIKM 2025 |
| Multivariat | TimesNet | MillGNN | MillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series Forecasting | None | CIKM 2025 |
| Multivariat | TimesNet | MSOFormer | MSOFormer: Multi-scale Transformer with Orthogonal Embedding and Frequency Modeling for Multivariate Time Series Forecasting | None | CIKM 2025 |
| Zero Shot | Parking TimesNet | DANet | DANet: A RAG-inspired Dual Attention Model for Few-shot Time Series Prediction | None | CIKM 2025 |
| Multivariat | TimesNet | | Structural Entropy-based Multivariate Time Series Forecasting | None | CIKM 2025 |
| Traffic | PEMS03 PEMS04 PEMS07 PEMS08 METR-LA PEMS-BAY | TopKNet | TopKNet:Learning to Perceive the Top-K Pivotal Nodes in Spatio-Temporal Data for Traffic Forecasting | Code
 | CIKM 2025 |
| Traffic | NYCTaxi CityBike METR-LA PEMS-BAY | ST-LINK | ST-LINK: Spatially-Aware Large Language Models for Spatio-Temporal Forecasting | Code
 | CIKM 2025 |
Traffic Random Missing | PEMS04 PEMS08 | STMMoE | Spatio-Temporal Forecasting under Open-World Missingness with Adaptive Mixture-of-Experts | Code
 | CIKM 2025 |
Traffic Node Missing | PEMS03 PEMS04 PEMS07 PEMS08 METR-LA PEMS-BAY ... | STA-GANN | STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach | Code
 | CIKM 2025 |
| Finance | Crypto Forex Future Stock Econ Others | FinCast | FinCast: A Foundation Model for Financial Time-Series Forecasting | Code
 | CIKM 2025 |
| Wind Power | China Texas | | Multivariate Wind Power Time Series Forecasting with Noise-Filtering Neural ODEs | None | CIKM 2025 |
| Traffic | PEMS04 PEMS07 PEMS08 CHIBike | DSformer | Extracting Global Temporal Patterns Within Short Look-Back Windows for Traffic Forecasting | Code
 | CIKM 2025 |
| Traffic | PEMS03 PEMS04 PEMS07 PEMS08 | DoP | Decoder-only Pre-training Enhancement for Spatio-temporal Traffic Forecasting | Code
 | CIKM 2025 |
| Traffic | PEMS07(M) PEMS07 PEMS08 NYCTaxi NYCBike | SSMOE | Mixture of Semantic and Spatial Experts for Explainable Traffic Prediction | None | CIKM 2025 |
| Traffic | PEMS04 PEMS07 PEMS08 | MultiGran | Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes | None | CIKM 2025 |
| Traffic | I-80 US-101 Complex- highway | TPN | Balance and Brighten: A Twin-Propeller Network to Release Potential of Physics Laws for Traffic State Estimation | Code
 | CIKM 2025 |
| Traffic | PEMS04 PEMS07 PEMS08 Jinan | FEDDGCN | FEDDGCN: A Frequency-Enhanced Decoupling Dynamic Graph Convolutional Network for Traffic Flow Prediction | None | CIKM 2025 |
| Multivariat | TimesNet | SSCNN | Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | TimesNet | | Are Language Models Actually Useful for Time Series Forecasting? | Code
 | NIPS 2024 |
| Multivariat | TimesNet | PGN | PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | TimesNet | CATS | Are Self-Attentions Effective for Time Series Forecasting? | Code
 | NIPS 2024 |
| Multivariat | TimesNet | Attraos | Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective | Code
 | NIPS 2024 |
| Multivariat | TimesNet | Time-FFM | Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | TimesNet | Chimera | Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models | Code
 | NIPS 2024 |
| Multivariat | TimesNet | TimeXer | TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables | Code
 | NIPS 2024 |
| Multivariat | TimesNet | MiTSformer | Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment | Code
 | NIPS 2024 |
| Multivariat | TimesNet | TTMs | Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series | Code
 | NIPS 2024 |
| Multivariat | TimesNet | Sumba | Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics | Code
 | NIPS 2024 |
| Multivariat | TimesNet | Peri-midF | Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis | Code
 | NIPS 2024 |
| Multivariat | TimesNet | Ada-MSHyper | Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | ... | LPTM | Large Pre-trained time series models for cross-domain Time series analysis tasks | Code
 | NIPS 2024 |
| Multivariat | TimesNet | CCM | From Similarity to Superiority: Channel Clustering for Time Series Forecasting | Code
 | NIPS 2024 |
| Add News | Electricity Exchange Traffic Bitcoin | | From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection | Code
 | NIPS 2024 |
| Multivariat | ImageBind IMU2CLIP IMUGPT HARGPT LLaVA | UniMTS | UniMTS: Unified Pre-training for Motion Time Series | Code
 | NIPS 2024 |
| Attack | PEMS03 PEMS04 PEMS08 Weather ETTm1 | BackTime | BackTime: Backdoor Attacks on Multivariate Time Series Forecasting | Code
 | NIPS 2024 |
| Less data | Electricity Solar Traffic PEMS-BAY METR-LA | ChronoEpilogi | ChronoEpilogi: Scalable Time Series Selection with Multiple Solutions | Code
 | NIPS 2024 |
| Multivariat | TimesNet | FAN | Frequency Adaptive Normalization For Non-stationary Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | TimesNet | GLAFF | Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective | Code
 | NIPS 2024 |
| Multivariat | TimesNet | FilterNet | FilterNet: Harnessing Frequency Filters for Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | TimesNet | CycleNet | CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns | Code
 | NIPS 2024 |
| Multivariat | TimesNet | RATD | Retrieval-Augmented Diffusion Models for Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | TimesNet | DDN | DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | TimesNet | FBM | Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | TimesNet | BSA | Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | TimesNet | DeformableTST | DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching | Code
 | NIPS 2024 |
| Multivariat | TimesNet | SOFTS | SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion | Code
 | NIPS 2024 |
| Multivariat | TimesNet | | Scaling Law for Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | TimesNet | AutoTimes | AutoTimes: Autoregressive Time Series Forecasters via Large Language Models | Code
 | NIPS 2024 |
| Multi Task | TimesNet | UniTS | UniTS: A Unified Multi-Task Time Series Model | Code
 | NIPS 2024 |
| Foundation TS | ... | MOMENT | MOMENT: A Family of Open Time-series Foundation Models | Code
 | ICML 2024 |
| Multivariat | TimesNet | OSL | An Analysis of Linear Time Series Forecasting Models | Code
 | ICML 2024 |
| Six | TimesNet | UP2ME | UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis | Code
 | ICML 2024 |
| Multivariat | TimesNet | SparseTSF | SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters | Code
 | ICML 2024 |
| Multivariat | Electricity PEMSD7M BikeNYC TimesNet | SCNN | Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting | Code
 | TKDE 2024 |
