Video Understanding
Modeling actions, intent, temporal structure, and long-form visual narratives.
PhD
I work at PICO, ByteDance, focusing on human visual perception. My research interests include video understanding, multimodal learning, reliable visual reasoning, and generative models.

I am an AI Algorithm Engineer at PICO, ByteDance. I received my PhD from the University of Melbourne, supervised by Prof. Tom Drummond, Dr. Mingming Gong, and Dr. Qiuhong Ke. Before that, I studied mathematics and computer science at Northwestern Polytechnical University.
My research covers video understanding, vision-language learning, and reliable reasoning. My work has appeared at ICLR, ICML, ECCV, WACV, and in journals including T-PAMI, T-IP, T-MM, and IJCV.
Modeling actions, intent, temporal structure, and long-form visual narratives.
Aligning visual and language representations for grounded reasoning.
Helping models recognize uncertainty and answer within the limits of available evidence.
Developing agentic systems that interpret, segment, and interact with complex scenes.
Tianyuan Du, Haopeng Li, Zhen Fan, Jiarui Zhang, Panwang Pan, Yang Zhang
Haopeng Li, Andong Deng, Jun Liu, Hossein Rahmani, Yulan Guo, Bernt Schiele, Mohammed Bennamoun, Qiuhong Ke
Haopeng Li, Mohammed Bennamoun, Jun Liu, Hossein Rahmani, Qiuhong Ke
Haopeng Li, Tom Drummond, Mingming Gong, Mohammed Bennamoun, Qiuhong Ke
Jinhao Li, Haopeng Li, Sarah Monazam Erfani, Lei Feng, James Bailey, Feng Liu
Haopeng Li, Qiuhong Ke, Mingming Gong, Tom Drummond
AI Algorithm Engineer
Human Visual PerceptionResearch Assistant
Bridge competition cheating detectionResearch Assistant
Sports video understandingResearch Intern
Crowd video analysisThe University of Melbourne
Northwestern Polytechnical University
Northwestern Polytechnical University
The University of Melbourne
Ministry of Education of the PRC
International Mathematical Contest in Modeling