About
Jun Liu is a Professor and Chair of Digital Health at Lancaster University's School of Computing and Communications. He holds a PhD from Nanyang Technological University (NTU), an MSc from Fudan University, and a BEng from Central South University. His research focuses on computer vision, machine learning, and digital health, with notable contributions to image segmentation, AI security, and multimodal learning. He leads the VL Group (https://wp.lancs.ac.uk/vl/) and supervises 5 postgraduate students.
Education: PhD (NTU), MSc (Fudan), BEng (Central South University).
Research Interests: His work spans AI-driven healthcare solutions, adversarial defense in vision-language models, and advanced computer vision techniques. He has pioneered methods like LLaFS++ for few-shot image segmentation and developed frameworks to combat jailbreak attacks in large models.
Publications: Over 123 peer-reviewed articles, including high-impact work in IEEE Transactions and ACM journals. Recent trends focus on AI-generated content analysis, robust model security, and cross-modal learning.
- Awards: Best Paper Awards (PREMIA 2016/2019), IEEE VSPC Rising Star (2024), Stanford Top 2% Scientists.
- Editorial Roles: Senior Area Editor (IEEE T-IP), Associate Editor (IEEE T-CASVT, ACM Computing Surveys).
- Grants: Principal Investigator for the 'Unrestricted Gift' project (2025-2028).
Labs/Teams: Leads the Vision & Learning (VL) research group, collaborating on digital health innovations and AI ethics challenges.