| Multivariat | TimesNet | iTransformer | iTransformer: Inverted Transformers Are Effective for Time Series Forecasting | Code
 | ICLR 2024 |
| Multivariat | NorPool Caiso Traffic Electricity Weather Exchange ETT Wind | mr-Diff | Multi-Resolution Diffusion Models for Time Series Forecasting | None | ICLR 2024 |
| Multivariat | ETT Electricity Weather Traffic Exchange ILI | ModernTCN | ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis | Code
 | ICLR 2024 |
| Multivariat | TimesNet | Time-LLM | Time-LLM: Time Series Forecasting by Reprogramming Large Language Models | Code
 | ICLR 2024 |
| Multivariat | TimesNet | TEMPO | TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting | Code
 | ICLR 2024 |
| Multivariat | TimesNet | CARD | CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting | Code
 | ICLR 2024 |
| Multivariat | TimesNet | ARM | ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning | None | ICLR 2024 |
| Multivariat | TimesNet | DAM | DAM: Towards a Foundation Model for Forecasting | None | ICLR 2024 |
| Multivariat | TimesNet PEMS3478 | TimeMixer | TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting | Code
 | ICLR 2024 |
| Multivariat | TimesNet | PDF | Periodicity Decoupling Framework for Long-term Series Forecasting | Code
 | ICLR 2024 |
Multivariat Missing Value | METR-LA Electricity PEMS ETT BeijingAir | BiTGraph | Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values | Code
 | ICLR 2024 |
| Multivariat | TimesNet PEMS08 | LIFT | Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators | Code
 | ICLR 2024 |
| Multivariat | ETT Weather ILI Traffic | STanHop | STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction | Code
 | ICLR 2024 |
| Multivariat | ETT Weather Electricity Traffic ILI CloudCluster | Pathformer | Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting | Code
 | ICLR 2024 |
| Multivariat | TimesNet | pits | Learning to Embed Time Series Patches Independently | Code
 | ICLR 2024 |
| Multivariat | ETT Weather Electricity Traffic | FITS | FITS: Modeling Time Series with 10k Parameters | Code
 | ICLR 2024 |
| Multivariat | ETT Electricity Weather Lora | AutoTCL | Parametric Augmentation for Time Series Contrastive Learnin | Code
 | ICLR 2024 |
| Multivariat | ETT Exchange ILI | GLIP | Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction | Code | ICLR 2024 |
| Multivariat | TimesNet | Fredformer | Fredformer: Frequency Debiased Transformer for Time Series Forecasting | Code
 | KDD 2024 |
| Multivariat | TimesNet | GPHT | Generative Pretrained Hierarchical Transformer for Time Series Forecasting | Code
 | KDD 2024 |
| Multivariat | TimesNet | FRNet | FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting | Code
 | KDD 2024 |
Missing MTS | METR-LA PEMS-BAY PEMS04 PEMS08 China AQI | GinAR | GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing | Code
 | KDD 2024 |
| Multivariat | METR-LA PEMS-BAY PEMS04 PEMS07 PEMS08 | HimNet | Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting | Code
 | KDD 2024 |
| Multivariat | TimesNet | CDS | Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift | Code
 | KDD 2024 |
Foundation Traffic | TaxiBJ Crawd BikeNYC Cellular TDrive TrafficSH | UniST | UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction | Code
 | KDD 2024 |
Early Traffic | METR-LA EMS NYPD | STEMO | STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning | Code
 | KDD 2024 |
New nodes Traffic | Large-ST | STONE | STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts | Code
 | KDD 2024 |
Irregular Traffic | Zhuzhou Baoding | Aseer | Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks | Code
 | KDD 2024 |
| Multivariat | Stock Exchange Weather | CONTIME | Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization | Code
 | KDD 2024 |
| Multivariat | PEMS07 Large-ST | GWT | Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks | Code | KDD 2024 |
| Large Scale | Large-ST | RPMixer | RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data | Code | KDD 2024 |
Demand Supply Prediction | Shanghai Zhengzhou | MulSTE | MulSTE: A Multi-view Spatio-temporal Learning Framework with Heterogeneous Event Fusion for Demand-supply Prediction | Code
 | KDD 2024 |
| Multivariat | 108s | AutoXPCR | AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting | TF
 | KDD 2024 |
| Multivariat | TimesNet | UniTime | UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting | Code
 | WWW 2024 |
| Multivariat | Ross Saratoga UpperPen SFC | DAN | Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting | Code
 | AAAI 2024 |
| Multivariat | ILI Weather Traffic Electricity ETT Exchange | HDMixer | HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting | Code
 | AAAI 2024 |
| Multivariat | PEMS03 PEMS04 PEMS07 PEMS08 England TaxiBJ PEMS-BAY | STPGNN | Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting | None | AAAI 2024 |
| Multivariat | FD001 FD002 FD003 FD004 | FC-STGNN | Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data | Code
 | AAAI 2024 |
| Multivariat | PEMS04 PEMS08 blockchain | TMP-Nets | Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence | None | AAAI 2024 |
| Multivariat | METR-LA PEMS-BAY | ModWaveMLP | ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting | TF
 | AAAI 2024 |
| Multivariat | Flight Weather ETT Electricity Exchange | MSGNet | MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting | Code
 | AAAI 2024 |
| Multivariat | Self-PeMS | DLF | Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective | Code
 | AAAI 2024 |
| Multivariat | ETT Weather ILI Exchange | HTV-Trans | Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting | Code
 | AAAI 2024 |
| Multivariat | A-share Cross-Market ETT | ST-DAN | Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction | Code
 | AAAI 2024 |
| Six | TimesNet | CTRL | An NCDE-based Framework for Universal Representation Learning of Time Series | Code
 | IJCAI 2024 |
| Traffic | PEMS3478 | STD-MAE | Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting | Code
 | IJCAI 2024 |
| Multivariat | TimesNet | DERITS | Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting | None | IJCAI 2024 |
| Multivariat | TimesNet | Skip-Timef | Skip-Timeformer: Skip-Time Interaction Transformer for Long Sequence Time-Series Forecasting | None | IJCAI 2024 |
| Multivariat | TimesNet | VCformer | VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting | Code
 | IJCAI 2024 |
| Multivariat | TimesNet | LeRet | LeRet: Language-Empowered Retentive Network for Time Series Forecasting | Code
 | IJCAI 2024 |
| Missing Variate | METR-LA Solar Traffic ECG5000 | SDformer | SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting | None | IJCAI 2024 |
