Bio

Yu Zeng is a Research Scientist at NVIDIA. Her research advances artificial intelligence through two primary directions: generative AI and label-efficient learning for computer vision. Her PhD research focused on generative models for visual synthesis with multimodal and hierarchical inputs. Her most recent research focuses on advancing embodied AI using deep generative models. Her research has been integrated into several products at NVIDIA, including NVIDIA Cosmos and NVIDIA Edify. Before joining NVIDIA, she obtained her PhD from Johns Hopkins University. She also worked with the research teams at Adobe during PhD and Master’s studies.