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Hang (Alex) Zhao

Wuhan University

About Me

I am Hang Zhao (赵航), currently a postdoctoral researcher at Wuhan University, working in collaboration with Professor Kai Xu from NUDT. I received my Ph.D. in Computer Science in 2025 from NUDT, under the supervision of Professor Kai Xu. Upon the recommendation of Professor Xin Xu, I served as a visiting researcher in LAMDA group led by Professor Zhi-Hua Zhou at Nanjing University, under the guidance of Professor Yang Yu, from June 2021 to March 2024. Prior to my doctoral studies, I completed my Bachelor’s degree at the Beijing Institute of Technology (BIT).

We are hiring PhD, Msc, and visiting students in embodied intelligence. Our group is research-driven, offering active academic mentoring, ample computational resources, and a focus on valuable, exciting research topics. Students working with us have published in top-tier venues such as SIGGRAPH and RSS, or received perfect review scores for their papers. If you are interested, please drop me an email at hangzhao@whu.edu.cn, alexfrom0815@gmail.com (WeChat: alex_hang_zhao).

Research Interests

Industrial Embodied Intelligence, Reinforcement Learning, Combinatorial Optimization

News

  • 2025/6/11: I am honored as Outstanding Graduate of Hunan Province.
  • 2025/6/7: 获人社部“博新计划”资助.
  • 2025/4/30: Our paper “Learning Practically Feasible Policies for Online 3D Bin Packing” is selected as an Outstanding Paper of the Year (Two-Year Hot Paper) by Science China Information Sciences.
  • 2024/4/21: We are honored with the Outstanding Poster Award at China3DV, ranking first among 100 participants.
  • 2023/12/1: I am awarded with National Scholarship for Ph.D. students.
  • 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 ACM 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 am awarded Lingdi Scholarship of 30,000 yuan.
  • 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.
  • 2019/6/1: I am honored as Outstanding Graduate of Beijing.
  • 2018/11/1: I am awarded with National Scholarship for undergraduate students.

Publications

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  • DISCO: Efficient Diffusion Solver for Large-Scale Combinatorial Optimization Problems [Paper]
  • Hang Zhao, Kexiong Yu, Yuhang Huang, Renjiao Yi, Chenyang Zhu, Kai Xu
  • Graphical Models
  • CAD/Graphics Best Paper, CCF Distinguished Paper
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  • PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation [Paper]
  • Wenxuan Li, Hang Zhao*, Zhiyuan Yu, Yu Du, Qin Zou, Ruizhen Hu, Kai Xu
  • Robotics: Science and Systems 2025
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  • Designing Pin-pression Gripper and Learning its Dexterous Grasping with Online In-hand Adjustment [Paper]
  • Hewen Xiao, Xiuping Liu, Hang Zhao*, Jian Liu, Kai Xu
  • SIGGRAPH 2025
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  • Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration [Paper]
  • Xiong-Hui Chen, Junyin Ye, Hang Zhao*, Yi-Chen Li, Xu-Hui Liu, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Yang Yu, Anqi Huang, Kai Xu, Zongzhang Zhang
  • International Conference on Machine Learning, 2024
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  • Learning Physically Realizable Skills for Online Packing of General 3D Shapes [PaperCodeVideo]
  • Hang Zhao, Zherong Pan, Yang Yu, Kai Xu
  • ACM Transactions on Graphics
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  • Learning Efficient Online 3D Bin Packing on Packing Configuration Trees [PaperCodeVideo]
  • Hang Zhao, Yang Yu, Kai Xu
  • International Conference on Learning Representations, 2022
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  • Learning practically feasible policies for online 3D bin packing [Paper]
  • Hang Zhao, Chenyang Zhu, Xin Xu, Hui Huang, Kai Xu
  • Science China Information Sciences
  • ESI Highly Cited Paper, Outstanding Paper of the Year (Two-Year Hot Paper)
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  • Learning Efficient Online 3D Bin Packing on Packing Configuration Trees [PaperCodeVideo]
  • Hang Zhao, Qijin She, Chenyang Zhu, Yin Yang, Kai Xu
  • AAAI Conference on Artificial Intelligence, 2021
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  • 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

Under Review

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  • Deliberate Planning of 3D Bin Packing on Packing Configuration Trees [Paper]
  • Hang Zhao, Juzhan Xu, Kexiong Yu, Ruizhen Hu, Chenyang Zhu, Bo Du, Kai Xu
  • Submitted to International Journal of Robotics Research

Services

Conference

  • SIGGRAPH 2024, SIGGRAPH Asia 2024
  • NeurIPS 2023, 2024, 2025
  • AAAI 2025
  • IROS 2023
  • ICLR 2024, 2025
  • AISTATS 2025

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
  • 自动化学报