This photo was taken by my aunt Yingzhen Yang on Aug 18th, 2017 at Chincoteague Island, VA USA
Dingdong Yang
I am Dingdong Yang (杨定东). I got my Bachelor's degree from Nanjing University, China and my Master's degree from University of Michigan, Ann Arbor. I did my research internship in Professor Honglak Lee's lab in Umich. After that, I worked as a one-year full-time research assistant in Professor Thomas Serre's Lab in Brown University. I also worked as a computer vision engineer in Bytedance and other companies for three years. I am now a PhD student in Simon Fraser University and advised by Professor Hao (Richard) Zhang and Professor Ali Mahdavi-Amiri.

My research interests lie in Generative Models, especially 3D Generation that closely combines Computer Graphics priors with learning based methods. Full CV
Publications
GALA: Geometry-Aware Local Adaptive Grids for Detailed 3D Generation
Dingdong Yang, Yizhi Wang, Konrad Schindler, Ali Mahdavi-Amiri, Hao Zhang
ICLR 2025
BRICS: Bi-level feature Representation of Image CollectionS
Dingdong Yang, Yizhi Wang, Ali Mahdavi-Amiri, Hao Zhang
ArXiv Pre-print
AvatarGen: a 3D Generative Model for Animatable Human Avatars
Jianfeng Zhang*, Zihang Jiang*, Dingdong Yang, Hongyi Xu, Yichun Shi, Guoxian Song, Zhongcong Xu, Xinchao Wang, Jiashi Feng
ECCV Workshop 2022
*co-first author
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration
Yuzhi Zhao, Yongzhe Xu, Qiong Yan, Dingdong Yang, Xuehui Wang, Lai-Man Po
ECCV 2022
Automatic correction of lithography hotspots with a deep generative model
Woojoo Sim, Kibok Lee, Dingdong Yang, Jaeseung Jeong, Ji-Suk Hong, Sooryong Lee, Honglak Lee
SPIE 2019
Diversity-sensitive Conditional Generative Adversarial Networks
Dingdong Yang*, Seunghoon Hong*, Yunseok Jang, Tianchen Zhao, Honglak Lee
ICLR 2019
*co-first author
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis
Seunghoon Hong, Dingdong Yang, Jongwook Choi, Honglak Lee
CVPR 2018