| Traffic | METR-LA PEMS-BAY PEMSD7M | DCST | Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction | Code
 | IJCAI 2024 |
| Traffic | METR-LA PEMS-BAY | ST-nFBST | Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting | Code
 | IJCAI 2024 |
multisource SSL | BikeIn BikeOut TaxiIn TaxiOut Air | MoSSL | Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning | Code
 | IJCAI 2024 |
Traffic CrossCity | METR-LA PEMS-BAY DiDiCD DiDiSZ | pFedCTP | Personalized Federated Learning for Cross-City Traffic Prediction | Code
 | IJCAI 2024 |
| Multivariat | TimesNet | SDformer | SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting | Code
 | IJCAI 2024 |
| Multivariat | TimesNet | SpecAR-Net | SpecAR-Net: Spectrogram Analysis and Representation Network for Time Series | Code
 | IJCAI 2024 |
| Multivariat | TimesNet | SCAT | SCAT: A Time Series Forecasting with Spectral Central Alternating Transformers | None | IJCAI 2024 |
| Traffic | Traffic ECG COVID-19 Wiki Solar | DIAN | Decoupled Invariant Attention Network for Multivariate Time-series Forecasting | Code
 | IJCAI 2024 |
| Traffic | Wave Wind Air | EPL | Self-adaptive Extreme Penalized Loss for Imbalanced Time Series Prediction | Code
 | IJCAI 2024 |
| Multivariat | ETT Electricity Traffic Weather Exchange | U-Mixer | U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting | None | AAAI 2024 |
| Irregular | USHCN MIMIC-III MIMIC-IV Physionet-12 | GraFITi | GraFITi: Graphs for Forecasting Irregularly Sampled Time Series | Code
 | AAAI 2024 |
Traffic Flow | PEMS03 PEMS04 PEMS07 PEMS08 | MultiSPANS | MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization | Code
 | WSDM 2024 |
| Multivariat | SIP NYC METR-LA | CreST | CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting | None | WSDM 2024 |
| Multivariat | Web Traffic Labour Traffic Tourism | HTS | NeuralReconciler for Hierarchical Time Series Forecasting | None | WSDM 2024 |
| Multivariat | NYC13 BikeNYC Chicago21 Chicago22 | CityCAN | CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting | None | WSDM 2024 |
| Multivariat | Solar Wiki Traffic ECG Electricity COVID-19 Weather ETT | FreTS | Frequency-domain MLPs are More Effective Learners in Time Series Forecasting | Code
 | NIPS 2023 |
LLM4TS Zero Shot | Darts Monash Informer | - | Large Language Models Are Zero-Shot Time Series Forecasters | LLM
 | NIPS 2023 |
| Zero Shot | ECL ETT Exchange ILI Traffic Weather | ForecastPFN | ForecastPFN: Synthetically-Trained Zero-Shot Forecasting | TF
 | NIPS 2023 |
| Multivariat | ECL Traffic ETT Weather | WITRAN | WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting | Code
 | NIPS 2023 |
| Multivariat | ETT Weather PEMS03 PEMS04 PEMS07 PEMS08 | Neural Lad | Neural Lad: A Neural Latent Dynamics Framework for Times Series Modeling | None | NIPS 2023 |
| Multivariat | ETT Weather Electricity | OneNet | OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling | Code
 | NIPS 2023 |
Multivariat Solar Irradiance | CAB TAM | CrossViVit | Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context | Code
 | NIPS 2023 |
| Multivariat | ECL ETT Exchange ILI Traffic Weather | Koopa | Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors | Code
 | NIPS 2023 |
| Multivariat | GPVAR METR-LA PEMS-BAY PEMS03 PEMS04 PEMS07 PEMS08 CER-E AQI | TTS-IMP | Taming Local Effects in Graph-based Spatiotemporal Forecasting | Code
 | NIPS 2023 |
| Multivariat | PEMS08 AIR-BJ AIR-GZ | CaST | Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment | Code
 | NIPS 2023 |
| Multivariat | PEMS08 METR-LA NYC Taxi NYC Bike | GPT-ST | GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks | Code
 | NIPS 2023 |
| Multivariat | Solar Wiki Traffic COVID-19 | FourierGNN | FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective | Code
 | NIPS 2023 |
| Multivariat | ETT Weather Electricity Traffic | SimMTM | SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling | Code
 | NIPS 2023 |
| Multivariat | ETT Electricity Exchange Traffic Weather ILI | BasisFormer | BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis | Code
 | NIPS 2023 |
| Irregular | Neonate Traffic MIMIC StackOverflow BookOrder Exchange ETT ILI Weather | ContiFormer | ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling | Code | NIPS 2023 |
| Multivariat | Electricity Exchange Traffic Weather ILI ETT | SAN | Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective | Code
 | NIPS 2023 |
| Multivariat | ETT Electricity Exchange Traffic Weather ILI | DeepTime | Learning Deep Time-index Models for Time Series Forecasting | Code
 | ICML 2023 |
| Multivariat | Crime CHI-Taxi NYC-Bike NYC-Taxi CHI-House NYC-House | GraphST | Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation | Code
 | ICML 2023 |
| Multivariat | Synthetic Taxi Electricity Traffic | FeatureP | Feature Programming for Multivariate Time Series Prediction | Code
 | ICML 2023 |
| Multivariat | NorPool Caiso Weather ETT Wind Traffic Electricity Exchange | TimeDiff | Non-autoregressive Conditional Diffusion Models for Time Series Prediction | None | ICML 2023 |
| Multivariat | ETT Electricity Exchange Traffic Weather ILI | MICN | MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting | Code
 | ICLR 2023 |
| Multivariat | ETT Weather Electricity ILI Traffic | Crossformer | Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting | Code
 | ICLR 2023 |
Forecast Imputation Classifi AnomalyDet | ETT M4 Electricity Weather SMD,MSL SMAP,SWaT PSM | TimesNet | TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis | Code
 | ICLR 2023 |
| Multivariat | | Meta-SSM | Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting | Code
 | ICLR 2023 |
| Multivariat | ETT Electricity Traffic Weather | FSNet | Learning Fast and Slow for Time Series Forecasting | Code
 | ICLR 2023 |
Robust Multivariat | Traffic Taxi Wiki Electricity | | Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms | Amazon | ICLR 2023 |
| Multivariat | Electricity Crypto M4 Traffic Exchange | KNF | Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts | Code
 | ICLR 2023 |
| Multivariat | ETT Weather Electricity Traffic Exchange | SpaceTime | Effectively Modeling Time Series with Simple Discrete State Spaces | Code
 | ICLR 2023 |
| Multivariat | Weather Traffic Electricity ILI ETT | PatchTST | A Time Series is Worth 64 Words: Long-term Forecasting with Transformers | Code
 | ICLR 2023 |
| Multivariat | Exchange Weather Electricity Traffic ILI | Scaleformer | Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting | Code
 | ICLR 2023 |
Multivariat classifica AnomalyDec | Electricity Weather ETTm1 MSL SMD SMAP | SBT | Sparse Binary Transformers for Multivariate Time Series Modeling | Code
 | KDD 2023 |
