Boqing Gong

Boqing Gong is an Assistant Professor in the Department of Computer Science at Boston University. He concurrently serves as a part-time research scientist at Google. His research focuses on advancing visual recognition, video analysis, and the safety/generalization of AI models through novel algorithms in computer vision and machine learning. He holds editorial roles as an Associate Editor for IEEE TPAMI (since 2024) and TMLR. He has organized major conferences including co-chair roles for WACV 2023, CVPR 2022/2025 tutorials, and ICCV 2025 workshops.

Education:

• Ph.D. Computer Science, University of Southern California (2011-2015)
• Visiting Graduate Student, University of Texas at Austin (Summer 2012)
• MPhil Information Engineering, Chinese University of Hong Kong (2008-2010)
• Bachelor's in Electronic Information Engineering, University of Science and Technology of China (2004-2008)

Research Interests: Dr. Gong develops algorithms to understand objects, human activities, and scene relationships. His work emphasizes mathematical structures for effective and efficient solutions with strong analytical guarantees. Key areas include domain adaptation, long-tailed recognition, adversarial robustness, few-shot learning, and generative models. He explores intersections between language, vision, and reinforcement learning.

Professional Contributions:

• Senior/Area Chair for CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AISTATS, AAAI
• Outstanding Reviewer Awards (CVPR 2017/2021)