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Zheng Xiong (熊铮)

I am a DPhil student of WhiRL at University of Oxford, advised by Prof. Shimon Whiteson. I’m also a member of AIMS CDT. I’m generally interested in improving the efficiency and generalization of reinforcement learning (RL). Currently I mainly focus on meta-RL and multi-task RL to achieve this goal, with application in domains such as robotic control and automated algorithm design.

Previously, I graduated from Tsinghua University with Bachelor in Electronic Engineering and Master in Computer Science, working on automated machine learning with Prof. Wenwu Zhu.

I'm graduating soon and looking for job opportunities. If you find my background a good fit, let's chat!

Email / Google Scholar / Github / Zhihu 知乎

Education

  • University of Oxford (2020 - Expected 2024), DPhil in Computer Science, supervised by Prof. Shimon Whiteson
  • Tsinghua University (2017 - 2020), MSc in Computer Science, supervised by Prof. Wenwu Zhu.
  • Tsinghua University (2013 - 2017), BSc in Electronic Engineering

Work Experience

  • Huawei, London (2023.8 - 2023.12)
  • Mila (2019.12 - 2020.3), advised by Prof. Jian Tang
  • University of Freiburg (2019.7 - 2019.9), advised by Prof. Frank Hutter

Publications

  • Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control
    ICML 2024
    Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao, Shimon Whiteson
    paper

  • Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning
    Filippos Christianos*, Georgios Papoudakis*, Matthieu Zimmer, Thomas Coste, Zhihao Wu, Jingxuan Chen, Khyati Khandelwal, James Doran, Xidong Feng, Jiacheng Liu, Zheng Xiong, Yicheng Luo, Jianye Hao, Kun Shao, Haitham Bou-Ammar, Jun Wang
    Paper

  • Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
    NeurIPS 2023
    Jacob Beck, Risto Vuorio, Zheng Xiong, Shimon Whiteson
    Paper

  • Universal Morphology Control via Contextual Modulation
    ICML 2023
    Zheng Xiong, Jacob Beck, Shimon Whiteson
    Paper / Code

  • A Survey of Meta-Reinforcement Learning
    Jacob Beck*, Risto Vuorio*, Evan Zheran Liu, Zheng Xiong, Luisa Zintgraf, Chelsea Finn, Shimon Whiteson
    Paper

  • On the practical consistency of meta-reinforcement learning algorithms
    NeurIPS 2021 Meta Learning Workshop
    Zheng Xiong, Luisa Zintgraf, Jacob Beck, Risto Vuorio, Shimon Whiteson
    Paper

  • Graph policy network for transferable active learning on graphs
    NeurIPS 2020
    Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang
    Paper / Code

  • Auto-Lifelong: An AutoML System for Lifelong Machine Learning
    ICML 2019 AutoML Workshop (contributed talk). The second-place winning solution to NeurIPS 2018 AutoML Challenge
    Zheng Xiong, Wenpeng Zhang, Jiyan Jiang, Wenwu Zhu
    Paper / Code