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I'm currently a I'm interested in reinforcement learning, machine learning, robotics and some system stuff. Specifically, I'd like to build intelligent agent, which make decision with information coming from different sources Email / CV / Google Scholar / Github / Linkedin I'm open to discussion or collaboration. Feel free to drop me an email if you're interested in my research. |
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Ruihan Yang, Ge Yang, Xiaolong Wang, CVPR, 2023 (Highlight) arXiv / Project Page Utilize 3D structure of the surrounding for visual locomotion over challenging terrain |
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Ruihan Yang*, Minghao Zhang*, Nicklas Hansen, Huazhe Xu, Xiaolong Wang, ICLR, 2022 (Spotlight) RSS VLRR Workshop, 2021 (Spotlight) arXiv / Project Page / Code Proposed LocoTransformer for Visual Locomotion with End2End RL |
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Ruihan Yang, Huazhe Xu, Yi Wu, Xiaolong Wang, NeurIPS, 2020 ICLR BeTR-RL workshop, 2020(Oral) arXiv / Project Page / Code Proposed Soft Modularization for Multi-Task RL to avoid gradient interference between tasks and knowledge Sharing across tasks. |
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Chieko Sarah Imai*, Minghao Zhang*, Yuchen Zhang*, Marcin Kierebiński, Ruihan Yang, Yuzhe Qin, Xiaolong Wang, IROS, 2022 arXiv / Project Page / Code We propose Multi-Modal Delay Randomization (MMDR) to address the latency from the control pipeline when training with RL agents. |
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Yuzhe Qin*, Yueh-Hua Wu*, Shaowei Liu, Hanwen Jiang, Ruihan Yang, Yang Fu, Xiaolong Wang, ECCV, 2022 arXiv / Project Page / Code We propose a new platform and pipeline, DexMV (Dexterous Manipulation from Videos), for imitation learning to bridge the gap between computer vision and robot learning. |
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Junjie Li, Sotetsu Koyamada, Qiwei Ye, Guoqing Liu, Chao Wang, Ruihan Yang, Li Zhao, Tao Qin, Tie-Yan Liu, Hsiao-Wuen Hon arXiv, 2020 arXiv Built (Strongest Mahjong AI around the world), now well matched to the top professional human player. |
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UC San Diego, San Diego, CA • PhD in Machine Learning • 2021 to Present • M.S in Computer Science • 2019 to 2021 |
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Nankai University, Tianjin, China • B.E in Software Engineering • 2015 to 2019 |
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Allen Institute for AI, Seattle, WA • Research Intern • Jun. 2023 ~ Present |
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Adobe Research, San Jose, CA(Remote) • Research Intern • Jun. 2021 ~ Sep.2021 |
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Microsoft Research Asia, Beijing, China • Research Intern at Machine Learning group • Mar. 2018 ~ Jun.2019 |
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Conference Reviewer:
AAAI-2021 / 2023 / 2024, ICRA-2022 / 2023, ECCV-2022, CVPR-2023, ICCV-2023, NeurIPS-2023, IROS 2023, ICLR 2024
Journal Reviewer:
RAL |
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Math 155A, 3D Computer Graphics, UCSD
ECE 176, Introduction to Deep Learning & Applications, UCSD |
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Soccer: Man-United Fans |