惟此独立之精神，自由之思想，历千万祀，与天壤而同久，共三光而永光。 ——陈寅恪

About me

I am an Assistant Professor at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. I received my B.S. in Applied Physics from Zhejiang University of Technology in 2012 and my Ph.D. in Theoretical Physics from the Institute of Physics, Chinese Academy of Sciences in 2017. My research lies at the intersection of physics, mathematics, statistics, and artificial intelligence, with a particular focus on developing computational algorithms and applying AI-driven methods to scientific and engineering problems. Building on rigorous theoretical training and extensive practical experience, I have developed expertise in mathematical statistics, machine learning, and their applications to complex real-world problems. I have led research projects funded by the National Natural Science Foundation of China (NSFC) and industry partners.

Research interests

• AI + Physics: Symmetry, …
• AI + Statistics: Gaussian Process, Bayesian Neural Network, …
• AI + Biomedicine: Segmentation, Deblurring, …

News

• 🔥 I attended the SMR#4234 1st Italy–China Mathematical Bilateral Meeting, held at the Abdus Salam International Centre for Theoretical Physics (ICTP) in Trieste from 7 to 9 September 2026.
• 🔥 Our papers RoiMAM: Region-Of-Interest Medical Attention Model for Efficient Vision-Language Understanding and RIGS-Refiner: Risk-Guided Recursive Refinement in Prediction Space for Colonoscopy Polyp Segmentation are accepted by the APSIPA Annual Summit and Conference 2026.
• 🔥 Our paper Edge-SegStar: When bidirectional adaptive self-distillation meets biomedical segmentation on edge devices is accepted by Biomedical Signal Processing and Control, 2026
• 🔥 Our Paper Improving Infinitely Deep Bayesian Neural Networks with Nesterov’s Accelerated Gradient Method is accepted by 2026 3rd International Conference on Machine Learning and Intelligent Computing