K²VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting

Xingjian Wu*, Xiangfei Qiu*, Hongfan Gao, Jilin Hu, Bin Yang#, Chenjuan Guo

International Conference on Machine Learning (ICML), 2025. CCF A.

[Paper] | [Slides] | [Project]

Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline

Xvyuan Liu*, Xiangfei Qiu*, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Jilin Hu#, Bin Yang

arXiv preprint, 2025.

TAB: Unified Benchmarking of Time Series Anomaly Detection Methods

Xiangfei Qiu, Zhe Li, Wanghui Qiu, Shiyan Hu, Lekui Zhou, Xingjian Wu, Zhengyu Li Chenjuan Guo, Aoying Zhou, Zhenli Sheng, Jilin Hu#, Christian S. Jensen, Bin Yang

International Conference on Very Large Databases (PVLDB), 2025. CCF A.

[Paper] | [Project]

CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching

Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang#

International Conference on Learning Representations (ICLR), 2025. CORE A*.

[Paper] | [Slides] | [Project]

A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective

Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Jilin Hu, Chenjuan Guo

arXiv preprint, 2025.

[Paper] | [Project]

EasyTime: Time Series Forecasting Made Easy

Xiangfei Qiu*, Xiuwen Li*, Ruiyang Pang*, Zhicheng Pan*, Xingjian Wu*, Liu Yang*, Jilin Hu, Yang Shu, Xuesong Lu, Chengcheng Yang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen and Bin Yang#.

IEEE International Conference on Data Engineering (ICDE), 2025. CCF A.

[Paper] | [Project]

DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting

Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu#, Bin Yang

ACM Knowledge Discovery and Data Mining (SIGKDD), 2025. CCF A.

[Paper] | [Project]

FACTS: Fully Automated Correlated Time Series Forecasting in Minutes

Xinle Wu, Xingjian Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang#, Christian S. Jensen

International Conference on Very Large Databases (PVLDB), 2025. CCF A.

[Paper] | [Project]

AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting

Xinle Wu*, Xingjian Wu*, Bin Yang#, Lekui Zhou, Chenjuan Guo, Xiangfei Qiu, Jilin Hu, Zhenli Sheng, Christian S. Jensen

VLDB Journal (VLDBJ), 2024. CCF A.

[Paper] | [Project]

TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

Xiangfei Qiu, Jilin Hu#, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang

International Conference on Very Large Databases (PVLDB), 2024. CCF A.

[Paper] | [Project]