I am a research scientist at OpenAI working on post-training.
I received my Ph.D. degree at UCSD, advised by Prof. Xiaolong Wang.
Before that, I received my bachelor's degree from Yao Class at Tsinghua University.

Publications

Diffusion Autoencoders are Scalable Image Tokenizers
Yinbo Chen, Rohit Girdhar, Xiaolong Wang, Sai Saketh Rambhatla, Ishan Misra
Tech report.   webpage  paper  bib  code

Image Neural Field Diffusion Models
Yinbo Chen, Oliver Wang, Richard Zhang, Eli Shechtman, Xiaolong Wang, Michael Gharbi
CVPR 2024, highlight.  webpage  paper  bib  code

Transformers as Meta-Learners for Implicit Neural Representations
Yinbo Chen, Xiaolong Wang
ECCV 2022.  webpage  paper  bib  code

Learning Implicit Feature Alignment Function for Semantic Segmentation
Hanzhe Hu*, Yinbo Chen*, Jiarui Xu, Shubhankar Borse, Hong Cai, Fatih Porikli, Xiaolong Wang
ECCV 2022.  paper  bib  code

VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution
Zeyuan Chen, Yinbo Chen, Jingwen Liu, Xingqian Xu, Vidit Goel, Zhangyang Wang, Humphrey Shi, Xiaolong Wang
CVPR 2022.  webpage  paper  bib  code

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Yinbo Chen, Zhuang Liu, Huijuan Xu, Trevor Darrell, Xiaolong Wang
ICCV 2021.  paper  bib  code

Rethinking Knowledge Graph Propagation for Zero-Shot Learning
Yinbo Chen*, Michael Kampffmeyer*, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing
CVPR 2019.  paper  bib  code