| Multivariat | SIP METR-LA KnowAir Electricity | CauSTG | Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning | Code
 | KDD 2023 |
Robust Multivariat | PEMS-BAY PEMS04 | RDAT | Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training | Code
 | KDD 2023 |
| Multivariat | Beijing Chengdu Harbin | Frigate | Frigate: Frugal Spatio-temporal Forecasting on Road Networks | Code
 | KDD 2023 |
| Multivariat | XC-Traffic NYC-Traffic | GCIM | Generative Causal Interpretation Model for Spatio-Temporal Representation Learning | None | KDD 2023 |
| Multivariat | Tourism Labour Wiki Flu-Symptoms FB-Survey | PROFHiT | When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting | Code
 | KDD 2023 |
Multivariat Under Miss | AQI-36 AQI PEMS-BAY CER-E Healthcare SMAP | MIDM | An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series | Author | KDD 2023 |
| Multivariat | PEMS03 PEMS04 PEMS07 PEMS08 etc. | Localised | Localised Adaptive Spatial-Temporal Graph Neural Network | None | KDD 2023 |
| Multivariat | PEMS3-Stream | PECPM | Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction | None | KDD 2023 |
| Multivariat | Tourism Wiki Traffic | HPO | Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting | None | KDD 2023 |
| Multivariat | Weather Traffic Electricity ETT | TSMixer | TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting | None | KDD 2023 |
Transfer Traffic Forecasting | PEMSD7M PEMSD7M METR-LA PEMS-BAY | TransGTR | Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities | Author | KDD 2023 |
| Multivariat | ETT Traffic Electricity Exchange Weather ILI | DLinear | Are Transformers Effective for Time Series Forecasting | Code
 | AAAI 2023 |
| Multivariat | METR-LA PEMSD7M | STC-Dropout | Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout | Code
 | AAAI 2023 |
| Multivariat | BJ-Bike NYC-Bike | STNSCM | Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction | Code
 | AAAI 2023 |
| Multivariat | XC-Trans XC-Speed | CCHMM | Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction | Code
 | AAAI 2023 |
| Multivariat | NYCBike1 NYCBike2 NYCTaxi BJTaxi | ST-SSL | Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction | Code
 | AAAI 2023 |
| Multivariat | PV-US CER-En | SGP | Scalable Spatiotemporal Graph Neural Networks | Code
 | AAAI 2023 |
| Multivariat | Electricity Solar PEMS-BAY METR-LA | SRD | Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling | Code
 | AAAI 2023 |
| Multivariat | ETT Electricity | InfoTS | Time Series Contrastive Learning with Information-Aware Augmentations | Code
 | AAAI 2023 |
| Multivariat | PhysioNet MIMIC-III Activity Appliances Energy | PrimeNet | PrimeNet: Pre-training for Irregular Multivariate Time Series | Code
 | AAAI 2023 |
| Multivariat | Electricity ETT Weather | Dish-TS | Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting | Code
 | AAAI 2023 |
| Multivariat | ETT Electricity Exchange Traffic Weather ILI | NHITS | NHITS: Neural Hierarchical Interpolation for Time Series Forecasting | Code
 | AAAI 2023 |
| Multivariat | METR-LA ETT Weather | MegaCRN | Spatio-Temporal Meta-Graph Learning for Traffic Forecasting | Code
 | AAAI 2023 |
| Multivariat | Santa Traffic | NEC+ | An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks | Code
 | AAAI 2023 |
| Extreme MTSF | Electricity Solar Weather Traffic | WaveForM | WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series | Code
 | AAAI 2023 |
| Multivariat | PEMS04 PEMS07 PEMS08 NYCTaxi CHBike TDrive | PDFormer | PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction | Code
 | AAAI 2023 |
| Multivariat | AmapBeijing AmapChengdu | STGNPP | Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction | None | AAAI 2023 |
| Multivariat | ETT Electricity Exchange Traffic Weather ILI | InParformer | InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting | None | AAAI 2023 |
| Multivariat | Tourism Labour M5 | SLOTH | SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies | None | AAAI 2023 |
| Multivariat | Wind Solar | eForecaster | eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms | None | AAAI 2023 |
| Multivariat | NYCTaxi PEMS04 | AutoSTL | AutoSTL: Automated Spatio-Temporal Multi-Task Learning | None | AAAI 2023 |
| Multivariat | METR-LA PEMS-BAY | Trafformer | Trafformer: Unify Time and Space in Traffic Prediction | None | AAAI 2023 |
| Multivariat | Electricity PM2.5 Exchange | DeLELSTM | DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series | Code
 | IJCAI 2023 |
| Multivariat | NYC-Bike PEMS-BAY PEMS08 | ReMo | Not Only Pairwise Relationships: Fine-Grained Relational Modeling for Multivariate Time Series Forecasting | Code
 | IJCAI 2023 |
| Multivariat | NASA | MetePFL | Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data | Code
 | IJCAI 2023 |
| Multivariat | Hurricane Climate | Self-Recover | Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning | None | IJCAI 2023 |
| Multivariat | Weather Traffc Electricity Exchange ILI | SMARTformer | SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting | None | IJCAI 2023 |
| Multivariat | METR-LA Beijing Xiamen | INCREASE | INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging | TF
 | WWW 2023 |
| Multivariat | MQPS ETT Electricity | KAE-Informer | KAE-Informer: A Knowledge Auto-Embedding Informer for Forecasting Long-Term Workloads of Microservices | Code
 | WWW 2023 |
| Multivariat | Typhoon-JP COVID-JP Hurricane-US | MemeSTN | Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster | Code
 | WWW 2023 |
| Multivariat | NYC Chicago | EALGAP | Extreme-Aware Local-Global Attention for Spatio-Temporal Urban Mobility Learning | Keras
 | ICDE 2023 |
| Multivariat | PEMS03 PEMS04 PEMS07 PEMS08 | DyHSL | Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting | Code
 | ICDE 2023 |
| Multivariat | PEMS03 PEMS04 PEMS07 PEMS08 | STWave | When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks | Code
 | ICDE 2023 |
| Multivariat | Seattle PEMS04 PEMS08 | SSTBAN | Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting | Code
 | ICDE 2023 |
| Multivariat | PEMSD4 PEMSD8 AirBJ TrafficSIP | MGTF | A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework | Author | WSDM 2023 |
| Multivariat | METR-LA PEMS-BAY PEMS04 PEMS07 PEMS08 | STAEformer | Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting | Code
 | CIKM 2023 |
| Traffic | PEMS03 PEMS04 PEMS07 PEMS08 | TrendGCN | Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting | Code
 | CIKM 2023 |
| Multivariat | ETT Electricity Traffic Weather ILI Exchange | GCformer | GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting | Code
 | CIKM 2023 |
| Multivariat | ETT Electricity Traffic | Seq2Peak | Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting | Code
