Yu Zeng is a PhD candidate at Johns Hopkins University being advised by Prof. Vishal M Patel. Her research interest lies in computer vision and deep learning. She has focused on two main areas: (1) deep generative models for image synthesis and editing, and (2) label-efficient deep learning. By combining these research areas, she aims to bridge human creativity and machine intelligence through user-friendly and socially responsible models while minimizing the need for intensive human supervision. Yu has collaborated with researchers at NVIDIA and Adobe through internships. Prior to her PhD, she worked as a researcher at Tencent Games. Yu’s research has been recognized by the KAUST Rising Stars in AI and her PhD study has been supported by JHU Kewei Yang and Grace Xin Fellowship.