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# Time-Series Works and Conferences

# Backlog (To do): WWW 2024, ICLR 2024, WSDM 2024...
# Backlog (To do): AAAI 2024, WWW 2024, ICLR 2024, WSDM 2024...

**Visit our [GitHub Page](https://lixus7.github.io/Time-Series-Works-Conferences/) for a better view.**

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- <a href = "#Time-Series-Imputation">Time Series Imputation</a>
- <a href = "#Time-Series-Anomaly-Detection">Time Series Anomaly Detection</a>
- <a href = "#Demand-Prediction">Demand Prediction</a>
- <a href = "#Time Series Generation">Demand Prediction</a>
- <a href = "#Time Series Generation">Time Series Generation</a>
- <a href = "#Travel-Time-Estimation">Travel Time Estimation</a>
- <a href = "#Traffic-Location-Prediction">Traffic Location Prediction</a>
- <a href = "#Event-Prediction">Event Prediction</a>
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| :-: | :-: | :-: | :-: | :-: | - |
| Paper Nums:100+ | <img width=150/> | <img width=220/> | | | <img width=300/> |
| Multivariable | Electricity <br> PEMSD7M <br> BikeNYC <br> [TimesNet_data](https://github.com/thuml/Time-Series-Library) | SCNN | [Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting](https://ieeexplore.ieee.org/document/10457027) | [Pytorch](https://github.com/JLDeng/SCNN) <br>![Stars](https://img.shields.io/github/stars/JLDeng/SCNN?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/JLDeng/SCNN?color=critical&style=social) | TKDE 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | iTransformer | [iTransformer: Inverted Transformers Are Effective for Time Series Forecasting](https://openreview.net/forum?id=JePfAI8fah) | [Pytorch](https://github.com/thuml/iTransformer) <br>![Stars](https://img.shields.io/github/stars/thuml/iTransformer?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/thuml/iTransformer?color=critical&style=social) | ICLR 2024
| Multivariable | NorPool <br> Caiso <br> Traffic <br> Electricity <br> Weather <br> Exchange <br> ETT <br> Wind | mr-Diff | [ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis](https://openreview.net/forum?id=mmjnr0G8ZY) | None | ICLR 2024
| Multivariable | ETT <br> Electricity <br> Weather <br> Traffic <br> Exchange <br> ILI | ModernTCN | [Multi-Resolution Diffusion Models for Time Series Forecasting](https://openreview.net/forum?id=vpJMJerXHU) | [Pytorch](https://github.com/luodhhh/ModernTCN) <br>![Stars](https://img.shields.io/github/stars/luodhhh/ModernTCN?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/luodhhh/ModernTCN?color=critical&style=social) | ICLR 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | Time-LLM | [Time-LLM: Time Series Forecasting by Reprogramming Large Language Models](https://openreview.net/forum?id=Unb5CVPtae) | [Pytorch](https://github.com/KimMeen/Time-LLM) <br>![Stars](https://img.shields.io/github/stars/KimMeen/Time-LLM?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/KimMeen/Time-LLM?color=critical&style=social) | ICLR 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | TEMPO | [TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting](https://openreview.net/forum?id=YH5w12OUuU) | [Pytorch](https://github.com/DC-research/TEMPO) <br>![Stars](https://img.shields.io/github/stars/DC-research/TEMPO?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/DC-research/TEMPO?color=critical&style=social) | ICLR 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | CARD | [CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting](https://openreview.net/forum?id=MJksrOhurE) | [Pytorch](https://github.com/wxie9/CARD) <br>![Stars](https://img.shields.io/github/stars/wxie9/CARD?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/wxie9/CARD?color=critical&style=social) | ICLR 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | ARM | [ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning](https://openreview.net/forum?id=JWpwDdVbaM) | None | ICLR 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | DAM | [DAM: Towards a Foundation Model for Forecasting](https://openreview.net/forum?id=4NhMhElWqP) | [None](https://openreview.net/attachment?id=4NhMhElWqP&name=supplementary_material) | ICLR 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) <br> PEMS3478 | TimeMixer | [TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting](https://openreview.net/forum?id=7oLshfEIC2) | [Pytorch](https://github.com/kwuking/TimeMixer) <br>![Stars](https://img.shields.io/github/stars/kwuking/TimeMixer?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/kwuking/TimeMixer?color=critical&style=social) | ICLR 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | PDF | [Periodicity Decoupling Framework for Long-term Series Forecasting](https://openreview.net/forum?id=dp27P5HBBt) | [Pytorch](https://github.com/Hank0626/PDF) <br>![Stars](https://img.shields.io/github/stars/Hank0626/PDF?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/Hank0626/PDF?color=critical&style=social) | ICLR 2024
