Accepted Papers
Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline
Xvyuan Liu*, Xiangfei Qiu*, Xingjian Wu*, Zhengyu Li, Chenjuan Guo, Jilin Hu#, Bin Yang
Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence (AAAI), 2026. CCF A.
Accepted as an Oral paper (Top 4%).
Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective
Xingjian Wu, Xiangfei Qiu, Hanyin Cheng, Zhengyu Li, Jilin Hu, Chenjuan Guo, Bin Yang#
Conference on Neural Information Processing Systems (NeurIPS), 2025. CCF A.
Accepted as a Spotlight poster (Top 3.2%).
Decomposition-based Loss Function for Time Series Forecasting
Xiangfei Qiu, Xingjian Wu, Hanyin Cheng, Xvyuan Liu, Chenjuan Guo, Jilin Hu#, Bin Yang
Conference on Neural Information Processing Systems (NeurIPS), 2025. CCF A.
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.
Accepted as a Spotlight poster (Top 2.6%).
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.
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*.
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.
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.
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.
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.
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.
Best Research Paper Award Nomination of PVLDB 2024.Preprints
Aurora: Towards Universal Generative Multimodal Time Series Forecasting
Xingjian Wu, Jianxin Jin, Wanghui Qiu, Peng Chen, Yang Shu, Bin Yang, Chenjuan Guo#
arXiv preprint, 2025.
Unlocking the Power of Mixture-of-Experts for Task-Aware Time Series Analytics
Xingjian Wu, Zhengyu Li, Hanyin Cheng, Xiangfei Qiu, Jilin Hu, Chenjuan Guo, Bin Yang#
arXiv preprint, 2025.
Xiangfei Qiu, Liu Yang, Hanyin Cheng, Xingjian Wu, Rongjia Wu, Zhigang Zhang, Ding Tu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Jilin Hu#
arXiv preprint, 2025.
Xvyuan Liu, Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu#
arXiv preprint, 2025.
DAG: A Dual Causal Network for Time Series Forecasting with Exogenous Variables
Xiangfei Qiu, Yuhan Zhu, Zhengyu Li, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu#
arXiv preprint, 2025.
Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Jilin Hu, Chenjuan Guo
arXiv preprint, 2025.
*Equal Contribution, # Corresponding Author. More working drafts / preprints under review will be released later ⌛️