Boqing Gong

Assistant Professor
Boston University

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

CV

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Education

Ph.D. in Computer Science

University of Southern California
2011-2015

Visiting graduate student in Computer Science

University of Texas at Austin
Summer, 2012

Master of Philosophy in Information Engineering

The Chinese University of Hong Kong
2008-2010

Bachelor in Eletronic Information Engineering

University of Science and Technology of China
2004-2008

Research

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.

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