Yuxing Wang (王昱兴)

Research Assistant @ Tsinghua University

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您好 Привет Hello Bonjour Ciao こんにちは 안녕하세요 Hallo Hola

As a research assistant at Tsinghua University, my passion lies in Robotics, Evolutionary Reinforcement Learning and, Embodied AI. I aim to develop intelligent robotic systems that dynamically adapt their morphologies and behaviors. Through this lens, I create magic for co-designing the brain and body of various embodied agents.

I received the B.Eng. degree from Southwest Minzu University, P.R. China, in 2020, and the M.Eng. degree from Tsinghua University, P.R. China, in 2023 (advised by Prof. Xueqian Wang). My industry experience includes being a research intern at Tencent AI Lab from May 2022 to May 2023, where I collaborated with Shuang Wu and Haobo Fu. My internship was supported by the 2022 Tencent Rhino-Bird Research Elite Program, and my work focused on generating user-specified behavioral diversity for Game AI.

My favorite singer is Hikaru Utada, I like watching movies and talk shows. Feel free to drop me an email if you are interested in my research or related ideas :smile:.

News

Aug 07, 2024 Served as a program committee for AAAI 2025 and ICLR 2025.
May 23, 2024 I was invited to give a talk about Brain-Body Co-Design at The Chinese University of Hong Kong, Shenzhen {PPT}.
Apr 05, 2024 Three oral papers got accepted to International Astronautical Congress (IAC) 2024. See you in Milano-Italy!
Jan 15, 2024 Served as a reviewer for ICML 2024 and RSS 2024.
Sep 26, 2023 One paper got accepted (Oral, Top 6.6%) to CoRL 2023.
Sep 15, 2023 Served as a reviewer for ICLR 2024
Jun 30, 2023 Completed my master’s thesis defense in Tsinghua University.
May 20, 2023 Served as a reviewer for NIPS 2023.
May 05, 2023 One paper got accepted to IEEE TNNLS.
Apr 30, 2023 Finished one-year research internship at Tencent AI Lab.

Selected Publications

  1. IAC
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    Morphology and Behavior Co-Optimization of Modular Satellites for Attitude Control
    Yuxing Wang, Jie Li, Cong Yu, Xinyang Li, Simeng Huang, Yongzhe Chang, Xueqian Wang, and Bin Liang
    The 75th International Astronautical Congress (IAC), 2024
  2. TNNLS
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    Dynamics-adaptive continual reinforcement learning via progressive contextualization
    Tiantian Zhang, Zichuan Lin, Yuxing Wang, Deheng Ye, Qiang Fu, Wei Yang, Xueqian Wang, Bin Liang, Bo Yuan, and Xiu Li
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
  3. CoRL
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    PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training
    Yuxing Wang, Shuang Wu, Tiantian Zhang, Yongzhe Chang, Haobo Fu, Qiang Fu, and Xueqian Wang
    In Conference on Robot Learning (CoRL) , 2023
  4. ICLR
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    Curriculum-based co-design of morphology and control of voxel-based soft robots
    Yuxing Wang, Shuang Wu, Haobo Fu, Qiang Fu, Tiantian Zhang, Yongzhe Chang, and Xueqian Wang
    In The Eleventh International Conference on Learning Representations (ICLR) , 2023
  5. InS
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    A surrogate-assisted controller for expensive evolutionary reinforcement learning
    Yuxing Wang, Tiantian Zhang, Yongzhe Chang, Xueqian Wang, Bin Liang, and Bo Yuan
    Information Sciences (InS), 2022