 | CIKM 2023 |
| Multivariat | PEMS04 PEMS07 PEMS08 NYC Crime CHI Crime | CL4ST | Spatio-Temporal Meta Contrastive Learning | Code
 | CIKM 2023 |
| Multivariat | NYC Bike NYC Taxi | MLPST | MLPST: MLP is All You Need for Spatio-Temporal Prediction | Author | CIKM 2023 |
| Multivariat | TaxiBJ BikeNYC | MC-STL | Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction | Code
 | CIKM 2023 |
| Multivariat | PeMS Beijing Electricity COVID-CHI | MemDA | MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation | Code
 | CIKM 2023 |
Cross City Traffic | PEMS-BAY METR-LA Chengdu Shenzhen | TPB | Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank | Code
 | CIKM 2023 |
| Traffic Speed | METR-LA PEMS-BAY PEMSD7M | UAGCRN | Enhancing Spatio-temporal Traffic Prediction through Urban Human Activity Analysis | TF
 | CIKM 2023 |
| Multivariat | Complaint NYC Taxi | PromptST | PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction | Code
 | CIKM 2023 |
| Multivariat | METR-LA PEMS-BAY PEMS08 | HIEST | Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting | Code
 | CIKM 2023 |
| Multivariat | ETT Electricity Weather Traffic | TemDep | TemDep: Temporal Dependency Priority for Multivariate Time Series Prediction | Code
 | CIKM 2023 |
| Traffic | BJ-Center METR-LA | ST-MoE | ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction | None | CIKM 2023 |
| Multivariat | ETT Electricity Weather Traffic Exchange | AVGNets | Learning Visibility Attention Graph Representation for Time Series Forecasting | None | CIKM 2023 |
| Multivariat | PEMS03 PEMS04 PEMS07 PEMS08 | STGBN | Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting | None | CIKM 2023 |
| Multivariat | ETT Electricity Traffic ILI Exchange | FAMC-Net | FAMC-Net: Frequency Domain Parity Correction Attention and Multi-Scale Dilated Convolution for Time Series Forecasting | None | CIKM 2023 |
Cross City Traffic | NYC Chicago Nashville | CARPG | CARPG: Cross-City Knowledge Transfer for Traffic Accident Prediction via Attentive Region-Level Parameter Generation | None | CIKM 2023 |
| Traffic | SPEED FLOW | CANet | Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting | None | CIKM 2023 |
| Multivariat | ETT Exchange ILI Weather Electricity Traffic | DSformer | DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction | None | CIKM 2023 |
| Multivariat | Wufu | MODE | Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data | None | CIKM 2023 |
| Multivariat | NYC | MetaRSTP | Region Profile Enhanced Urban Spatio-Temporal Prediction via Adaptive Meta-Learning | None | CIKM 2023 |
| Multivariat | SIP NYC METR-LA | G2S | Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics | None | SDM 2023 |
| Multivariat | Solar PEMS-BAY Electricity | ERL | Time-delayed Multivariate Time Series Predictions | None | SDM 2023 |
| Multivariat | Weather2K | Weather2K | Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations | Weather2K
 | AISTATS 2023 |
| Multivariat | ETT Electricity Exchange Traffic Weather ILI | FiLM | FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting | Code
 | NeurIPS 2022 |
| Multivariat | ETT Electricity Exchange Weather | LaST | Learning Latent Seasonal-Trend Representations for Time Series Forecasting | Code
 | NeurIPS 2022 |
| Multivariat | ETT Electricity Exchange Traffic Weather ILI | WaveBound | WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting | Code
 | NeurIPS 2022 |
| Multivariat | COVID-19 PEMS04 PEMS08 Temperature Bytom Wind | ZFC-SHCN | Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting | Future | NeurIPS 2022 |
| Multivariat | ETT Traffic Solar Electricity Exchange PEMS03 PEMS04 PEMS07 PEMS08 | SCINet | SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction | Code
 | NeurIPS 2022 |
| Multivariat | Electricity ETT Exchange ILI Traffic Weather | NonstaTransf | Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting | Code
 | NeurIPS 2022 |
| Multivariat | Traffic Solar Electricity Exchange PEMS07(M) PEMS-BAY | TPGNN | Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks | Future | NeurIPS 2022 |
| Multivariat | PEMS03 PEMS04 PEMS07 PEMS08 | DSTAGNN | DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting | Code
 | ICML 2022 |
| Multivariat | ETT Electricity Exchange Traffic Weather ILI | FEDformer | FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting | Code
 | ICML 2022 |
| Multivariat | Traffic Electricity Wiki Sales | DAF | DAF-Domain Adaptation for Time Series Forecasting via Attention Sharing | None | ICML 2022 |
| Multivariat | Electricity Solar Fred MD KDD Cup | TACTiS (Copulas, Trans) | TACTiS: Transformer-Attentional Copulas for Time Series | Code
 | ICML 2022 |
| Multivariat | French Electricity | AgACI | Adaptive Conformal Predictions for Time Series | Python,R
 | ICML 2022 |
| Traffic Speed | NAVER-Seoul METR-LA | PM-MemNet (Mem,KNN) | Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting | Code
 | ICLR 2022 |
| Multivariat | PEMS03 PEMS04 PEMS08 COVID-19,etc | TAMP-S2GCNets (GCN,AR, Topological Features) | TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting | Code | ICLR 2022 |
| Multivariat | ETT Electricity Weather | CoST | CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting | Code
 | ICLR 2022 |
| Multivariat | Electricity Traffic M4 CASIO NP | DEPTS | DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting | Code
 | ICLR 2022 |
| Multivariat | ETT Electricity Wind App Flow | Pyraformer | Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting | Code
 | ICLR 2022 |
| Multivariat | ETT Electricity M4 Air Quality Nasdaq | RevIN | Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift | Code
 | ICLR 2022 |
| Multivariat | METR-LA PEMS-BAY PEMS04 PEMS08 | D2STGNN | Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting | Code
 | VLDB 2022 |
| Multivariat | METR-LA PEMS-BAY PEMS04 | STEP | Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting | Code
 | KDD 2022 |
| Multivariat | Solar Electricity Exchange Wind NYCBike NYCTaxi | ESG | Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting | Code
 | KDD 2022 |
| Multivariat | METR-LA Solar Traffic ECG5000 | VSF | Multi-Variate Time Series Forecasting on Variable Subsets | Code,dgl
 | KDD 2022 |
| Multivariat | DC Bike DC Taxi | CrossTReS | Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting | Code,dgl
 | KDD 2022 |
| Multivariat | ETT Weather Exchange Traffic Electricity | Quatformer | Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting | MRA-BGCN Author None Code | KDD 2022 |
| Multivariat | NYCBike NYCTaxi PEMS03 PEMS08 | GMSDR | MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting | Code
 | KDD 2022 |
