Xiaopeng Hong 洪晓鹏
Professor · PhD Supervisor
I study how visual and multimodal systems perceive, adapt, and keep learning. My current research focuses on computer vision, multimodal learning, and continual learning.
Research directions
Computer vision
Understanding people and scenes through visual data, from facial behavior to crowd analysis.
02Multimodal learning
Connecting signals and modalities to build more capable perception systems.
03Continual learning
Helping models acquire new knowledge while retaining what they learned before.
Research across places and disciplines
I am a professor and PhD supervisor at Harbin Institute of Technology (HIT) in Harbin, China. I received my PhD in computer application and technology from HIT in 2010.
Previously, I held research positions at Xi’an Jiaotong University and the University of Oulu in Finland. My work spans computer vision and machine learning, including continual learning, visual surveillance, and subtle facial movement analysis.
For my current institutional biography, see my HIT profile. My research record is available through publications, Google Scholar, and DBLP.
Let's connect
For research collaborations, academic inquiries, or prospective students, get in touch.
Contact information