Short Bio

I am a first-year Ph.D student at School of Nursing, The Hong Kong Polytechnic University. My research interests lie in the intersection of AI for Healthcare and Medical Image Analysis. With co-authors, I have published 4 papers . Now, I mainly focus on Applications on Multi-instance Learning and Explainable AI in histopathology and medical image analysis.

Research Interests：

Medical Image Analysis
Computational Pathology
Explainable AI
Representative Learning
Multi-modal Large Language Models

🎓 Education

2026.09 - 2029.06, The Hong Kong Polytechnic University, School of Nursing , Ph.D, Hong Kong, China
2025.01 - 2026.06, Columbia University, Fu Foundation School of Engineering and Applied Science , M.S. in Applied Mathematics, New York, USA
2024.09 - 2025.01, New York University, Tandon School of Engineering, M.S. in Computer Engineering, New York, USA
2020.09 - 2024.06, Chongqing University, College of Mathematics and Statistics, B.S. in Information and Computing Science，Chongqing, China

📝 Selected Publications

ArXiv

Under Review

Mingrui Ma*, Chentao Li*, Pan Huang, Jing Qin. MacNet: An End-to-End Manifold-Constrained Adaptive Clustering Network for Interpretable Whole Slide Image Classification. [paper], [code]

Journal

IEEE JBHI

Chentao Li, Pan Huang, Jing Qin, Xin Luo. Knowledge-driven Multiple Instance Learning Network with Hierarchical Cluster-incorporated Aware Filtering for Larynx Pathological Grading. IEEE Journal of Biomedical and Health Informatics (JCR:Q1; IF:6.8) [paper], [code]

Information Fusion

Pan Huang*, Chentao Li*, Peng He. MamlFormer: Priori-experience guiding transformer network via manifold adversarial multi-modal learning for laryngeal histopathological grading. Information Fusion, 108, 102333. (JCR:Q1; IF:15.5)
[paper]

Conference

MICCAI 2026

Chentao Li, Behzad Bozorgtabar, Yifang Ping, Pan Huang, Jing Qin. Positive Semi-definite Latent Factor Grouping-Boosted Cluster-reasoning Instance Disentangled Learning for WSI Representation. [paper], [code]