kangyu_zhu at brown dot edu
70 Brown Street
Providence, RI 02912
Hello! I am Kangyu Zhu, a machine learning researcher working on the reliability and trustworthiness of multimodal large language models and agentic AI. I am currently at TikTok, where I build agentic AI systems for high-stakes real-world applications.
I received my Master of Science degree in Computer Science at Brown University. Before joining Brown in 2023, I earned dual degrees in Electrical Engineering from Zhejiang University and University of Illinois Urbana-Champaign.
Research Background
My research centers on reliable and trustworthy machine learning — the factuality, alignment, and robustness of large models in domains such as healthcare, where errors carry real cost.
I am currently most interested in:
- Multimodal Large Language Models — grounding, factuality, and preference alignment across vision and language.
- Agentic AI — reliable planning, tool use, and decision-making for LLM agents.
- Continual Learning & Agent Learning — how agents keep improving from experience, including in decentralized and privacy-preserving settings.
Collaborations
I’ve had the privilege of working closely with many distinguished researchers, including Prof. Timothy Miller at Boston Children’s Hospital and Harvard Medical School, Prof. Manling Li at Northwestern University, Prof. Huaxiu Yao at UNC-Chapel Hill, and Prof. Kang Li at the West China Biomedical Big Data Center. Many thanks to anyone who guided or helped me.
News
| Apr 2026 | A new preprint is available online. |
|---|---|
| Jan 2026 | One paper received the Best Paper Award at the AAAI 2026 TrustAgent Workshop and the Outstanding Paper Award at the AAAI 2026 PerFM Workshop. |
| May 2025 | I received my Master of Science degree in Computer Science from Brown University. |
| May 2025 | One paper was accepted by ICML 2025. |
| Jan 2025 | One paper was accepted by ICLR 2025 and one paper was accepted by NAACL 2025. |
| Sep 2024 | One paper was accepted by NeurIPS 2024 and one paper was accepted by EMNLP 2024. |
Publications
- AAAI’26 Workshop Best Paper Award
Is Decentralized LLM Agent RL Robust to Heterogeneity? An Asymmetric TaleIn TrustAgent@AAAI 2026, Oral · PerFM@AAAI 2026, Oral, 2026 - ICML 2025
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference OptimizationIn Proceeding of the Forty-second International Conference on Machine Learning (ICML), 2025 - NAACL 2025
Guiding Medical Vision-Language Models with Explicit Visual Prompts: Framework Design and Comprehensive Exploration of Prompt VariationsIn Proceedings of Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2025 - ICLR 2025
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language ModelsIn Proceedings of International Conference on Learning Representations (ICLR), 2025 - EMNLP 2024
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language ModelsIn Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024 - NeurIPS 2024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language ModelsIn Proceedings of the Advances in Neural Information Processing Systems (NeurIPS), 2024
Awards
| Outstanding Paper Award in the AAAI 2026 Workshop on Personalization in the Era of Large Foundation Models, for the co-first-authored paper Federated Agent Reinforcement Learning. |
| Best Paper Award in the AAAI 2026 Workshop on Trust and Control in Agentic AI, for the co-first-authored paper Federated Agent Reinforcement Learning. |
Press
| MMed-RAG was covered by Banff International Research Station, MarkTechPost, Moonlight Press, neptune.ai. |
Service
Education
| M.S. | 2023-2025 Brown University Department of Computer Science | |
| B.S. | 2019-2023 (double-degree) University of Illinois Urbana-Champaign (UIUC) Electrical Engineering with Honor. | |
| B.E. | 2019-2023 (double-degree) Zhejiang University (ZJU) Electrical Engineering and Automation, Outstanding Undergraduate Student. | |
Teaching
| Course | Role | Institution / Term |
|---|---|---|
| ECE110: Introduction to Electronics | Teaching Assistant | ZJU-UIUC Institute, Fall 2022 |