Qi Wang
Scholar

Qi Wang

Google Scholar ID: OwW5XfMAAAAJ
Shanghai Jiao Tong University << UCAS
Reinforcement LearningWorld ModelsComputer Vision
Citations & Impact
All-time
Citations
76
 
H-index
4
 
i10-index
1
 
Publications
9
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published multiple conference papers, including ICCV 2025, ICLR 2025 Oral (Top 1.8%), NeurIPS 2024, and three preprint papers on arXiv. Authored the book 'LeeDL-Tutorial' (Detailed Explanation of Deep Learning), which was recognized as an influential new book in 2024 and selected as one of the top 100 books on JD.com in 2024.
Research Experience
  • Organizing the NeurIPS 2025 Workshop on Embodied World Models for Decision Making.
Education
  • 2022.09-2026.06 Ph.D. Candidate in the School of Computer Science at Shanghai Jiao Tong University (Also as a joint student in the Eastern Institute for Advanced Study), supervised by Xiaokang Yang (IEEE Fellow, Winner of National Science Fund for Distinguished Young Scholars) and Wenjun Zeng (International Fellow of the Canadian Academy of Engineering, IEEE Fellow); also works closely with Yunbo Wang and Xin Jin.
  • 2019.09-2022.07 M.E. in the Shenyang Institute of Computing Technology at the University of Chinese Academy of Sciences. GPA 3.81/4.0.
Background
  • Research interests include reinforcement learning, computer vision, and world models. Published several papers at top-tier conferences such as NeurIPS, ICLR, and ICCV, with one selected for oral presentation. He is also an avid open-source contributor, with projects amassing over 25,000 GitHub stars, and has authored two bestselling books.
Miscellany
  • Loves collaborating with others.
Co-authors
0 total
Co-authors: 0 (list not available)