Hi! I'm Suyu (Michael) Ye, a Junior at Johns Hopkins University, advised by Professor Tianmin Shu. I'm double majoring in Computer Science and Applied Maths and Statistics, supported by a National Merit Scholarship.

My research focuses on embodied AI and human-robot collaboration. I am interested in building AI systems that can understand human intentions, perceive complex environments, and translate reasoning into real-world action. My work explores how robots can infer human goals from multi-modal interaction, ground natural language instructions into executable plans, and collaborate with people safely and effectively in dynamic environments. Ultimately, I aim to develop trustworthy robotic systems that naturally collaborate with humans, enabling assistive technologies, safer shared workspaces, and robots that can operate in environments that are difficult or dangerous for people.

News

• [Feb 2025] - Safe and Interpretable Multimodal Path Planning for Multi-Agent Cooperation preprint available on arXiv
• [Nov 2025] - RealWebAssist accepted to AAAI 2025 Main Conference
• [Nov 2025] - RealWebAssist accepted to NeurIPS 2025 LAW workshop as a spotlight paper
• [Aug 2025] - RealWebAssist preprint available on arXiv
• [Jan 2025] – MuMA-ToM accepted to AAAI 2025 as an Oral Presentation
• [Sept 2024] – Assessing the limitations of relief based algorithms in detecting higher order interactions published on BioData Mining
• [Oct 2024] – MuMA-ToM accepted to NeurIPS 2024 Video Language Workshop.
• [Oct 2024] – MuMA-ToM accepted to NeurIPS 2024 Behavioral ML workshop.

Preprints

Safe and Interpretable Multimodal Path Planning for Multi-Agent Cooperation

Haojun Shi*, Suyu Ye*, Katherine M. Guerrerio, Jianzhi Shen, Yifan Yin, Daniel Khashabi, Chien-Ming Huang, Tianmin Shu (*equal contribution)
Preprint
Paper | Website | Code

Publications

RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World Users

Suyu Ye*, Haojun Shi*, Darren Shih, Hyokun Yun, Tanya Roosta, Tianmin Shu (*equal contribution)
AAAI 2026
Paper | Website | Code

MuMA-ToM: Multi-modal Multi-Agent Theory of Mind

Haojun Shi*, Suyu Ye*, Xinyu Fang, Chuanyang Jin, Leyla Isik, Yen-Ling Kuo, Tianmin Shu (*equal contribution)
AAAI 2025 (Oral)
Paper | Website | Code

Assessing the limitations of relief-based algorithms in detecting higher-order interactions

Philip J. Freda, Suyu Ye, Robert Zhang, Jason H. Moore, Ryan J. Urbanowicz
BioData Mining
Paper