Xinchen Yan

Xinchen Yan is a renowned expert in the field of deep representation learning and generative modeling, specializing in structured and multimodal data. His research focuses on controllable image generation and manipulation, deep generative modeling of structured data, and weakly-supervised 3D shape generation with geometry-aware structures. With a solid educational background, including a Doctor of Philosophy in Machine Learning from the University of Michigan and studies at Shanghai Jiao Tong University, Xinchen has honed his skills and expertise over the years. He has contributed significantly to the field while holding key positions such as AI Research Scientist at Uber, Student Researcher at Google, and Research Intern at Adobe and Google. Additionally, Xinchen has served as a Research Assistant at the University of Michigan and Nanyang Technological University, showcasing his diverse experience and knowledge in the research domain.