| Multivariable <br> Missing Value| METR-LA <br> Electricity <br> PEMS <br> ETT <br> BeijingAir| BiTGraph | [Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values](https://openreview.net/forum?id=O9nZCwdGcG) | [Pytorch](https://github.com/chenxiaodanhit/BiTGraph) <br>![Stars](https://img.shields.io/github/stars/chenxiaodanhit/BiTGraph?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/chenxiaodanhit/BiTGraph?color=critical&style=social) | ICLR 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) <br> PEMS08 | LIFT | [Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators](https://openreview.net/forum?id=JiTVtCUOpS) | [Pytorch](https://github.com/SJTU-Quant/LIFT) <br>![Stars](https://img.shields.io/github/stars/SJTU-Quant/LIFT?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/SJTU-Quant/LIFT?color=critical&style=social) | ICLR 2024
| Multivariable | ETT <br> Weather <br> ILI <br> Traffic | STanHop | [STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction](https://openreview.net/forum?id=6iwg437CZs) | [Pytorch](https://github.com/MAGICS-LAB/STanHop) <br>![Stars](https://img.shields.io/github/stars/MAGICS-LAB/STanHop?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/MAGICS-LAB/STanHop?color=critical&style=social) | ICLR 2024
| Multivariable | ETT <br> Weather <br> Electricity <br> Traffic <br> ILI <br> CloudCluster | Pathformer | [Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting](https://openreview.net/forum?id=vpJMJerXHU) | [Pytorch](https://github.com/decisionintelligence/pathformer) <br>![Stars](https://img.shields.io/github/stars/decisionintelligence/pathformer?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/decisionintelligence/pathformer?color=critical&style=social) | ICLR 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | pits | [Learning to Embed Time Series Patches Independently](https://openreview.net/forum?id=vpJMJerXHU) | [Pytorch](https://github.com/seunghan96/pits) <br>![Stars](https://img.shields.io/github/stars/seunghan96/pits?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/seunghan96/pits?color=critical&style=social) | ICLR 2024
| Multivariable | ETT <br> Weather <br> Electricity <br> Traffic | FITS | [FITS: Modeling Time Series with 10k Parameters](https://openreview.net/forum?id=bWcnvZ3qMb) | [Pytorch](https://github.com/VEWOXIC/FITS) <br>![Stars](https://img.shields.io/github/stars/VEWOXIC/FITS?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/VEWOXIC/FITS?color=critical&style=social) | ICLR 2024
| Multivariable | ETT <br> Electricity <br> Weather <br> Lora | AutoTCL | [Parametric Augmentation for Time Series Contrastive Learnin](https://openreview.net/forum?id=EIPLdFy3vp) | [Pytorch](https://github.com/AslanDing/AutoTCL) <br>![Stars](https://img.shields.io/github/stars/AslanDing/AutoTCL?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/AslanDing/AutoTCL?color=critical&style=social) | ICLR 2024
| Multivariable | ETT <br> Exchange <br> ILI | GLIP | [Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction](https://openreview.net/forum?id=aFWUY3E7ws) | [Pytorch](https://openreview.net/attachment?id=aFWUY3E7ws&name=supplementary_material) | ICLR 2024
| Multivariable | Ross <br> Saratoga <br> UpperPen <br> SFC | DAN | [Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/27768) | [Pytorch](https://github.com/davidanastasiu/dan) <br>![Stars](https://img.shields.io/github/stars/davidanastasiu/dan?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/davidanastasiu/dan?color=critical&style=social) | AAAI 2024
| Multivariable | ILI <br> Weather <br> Traffic <br> Electricity <br> ETT <br> Exchange | HDMixer | [HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/29155) | [Pytorch](https://github.com/hqh0728/HDMixer) <br>![Stars](https://img.shields.io/github/stars/hqh0728/HDMixer?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/hqh0728/HDMixer?color=critical&style=social) | AAAI 2024
