Hongxin Zhang

I am Hongxin Zhang (张洪鑫), a second-year Ph.D. student in Computer Science at UMass Amherst, advised by Prof. Chuang Gan. I received my bachelor’s degree from ACM Honors Class, Shanghai Jiao Tong University. I was fortunate to be advised by Prof. Diyi Yang at Stanford during my undergraduate.

I am deeply intrigued by what distinguishes humans from other beings and from each other. My current research primarily focuses on Embodied AI and Agents, exploring questions such as:

How can we best utilize foundation models to create agentic systems?
How can we build embodied agents capable of planning and social interaction like humans?

Ultimately, my long-term goal is to deepen our understanding of the human brain by creating systems that closely reflect its capabilities, while seamlessly integrating robots into human society.

Outside of research, I enjoy reading books, playing billiards and board games.

Email / CV / Google Scholar / Twitter / Github

Professional Services

Conference Reviewer: ICML'23-25, NeurIPS'23-25, ICLR'24-25, CVPR'24-25, IROS, CoRL, RSS, ARR, COLM
Journal Reviewer: IJCV, TIP

News

[2025.06] We release Virtual Community! A platform for Embodied AI Research based on real-world 3D scenes and physically plausible simulations.
[2025.03] 3D-Mem is accepted to CVPR 2025!
[2025.01] COMBO is accepted to ICLR 2025!
[2024.12] Genesis is released!
[2024.05] Interning at Adobe for the summer

Publications

	Virtual Community: An Open World for Humans, Robots, and Society Qinhong Zhou, Hongxin Zhang, Xiangye Lin, Zheyuan Zhang, Yutian Chen, Wenjun Liu, Zunzhe Zhang, Sunli Chen, Lixing Fang, Qiushi Lyu, Xinyu Sun, Jincheng Yang, Zeyuan Wang, Bao Chi Dang, Zhehuan Chen, Daksha Ladia, Jiageng Liu, Chuang Gan Preprint Project Page \| Paper \| Code
	TesserAct: Learning 4D Embodied World Models Haoyu Zhen, Qiao Sun, Hongxin Zhang, Junyan Li, Siyuan Zhou, Yilun Du, Chuang Gan Preprint Project Page \| Paper \| Code
	COMBO: Compositional World Models for Embodied Multi-Agent Cooperation Hongxin Zhang, Zeyuan Wang, Qiushi Lyu, Zheyuan Zhang, Sunli Chen, Tianmin Shu, Yilun Du, Behzad Dariush, Kwonjoon Lee, Chuang Gan ICLR 2025* Project Page \| Paper \| Code
	3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning Yuncong Yang, Han Yang, Jiachen Zhou, Peihao Chen, Hongxin Zhang, Yilun Du, Chuang Gan CVPR 2025 Project Page \| Paper \| Code
	Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge Weihua Du, Qiushi Lyu, Jiaming Shan, Zhenting Qi, Hongxin Zhang, Sunli Chen, Andi Peng, Tianmin Shu, Kwonjoon Lee, Behzad Dariush, Chuang Gan NeurIPS 2024 Project Page \| Paper \| Code
	Building Cooperative Embodied Agents Modularly with Large Language Models Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua B. Tenenbaum, Tianmin Shu, Chuang Gan ICLR 2024 Project Page \| Paper \| Code \|
	HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments Qinhong Zhou, Sunli Chen, Yisong Wang, Haozhe Xu, Weihua Du, Hongxin Zhang, Yilun Du, Joshua B. Tenenbaum, Chuang Gan ICLR 2024 Project Page \| Paper \| Code
	SALMON: Self-Alignment with Principle-Following Reward Models Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen, David Cox, Yiming Yang, Chuang Gan ICLR 2024 Paper \| Code
	Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision Zhiqing Sun, Yikang Shen, Qinhong Zhou, Hongxin Zhang, Zhenfang Chen, David Cox, Yiming Yang, Chuang Gan NeurIPS 2023 Paper \| Code
	On Second Thought, Let’s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning Omar Shaikh, Hongxin Zhang, William Held, Michael Bernstein, Diyi Yang ACL 2023 Paper \| Code
	Werewolf Among Us: A Multimodal Dataset for Modeling Persuasion Behaviors in Social Deduction Games Bolin Lai, Hongxin Zhang, Miao Liu, Aryan Pariani, Fiona Ryan, Wenqi Jia, Shirley Anugrah Hayati, James M. Rehg, Diyi Yang ACL 2023 Findings Paper \| Code
	Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints Albert Lu, Hongxin Zhang, Yanzhe Zhang, Xuezhi Wang, Diyi Yang EACL 2023 Findings Paper \| Code
	Robustness of Demonstration-based Learning Under Limited Data Scenario Hongxin Zhang, Yanzhe Zhang, Ruiyi Zhang, Diyi Yang EMNLP 2022 Paper \| Code

Website's code is from Jon Barron.