A Short Bio

I’m a postdoctoral fellow of University of California, Santa Babara advised by Prof. Lingqi Yan. I received my Ph.D. degree from Shandong University, China, in 2022, working under the supervision of Prof. Xiangxu Meng, co-supervised by Prof. Lu Wang, and Prof. Yanning Xu. I was remotely supervised by Prof. Lingqi Yan during my doctoral studies.

Research

My research focuses on the intersection of artificial intelligence (AI) and photorealistic rendering, particularly on visual appearance modeling (as applied in the metaverse and digital human contexts). I am committed to unraveling the intricacies of why the real world appears as it does and how we can model interactions with light in an accurate and effective manner. Two distinct rendering paradigms have emerged: one focused on studying optical phenomena and physical structures that influence appearance and building models that adhere to physical laws, and the other on integrating data-driven approaches—such as training neural networks on observational data—to enhance the accuracy and realism of digital representations. Ultimately, my goal is to combine these two approaches to recreate the subtle nuances of the real world within digital environments.

News

• [Nov 2024] I will serve as a member of the EGSR 2025 Paper Program Committee!
• [Dec 2024] We’re excited to present our course, ‘Recent Advances in Realistic Cloth Rendering,’ at SIGGRAPH Asia 2024 in Tokyo! Join us if you’re interested!
• [July 2024] I will serve as a member of the Eurographics 2025 Paper Program Committee!
• [July 2024] With Zahra Montazeri, we organized the Women in Rendering Dinner at EGSR!
• [April 2024] I will serve as an instructor in the Symposium on Geometry Processing (SGP) 2024 Graduate School!
• [April 2024] I will serve as a member of the Pacific Graphics 2024 Paper Program Committee!
• [March 2024] I will serve as a member of the SIGGRAPH Asia 2024 Paper Program Committee!
• [Jun 2023] Our paper A Practical and Hierarchical Yarn-based Shading Model for Cloth has won EGSR 2023 Best Paper Award and EGSR 2023 Best Visual Effects Award at the same time!