Shengqiong Wu
Scholar

Shengqiong Wu

Google Scholar ID: RJJLKR0AAAAJ
National University of Singapore
Multimodal LearningVisual ModelingLarge Language ModelNatural Language Processing
Citations & Impact
All-time
Citations
3,235
 
H-index
19
 
i10-index
23
 
Publications
20
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • Published several papers including NExT-GPT, which was accepted to ICML'24 Oral and selected as a Most Influential Paper; Setok, accepted to ICLR'25; and USG, highlighted at CVPR'25. Also received awards like the WAIC Youth Outstanding Paper Award.
Research Experience
  • Involved in multiple research projects such as NExT-GPT, Any2Caption, Setok, and USG.
Education
  • Received both M.S. and B.S. degrees from Wuhan University before joining the National University of Singapore for doctoral studies in the field of Computing Science.
Background
  • Currently a fourth-year Ph.D. student at the NExT++ Research Center, advised by Prof. Tat-Seng Chua in the School of Computing at National University of Singapore. Research interests include Large Vision-Language Foundation Models, with a particular focus on their capability, controllability, evaluability, and robust, reliable reasoning. Also broadly interested in Natural Language Processing.
Miscellany
  • Engages in organizing workshops, participating in open discussions, and challenges. Actively maintains a GitHub repository on Awesome-Scene-Graph-Generation-and-Application.