Kai WU
Researcher at ByteDance
I am a researcher at ByteDance, where I lead initiatives in medical multimodal large language models. My work focuses on developing personal agentic medical AI systems capable of understanding and reasoning over complex medical data across multiple modalities, driving innovation at the intersection of artificial intelligence and healthcare.
I received my M.S. from the University of Wisconsin–Madison, where I was fortunate to be advised by Prof. Leyuan Shi and Prof. Xin Wang. 🚀 I am also a Kaggle Master.
🎉🎊 MedXIAOHE is hiring! We are seeking talented individuals with expertise in LLMs, MLLMs, Medical AI for scientific applications, and AI Agents. 🎊🎉
news
| Feb 13, 2026 | We published the MedXIAOHE Tech Report - A Comprehensive Recipe for Building Medical MLLMs |
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| Jan 15, 2026 | Two papers accepted by ICLR 2026! |
| Oct 15, 2025 | |
| Feb 15, 2025 | Our paper CustAny accepted as Oral at CVPR 2025! |
| Jun 15, 2024 | |