Zheyuan "Brian" Zhang

I am currently doing a research intern on Embodied AI, supervised by Professor Chuang Gan. I graduated with an MS 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 Professor Joyce Chai. I was also fortunate to work with Professor Honglak Lee, Professor Freda Shi, Professor Parisa Kordjamshidi. Prior to UMich, I did a BS in Computer Science from UMass Amherst, College of Information & Computer Sciences.

Email / CV / Scholar / Twitter / Github

Research

My research is centered at the intersection of Artificial Intelligence and Cognitive Science. Currently, I am particularly interested in Embodied AI (reasoning, planning and acting in simulation and physical world, interactive learning, population, evolutionary computation), Deep Learning (algorithm and neural architecture for learning better representation, interpretability), Natural Language Processing (language grounding to vision and other modalities, evaluation of foundation language / multimodal models). I am also planning to explore AI for Science and AI for Psychology in the future.

News

[2024.10] COMFORT accepted to Pluralistic Alignment @ NeurIPS 2024.
[2024.10] EILeV accepted to Video-Language Models @ NeurIPS 2024.
[2024.09] EILeV accepted to EMNLP 2024.
[2023.10] HAR accepted to EMNLP 2023.

Preprints

	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 Pluralistic Alignment @ NeurIPS 2024* Project Page \| Paper \| Code \| Dataset
	A Combinatorial Approach to Neural Emergent Communication Zheyuan Zhang arXiv, 2024 Paper
	COMBO: Compositional World Models for Embodied Multi-Agent Cooperation Hongxin Zhang, Zeyuan Wang, Qiushi Lyu, Zheyuan Zhang, Sunli Chen, Tianmin Shu, Yilun Du, Chuang Gan arXiv*, 2024 Project Page \| Paper \| Code

Publications

	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 @ NeurIPS 2024 Paper \| Code
	HAR: 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
	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

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

Graduate Student Instructor (GSI), EECS 492 (Introduction to Artificial Intelligence)
Winter 2024, Fall 2023

Textbook: Artificial Intelligence: A Modern Approach, 4th Edition

Academic Services

Conference Reviewer: ICLR 2025, NeurIPS 2024 Workshop

Misc

Placeholder

Source code borrowed from Jon Barron's website.