Peng Jiang 江鹏 Research Assistant School of Computer Science Wuhan University (武汉大学) Wuhan, Hubei Province Email: pelenjiang@whu.edu.cn

Biography

I am now a research assistant 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

• 2023.07-Present     Biod Lab, Wuhan University
  Research assistant advised by Prof. Juan Liu.    Topic: Medical image analysis
• 2020.09-2023.06     Biod Lab, Wuhan University
  Master student advised by Prof. Juan Liu.    Topic: Automatic cervical cancer screening
• 2021.05-2022.04     Wuhan Landing Medical High-Tech Co. Ltd. (Landing Med)
  Research intern in AI group.    Topic: Stitching and registration of whole slide image
• 2018.03-2020.03      Parallel Computing and Visual Processing Lab, Northwest A&F University
  Research assistant advised by Prof. Bin Liu.    Topic: Detection of apple leaf diseases

Selected Publications

† indicates equal contribution.

	Stain Normalization of Pathological Images Using Self-Attention based CycleGAN with Grey Scaled Consistency Loss Zheng Chen †, Peng Jiang †, Wensi Duan, Lang Wang, Jing Feng, Dehua Cao, Baochuan Pang, Juan Liu. Submitted to Computers in Biology and Medicine (CIBM).
	Interpretable Detector for Cervical Cytology Using Self-Attention and Cell Origin Group Guidance Peng Jiang, Juan Liu, Jing Feng, Huan Chen, Yuqi Chen, Dehua Cao, Baochuan Pang. 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).
	MSCCNet: Multi-Scale Convolution-Capsule Network for Cervical Cell Classification Hua Chen, Juan Liu, Peng Jiang, Yu Jin, Jing Feng, Baochuan Pang, Dehua Cao, Cheng Li. IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023).
	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.
	Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification Peng Jiang, Juan Liu, Lang Wang, Zhihui Yang, Hongyu Dong, Jing Feng. arXiv preprint arXiv:2209.13844
	DDN: Dynamic Aggregation Enhanced Dual-Stream Network for Medical Image Classification Lang Wang, Juan Liu, Peng Jiang, Dehua Cao, Baochuan Pang. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 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).
	Development of Automatic Portable Pathology Scanner and Its Evaluation for Clinical Practice Peng Jiang, Juan Liu, Qiang Luo, Baochuan Pang, Di Xiao, Dehua Cao. Journal of Digital Imaging (JDI), 2023.

Projects & Competitions

• 2019.11     Artificial Intelligence Creative Competition
  Main member, China University Computer Competition, national 2nd prize
• 2019.04     Image Group: Supernova discovery
  Captain, 2019 Future Cup AI Challenge, 2nd place in northwest region