Scholar
Mingze Yuan
Google Scholar ID: Xt-8KiYAAAAJ
Harvard University
Citations & Impact
Citations
242
H-index
8
i10-index
8
Publications
16
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- Published several papers, including:
- - PIRF: Physics-Informed Reward Fine-Tuning for Diffusion Models (NeurIPS workshop in AI4Science, 2025)
- - RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models (NeurIPS, 2025)
- - Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review (Medicine Plus, 2024)
- - Advanced prompting as a catalyst: Empowering large language models in the management of gastrointestinal cancers (The Innovation Medicine, 2023)
- - Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization (CVPR, 2023)
- - Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans (MICCAI, 2023)
- - Unsupervised Image Denoising with Score Function (NeurIPS, 2023)
- - Diffusion Model for Generative Image Denoising (arXiv preprint, 2023)
- Awards:
- - Gold Medal, the 32nd China Mathematics Olympiad (CMO), 2016
- - China National Scholarship, Peking University, 2023
- - Challenge Winner Award (Champion), CrossMoDA, MICCAI 2022
Research Experience
- Interned at Alibaba DAMO Academy's medical AI lab led by Dr. Le Lu.
Education
- B.S. in Statistics and M.S. in Data Science from Peking University, advised by Prof. Bin Dong; Ph.D. student in Computer Science at Harvard SEAS, co-advised by Prof. Na Li and Prof. Quanzheng Li from Harvard Medical School.
Background
- Research interests include generative modeling and its applications in scientific domains, with a focus on AI for drug design. Also has experience in image segmentation and medical image analysis.
