Biography
Boqing Gong is a computer science faculty member at Boston University and a part-time research scientist at Google. His research on machine learning and computer vision focuses on visual recognition, video, and AI models' safety, generalization, and efficiency. Boqing has served as an Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) since 2024 and a program co-chair for IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) in 2023.
Services
Associate editor for PAMI and TMLR. Program co-chair for WACV'23. Tutorial co-chair for CVPR'22, Senior Area chair or Area Chair for CVPR, ECCV, ICML, NeurIPS, ICLR, ICCV, AISTATS, WACV, and AAAI. NSF Panelist.
CVPR'17, '21 Outstanding Reviewer
Education
Ph.D. in Computer Science
University of Southern CaliforniaVisiting graduate student in Computer Science
University of Texas at AustinMaster of Philosophy in Information Engineering
The Chinese University of Hong KongBachelor in Eletronic Information Engineering
University of Science and Technology of ChinaResearch
I am interested in developing novel algorithms to understand objects, human activities, scenes, and their attributes. I strive to understand the mathematical structures of research questions in order to develop effective and efficient algorithmic solutions, with strong analytical properties and compelling practical performance.