| Multivariable | PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08 <br> England <br> TaxiBJ <br> PEMS-BAY | STPGNN | [Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/28707) | None | AAAI 2024
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| Task | Data | Model | Paper | Code | Publication |
| :-: | :-: | :-: | :-: | :-: | - |
| Paper Nums:40+ | <img width=150/> | <img width=220/> | | | <img width=300/> |
| probability | Exchange <br> ILI <br> ETT <br> Electricity <br> Traffic <br> Weather | TMDM | [Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting](https://openreview.net/forum?id=qae04YACHs) | None | ICLR 2024
| probability | Exchange <br> Solar <br> Electricity <br> Traffic <br> Taxi <br> Wikipedia | VQ-TR | [VQ-TR: Vector Quantized Attention for Time Series Forecasting](https://openreview.net/forum?id=IxpTsFS7mh) | None | ICLR 2024
| Conformer | COVID-19 | CopulaCPTS | [Copula Conformal prediction for multi-step time series prediction](https://epubs.siam.org/doi/abs/10.1137/1.9781611977653.ch54) | [Pytorch](hhttps://github.com/Rose-STL-Lab/CopulaCPTS) <br>![Stars](https://img.shields.io/github/stars/Rose-STL-Lab/CopulaCPTS?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/Rose-STL-Lab/CopulaCPTS?color=critical&style=social) | ICLR 2024
| probability | Solar <br> Electricity <br> Traffic <br> Taxi <br> Wikipedia | LDT | [ Latent Diffusion Transformer for Probabilistic Time Series Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/29085) | None | AAAI 2024
| probability | Solar <br> Electricity <br> Traffic <br> Exchange <br> M4-Hourly <br> UberTLC <br> KDDCup <br> Wikipedia | TSDiff | [Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting](https://proceedings.neurips.cc/paper_files/paper/2023/hash/5a1a10c2c2c9b9af1514687bc24b8f3d-Abstract-Conference.html) | [GluonTS](https://github.com/amazon-science/unconditional-time-series-diffusion) <br>![Stars](https://img.shields.io/github/stars/amazon-science/unconditional-time-series-diffusion?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/amazon-science/unconditional-time-series-diffusion?color=critical&style=social) | NIPS 2023
| Quantile | Electricity <br> Kaggle <br> M4-daily <br> Traffic <br> Wiki | Ensemble | [Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting](https://proceedings.mlr.press/v202/hasson23a.html) | None | ICML 2023
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| Task | Data | Model | Paper | Code | Publication |
| :-: | :-: | :-: | :-: | :-: | - |
| Paper Nums: 2 | <img width=90/> | | | | <img width=320/> |
| TS Generation | FRED-MD <br> NN5 Daily <br> Temp Rain <br> Solar Weekly | Diffusion-TS | [Diffusion-TS: Interpretable Diffusion for General Time Series Generation](https://openreview.net/forum?id=4h1apFjO99) | [Pytorch](https://github.com/thuwuyinjun/DGM2) <br>![Stars](https://img.shields.io/github/stars/thuwuyinjun/DGM2?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/thuwuyinjun/DGM2?color=critical&style=social) | ICLR 2024
| TS Generation | FRED-MD <br> NN5 Daily <br> Temp Rain <br> Solar Weekly | LS4 | [Deep Latent State Space Models for Time-Series Generation](https://proceedings.mlr.press/v202/zhou23i.html) | [Pytorch](https://github.com/thuwuyinjun/DGM2) <br>![Stars](https://img.shields.io/github/stars/thuwuyinjun/DGM2?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/thuwuyinjun/DGM2?color=critical&style=social) | ICML 2023
| TS Generation | He ́non maps <br> Lorenz <br> fMRI <br> EEG| CR-VAE | [Causal Recurrent Variational Autoencoder for Medical Time Series Generation](https://ojs.aaai.org/index.php/AAAI/article/view/26031) | [Pytorch](https://github.com/hongmingli1995/CR-VAE) <br>![Stars](https://img.shields.io/github/stars/hongmingli1995/CR-VAE?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/hongmingli1995/CR-VAE?color=critical&style=social) | AAAI 2023
| TS Generation | ETTh1 <br> ETTh2 <br> US Births <br> ILI| AEC-GAN | [AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation](https://ojs.aaai.org/index.php/AAAI/article/view/26208) | [Pytorch](https://github.com/hongmingli1995/CR-VAE) <br>![Stars](https://img.shields.io/github/stars/hongmingli1995/CR-VAE?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/hongmingli1995/CR-VAE?color=critical&style=social) | AAAI 2023
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