About me
I am a second year Ph.D. student in University of Maryland, College Park, where I am fortunate to be advised by Prof. Furong Huang. My research interest is foundation models and reinforcement learning, including world models for robotics, sample-efficient rl methods, visual rl, hallucination in large vision-language models, etc. My long-term goal is to make agents more efficient and reliable. Before that, I received my Bachelor’s degree in Network Engineering from University of Electronic Science and Technology of China (UESTC). I am also fortunate to work closely with Dr. Huazhe Xu from Tsinghua University and Dr. Huaxiu Yao from UNC.
I am looking for internship opportunities. Here is my CV. Please feel free to contact me if you think I could be a good fit.
News and Highlights
[2024.01] |
2 paper accepted by ICLR 2024 (one as spotlight)!
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[2023.11] |
1 paper accepted by NeurIPS 2023!
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[2023.05] |
1 paper accepted by ICML 2023! See you in Hawaii!
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[2023.01] |
1 paper accepted by ICLR 2023!
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[2022.01] |
1 paper accepted by ICLR 2022. Many thanks to my collaborators!
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[2021.03] | We won Runner-Up Award in NTIRE 2021 Challenge on Nonhomogeneous Dehazing and our paper got accepted by New Trends in Image Restoration and Enhancement Workshop in CVPR 2021! Many thanks to my Teammates! |
ICLR 2024 |
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL. Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, and Furong Huang. In International Conference on Learning Representations, 2024 Paper Code HTML |
ICML 2023 |
Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy. Xiyao Wang, Wichayaporn Wongkamjan, Ruonan Jia, and Furong Huang. In the 40th International Conference on Machine Learning, 2023 Paper Code HTML |
ICLR 2023 |
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function. Ruijie Zheng*, Xiyao Wang*, Huazhe Xu, and Furong Huang. (* Equal Contribution) In International Conference on Learning Representations, 2023 Paper (Code coming soon!) HTML |
ICLR 2022 |
Transfer RL across Observation Feature Spaces via Model-Based Regularization. Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew Cohen, and Furong Huang. In International Conference on Learning Representations, 2022 Paper Code HTML |
CVPRW 2021 |
A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learning. Yankun Yu, Huan Liu, Minghan Fu, Jun Chen, Xiyao Wang, Keyan Wang. In New Trends in Image Restoration and Enhancement Workshop, CVPR 2021 Paper (Code coming soon!) |