Time-Series Works and Conferences

Backlog (To do): KDD 2024, ICML 2024, IJCAI 2024 ...

Visit our GitHub Page for a better view.

<a href="#Conferences">Click here to jump to the Conferences page with more conference information.</a>

or AI ML Summary Github

Some other nice time-series repositories:

xiyuanzh/time-series-papers

qingsongedu/awesome-AI-for-time-series-papers

xuehaouwa/Awesome-Trajectory-Prediction

My Time-series Repo-Star List

I have a strong interest in time-series research. Welcome to contact me for discussions and collaborative efforts. <br> I am currently pursuing a doctoral degree in CSE of UNSW, Sydney, under the supervision of Prof. Flora Salim and Hao Xue. I got the master degree under the supervision of Prof. Xuan Song, Quanjun Chen and Renhe Jiang.

The task section has been completed and we will continue to update the methodology section. If you encounter any missing resources (papers/code) or errors, please don't hesitate to open an issue or make a pull request. Additionally, if you're interested in collaborating on this work, please feel free to contact me.

All papers are organized by task and methodology, including those not included in this GitHub repository, and are available for everyone to use on OneDrive and Google Drive (VPN required). The methodology section is still in progress.

OneDrive

Google Drive

To reduce repetition, some data are in abbreviated form. Some terms may not represent general interpretations and apply only to this repository.

Full Name	Abbreviation
Adaptive GNN	AGNN
Attention	Attn
AutoRegression(RNN,GRU,LSTM)	AR
Controlled Differential Equations	CDE
Contrastive Learning	CL
Encoder Decoder	EncDec
Ensemble	Ens
Feature Decomposed	FeaD
Federated Learning	FL
Generative Adversarial Network	GAN
Graph Convolutional Network	GCN
Hour, Day, Week, Month, etc	HA
Heterogeneous GNN	HGNN
Multiple Graph	MGNN
Memory	Mem
Meta Learning	MetaL
MultiTask	MulT
Network Architechture Search	NAS
Ordinary Differential Equations	ODE
Statistic	Stat
TCN (WaveNet)	TCN
Temporal Graph Network	TGN
Transformer	Trans
Transfer Learning	TransL
Variational Auto-Encoder	VAE

Recent Time Series Works Grouped by Task

<a href = "#Multivariable-Time-Series-Forecasting">Multivariable Time Series Forecasting</a>
<a href = "#Multivariable-Probabilistic-Time-Series-Forecasting">Multivariable Probabilistic Time Series Forecasting</a>
<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">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>
<a href = "#Stock-Prediction">Stock Prediction</a>
<a href = "#Other-Forecasting">Other Forecasting</a>

Multivariable Time Series Forecasting

Task	Data	Model	Paper	Code	Publication
Paper Nums:100+	<img width=150/>	<img width=220/>			<img width=300/>
Multivariable	TimesNet_data	SparseTSF	SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters	Pytorch <br> <br>	ICML 2024
Multivariable	Electricity <br> PEMSD7M <br> BikeNYC <br> TimesNet_data	SCNN	Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting	Pytorch <br> <br>	TKDE 2024
Multivariable	TimesNet_data	iTransformer	iTransformer: Inverted Transformers Are Effective for Time Series Forecasting	Pytorch <br> <br>	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	None	ICLR 2024
Multivariable	ETT <br> Electricity <br> Weather <br> Traffic <br> Exchange <br> ILI	ModernTCN	Multi-Resolution Diffusion Models for Time Series Forecasting	Pytorch <br> <br>	ICLR 2024
Multivariable	TimesNet_data	Time-LLM	Time-LLM: Time Series Forecasting by Reprogramming Large Language Models	Pytorch <br> <br>	ICLR 2024
Multivariable	TimesNet_data	TEMPO	TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting	Pytorch <br> <br>	ICLR 2024
Multivariable	TimesNet_data	CARD	CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting	Pytorch <br> <br>	ICLR 2024
Multivariable	TimesNet_data	ARM	ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning	None	ICLR 2024
Multivariable	TimesNet_data	DAM	DAM: Towards a Foundation Model for Forecasting	None	ICLR 2024
Multivariable	TimesNet_data <br> PEMS3478	TimeMixer	TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting	Pytorch <br> <br>	ICLR 2024
Multivariable	TimesNet_data	PDF	Periodicity Decoupling Framework for Long-term Series Forecasting	Pytorch <br> <br>	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	Pytorch <br> <br>	ICLR 2024
Multivariable	TimesNet_data <br> PEMS08	LIFT	Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators	Pytorch <br> <br>	ICLR 2024
Multivariable	ETT <br> Weather <br> ILI <br> Traffic	STanHop	STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction