Hi! I am Hairong Shi (史海容). I am a first-year Master’s student in Computer Science at Keio University, where I am fortunate to be supervised by Professor Komei Sugiura. My research interests lie in Multimodal Large Language Models and Computer Vision.
I am a member of SMILAB@Keio University since September 2025. I received my Bachelor’s degree in Biomedical Engineering from the School of Biological Science and Medical Engineering at Beihang University. During my undergraduate studies, I had the privilege of working as a Research Assistant for two years at Colab@Beihang with Professor Si Liu. I have also gained industry experience as an AIGC Research Intern at RightBrain.AI.
🔥 News
- 2025.03: 🎉🎉 Started my AIGC Research Internship at RightBrain.AI.
- 2024.12: 🎉🎉 Our paper “VideoEspresso” was accepted to CVPR 2025 as an Oral presentation (Top 0.7%)!
- 2024.06: 🎉🎉 Our paper “Mask-Enhanced Segment Anything Model” was accepted to MICCAI 2024!
📝 Publications

Songhao Han, Wei Huang, Hairong Shi, Le Zhuo, Xiu Su, Shifeng Zhang, Xu Zhou, Xiaojuan Qi, Yue Liao, Si Liu

Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation
Hairong Shi, Songhao Han, Shaofei Huang, Yue Liao, Guanbin Li, Xiangxing Kong, Hua Zhu, Xiaomu Wang, Si Liu
🎖 Honors and Awards
- 2025.06 Outstanding Graduate Prize, Beihang University
- 2024.06 Academic Excellence Scholarship (Second Prize), Beihang University
- 2023.10 Voyage Program Scholarship, Beihang University
- 2023.06 Academic Excellence Scholarship (Second Prize), Beihang University
- 2022.06 Academic Excellence Scholarship (First Prize), Beihang University
📖 Education
- 2025.09 - 2027.09 (Expected), Master of Computer Science, Keio University, Japan
- 2021.09 - 2025.06, Bachelor of Biomedical Engineering (Medical Artificial Intelligence), Beihang University, China
- GPA: 3.78/4.0 (Top 5%), Rank: 4/72
🔬 Research Experience
- 2023.09 - 2025.03, Research Assistant, Colab@Beihang, supervised by Prof. Si Liu
- Focused on video understanding and medical image segmentation. Contributed to the “VideoEspresso” and “M-SAM” projects, leading to publications at CVPR and MICCAI.
- 2023.04 - 2023.07, Research Assistant, Beihang University, supervised by A.P. Guanglei Zhang
- Conducted research on [briefly describe the topic, e.g., ‘biomaterial data analysis using machine learning techniques’].
💻 Internships
- 2025.03 - 2025.07, AIGC Research Intern, RightBrain.AI, Beijing, China
- Developed and experimented with generative models for [e.g., ‘image synthesis and style transfer’].
- 2024.07 - 2024.09, Medical MLLM Research Intern, United Imaging Intelligence, Beijing, China
- Contributed to the development of a Multimodal Large Language Model for [e.g., ‘medical report generation and diagnostic assistance’].
💪 Skills
- Programming: Python (PyTorch, Hugging Face Transformers, timm), C++
- Languages:
- Mandarin Chinese (Native)
- English (IELTS: 7.0)
- Japanese (JLPT N2)
📧 Contact
- Email: shihr1025@gmail.com (Primary), 21375328@buaa.edu.cn
- GitHub: https://github.com/nanase1025