Boqing Gong

A computer vision researcher who studies visual recognition and video understanding, with attention to the safety, generalization, and efficiency of AI models. His methods include domain adaptation and transfer learning, long-tailed recognition, adversarial robustness, and self-supervised learning, grounded in the mathematical structure of each problem.