About Me
I am Hang Zhao （赵航）, currently conducting postdoctoral research at Wuhan University. 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 earned my Bachelor’s degree in Electronic Information Engineering from the Beijing Institute of Technology (BIT).
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
Embodied AI, Reinforcement Learning, Combinatorial Optimization
News
- 2024/4/21: I was honored with the Outstanding Poster Award at China3DV, ranking first among 100 participants.
- 2023/12/1: I was awarded 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 was 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.
Publications
“Learning Physically Realizable Skills for Online Packing of General 3D Shapes” [Paper, Code, Video]
Hang Zhao, Zherong Pan, Yang Yu, Kai Xu
ACM 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“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
- “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
- “PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation”
Wenxuan Li, Hang Zhao, Zhiyuan Yu, Yu Du, Qin Zou, Ruizhen Hu, Kai Xu
Submitted to RSS 2025
- “Designing Pin-pression Gripper and Learning its Dexterous Grasping with Online In-hand Adjustment”
Hewen Xiao, Xiuping Liu, Jian Liu, Hang Zhao, Kai Xu
Submitted to SIGGRAPH 2025
Services
Conference
- SIGGRAPH 2024, SIGGRAPH Asia 2024
- NeurIPS 2023, 2024
- 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