Several papers accepted in 2025, including in Artificial Intelligence Review, ICDM Workshop, MLMI (1 oral, 1 poster), Quantitative Biology, MICCAI (4 papers, 2 early accept), AAIC abstract, and ISBI (1 oral, 3 posters). Specific paper titles include: 'Bridging Brain Connectomes and Clinical Reports for Early Alzheimer’s Disease Diagnosis', 'Brain-Adapter: Enhancing Neurological Disorder Analysis with Adapter-Tuning Multimodal Large Language Models', etc.
Research Experience
Member of the Medical Imaging and Neuroscientific Discovery Laboratory (MIND), working on the development of Multimodal Large Models for brain image analysis, focusing on early detection of neurodegenerative diseases.
Education
PhD Student, University of Texas at Arlington, Department of Computer Science and Engineering, Advisor: Dr. Dajiang Zhu, Time: Current
Background
A second-year PhD student in the Department of Computer Science and Engineering at the University of Texas at Arlington, advised by Dr. Dajiang Zhu. Research interests include the development of Multimodal Large Models for brain image analysis, particularly focusing on MRI and PET scans. Also interested in DTI-fMRI image analysis, dedicated to unraveling the complex relationships between brain function and structure through deep learning technologies.
Miscellany
Happy to collaborate if there is a match in research interests.