I am a Ph.D candidate in the Department of Computer Science and Engineering at Michigan State University, advised by Dr. Yu Kong.

My research interests are computer vision, multi-modality, and trustworthy AI motivated by real-world problems in surveillence, sports, social media, and healthcare. Specifically, my research focuses on the topics of long-form video understanding, human behavior modeling, and visual grounding. I developed predictive methods to capture spatio-temporal, dynamic, and interpretable patterns in large-scale multi-modal data.

Contact: chenjunw at msu dot edu