Chenyu Li (李晨宇)

I am a Deep Learning Researcher at JQ Investments. I earned my Master's degree in Computer Science from University of Illinois Urbana-Champaign and 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 primary research interest is foundation models for finance.

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News
  • 2026-08 Started working full-time as a Deep Learning Researcher at JQ Investments.
  • 2026-06 Started an internship at JQ Investments.
  • 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