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 (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025)

DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting - Xiangfei Qiu; Xingjian Wu; Yan Lin; Chenjuan Guo; Jilin Hu; Bin Yang (Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, KDD 2025, Toronto, ON, Canada, August 3-7, 2025, 2025)

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 (CoRR, 2025)

Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline - Xvyuan Liu; Xiangfei Qiu; Xingjian Wu; Zhengyu Li; Chenjuan Guo; Jilin Hu; Bin Yang (CoRR, 2025)

K\(^2\)VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting - Xingjian Wu; Xiangfei Qiu; Hongfan Gao; Jilin Hu; Bin Yang; Chenjuan Guo (CoRR, 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; et al. (CoRR, 2025)

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 (Proc. VLDB Endow., 2024)

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 J., 2024)

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 (CoRR, 2024)

FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting - Zhe Li; Xiangfei Qiu; Peng Chen; Yihang Wang; Hanyin Cheng; Yang Shu; Jilin Hu; Chenjuan Guo; Aoying Zhou; Qingsong Wen; Christian S. Jensen; Bin Yang (CoRR, 2024)

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 (CoRR, 2024)

DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone - Hongfan Gao; Wangmeng Shen; Xiangfei Qiu; Ronghui Xu; Jilin Hu; Bin Yang (CoRR, 2024)

MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast - Shiyan Hu; Kai Zhao; Xiangfei Qiu; Yang Shu; Jilin Hu; Bin Yang; Chenjuan Guo (CoRR, 2024)

DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting - Xiangfei Qiu; Xingjian Wu; Yan Lin; Chenjuan Guo; Jilin Hu; Bin Yang (CoRR, 2024)

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; et al. (CoRR, 2024)