About
Hi! I'm Suyu (Michael) Ye, a Sophomore 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 interests are Human-Computer Interaction (HCI), multi-modal learning, and multi-agent systems. I'm particularly interested in studying human behaviors to build AI systems that interact naturally, understand complex social and multi-modal contexts, and collaborate effectively with people. My goal is to develop safe and reliable AI systems that enhance daily life.
News
- [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.
Publications

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. UrbanowiczBioData Mining
Paper

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)arXiv preprint
Paper | Website | Code