About Me

Welcome to my personal page! I am a research scientist at Alibaba-NTU Singapore Joint Research Institute, Nanyang Technological University (NTU), Singapore, where I explore the exciting intersection of artificial intelligence and medicine. My research focuses on leveraging advanced AI technologies for disease diagnosis, treatment optimization, and patient monitoring. I have a particular interest in vision-language large models and diffusion models, aiming to push the boundaries of AI applications in healthcare.

Before joining NTU, I worked as an associate researcher at the HDMI Lab of Pazhou Lab and South China University of Technology, collaborating with Prof. Xu Yanwu on multi-modal ophthalmic image analysis and technology translation. I also honed my engineering skills as a senior engineer at Baidu. I earned both my B.S. and Ph.D. degrees from Beijing Institute of Technology, China, in 2015 and 2020, respectively. During my doctoral journey, I conducted research on coronary vascular structure analysis under the mentorship of Prof. Yang Jian at the Augmented Reality & Intelligent Medicine Lab.

Feel free to reach out—I’d love to connect and discuss ideas!

RECENT NEWS

• [01/2025] One paper accepted by ISBI 2025: “Adapting Segment Anything 2 for Diabetic Retinopathy Lesion Segmentation in Ultra-High Resolution Fundus Images”. Congratulations to Chen Ying.
  
• [10/2024] One paper accepted by BIBM 2024: “BA-SAM: Boundary-Aware Adaptation of Segment Anything Model for Medical Image Segmentation”. Congratulations to Chen Ying.
  
• [10/2024] The OMIA11 Workshop and STAGE2 Challenge on MICCAI 2024 were successfully held in Marrakech, Morocco.
  
• [09/2024] One paper accepted by Science Bulletin: “Multi-rater prism: Learning self-calibrated medical image segmentation from multiple raters”.
  
• [06/2024] One paper accepted by MICCAI 2024: “Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation”. Congratulations to Li Xiang.
  
• [05/2024] One paper early accepted by MICCAI 2024: “Diffusion-Enhanced Transformation Consistency Learning for Retinal Image Segmentation”. Congratulations to Li Xiang.