OOI Wei Tsang
Associate ProfessorCo-director, Image & Pervasive Access Lab (IPAL)
- Ph.D. (Computer Science, Cornell University, 2001)
- B.Sc. (Computer & Information Sciences, National University of Singapore, 1996)
Wei Tsang received his B.Sc. (Hon.) degree in 1996 from the Department of Information Systems and Computer Science at NUS (now NUS Computing), and his Ph.D. in Computer Science from Cornell University, Ithaca, New York, in 2001. He spent a year as a postdoc fellow at Berkeley Multimedia Research Center in U.C. Berkeley after the completion of his Ph.D., before returning to join NUS Computing as a faculty member. Wei Tsang's research spans two broad areas: interactive multimedia systems and interactive intelligent systems. His current work focuses on (i) efficient volumetric data streaming via compact, layered 3D Gaussian Splatting (3DGS) representations, and (ii) human-AI collaboration, including learning-to-defer frameworks, vision-language models for driving, and human-drone interaction.
RESEARCH AREAS
Media
- Human-Computer Interaction
- Multimedia Analytics
- Multimedia Systems
Artificial Intelligence
- Machine Learning
- Computer Vision
RESEARCH INTERESTS
Interactive Media Streaming
Computer Networking and Distributed Systems
Multimedia Middleware and Applications
Networked Virtual Environments
Multimedia Systems
Edge AI
Human-AI Interaction
RESEARCH PROJECTS
RESEARCH GROUPS
TEACHING INNOVATIONS
SELECTED PUBLICATIONS
- Samuel Rhys Cox, Wei Tsang Ooi: Does Chatbot Language Formality Affect Users' Self-Disclosure? In Proceedings of the 4th Conference on Conversational User Interfaces (CUI 2022), Glasgow, United Kingdom, July 26 - 28, 2022 1:1-1:13
- Travis Seng, Axel Carlier, and Wei Tsang Ooi. 2025. Video Lecture Analysis Toolkit: An Open-Source Framework for Interactive Learning. In Proceedings of the 33rd ACM International Conference on Multimedia (MM '25), Dublin, Ireland, 27 - 31 October 2025, 13648-13651. (Best Open Source Software Award)
- Yannis Montreuil*, Axel Carlier, Lai Xing Ng, and Wei Tsang Ooi, Why Ask One When You Can Ask k? Learning-to-Defer to the Top-k Experts, In Proceedings of the 14th Annual Conference on Learning Representation (ICLR'26), Rio de Janeiro, Brazil, 23 - 27 April 2026.
- Lingdong Kong*, Dongyue Lu*, Alan Liang*, Rong LI, Yuhao Dong, Tianshuai Hu, Lai Xing Ng, Wei Tsang Ooi, and Benoit Cottereau, Talk2Event: Grounded Understanding of Dynamic Scenes From Event Cameras, In Proceedings of the 39th Conference on Neural Information Processing Systems (NeurIPS'25), San Diago, CA, 30 November - 5 December 2025 (Spotlight).
- Yuan-Chun Sun, Yuang Shi*, Chen-Tse Lee, Mufeng Zhu, Wei Tsang Ooi, Yao Liu, Chun-Ying Huang, and Cheng-Hsin Hsu, LTS: A DASH Streaming System for Dynamic Multi-Layer 3D Gaussian Splatting Scenes, In Proceedings of the 16th ACM Multimedia Systems Conference (MMSYS'25), Stellenbosch, South Africa, 31 March - 4 April 2025, 136-147 (Best Paper Award).
AWARDS & HONOURS
School of Computing Teaching Excellence Award, 2015, 2013, 2012, 2008, 2006
National University of Singapore Annual Teaching Excellence Award 2008
DASH-IF Excellence in DASH Award (Runner Up), ACM MMSys 2021
Best Demo, ACM Multimedia 2013
ACM TOMCCAP Nicolas D. Georganas Best Paper Award 2011
Best Paper, ACM Multimedia 2008
Best Paper, ACM Multimedia Systems 2025
Best Open Source Software, ACM Multimedia 2025
Honorable Mention, ACM CHI 2025
COURSES TAUGHT

