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Hang (Alex) Zhao

Computer Scicence Visiting Ph.D. at LAMDA

About Me

This is Hang Zhao (赵航), a 25-year-old fifth-year Computer Scicence doctoral student of the National University of Defense Technology in China, and my supervisors are Prof. Kai Xu and Prof. Xin Xu. Since June 2021, I have become a visiting member of LAMDA group (led by Prof. Zhi-Hua Zhou) under the guidance of Prof. Yang Yu, at Nanjing University. Before these, I received a bachelor’s degree in Electronic Information Engineering from the Beijing Institute of Technology.

I am also looking for academic cooperation. If you are interested or have any problems, please feel free to contact me at alex.hang.zhao@gmail.com (WeChat: alex_hang_zhao).

Research Interests

Reinforcement Learning, Combinatorial Optimization, Embodied AI

News

  • 2023/8/11: The code we published has been nominated for the Outstanding Graphics Open Source Project of 2023 by the Computer-Aided Design and Computer Graphics (CAD&CG) Technical Committee of the China Computer Federation (CCF).
  • 2023/5/20: Our paper for irregular object packing has been accepted by TOG!
  • 2022/2/27: The code of our ICLR work has been released now, all kinds of feedback and any contribution is welcome!
  • 2022/2/25: I was awarded a scholarship of 30,000 yuan by Lingdi Company.
  • 2022/1/21: The work on continuous domain packing has been accepted at ICLR 2022! I independently completed this project as a student, and I genuinely take pride in the recognition it has received.

    Publications

  • “Learning Physically Realizable Skills for Online Packing of General 3D Shapes” [Paper, Code, Video]
    Hang Zhao, Zherong Pan, Yang Yu, Kai Xu
    Transactions on Graphics

  • “Learning Efficient Online 3D Bin Packing on Packing Configuration Trees” [Paper, Code, Video]
    Hang Zhao, Yang Yu, Kai Xu
    International Conference on Learning Representations, 2022

  • “Learning practically feasible policies for online 3D bin packing” [Paper]
    Hang Zhao, Chenyang Zhu, Xin Xu, Hui Huang, Kai Xu
    Science China Information Sciences

  • “Online 3D Bin Packing with Constrained Deep Reinforcement Learning” [Paper, Code, Video],
    Hang Zhao, Qijin She, Chenyang Zhu, Yin Yang, Kai Xu
    AAAI Conference on Artificial Intelligence, 2021

  • “Active scene understanding via online semantic reconstruction” [Paper]
      Lintao Zheng, Chenyang Zhu, Jiazhao Zhang, Hang Zhao, Hui Huang, Matthias Niessner, Kai Xu
    Computer Graphics Forum

Services

Conference

  • NeurIPS 2023
  • IROS 2023
  • ICLR 2024

Journal

  • IEEE Transactions on Robotics
  • International Journal of Robotics Research
  • SCIENCE CHINA Information Sciences
  • IEEE Robotics and Automation Letters
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Neural Networks and Learning Systems
  • Elsevier Journal of Information Sciences