Chenyu Li (李晨宇)

I am a first-year Master's student in Computer Science at University of Illinois Urbana-Champaign, advised by Prof. Yuxiong Wang. I earned my Bachelor's degree in Software Engineering from Tsinghua University. I was fortunate to work under the guidance of Prof. Saining Xie at New York University, and Prof. Mingsheng Long at Tsinghua University.

My research interests lie in the domains of Deep Learning and Machine Learning, with a specific focus on their applications in Computer Vision. My long-term goal is to leverage deep learning methodologies to address real-world challenges and create impactful solutions.

Email  /  CV  /  Google Scholar  /  GitHub  /  LinkedIn

News
  • 2025-05 Our paper "PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop" is accepted by ICML 2025.
  • 2024-10 Awarded the National Scholarship (国家奖学金).
  • 2024-05 Our paper "Timer: Transformers for Time Series at Scale" is accepted by ICML 2024.
  • 2023-09 Our paper "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" is accepted by NeurIPS 2023.
Publications (* indicates equal contribution)
Education
Selected Projects
  • Apache IoTDB
    Develop IoTDB Artificial Intelligence Node, a native machine learning engine of time series database. Users build, train, manage and use machine learning models in IoTDB databases using SQL statements.
Honors & Awards
  • KDD Excellent Reviewer (Top 10%), KDD Program Chairs, 2025
  • Outstanding Graduates of Beijing (Top 1%), Beijing Municipal Education Commission, 2025
  • Outstanding Graduates of Tsinghua (Top 1%), Tsinghua University, 2025
  • National Scholarship (国家奖学金, top scholarship in China, 0.2% domestically), Ministry of Education, 2024
  • SenseTime Scholarship (30 undergraduates domestically), SenseTime, 2023
  • Huawei Scholarship (华为奖学金), Tsinghua University, 2023
  • 12•9 Scholarship (一二•九奖学金, top 1%), Tsinghua University, 2022
Academic Services
  • Conference Reviewer, International Conference on Machine Learning (ICML) 2025.
  • Conference Reviewer, Conference on Neural Information Processing Systems (NeurIPS) 2025.
  • Conference Reviewer, International Conference on Learning Representations (ICLR) 2026.
  • Conference Reviewer, Conference on Knowledge Discovery and Data Mining (KDD) 2025-2026.
  • Conference Reviewer, AAAI Conference on Artificial Intelligence (AAAI) 2026.
Teaching Experience