Peng Jiang

江鹏

Ph.D. candidate

School of Computer Science
Wuhan University (武汉大学)
Wuhan, Hubei Province

Email: pelenjiang@whu.edu.cn


Biography

I am now a Ph.D. candidate in BIOD Lab, School of Computer Science, Wuhan University. I received my master degree from Wuhan University (WHU) in 2023. Before that, I received my bachelor degree from Northwest A&F University (NWAFU) in 2020.

My research interests mainly lie in Deep Learning, Computational Pathology and Medical Image Analysis. I am currently studying on automatic cervical cancer screening and dedicate to incorporating medical domain knowledge with computational cytology.

News

Experiences

Selected Publications

† indicates equal contribution.

                        
Stain Normalization of Pathological Images Using Self-Attention based CycleGAN with Grey Scale Consistency Loss
Zheng Chen, Peng Jiang, Wensi Duan, Lang Wang, Cheng Li, Junfeng Wang, Juan Liu.
Pattern Analysis and Applications (PAA), 2025.

Interpretable Detector for Cervical Cytology Using Self-Attention and Cell Origin Group Guidance
Peng Jiang, Juan Liu, Jing Feng, Hua Chen, Yuqi Chen, Cheng Li, Baochuan Pang, Dehua Cao.
Engineering Applications of Artificial Intelligence (EAAI), 2024.

Coupling Self-supervised and Supervised Contrastive Learning for Multiple Classification of Cervical Cytological Whole Slide Images
Lang Wang , Peng Jiang , Wensi Duan, Dehua Cao, Baochuan Pang, Juan Liu.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024).

A Systematic Review of Deep Learning-based Cervical Cytology Screening: from Cell Identification to Whole Slide Image Analysis
Peng Jiang, Xuekong Li, Hui Shen, Yuqi Chen, Lang Wang, Hua Chen, Jing Feng, Juan Liu.
Artificial Intelligence Review (AIR), 2023.

LGViT: Local-Global Vision Transformer for Breast Cancer Histopathological Image Classification
Lang Wang, Juan Liu, Peng Jiang, Dehua Cao, Baochuan Pang.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023).

Medical Knowledge guided Intra-Specimen Reference Network for Cervical Cell Classification
Peng Jiang, Juan Liu, Yuqi Chen, Hongyu Dong, Hua Chen, Baochuan Pang, Dehua Cao.
IEEE International Symposium on Biomedical Imaging (ISBI 2023).

Professional Services

Projects & Competitions