Pan Huang

Pan Huang, Ph.D.

Associate Editor, IEEE JBHI Area Chair, IJCNN 2025 IEEE Member MICCAI Member

Postdoctoral Fellow

Centre for Smart Health
The Hong Kong Polytechnic University

Computational Pathology · Explainable AI · MLLMs · Multi-Agent Systems

Email Google Scholar GitHub ResearchGate Web of Science CV

25+

SCI Q1 Papers

1100+

Citations

21

H-index

26

i10-index

400+

Journal/Conference reviewer

Education & Employment

The Hong Kong Polytechnic University (QS 49)

Postdoctoral Fellow, 2025–Present

Chongqing University (985)

Ph.D., Instrument Science and Technology, 2021–2025

Nanyang Technological University, Singapore(QS 15)

PhD student, 2023–2024

Chongqing University (985)

Master Student, 2020–2021

Xinjiang University (211)

B.Eng., Communication Engineering, 2016–2020

Publications

MamlFormer: Priori-experience Guiding Transformer Network via Manifold Adversarial Multi-modal Learning
for Laryngeal Histopathological Grading IF 18.6 Q1

Information Fusion, 2024 | First author

A ViT-AMC network with adaptive model fusion and multiobjective optimization for interpretable laryngeal
tumor grading from histopathological images IF 11.037 Q1

IEEE TMI, 2023 | First author, ESI Highly Cited Paper

FDTs: A feature disentangled transformer for interpretable squamous cell carcinoma grading IF 19.2 Q1

IEEE JAS, 2025 | First author

A multi-instance learning network with prototype-instance adversarial contrastive for cervix pathology grading IF 11.8 Q1

Medical Image Analysis, 2025 | Corresponding author

TexSem-Net: Texture Augmentation and Regional Semantics Fusion Dense-Prediction Network for Cervical
Squamous Cell Carcinoma Histopathological Images IF 11.1 Q1

IEEE TCSVT, 2026 | Co-first author

LA-ViT: A Network with Transformers Constrained by Learned-Parameter-Free Attention
for Interpretable Grading in a New Laryngeal Histopathology Image Dataset IF 7.7 Q1

IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2024 | First Author

FABNet: fusion attention block and transfer learning for laryngeal cancer tumor grading
in P63 IHC histopathology images IF 7.021 Q1

IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2022 | First Author

Knowledge-driven Multiple Instance Learning with Hierarchical Cluster-incorporated Aware Filtering
for Larynx Pathological Grading IF 6.8 Q1

IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2025 | Corresponding Author

Prototype Instance-semantic Disentanglement with Low-rank Regularized Subspace Clustering
for WSIs Explainable Recognition MICCAI 2026

MICCAI 2026 | Corresponding Author

Positive Semi-definite Latent Factor Grouping-Boosted Cluster-reasoning Instance
Disentangled Learning for WSI Representation MICCAI 2026

MICCAI 2026 | Corresponding Author

Mani-NENet: Manifold Neuron Energy Network-enhancing Dysplastic Cells Perception
for Lung Adenocarcinoma Subtypes Recognition IF 5.6 Q1

IEEE Transactions on Instrumentation and Measurement (TIM), 2026 | Corresponding Author

Interpretable laryngeal tumor grading of histopathological images via depth domain adaptive
network with integration gradient CAM and priori experience-guided attention IF 7.7 Q1

Computers in Biology and Medicine, 2023 | First Author

DCA-DAFFNet: An end-to-end network with deformable fusion attention and deep adaptive feature
fusion for laryngeal tumor grading from histopathology images IF 5.6 Q1

IEEE Transactions on Instrumentation and Measurement (TIM), 2023 | Co-First Author

CGAM: An end-to-end causality graph attention Mamba network for esophageal pathology grading IF 4.9 Q1

Biomedical Signal Processing and Control (BSPC), 2024 | Corresponding Author | ESI Highly Cited Paper

DEW-Net: A W-Shaped Dual-Encoder Network with Attention Fusion Mechanisms
for Pathological H&E Image Segmentation 6.8 Q1

IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2026

Research Interests

Computational Pathology

Whole Slide Image Analysis, Pathological Grading, Digital Pathology Diagnosis and Biomarker Discovery.

Explainable AI

Interpretable Deep Learning, Feature Disentanglement, Rule-based Reasoning and Trustworthy AI.

Medical Foundation Models

MLLMs, Vision-Language Models, Foundation Models for Computational Pathology.

Multi-Agent Systems

AI Agents, Diagnostic Reasoning, Collaborative Clinical Decision Making.

Academic Service

Editorial Services

  • Associate Editor, IEEE Journal of Biomedical and Health Informatics
  • Area Chair, IJCNN 2025
  • Associate Editor, Frontiers in Oncology
  • Guest Editor, Applied Sciences

Conference Leadership

  • IEEE Member
  • MICCAI Community Member

Reviewer Activities

  • 330+ Reviews Completed
  • 70+ Journals and Conferences
  • TMI, MedIA, IF, TCSVT, TMM, TIM, JBHI

Awards & Honors

2024

China National Scholarship

2024

China Instrument & Control Society Scholarship

2023

China Scholarship Council Scholarship

2020

Outstanding Undergraduate Graduate, Xinjiang University

2020

Outstanding Undergraduate Thesis, Xinjiang University

2019

National Second Prize, China Undergraduate Computer Design Competition

Funding & Projects

Graduate Student Research Innovation Program of Chongqing

Research on intelligent pathology grading technique for LSCC based on interpretable deep learning

Project No: CYB23047 (Project Leader)

National Student Innovation Training Program

Design and Implementation of Embedded and Android-based Smart Bracelet System

Project Leader

Chongqing Technology Innovation and Application Development Key Project

Research and development of pathology digital and artificial intelligence assisted diagnosis equipment

Project Member

Skills

Python MATLAB R C Deep Learning Computer Vision Computational Pathology Vision Transformer MIL Medical Foundation Models Multi-Agent Systems