Shaoguang WANG
MPhil in Artificial Intelligence (2026)
The Hong Kong University of Science and Technology (Guangzhou)
Advised by Prof. Hui Xiong and Prof. Xuming Hu
My research centers on Multimodal Large Language Models (MLLMs) — from efficient long video understanding (query-aware keyframe selection, token-efficient prompting, and multimodal reasoning for Video-QA) to Vision-Language-Action models for embodied AI and AI for Science. My recent work has been published at CVPR and NeurIPS.
Selected Publications
- Where to Focus: Query-Modulated Multimodal Keyframe Selection for Long Video Understanding — ACM MM 2026. Paper · Code
- Less is More: Token-Efficient Video-QA via Adaptive Frame-Pruning and Semantic Graph Integration — CVPR Findings 2026. Paper · Code
- Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification — NeurIPS 2025. Paper · Code
For the complete, up-to-date publication list, see my Google Scholar profile.
Contact
Email: shaoguangwang9@gmail.com
Google Scholar: profile
GitHub: @shaoguangwang
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