Zhecheng Yuan

I am a first-year PhD student at Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University, advised by Prof. Huazhe Xu. Now, I am also a research intern at UCSD, where I am fortunate to advised by Prof. Xiaolong Wang. I received my Master's degrees from the Tsinghua University, Shenzhen Institute Graduate School, Big Data Engineering Track. I acheived the Outstanding Thesis Award of Tsinghua University, and Outstanding Graduate of Beijing.

Feel free to contact me via email yuanzc23@mails.tsinghua.edu.cn.

Research interest

I am broadly interested in research on the generalization, representation learning for RL agents, robotics, and Embodied AI. My dream is to empower AI with the capacity to adapt and generalize in the complex real-world environments.

News

2023.04 Our paper "On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline" is accepted to ICML 2023.

2023.01 Our paper "USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation" is accepted to ICRA 2023.

2023.01 Our paper "Extraneousness-Aware Imitation Learning" is accepted to ICRA 2023.

2022.09 Our paper "Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning" is accepted to NeurIPS 2022.

2022.04 Our paper "Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning" is accepted to IJCAI 2022.

Selected Publication

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