Short Bio

I am a Master student of Applied Mathematics at Columbia University. My research interests lie in the intersection of Computer Vision and Machine Learning. With co-authors, I have published two papers . Now, I mainly focus on Applications on Multi-instance Learning and Weakly/Self Supervised Learning in histopathology and medical image analysis.

Research Interests：

• Medical Image Analysis
• Computational Pathology
• Interpretable AI
• Representative Learning
• Multi-modal Learning

🎓 Education

• 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

📝 Publications

Journal

Under Review

• Chentao Li, Pan Huang. An End-to-end Knowledge-driven Multi-instance Learning Network with Hierarchical Cluster-incorporated Aware Filtering for Larynx Pathological Grading. IEEE Journal of Biomedical and Health Informatics (Under Review)

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:14.7)
  [Link]

• Pan Huang, Hualiang Xiao, Peng He, Chentao Li. LA-ViT: A Network with Transformers Constrained by Learned-Parameter-Free Attention for Interpretable Grading in a New Laryngeal Histopathology Image Dataset. IEEE Journal of Biomedical and Health Informatics, (JCR:Q2; IF:6.7)
  [Link]

Conference

• 2023.12, Chongqing Digital Medicine Academic Annual Conference, Poster

🏅 Honors and Awards

• 2024.06 Chongqing Excellent Graduation Thesis “Cervical Cancer Pathological Grading Technology Based on Conditional Adversarial Multimodal Learning” Top 1.5% (重庆市 优秀毕业论文 《基于条件对抗多模态学习的子宫颈癌病理分级技术研究》)
• 2023.06 Annual Merit Student (重庆市 三好学生)
• 2022.05 MCM/ICM Finalist Top 2% (美国大学生数学建模竞赛 特等奖提名（2%）)

💻 Internship

• 2025.1 - 2025.03, Midea Group Co., Ltd., Robots Research Assistant
• 2024.03 - 2024.06, Mingdu Zhiyun (Zhejiang) Technology Co., Ltd., Algorithm Intern

🔍 Reviewrs

• Scientic Reports
• Computer Methods and Programs in Biomedicine (CMPB)
• Computerized Medical Imaging and Graphics (CMIG)
• Discover Electronics