Short Bio
Dr. Xiangteng He is a Postdoctoral Researcher at the University of British Columbia, working with Leonid Sigal. Prior to joining UBC, he was a Research Assistant Professor at Peking University and conducted research at Alibaba DAMO Academy. He received his PhD from Peking University, where his doctoral research was recognized with the CCF Outstanding Doctoral Dissertation Award and the Baidu Scholarship.
Research
My research focuses on computer vision and multimodal learning, particularly representation learning, fine-grained multimodal understanding, and vision-language models, with applications in medical imaging and biodiversity monitoring. My recent works explore:
- Predictive representation learning, joint-embedding models, and world models
- Fine-grained recognition and multimodal adaptation
- Vision-language understanding and cross-modal alignment
- Generative multimodal modeling, evaluation, and layout generation
- Multimodal learning for medical and scientific data
For Students
To junior PhD, master's, and undergraduate students: if you would like to chat about life, career planning, or research ideas related to CV and AI, feel free to email me to schedule a meeting. I dedicate 30 minutes every week for such meetings.