Scholar
Wei Li
Google Scholar ID: CPd0kEMAAAAJ
National Chiao Tung University
Citations & Impact
Citations
1,636
H-index
12
i10-index
13
Publications
16
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- His team has published multiple papers in top conferences such as TPAMI'24, CVPR/ICCV/OLEN/AAAI 2023, CVPR/NeurIPS 2022, and NeurIPS'21. In 2025, his team received the SenseTime Team Award (Highest Group Honor), and in 2019, he received the SenseTime Outstanding Award. In 2017, he was awarded the NCTU Academic Excellence Award.
Research Experience
- Since August 2019, he has been working at SenseTime, leading a team in the research of UME. Previously, he developed a lightweight, scalable AlphaGo Zero/AlphaZero framework and proposed the MPV-MCTS training algorithm at the CGI Lab. He also worked on projects like Smart City Multimodal Early Warning, Intelligent Mine AI Perception System, and more.
Education
- Earned a Master's degree in Computer Science from the Computer Games and Intelligence (CGI) Lab at National Chiao Tung University in June 2019, under the supervision of Professor I-Chen Wu. His research focused on combining deep reinforcement learning with computer game AI, such as 2048 Game AI, Chinese Chess AI, and AlphaGo/AlphaZero.
Background
- Currently a senior algorithm researcher at SenseTime, focusing on the advancement and application of universal multimodal embedding and retrieval (UME) to real-world applications. Research interests include representation learning and its practical applications across various industries. Originally from Fujian, China, his name symbolizes brightness and beauty, aiming to leverage technology to enhance human happiness and well-being.
Miscellany
- Active on GitHub and Zhihu, with hobbies related to technology.
Co-authors