I’m a software engineer at Google, Previously, I was a research intern at NYU Game Innovation Lab working with Prof. Julian Togelius. I obtained my master degree from NYU. My main research interest is neuroscience and psychology inspired RL, this includes dynamic reward function, imitation learning. I’m also interested in causal representation learning in recent days. You can check my CV here.

Publications

Y. Yao*; C. Ye*; J. He; GF. Elsayed. Teacher-Generated Spatial-Attention Labels Boost Robustness and Accuracy of Contrastive Models. CVPR 2023. Paper, Presentation. *Equal Contribution.

Y. Yao*; C. Ye*; J. He; GF. Elsayed. Teacher-generated pseudo human spatial-attention labels boost contrastive learning models. SVRHM 2022 Workshop@ NeurIPS. Paper. *Equal Contribution.

H. Shengyi; R.F.J. Dossa; C. Ye and J. Braga. CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms. Journal of Machine Learning Research (JMLR), 2022. Paper, Code

C. Ye; A. Khalifa; P. Bontrager and J. Togelius. Rotation, Translation,and Cropping for Zero-Shot Generalization. IEEE Conference on Games (CoG), 2020. (39.9% Acceptance Rate) Paper, Code, Presentation