Jian Li
Scholar

Jian Li

Google Scholar ID: IAJpTqYAAAAJ
Beijing Normal University
large language modelslarge-scale machine learningstatistical learning theory
Citations & Impact
All-time
Citations
746
 
H-index
11
 
i10-index
13
 
Publications
20
 
Co-authors
2
list available
Resume (English only)
Academic Achievements
  • Selected papers: 'A Survey on Model Compression for Large Language Models', 'Distilling mathematical reasoning capabilities into Small Language Models', 'Optimal Rates for Agnostic Distributed Learning', 'Optimal Convergence Rates for Distributed Nyström Approximation', 'Convolutional Spectral Kernel Learning with Generalization Guarantees', 'Optimal Convergence Rates for Agnostic Nyström Kernel Learning', 'Multi-Class Learning: From Theory to Algorithm'.
Research Experience
  • Associate Professor at School of Artificial Intelligence, Beijing Normal University, 2024.09 - present;
  • Visiting Scholar at Microsoft Research Asia (NLC Group), 2024.04 - 2024.06;
  • Associate Research Fellow at Institute of Information Engineering, CAS, 2023.10 - 2024.09;
  • Postdoc Researcher at Institute of Information Engineering, CAS, 2020.09 - 2023.10.
Education
  • Ph.D. in Cyber Security from University of Chinese Academy of Sciences (UCAS), 2015.09 - 2020.06, supervised by Prof. Yong Liu and Prof. Weiping Wang;
  • Bachelor's degree in Software Engineering (International class) from Northeastern University, 2011.09 - 2015.06.
Background
  • Research interests include complex reasoning capabilities, reasoning reliability, and educational applications of large language models (LLMs). The goal is to enhance the complex reasoning abilities and reasoning reliability of LLMs through fundamental theoretical exploration and key technical investigations, realizing interpretable, trustworthy, and practically deployable LLM reasoning systems.