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Zheyuan "Brian" Zhang I am an incoming Ph.D. student in Computer Science at the Johns Hopkins University, advised by Prof. Tianmin Shu and Prof. Daniel Khashabi. I graduated with an M.S. in Robotics from the Robotics Institute and a Graduate Certificate in Cognitive Science from the Weinberg Institute for Cognitive Science at the University of Michigan. I was a research assistant at the Situated Language and Embodied Dialogue (SLED) lab, advised by Prof. Joyce Chai. I was also fortunate to work with Prof. Chuang Gan, Prof. Honglak Lee, Prof. Freda Shi, Prof. Parisa Kordjamshidi. I did a BS in Computer Science from UMass Amherst, College of Information & Computer Sciences. |
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ResearchI am fascinated with understanding natural intelligence through computational modeling. My current research interests are centered around Embodied AI, Multimodality, and Language, with the goal to create Scalable Cognitive Agents that perceive, act, and learn like humans in physical and virtual worlds. |
News
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Publications and Preprints* → equal contribution |
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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 Project Page | Code |
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Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference Under Ambiguities
Zheyuan Zhang*, Fengyuan Hu*, Jayjun Lee*, Freda Shi, Parisa Kordjamshidi, Joyce Chai, Ziqiao Ma International Conference on Learning Representations (ICLR), 2025 (Oral) Pluralistic Alignment @ NeurIPS 2024 Project Page | Paper | Code | Dataset |
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COMBO: Compositional World Models for Embodied Multi-Agent Cooperation
Hongxin Zhang*, Zeyuan Wang*, Qiushi Lyu*, Zheyuan Zhang, Sunli Chen, Tianmin Shu, Behzad Dariush, Kwonjoon Lee, Yilun Du, Chuang Gan International Conference on Learning Representations (ICLR), 2025 Project Page | Paper | Code |
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Explainable Procedural Mistake Detection
Shane Storks, Itamar Bar-Yossef, Yayuan Li, Zheyuan Zhang, Jason J. Corso, Joyce Chai Knowledgeable Foundation Models Workshop @ ACL, 2025 Paper | Code |
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A Combinatorial Approach to Neural Emergent Communication
Zheyuan Zhang International Conference on Computational Linguistics (COLING), 2025 Paper |
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EILeV: Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties
Keunwoo Peter Yu, Zheyuan Zhang, Fengyuan Hu, Shane Storks, Joyce Chai Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Video-Language Models Workshop @ NeurIPS 2024 Paper | Code |
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From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning
Zheyuan Zhang*, Shane Storks*, Fengyuan Hu, Sungryull Sohn, Moontae Lee, Honglak Lee, Joyce Chai Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Paper | Code |
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Low-cost Solution for Vision-based Robotic Grasping
Zheyuan Zhang, Huiliang Shang International Conference on Networking Systems of AI (INSAI), IEEE Computer Society, 2021 (Second Prize) Paper | Code (110 ) |
Other Projects |
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Bot Lab: Autonomous Ground Vehicle from Low-level Control, SLAM to Planning and Exploration
Zheyuan Zhang, Yu Zhu, Manu Aatitya Raajan Priyadharshini, Thirumalaesh Ashokkumar ROB 550 (Robotic Systems Laboratory), University of Michigan, 2022 Paper |
Teaching |
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Graduate Student Instructor (GSI), EECS 492 (Introduction to Artificial Intelligence), University of Michigan
Winter 2024, Fall 2023 Textbook: Artificial Intelligence: A Modern Approach, 4th Edition |
Academic Services
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My hobbies
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Source code borrowed from Jon Barron's website. |