Yan XIONG(熊琰)

Yan XIONG(熊琰)

Ph.D. student from the University of Chinese Academy of Sciences

University of Chinese Academy of Sciences

Biography

Dr. Yan Xiong is currently a Ph.D. student from the University of Chinese Academy of Sciences, P.R. China, sponsored by both the China Scholarship Council and EPFL, studying at EPFL as a visiting Ph.D. student. His main research forcus on intelligent control of gyroscopes using model-based reinforcement learning, intelligent thermal control based on deep reinforcement learning for space load, and engineering applications of AI, such as robotic systems, spacecraft strategic planning, etc.

熊琰博士目前是中国科学院大学的博士生，由国家留学基金委和瑞士洛桑联邦理工学院共同资助，作为访问博士生在瑞士洛桑联邦理工学院学习。他的主要研究方向为基于模型的强化学习的陀螺仪智能控制，基于深度强化学习的空间载荷智能热控制，以及人工智能的工程应用，如机器人系统、航天器战略规划等。

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Interests
  • Spacecraft Thermal Control
  • Intelligent Control
  • Deep Reinforcement Learning
  • Multi-Agent Systems
  • Engineering Applications of Artificial Intelligence
Education

  • Ph.D. in Mechanical Manufacturing and Automation, 2018 - 2022

    University of Chinese Academy of Sciences

  • Visiting Ph.D. in Mechanical Manufacturing and Automation, 2021 - 2022

    École Polytechnique Fédérale de Lausanne

  • MEng in Mechanical Manufacturing and Automation, 2016 - 2018

    University of Chinese Academy of Sciences

  • BSc in Mechanical Manufacturing and Automation, 2011 - 2015

    Shenyang Agricultural University

Recent Publications

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Yan XIONG(熊琰), Liang Guo, Defu Tian (2021). Application of Deep Reinforcement Learning to Thermal Control of Space Telescope. In JTSEA.

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Shuang Yang, Changshuai Du, Xianwei Yang, Chunlong Liu, Yan XIONG(熊琰) (2021). Thermal design of space solar telescope. In ILE.

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Shuang Yang, Changshuai Du, Xianwei Yang, Chunlong Liu, Yan XIONG(熊琰), Richa Hu, Xusheng Zhang, Yong Huang, Liang Guo (2021). Thermal Control of Primary Mirror of Space Solar Telescope. In JTHT.

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Yuting Yang, Liheng Chen, Yan XIONG(熊琰), Shijun Li, Xu Meng (2020). Global Sensitivity Analysis Based on BP Neural Network for Thermal Design Parameters. In JTHT.

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Yan XIONG(熊琰), Liang Guo, Defu Tian, Yang Zhang, Chunlong Liu (2020). Intelligent Optimization Strategy Based on Statistical Machine Learning for Spacecraft Thermal Design. In IEEE Access.

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Popular Topics

Academic Website Bayesian Optimization Deep Learning Deep Reinforcement Learning Global Sensitivity Analysis In-Orbit Assembly Infrared Telescope Machine Learning MATLAB Measured NX/TMG Orbital Assembled Telescope PID Python Radiator Reinforcement Learning Space telescope Spacecraft Thermal control Spacecraft Thermal Design Surrogate Model

Contact

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