Xijun Li
Scholar

Xijun Li

Google Scholar ID: QXU_QbMAAAAJ
Shanghai Jiao Tong University
Learning to Optimize
Citations & Impact
All-time
Citations
855
 
H-index
16
 
i10-index
21
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • Published many papers in top peer-reviewed conferences and journals (such as TPAMI, NeurIPS, ICLR, ICML, KDD, ICDE, SIGMOD, DAC, etc.); Applied/published a series of patents with Huawei Noah's Ark Lab; Won the championship of the student leaderboard in the Dual Track of NeurIPS'21 ML4CO Competition; One of the core developers of the Huawei Cloud OptVerse AI Solver and Huawei Pangu Large Language Models.
Research Experience
  • Served as a principal researcher at Huawei Noah's Ark Lab from 2018 to 2024; Since October 2024, an assistant professor at the School of Software, Shanghai Jiao Tong University, and a member of the Shanghai Key Laboratory of Scalable Computing and Systems.
Education
  • Ph.D.: University of Science and Technology of China, Advisor: Prof. Jie Wang, Time: March 2024; M.S.: Shanghai Jiao Tong University, Advisor: Prof. Jianguo Yao, Time: 2018.
Background
  • Research Interests: Learning to Optimize (L2O), Large Language Model for Optimization/Reasoning, Long-Horizon Planning for Robotics, etc. Professional Fields: Mathematical Programming Solver, Reinforcement Learning, Operational Research, etc.
Miscellany
  • Personal interests and hobbies are not explicitly mentioned.