🏷 About Me
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, AutoML, Foundation Models, and Agentic Systems. For more information, you may take a look at my Google Scholar and GitHub.
🔥 News
- 2025.05: ⭐️⭐️ Our paper "TAB: Unified Benchmarking of Time Series Anomaly Detection Methods" has been accepted by PVLDB 2025!
- 2025.05: 🎉🎉 Our paper "K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting" has been accepted as a Spotlight Poster by ICML 2025!
- 2025.01: 🎈🎈 Our paper "CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching" has been accepted by ICLR 2025!
- 2024.12: 🏖️🏖️ Our paper "EasyTime: Time Series Forecasting Made Easy" has been accepted by ICDE 2025!
- 2024.11: 🤖🤖 Our paper "DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting" has been accepted by SIGKDD 2025
- 2024.10: ⭐️⭐️ I have been awarded the National Scholarship!
- 2024.08: 🎉🎉 Our paper "TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods" receives VLDB 2024 Best Research Paper Award Nomination!
- 2024.08: 🥂🥂 The AutoCTS series is integrated into the leaderboard for time series analytics, called OpenTS
- 2024.07: 📑📑 Our paper "FACTS: Fully Automated Correlated Time Series Forecasting in Minutes" has been accepted by PVLDB 2025
- 2024.07: 🎓🎓 Our paper "AutoCTS++: Zero-shot Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting" has been accepted by VLDBJ 2024.
📝 Publications
Accepted Papers
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.
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.
Preprints
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.
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 ⌛️
🎖 Honors and Awards
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2024.10 National Scholarship
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2024.11 Outstanding Student of East China Normal University
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2024.08 VLDB Best Research Paper Award Nomination
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2023.08 Outstanding Graduate of Shanghai University
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2023.06 Ministry of Education-Huawei, Future Star Scholarship
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2022.12 ASC STUDENT SUPERCOMPUTER CHALLENGE, (International Second Prize)
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2021.10 Outstanding Student of Shanghai University
💬 Invited Talks
- 2025.04 Conduct a popular science lecture on large language models for Shanghai No.1 Welfare Institute (a department - level unit).
- 2025.03 Conduct a popular science lecture on large language models for Shanghai Art & Design Academy (a department - level unit).
💻 Applications
- AutoCTS series: AutoML for Time Series analytics.
- EasyTime: Time Series Forecasting Made Easy.
📖 Services
- 2025.08 PC Member of Association for the Advancement of Artificial Intelligence (AAAI 2026), (Main Technical Track).
- 2025.02 PC Member of International Joint Conference on Artificial Intelligence (IJCAI 2025), (Main & Survey Track).
- 2024.12 PC Member of International Conference on Learning Representations (ICLR 2025), (Main Track).