| Multivariat | Hangzhou NYC | DTIGNN | Modeling Network-level Traffic Flow Transitions on Sparse Data | Code
 | KDD 2022 |
| Multivariat | Temperature Cloud cover Humidity Wind | CLCRN | Conditional Local Convolution for Spatio-temporal Meteorological Forecasting | Code
 | AAAI 2022 |
| Traffic Flow | PEMS03 PEMS04 PEMS07 PEMS08 PEMS07(M) PEMS07(L) | STG-NCDE | Graph Neural Controlled Differential Equations for Traffic Forecasting | Code
 | AAAI 2022 |
| Traffic Flow | GT-221 WRS-393 ZGC-564 | STDEN | STDEN: Towards Physics-guided Neural Networks for Traffic Flow Prediction | Code
 | AAAI 2022 |
| Multivariat | Electricity Traffic PEMS07(M) METR-LA | CATN | CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting | None | AAAI 2022 |
| Multivariat | ETT Electricity | TS2Vec | TS2Vec: Towards Universal Representation of Time Series | Code
 | AAAI 2022 |
| Multivariat | ETT Electricity Weather | Triformer | Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version | Code
 | IJCAI 2022 |
| Multivariat | PEMS03 PEMS04 PEMS07 PEMS08 | FOGS | FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting | Code
 | IJCAI 2022 |
| Multivariat | PEMS04 PEMS08 RPCM | RGSL | Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting | Code
 | IJCAI 2022 |
| Multivariat | Air Quality Parking | DMGA | Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention | None | IJCAI 2022 |
| Multivariat | YellowCab GreenCab Solar | ST-KMRN | Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data | Author | IJCAI 2022 |
| Multivariat | NYCTaxi NYCBike CHIBike BJTaxi Chengdu | STAN | When Transfer Learning Meets Cross-City Urban Flow Prediction: Spatio-Temporal Adaptation Matters | None | IJCAI 2022 |
| Multivariat | Hurricanes Ausgrid Weather | DeepExtrema | DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data | Code
 | IJCAI 2022 |
| Multivariat | GoogleSymp Covid19 Power Tweet | CAMul | CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting | Code
 | WWW 2022 |
| Multivariat | Electricity Stock | MRLF | Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction | Code
 | WWW 2022 |
Multivariat Classificat Forecasting | MuJoCo Google Stock | EXIT | EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting | Code
 | WWW 2022 |
| Traffic Flow | PEMS03 PEMS04 PEMS07 PEMS08 | ST-WA | Towards Spatio- Temporal Aware Traffic Time Series Forecasting | Code
 | ICDE 2022 |
Mobility Prediction | NYC Dallas Miami | SHIFT | Translating Human Mobility Forecasting through Natural Language Generation | Hao Xue | WSDM 2022 |
| Traffic Flow | TaxiBJ BikeNYC | ST-GSP | ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction | Code
 | WSDM 2022 |
| Multivariat | Traffic Temperature | ReTime | Retrieval Based Time Series Forecasting | None | CIKM 2022 |
| Multivariat | Rainfall Traffic ETT Stock Climate | DXtreMM | Deep Extreme Mixture Model for Time Series Forecasting | Code
 | CIKM 2022 |
MTS Analysis MTS Forecasting Anormaly Detection | ETT Electricity SMD SMAP MSL SWaT | MARINA | MARINA: An MLP-Attention Model for Multivariate Time-Series | None | CIKM 2022 |
| Traffic Speed | METR-LA PEMS-BAY | ResCAL | Residual Correction in Real-Time Traffic Forecasting | None | CIKM 2022 |
| Model Selection | | AutoForecast | AutoForecast: Automatic Time-Series Forecasting Model Selection | None | CIKM 2022 |
| Traffic Flow | PEMS04 PEMS07 PEMS08 | DastNet | Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities | Code
 | CIKM 2022 |
| Traffic Flow & Speed | METR-LA PEMS-BAY PEMS03 PEMS04 PEMS07 PEMS08 | AutoSTS | Automated Spatio-Temporal Synchronous Modeling with Multiple Graphs for Traffic Prediction | YongLi THU | CIKM 2022 |
| Traffic Condition | TRCV-BJ TRCV-SH TRCV-ZZ | DuTraffic | DuTraffic: Live Traffic Condition Prediction with Trajectory Data and Street Views at Baidu Maps | None | CIKM 2022 |
| Multivariat | ETT Electricity WTH Weather ILI Exchange | Linear | Do Simpler Statistical Methods Perform Better in Multivariate Long Sequence Time-Series Forecasting? | None | CIKM 2022 |
| Multivariat | Solar Traffic Electricity Exchange | MAGL | Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting | None | CIKM 2022 |
| Multivariat | PEMS04 PEMS07 PEMS08 PEMS-BAY Electricity | STID | Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting | Code
 | CIKM 2022 |
| Multivariat | METR-LA PEMS-BAY PEMS04 PEMS07 | ASTTN | Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting | None | CIKM 2022 |
| Multivariat | Seoul | CGAN | Context-aware Traffic Flow Forecasting in New Roads | None | CIKM 2022 |
| Traffic Flow & Speed | METR-LA PEMS-BAY PEMS-M PEMS04 PEMS08 | ST-GAT | ST-GAT: A Spatio-Temporal Graph Attention Network for Accurate Traffic Speed Prediction | Author | CIKM 2022 |
| Traffic Speed | METR-LA PEMS-BAY | HOMGNNs | Higher-Order Masked Graph Neural Networks for Traffic Flow Prediction | Code
 | ICDM 2022 |
| Multivariat | M4 Electricity car-parts | TopAttn | Topological Attention for Time Series Forecasting | Code
Future | NeurIPS 2021 |
| Multivariat | Rossmann M5 Wiki | MisSeq | MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data | None | NeurIPS 2021 |
| Multivariat | ETT Electricity Exchange Traffic Weather ILI | Autoformer | Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting | Code
 | NeurIPS 2021 |
| Multivariat | PEMS04 PEMS08 Traffic ADI M4 ,etc | Error | Adjusting for Autocorrelated Errors in Neural Networks for Time Series | Code
 | NeurIPS 2021 |
| Multivariat | Bytom Decentraland PEMS04 PEMS08 | Z-GCNETs | Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting | Code
 | ICML 2021 |
| Multivariat | PEMS07(M) METR-LA PEMS-BAY | Cov | Conditional Temporal Neural Processes with Covariance Loss | None | ICML 2021 |
| Multivariat | METR-LA PEMS-BAY PMU | GTS | Discrete Graph Structure Learning for Forecasting Multiple Time Series | Code
 | ICLR 2021 |
| Multivariat | Benz Air Quality FuelMoisture | framework | A Transformer-based Framework for Multivariate Time Series Representation Learning | Code
 | KDD 2021 |
| Federated Multivariat | PEMS-BAY METR-LA | CNFGNN | Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling | Code
 | KDD 2021 |
| Traffic Speed | PEMS04 PEMS08 England | DMSTGCN | Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting | Code
 | KDD 2021 |
| Traffic Flow | PEMS07(M) PEMS07(L) PEMS03 PEMS04 PEMS07 PEMS08 | STGODE | Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting | Code
 | KDD 2021 |
| Multivariat | BikeNYC PEMS07(M) Electricity | ST-Norm | ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting | Code
 | KDD 2021 |
| Multivariat | DiDiXM DiDiCD | TrajNet | TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction | None | KDD 2021 |
