Published over 50 papers in top AI and medical imaging journals and conferences, including:
- A paper on real-time ultrasound image segmentation using foundation models accepted by MICCAI 2025 in May 2025.
- A review paper on large language model for radiology accepted by Meta-Radiology in April 2025.
- A review paper on fMRI-based brain function mapping accepted by Psychoradiology in April 2025.
- A paper on few-shot medical image segmentation accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS) in April 2025.
- A paper on GPT for Alzheimer’s disease infodemiology accepted by PLOS Global Public Health in February 2025.
- A paper on active learning accepted by Big Data Mining and Analytics (BDMA) in January 2025.
Research Experience
Senior Research Scientist at United Imaging Intelligence (UII) America from 2023 to 2025.
Education
Received Bachelor's degree from Northwestern Polytechnical University in 2017; PhD in Computer Science from the University of Georgia in 2023, supervised by Prof. Tianming Liu. Interned at Alibaba DAMO Academy in 2022 and United Imaging Intelligence in 2021 during his PhD study.
Background
Assistant Professor at the Department of Biomedical Engineering, New Jersey Institute of Technology (NJIT), focusing on AI and Medical Imaging. Research interests include Brain-inspired AI, Large Foundation Models, Vision-Language Modeling, and their applications in medical imaging.
Miscellany
Actively seeking self-motivated PhD students and interns.