👋Hi there, I am Zhiwei Shang (尚致违), currently a research assistant at Intelligent Transportation (INTR) Thrust in the System Hub, Hong Kong University of Science and Technology (Guangzhou campus), supervised by Prof. Meixin Zhu.

Before this, I received Master of Electronic and Information Engineering in Computer Technology from University of Chinese Academy of Sciences in 2023, supervised by Prof. Yunduan Cui. I received Bachelor of Engineering in Hydrology and Water Resources Engineering from Sichuan University in 2020.

My research interests lie in the engineering applications of artificial intelligence, especially reinforcement learning, and in particular in the development of robust and efficient control algorithms for autonomous vehicles and robots operating in complex environments.

📖 Educations

  • 2020.09 - 2023.06, University of Chinese Academy of Sciences (UCAS), Master of Electronic and Information Engineering in Computer Technology.
  • 2016.09 – 2020.06, Sichuan University (SCU), Bachelor of Engineering in Hydrology and Water Resources Engineering.

💼 Experiences

  • 2023.08 - present, Hong Kong University of Science and Technology (HKUST), Guangzhou Campus, Research Assistant.

🔥 News

  • 2024.03:   🎉🎉 One paper is accepted by the 35th IEEE Intelligent Vehicles Symposium (IV 2024).

📝 Publications

* Co-first author, ✉️ Corresponding author.

Working Papers

  • Effective Reinforcement Learning Control using Conservative Soft Actor-Critic.
    Zhiwei Shang* , Yunduan Cui*, Wenjun Huang, Meixin Zhu✉️, Chenjia Bai, Di Chen, Xinyi Yuan.
    Submitted to 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)

Published / Accepted Papers

  • Learning Realistic and Reactive Traffic Agents.
    Meixin Zhu✉️, Di Chen, Xinyi Yuan, Zhiwei Shang, Chenxi Liu.
    35th IEEE Intelligent Vehicles Symposium (IV 2024)

  • Relative Entropy Regularized Sample-Efficient Reinforcement Learning With Continuous Actions.
    Zhiwei Shang, Renxing Li, Chunhua Zheng, Huiyun Li, Yunduan Cui✉️.
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 | [Paper]

  • Efficient distributional reinforcement learning with Kullback-Leibler divergence regularization.
    Li Renxing, Zhiwei Shang, Chunhua Zheng, Huiyun Li, Qing Liang, Yunduan Cui✉️.
    Applied Intelligence, 2023 | [Paper]

  • Dynamic Policy Programming with Descending Regularization for Efficient Reinforcement Learning Control.
    Renxing Li, Zhiwei Shang, Chunhua Zheng, Huiyun Li, Qing Liang, Yunduan Cui✉️.
    5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI 2022) | [Paper]

  • Shiftable Dynamic Policy Programming for Efficient and Robust Reinforcement Learning Control.
    Zhiwei Shang, Huiyun Li, Yunduan Cui✉️.
    2021 IEEE International Conference on Robotics and Biomimetics (ROBIO 2021) | [Paper]

🎖 Awards

  • 2022.12, Outstanding Graduate Student Award of Dean’s Innovation Award of Shenzhen Institute of Advanced Integration Technology, Chinese Academy of Sciences and The Chinese University of Hong Kong (There are only 17 people in the whole institute).
  • 2019.05 Outstanding Project of Provincial Student Innovation and Entrepreneurship Training Program (Top 10%)

💬 Talks

  • 2024.04, Guest Lecture of Reinforcement Learning, Hong Kong University of Science and Technology, Guangzhou Campus.

💻 Services

Journal Reviewer

  • IEEE Transactions on Intelligent Vehicles (T-IV)