| Robust Forecasting | MIMIC-III USHCN KDD-CUP | DGM | Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series | Code
 | AAAI 2021 |
| Multivariat | Guangzhou Seattle HZMetro , etc. | DSARF | Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting | Code
 | AAAI 2021 |
| Traffic Speed | METR-LA PEMS-BAY | FC-GAGA | FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting | TF
 | AAAI 2021 |
| Traffic Speed | DiDiJiNan DiDiXiAn | HGCN | Hierarchical Graph Convolution Network for Traffic Forecasting | Code
 | AAAI 2021 |
| Multivariat | ETT Weather Electricity | Informer | Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting | Code
 | AAAI 2021 |
| Traffic Flow | NYCMetro NYC Bike NYC Taxi | MOTHER | Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction | None | AAAI 2021 |
| Multivariat | METR-LA PEMS-BAY PEMS07(M) PEMS07(L) PEMS03 PEMS04 PEMS07 PEMS08 | STFGNN | Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting | Mxnet
 | AAAI 2021 |
| Multivariat | BJ Taxi NYC Taxi NYC Bike1 NYC Bike2 | STGDN | Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network | Mxnet
 | AAAI 2021 |
| Traffic Flow | SG-TAXI | TrGNN | Traffic Flow Prediction with Vehicle Trajectories | Code
 | AAAI 2021 |
| Multivariat | Road POIs SIGtraf | DMLM | Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach | Future | IJCAI 2021 |
| Multivariat | East Bay METR-LA US | D-DA-GRNN | EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting | Code
 | ICDE 2021 |
| Multivariat | Water Humidity Wind, etc | EA-DRL | An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting | None | ICDE 2021 |
| Traffic Flow | TaxiBJ DiDiCD TaxiRome | AttConvLSTM | Modeling Citywide Crowd Flows using Attentive Convolutional LSTM | None | ICDE 2021 |
Traffic Speed Traffic Flow | METR-LA PEMS-BAY eMS03 PEMS04 PEMS07 PEMS08... | Benchmark | An Empirical Experiment on Deep Learning Models for Predicting Traffic Data | Future | ICDE 2021 |
| Multivariat | Motes Soil Revenue Traffic 20CR | NET | Network of Tensor Time Series | Code
 | WWW 2021 |
| Multivariat | VevoMusic WikiTraffic LOS-LOOP SZ-taxi | Radflow | Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series | Code
 | WWW 2021 |
| Multivariat | METR-LA Wiki-EN | REST | REST: Reciprocal Framework for Spatiotemporal-coupled Predictions | None | WWW 2021 |
| Multivariat | PEMS03 PEMS04 PEMS07 PEMS08 HZMetro | ASTGNN | Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting | Code
 | TKDE 2021 |
| Multivariat | TaxiBJ BikeNYC-I BikeNYC-II TaxiNYC METR-LA PEMS-BAY PEMS07(M) | DL-Traff | DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction | Graph:Code Grid:TF
 | CIKM 2021 |
| Multivariat | METR-LA PEMS-BAY PEMS07(M) | TorchGeoTem | Code Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models | Code | CIKM 2021 |
| Traffic Flow | TaxiBJ BikeNYC | LLF | Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction | None | CIKM 2021 |
| Multivariat | ETT Electricity | HI | Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting | None | CIKM 2021 |
| Multivariat | ETT ELE | AGCNT | AGCNT: Adaptive Graph Convolutional Network for Transformer-based Long Sequence Time-Series Forecasting | None | CIKM 2021 |
| Cellular Traffic | cellular | MPGAT | Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic | Code
Future | CIKM 2021 |
| Traffic Speed | METR-LA PEMS-BAY Simulated | STNN | Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting | Code
 | ICDM 2021 |
| Traffic Speed | DiDiCD DiDiXiAn | T-wave | Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting | Code
 | ICDM 2021 |
| Multivariat | Sanyo Hanergy Solar Electricity Exchange | SSDNet | SSDNet: State Space Decomposition Neural Network for Time Series Forecasting | Code
 | ICDM 2021 |
| Traffic Volumn | HangZhou City JiNan City | CTVI | Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference | Code
 | ICDM 2021 |
| Traffic Volumn | Uber Movements Grab-Posisi | TEST-GCN | TEST-GCN: Topologically Enhanced Spatial-Temporal Graph Convolutional Networks for Traffic Forecasting | None | ICDM 2021 |
| Multivariat | Air Quality City Meterology | ATGCN | Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction | None | WSDM 2021 |
| Traffic Flow | WalkWLA BikeNYC TaxiNYC | PDSTN | Predicting Crowd Flows via Pyramid Dilated Deeper Spatial-temporal Network | None | WSDM 2021 |
| Traffic Flow | PEMS04 PEMS08 | AGCRN | Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting | Code
 | NeurIPS 2020 |
| Multivariat | Electricity Traffic Wind Solar M4-Hourly | AST | Adversarial Sparse Transformer for Time Series Forecasting | Code
 | NeurIPS 2020 |
| Multivariat | METR-LA PEMS-BAY PEMS07 PEMS03 PEMS04 ,etc | StemGNN | Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting | Code
 | NeurIPS 2020 |
| Multivariat | M4 M3 Tourism | N-BEATS | N-BEATS: Neural basis expansion analysis for interpretable time series forecasting | Code+Keras
 | ICLR 2020 |
| Traffic Flow | Traffic Energy Electricity Exchange METR-LA PEMS-BAY | MTGNN | Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks | Code
 | KDD 2020 |
| Traffic Flow | Taxi-NYC Bike-NYC CTM | DSAN | Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction | TF
 | KDD 2020 |
Traffic Speed Traffic Flow | Shenzhen | Curb-GAN | Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks | Code
 | KDD 2020 |
| Traffic Flow | TaxiBJ CrowdBJ TaxiJN TaxiGY | AutoST | AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction | None | KDD 2020 |
| Traffic Volumn | W3-715 E5-2907 | HSTGCN | Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data | None | KDD 2020 |
| Multivariat | Xiamen PEMS-BAY | GMAN | GMAN: A Graph Multi-Attention Network for Traffic Prediction | TF
Code | AAAI 2020 |
| Multivariat | PEMS03 PEMS04 PEMS07 PEMS08 | STSGCN | Spatial-temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data forecasting | Mxnet
Code
 | AAAI 2020 |
| Multivariat | Traffic Energy NASDAQ | MLCNN | Towards Better Forecasting by Fusing Near and Distant Future Visions | Code
 | AAAI 2020 |
| Multivariat | PEMS-S PEMS-BAY METR-LA BJF BRF BRF-L | SLCNN | Spatio-temporal graph structure learning for traffic forecasting | None | AAAI 2020 |
| Traffic Speed | METR-LA PEMS-BAY | MRA-BGCN | Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting | None | AAAI 2020 |
| Metro Flow | HKMetro | WDGTC | Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction | TF
 | AAAI 2020 |
| Multivariat | MovingMNIST TaxiBJ KTH | SA-ConvLSTM | Self-Attention ConvLSTM for Spatiotemporal Prediction | TF
Code | AAAI 2020 |
| Metro Flow | SydneyMetro | MLC-PPF | Potential Passenger Flow Prediction-A Novel Study for Urban Transportation Development | None | AAAI 2020 |
| Commuting Flow | Lodes Pluto OSRM | GMEL | Learning Geo-Contextual Embeddings for Commuting Flow Prediction | Code
