Beining Han

Beining Han (韩贝宁)

I'm a Ph.D. candidate in Computer Science at Princeton University, advised by Prof. Jia Deng. Previously, I recieved B.Eng. in Yao Class at Tsinghua University in 2022. It was my pleasure to work with Prof. Chongjie Zhang, Prof. Jian Peng, Prof. Yuan Zhou, Prof. Jimmy Ba, Prof. Chelsea Finn during my undergrad. I am interning at NVIDIA Robotics Lab (Seattle) in Summer 2025.

Email / Scholar / Github

Research

I'm broadly interested in AI for robotics, especially for robot manipulation.

	Zero-shot Sim2Real Transfer for Magnet-Based Tactile Sensor on Insertion Tasks Beining Han, Abhishek Joshi, Jia Deng arXiv, 2025
	Infinigen-Sim: Procedural Generation of Articulated Simulation Assets Abhishek Joshi, Beining Han, Jack Nugent, Yiming Zuo, Jonathan Liu, Hongyu Wen, Stamatis Alexandropoulos, Tao Sun, Alexander Raistrick, Gaowen Liu, Yi Shao, Jia Deng arXiv, 2025
	Rebar Grasp Detection Using a Synthetic Model Generator and Domain Randomization Tao Sun, Beining Han, Szymon Rusinkiewicz, Yi Shao Automation in Construction, 2025
	FetchBench: A Simulation Benchmark for Robot Fetching Beining Han, Meenal Parakh, Derek Geng, Jack A Defay, Gan Luyang, Jia Deng The Conference On Robot Learning (CORL), 2024
	Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation Alexander Raistrick, Lingjie Mei, Karhan Kayan, David Yan, Yiming Zuo, Beining Han, Hongyu Wen, Meenal Parakh, Stamatis Alexandropoulos, Lahav Lipson, Zeyu Ma, Jia Deng The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)*, 2024
	Infinite Photorealistic Worlds using Procedural Generation Alexander Raistrick, Lahav Lipson, Zeyu Ma, Lingjie Mei, Mingzhe Wang, Yiming Zuo, Karhan Kayan, Hongyu Wen, Beining Han, Yihan Wang, Alejandro Newell, Hei Law, Ankit Goyal, Kaiyu Yang, Jia Deng The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)*, 2023
	Off-policy Reinforcement Learning with Delayed Rewards Beining Han, Zhizhou Ren, Zuofan Wu, Yuan Zhou, Jian Peng Proceedings of the 39th International Conference on Machine Learning (ICML), 2022
	Towards Understanding Cooperative Multi-agent Q-learning with Value Factorization Jianhao Wang, Zhizhou Ren, Beining Han, Jianing Ye, Chongjie Zhang Advances in Neural Information Processing Systems 34 (NeurIPS) , 2021
	Learning Domain Invariant Representations in Goal-conditioned Block MDPs Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael Zhang, Jimmy Ba Advances in Neural Information Processing Systems 34 (NeurIPS) , 2021
	On the Estimation Bias in Double Q-Learning Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang Advances in Neural Information Processing Systems 34 (NeurIPS) , 2021
	DOP: Off-Policy Multi-Agent Decomposed Policy Gradients Beining Han, Yihan Wang, Tonghan Wang, Heng Dong, Chongjie Zhang International Conference on Learning Representations* , 2020

Design and source code from Jon Barron.