🏷 About
Educational Experience
2016 - 2019 | High School Affiliated to Fudan University
2019 - 2023 | School of Computer Engineering and Science, Shanghai University
2023 - Present | School of Data Science and Engineering of East China Normal University and a member of the Decision Intelligence Lab, advised by Prof. Bin Yang
Research Interests
My research interests cover Time Series Analysis and Spatio-Temporal data management. I am currently working on foundation time series models, and generative probabilistic modeling. For more information, you may take a look at my Google Scholar and GitHub.
🔥 News
- [Jan. 2025] Our paper “CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching” has been accepted by ICLR 2025.
- [Dec. 2024] Our paper “EasyTime: Time Series Forecasting Made Easy” has been accepted by ICDE 2025.
- [Nov. 2024] Our paper “DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting” has been accepted by SIGKDD 2025.
- [Oct. 2024] I have been awarded the National Scholarship!
- [Aug. 2024] Our paper “TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods” receives VLDB 2024 Best Research Paper Award Nomination!
- [Aug. 2024] The AutoCTS series is integrated into the leaderboard for time series analytics, called OpenTS.
- [Jul. 2024] Our paper “FACTS: Fully Automated Correlated Time Series Forecasting in Minutes” has been accepted by PVLDB 2025.
- [Jul. 2024] Our paper “AutoCTS++: Zero-shot Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting” has been accepted by VLDBJ 2024.
📝 Publications
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.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.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.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.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.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.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.
*Equal Contribution, # Corresponding Author
💻 Applications
- AutoCTS series: AutoML for Time Series analytics.
- EasyTime: Time Series Forecasting Made Easy.
📖 Conference PC member:
- International Joint Conference on Artificial Intelligence (IJCAI), (Main & Survey Track) 2025.
- International Conference on Learning Representations (ICLR) 2025.
🎖 Honors
National Scholarship, 2024
VLDB Best Research Paper Award Nomination (Coauthor), 2024
Outstanding Graduate of Shanghai University, 2023
Ministry of Education-Huawei, Future Star Scholarship, 2023
ASC STUDENT SUPERCOMPUTER CHALLENGE, (International Second Prize), 2022