 | AAAI 2020 |
| Multivariat | Traffic Exchange Solar | DeepTrends | Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series | TF
 | AAAI 2020 |
| Multivariat | Traffic Electricity SmokeVideo PCSales RawMaterials | BHT | Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting | Python
 | AAAI 2020 |
| Traffic Speed | PEMS04 PEMS07 PEMS08 | LSGCN | LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks | TF
 | IJCAI 2020 |
| Traffic Flow | BikeNYC MobileBJ | CSCNet | A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling | None | IJCAI 2020 |
| Multivariat | USDCNY USDKRW USDIDR | WATTNet | WATTNet: learning to trade FX via hierarchical spatio-temporal representation of highly multivariate time series | TF
 | IJCAI 2020 |
| Fine-grained | CitiBikeNYC Div Metro | GACNN | Towards Fine-grained Flow Forecasting: A Graph Attention Approach for Bike Sharing Systems | None | WWW 2020 |
Flow Distribution | Austin Louisville Minneapolis | GCScoot | Dynamic Flow Distribution Prediction for Urban Dockless E-Scooter Sharing Reconfiguration | None | WWW 2020 |
| Traffic Speed | METR-LA PEMS-BAY | STGNN | Traffic Flow Prediction via Spatial Temporal Graph Neural Network | Code
 | WWW 2020 |
| Traffic Speed | DiDiCD | STAG-GCN | Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting | Code
 | CIKM 2020 |
| Traffic Speed | METR-LA PEMS-BAY | ST-GRAT | ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed | Code
 | CIKM 2020 |
| Traffic Flow | BJ-Taxi NYC-Taxi NYC-Bike-1 NYC-Bike-2 | ST-CGA | Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting | Keras
 | CIKM 2020 |
| Traffic Flow | NYCBike NYCTaxi | MT-ASTN | Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction | Code
 | CIKM 2020 |
| Traffic Speed | SFO NYC | DIGC | Deep Graph Convolutional Networks for Incident-Driven Traffic Speed Prediction | None | CIKM 2020 |
| Metro Flow | SZMetro HZMetro | STP-TrellisNets | STP-TrellisNets: Spatial-Temporal Parallel TrellisNets for Metro Station Passenger Flow Prediction | None | CIKM 2020 |
| Multivariat | Air Quality BikeNYC METR-LA | AGSTN | AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting | Keras
 | ICDM 2020 |
| Traffic Speed | METR-LA PEMS-BAY | FreqST | FreqST: Exploiting Frequency Information in Spatiotemporal Modeling for Traffic Prediction | None | ICDM 2020 |
| Traffic Flow | PEMS03 PEMS07 | TSSRGCN | Tssrgcn: Temporal spectral spatial retrieval graph convolutional network for traffic flow forecasting | None | ICDM 2020 |
| Multivariat | Air Quality DarkSky Geographic | DeepLATTE | Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction | Code
 | ICDM 2020 |
| Traffic Flow | XATaxi BJTaxi PortoTaxi | ST-PEFs | Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction Based on Potential Energy Fields | None | ICDM 2020 |
Traffic Speed Flow | SZSpeed SZTaxi | cST-ML | cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction | Code
 | ICDM 2020 |
| Multivariat | Electricity Traffic Wiki PEMS07(M) | DeepGLO | Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting | Code
 | NeurIPS 2019 |
| Multivariat | Electricity Traffic Solar M4 Wind | LogSparse | Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting | Code
 | NeurIPS 2019 |
| Multivariat | Synthetic ECG5000 Traffic | DILATE | Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models | Code
 | NeurIPS 2019 |
| Traffic Flow | Earthquake | DeepUrbanEvent | DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events | Keras
 | KDD 2019 |
Traffic Flow Speed | TDrive METR-LA | ST-MetaNet | Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning | Mxnet
 | KDD 2019 |
| Multivariat | Rossman Walmart Electricity Traffic Parts | ARU | Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units | TF
 | KDD 2019 |
| Multivariat | Air Quality | AccuAir | AccuAir: Winning Solution to Air Quality Prediction for KDD Cup 2018 | None | KDD 2019 |
| Traffic Flow | Simulated RoadTraffic Wikipedia | ERMreg | Regularized Regression for Hierarchical Forecasting Without Unbiasedness Conditions | None | KDD 2019 |
Multivariat under event | Climate Stock Pseudo | EVL | Modeling Extreme Events in Time Series Prediction | None | KDD 2019 |
| Traffic Flow | PEMS04 PEMS08 METR-LA | ASTGCN | Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting | Mxnet
 | AAAI 2019 |
Traffic Flow Speed | NYC PEMS0(M) | DGCNN | Dynamic spatial-temporal graph convolutional neural networks for traffic forecasting | None | AAAI 2019 |
| Traffic FLow | NYC-Taxi NYC-Bike | STDN | Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction | Keras
 | AAAI 2019 |
| Traffic Flow | MobileBJ BikeNYC | DeepSTN+ | DeepSTN+: context-aware spatial-temporal neural network for crowd flow prediction in metropolis | TF
 | AAAI 2019 |
| Traffic Speed | METR-LA PEMS-BAY | Res-RGNN | Gated residual recurrent graph neural networks for traffic prediction | None | AAAI 2019 |
| Traffic FLow | MetroBJ BusBJ TaxiBJ | GSTNet | GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction | Code
 | IJCAI 2019 |
| Traffic Speed | METR-LA PEMS-BAY | GWN | Graph WaveNet for Deep Spatial-Temporal Graph Modeling | Code
 | IJCAI 2019 |
| Traffic Flow | DidiSY BikeNYC TaxiBJ | STG2Seq | STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting | TF
 | IJCAI 2019 |
| Multivariat | GHL Electricity TEP | DyAt | DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems | Code
 | IJCAI 2019 |
| Multivariat | Air Quality | MGED | Multi-Group Encoder-Decoder Networks to Fuse Heterogeneous Data for Next-Day Air Quality Prediction | None | IJCAI 2019 |
| Traffic Volumn | Chicago Boston | MetaST | Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction | TF
 | WWW 2019 |
TrafficPred imputation | GZSpeed HZMetro Seattle London | BTF | Bayesian Temporal Factorization for Multidimensional Time Series Prediction | Python
 | TPAMI 2019 |
| Multivariat | Gas Station | DSANet | DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting | Code
 | CIKM 2019 |
| Multivariat | Solar Traffic Exchange Electricity PEMS ,etc | Study | Experimental Study of Multivariate Time Series Forecasting Models | None | CIKM 2019 |
| Traffic Speed | DiDiCD DiDiXA | BTRAC | Boosted Trajectory Calibration for Traffic State Estimation | None | ICDM 2019 |
| Multivariat | Photovoltaic | MTEX-CNN | MTEX-CNN: Multivariate Time Series EXplanations for Predictions with Convolutional Neural Networks | Code
 | ICDM 2019 |
| Traffic Speed | BJER4 PEMS07(M) PEMS07(L) | STGCN | Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting | TF
Mxnet Code1
Code2 Code3
 | IJCAI 2018 |
| Traffic Speed | METR-LA PEMS-BAY | DCRNN | Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting | TF
Code | ICLR 2018 |