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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 theSchool of Data Science and Engineering ofEast China Normal University and a member of theDecision 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 andGitHub.

📝 Publications & Preprints

  1. Xingjian Wu,Zhengyu Li, Hanyin Cheng, Xiangfei Qiu, Jilin Hu, Chenjuan Guo, Bin Yang#
    arXiv preprint, 2025.

  2. 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. Xiangfei Qiu, Yuhan Zhu,Zhengyu Li, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu#
    arXiv preprint, 2026.

  4. 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.
    PDFCodePVLDB, CCF A, Accepted

  5. Xingjian Wu, Xiangfei Qiu,Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang#
    International Conference on Learning Representations, 2025.
    PDFCodeBlogICLR, Core A*, Accepted

  6. Xvyuan Liu*, Xiangfei Qiu*, Xingjian Wu,Zhengyu Li, Chenjuan Guo, Jilin Hu, Bin Yang
    arXiv preprint, 2025.

💻 System & Applications

  1. A comprehensive and fair benchmarking framework for time series forecasting methods, addressing key challenges in evaluation and comparison.

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

  3. An advanced automatic aiming system for robots, enhancing precision and efficiency in target acquisition. This project was for theRoboMaster Competition.
    CodeVideoNational Second Prize

  4. A personalized course recommendation system designed to help students select courses that align with their interests and academic goals. This project was for theChinese Collegiate Computing Competition.
    CodeVideoNational Second Prize

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