Post-Doctoral Research Beijing Institute of Technology, School of Medical Technology (Nov 2021 – Jun 2024) Co-supervisor: Chen Duanduan, Focus: Construction and Application of Medical Multi-modal Large Models. PhD in Computer Science Beijing Institute of Technology, School of Computer Science (Sep 2014 – Jun 2021) Supervisor: Liu Xiabi Dissertation: “Deep Network Structure and Its Learning Method Based on Pulmonary Nodule Detection and Lung Parenchyma Segmentation”. Bachelor’s and Master’s Degrees Changsha University of Science and Technology, School of Computer and Communication Engineering Bachelor’s Degree in Computer Science and Technology (Sep 2002 – Jun 2006), Master’s Degree in Software Engineering and Theory (Graduated Jun 2009), Research Focus: Image Processing and Pattern Recognition
š¬Research Projects
National Natural Science Foundation of China Project: Research on Intelligent Assessment Method for Stroke Risk Based on High-Risk Carotid Plaque-Complex Blood Flow Image Feature Analysis (2023-2026). Beijing Natural Science Foundation Project: Research on the Model of Acute Respiratory Distress Syndrome Assisted Diagnosis and Treatment Based on AI and Data Mining (2023-2026). Changsha Major Science and Technology Special Project Research and Application of Trustworthy Intelligent Vision Key Technologies in 5G Environment (2020-2023)
As an AI Algorithm Scientist at 3M’s Beijing Research and Development Center, I spearheaded the development of the BAX framework, a unified cross-platform AI deployment system widely adopted in biometric intelligence systems globally.
I’ve filed over 80 patents, showcasing my innovations in areas like multimodality-based medical models, facial recognition, and medical identity authentication.
With a profound focus on AI and healthcare intersections, I bring extensive theoretical knowledge in biometric technology, physiological and psychological computing, and medical assistant diagnosis.