📢 I am on the academic job market for 2026–2027, seeking faculty positions in computer vision, multimodal learning, and AI.
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
- Representation learning and vision foundation models: predictive representation learning, joint-embedding models, and world models
- Fine-grained visual and multimodal understandingn: fine-grained recognition, adaptation, and structured multimodal analysis
- Multimodal learning and vision-language models: cross-modal alignment, multimodal understanding, and generative modeling
- Efficient and domain-specialized multimodal learning: efficient multimodal and video understanding, together with applications to medical imaging 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.