Qifeng Chen

Dr. Qifeng Chen is an associate professor in the Department of Computer Science at The Hong Kong University of Science and Technology. He received his PhD in computer science from Stanford University in 2017 and a bachelor's degree in computer science and mathematics from HKUST in 2012. His research interests include computer vision, machine learning, optimization, and computer graphics. Four of his papers were selected for full oral presentations at ICCV'15, CVPR'16, ICCV'17, and CVPR'18. He also won the 2nd place worldwide at the ACM-ICPC World Finals in 2011 and earned a gold medal at IOI 2007.

Qifeng Chen is a researcher with expertise in Computational Photography, Image Synthesis, Generative AI, Autonomous Driving, and Embodied AI. His work focuses on advancing image and video generation techniques through deep learning, with applications in autonomous systems and visual perception. Chen's research includes developing methods for high-fidelity video generation, image attribute editing, and diffusion models for text-based video editing. He has also explored computational photography techniques such as reflection separation and low-light image enhancement. His contributions span both theoretical and applied aspects of AI, with an emphasis on creating robust and realistic visual outputs for real-world scenarios.