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I am currently a Master student (from fall, 2023) at the School of Data Science and Engineering of East China Normal University and a member of the Decision Intelligence Lab, advised by Prof. Jilin Hu.
My research interests cover Time Series Analysis and Deep Learning. I am currently working on foundation time series models, and time series benchmarking. In addition to pure research, I also dedicate myself to promoting research on valuable real-world applications. My research aims to contribute to the advancement of intelligent systems capable of handling massive and complicated temporal data across domains, including finance, industry, and environment.
For more information, you may take a look at my Google Scholar and GitHub.
- [Jan. 2025] Our paper "CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching" has been accepted by ICLR 2025.
- [Dec. 2024] My paper "EasyTime: Time Series Forecasting Made Easy" has been accepted by ICDE 2025.
- [Nov. 2024] My 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] My paper "TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods" receives VLDB 2024 Best Research Paper Award Nomination!
- [Aug. 2024] We have created a leaderboard for time series analytics, called OpenTS.
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*Equal Contribution, # Corresponding Author
- OpenTS: A comprehensive and fair benchmarking of time series analytics.
- EasyTime: Time Series Forecasting Made Easy.
- TFB: Time Series Forecasting Benchmark.
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), (Main & ADS Track) 2025.
- International Joint Conference on Artificial Intelligence (IJCAI), (Main & Survey Track) 2025.
- International Conference on Learning Representations (ICLR) 2025.
- External Reviewer, International Conference on Database Systems for Advanced Applications (DASFAA) 2025.
- External Reviewer, International Conference on Information and Knowledge Management (CIKM) 2024.
- Teaching Assistant, Introduction to Data Science, Fall 2024, Prof. Jilin Hu.
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National Scholarship, 2024
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VLDB Best Research Paper Award Nomination (First author), 2024
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National Scholarship, 2022
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GroupProgramming Ladder Tournament (Team leader, Third Prize in the National Competition), 2022
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National Scholarship, 2021
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National College Student Information Security Contest (Third Prize in the National Competition), 2021