I am a second year Computer Science PhD student at USC, advised by Volkan Ustun and William Swartout. My research focuses on agentic AI in multi-agent environments, aiming to bridge the gap between humans and artificial agents to foster a collaborative future where both can thrive. I currently explore autonomous agent systems powered by large language models, cooperative and competitive multi-agent learning, human-AI teaming and collaborative intelligence, and modeling human preferences in reinforcement learning and sequential decision-making.
Prior to joining USC, I worked a year as a Software Engineer at Bubble.io, where I developed LLM-Agents for LCNC interactive web development. I also conducted research in machine learning and robotics during my master's at Columbia University's Creative Machines Lab advised by Hod Lipson.
Preprints
X-Ego: Acquiring Team-Level Tactical Situational Awareness via Cross-Egocentric Contrastive Video Representation Learning
Yunzhe Wang,Soham Hans,Volkan UstunPreprint
Individualized Cognitive Simulation in Large Language Models: Evaluating Different Cognitive Representation Methods
Tianyi Zhang,Xiaolin Zhou,Yunzhe Wang,Erik Cambria,David Traum,Rui MaoPreprint
Recent Publications
Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd Simulations
Yunzhe Wang,Gale M. Lucas,Burcin Becerik-Gerber,Volkan UstunEMNLP 2025
A Data-Driven Discretized CS:GO Simulation Environment to Facilitate Strategic Multi-Agent Planning Research
Yunzhe Wang,Volkan Ustun,Chris McGroartyWSC 2025
Reconfigurable Robot Identification from Motion Data
Yuhang Hu,Yunzhe Wang,Ruibo Liu,Zhou Shen,Hod LipsonIROS 2024
Human-Robot Facial Co-expression
Yuhang Hu,Boyuan Chen,Jiong Lin,Yunzhe Wang,Yingke Wang,Cameron Mehlman,Hod LipsonScience Robotics 2024
Route Optimization in Service of a Search and Rescue Artificial Social Intelligence Agent
Yunzhe Wang,Nikolos Gurney,Jincheng Zhou,David V. Pynadath,Volkan UstunAAAI-FSS 2021
Services
Technical Program Committee (TPC) Member/Reviewer
- International Conference on Learning Representations (ICLR) 2025, 2026
- Association for the Advancement of Artificial Intelligence (AAAI) 2025, 2026
- Conference on Empirical Methods in Natural Language Processing (EMNLP) 2025
- International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2025, 2026
- Conference on Neural Information Processing Systems (NeurIPS) 2026
- IEEE Symposium Series on Computational Intelligence 2025
- IEEE Symposium on Computational Intelligence in Natural Language Processing and Social Media (CINLPSoMe) 2025
- IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2025
- IEEE International Workshop on Machine Learning for Signal Processing (MLSP) 2025, 2026
- Conference on Neural Information Processing Systems (NeurIPS) 2024 Workshop Foundation Models for Science






