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Zhengyu Li

Master's Student
East China Normal University
Email: lizhengyu@stu.ecnu.edu.cn


👋 About Me

I am currently a Master’s student at the 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 Topics

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.

📝 Publications & Preprints

  1. arXiv
    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.
    PDF

  2. NeurIPS
    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#
    Neural Information Processing Systems Conference, 2025.
    NeurIPS, CCF A, Accepted (Spotlight)

  3. arXiv
    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, 2026.
    PDF Code

  4. PVLDB
    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, 2025.
    PDF Code PVLDB, CCF A, Accepted

  5. ICLR
    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, 2025.
    PDF Code Blog ICLR, Core A*, Accepted

  6. arXiv
    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.
    PDF

💻 System & Applications

  1. TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
    A comprehensive and fair benchmarking framework for time series forecasting methods, addressing key challenges in evaluation and comparison.
    PDF Code

  2. RAG-Powered Research Assistant
    A research assistant tool leveraging Retrieval-Augmented Generation (RAG) to provide accurate and context-aware responses to user queries, enhancing research efficiency.
    Code

  3. Robot Automatic Aiming System
    An advanced automatic aiming system for robots, enhancing precision and efficiency in target acquisition. This project was for the RoboMaster Competition.
    Code Video National Second Prize

  4. Course Recommendation System
    A personalized course recommendation system designed to help students select courses that align with their interests and academic goals. This project was for the Chinese Collegiate Computing Competition.
    Code Video National Second Prize

👀 Visitors


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