Jinghua Zhang

Jinghua Zhang

Hohai University

Since July 2025, I have been working as an Assistant Professor at the College of Computer Science and Software Engineering, Hohai University. Before that, I obtained my Ph.D. degree in Control Science and Engineering from National University of Defense Technology (NUDT) in 2025, supervised by Prof. Dewen Hu and Prof. Li Liu. From 2022 to 2024, I worked as a visiting researcher at the Center for Machine Vision and Signal Analysis, University of Oulu, Finland, where I collaborated with Prof. Matti Pietikäinen and Prof. Olli Silven. I received my Master’s degree in Biomedical Engineering from Northeastern University (NEU) in 2021, supervised by Prof. Chen Li, and my Bachelor’s degree in Automation from Hefei University (HFU) in 2018. My research interests focus on computer vision, pattern recognition, and deep learning.

🔥 News

📝 Publications

(* corresponding author)

TPAMI 2025
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Few-shot Class-incremental Learning for Classification and Object Detection: A Survey

Jinghua Zhang, Li Liu, Olli Silvén, Matti Pietikäinen, Dewen Hu
in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
[Paper] [Literature Collection] [Bibtex]

TNNLS 2024
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A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill Recognition

Jinghua Zhang, Li Liu, Kai Gao, Dewen Hu
in IEEE Transactions on Neural Networks and Learning Systems, 2024
[Paper] [Bibtex]

JBHI 2025
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WP-FSCIL: A Well-Prepared Few-shot Class-incremental Learning Framework for Pill Recognition

Jinghua Zhang, Chen Li, Marco Cristani, Hongzan Sun, Marcin Grzegorzek, Huiling Chen
in IEEE Journal of Biomedical and Health Informatics, 2025
[Paper] [Bibtex]

JBHI 2024
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Few-shot Class-incremental Learning for Retinal Disease Recognition

Jinghua Zhang, Peng Zhao, Yongkun Zhao, Chen Li, Dewen Hu
in IEEE Journal of Biomedical and Health Informatics, 2024
[Paper] [Bibtex]

EAAI 2024
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Deep Learning for Liver Cancer Histopathology Image Analysis: A Comprehensive Survey

Haoyang Jiang, Yimin Yin, Jinghua Zhang*, Wanxia Deng, Chen Li
in Engineering Applications of Artificial Intelligence, 2024.
[Paper] [Bibtex]

AIRE 2022
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Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural network and potential visual transformer

Jinghua Zhang, Chen Li, Yimin Yin, Jiawei Zhang, Marcin Grzegorzek
in Artificial Intelligence Review, 2022.
[Paper] [Bibtex] [ESI Hot Paper and Highly Cited Paper]

PR 2021
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LCU-Net: A Novel Low-cost U-Net for Environmental Microorganism Image Segmentation

Jinghua Zhang, Chen Li, Sergey Kosov, Marcin Grzegorzek, Kimiaki Shirahama, Tao Jiang, Changhao Sun, Zihan Li, Hong Li
in Pattern Recognition, 2021
[Paper] [Bibtex] [Code] [ESI Highly Cited Paper]

BMRI 2020
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A Multiscale CNN-CRF Framework for Environmental Microorganism Image Segmentation

Jinghua Zhang, Chen Li, Frank Kulwa, Xin Zhao, Changhao Sun, Zihan Li, Tao Jiang, Hong Li, Shouliang Qi
in BioMed Research International, 2020
[Paper] [Bibtex] [Code]

📌 Papers under Review

  • Jinghua Zhang, Yimin Yin, Haoling Liu, Dewen Hu, BiCFF: Bidirectional-compatible Fine-grained Framework for Few-shot Class-incremental Learning, EAAI, Under Review
  • Renye Zhang, Yimin Yin, Jinghua Zhang*, Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning, EAAI, Under Review

📄 Patents

  • 李晨，张敬华，李宏，一种多尺度串行的卷积深度学习显微图像分割方法, ZL201910533172.8, [已授权]
  • 胡德文，张敬华，刘丽，结构化平面物体识别模型训练及识别方法, 202310381173.1, [已受理]
  • 胡德文，张敬华，高凯，刘丽，结构化平面物体识别模型训练及识别方法、电子设备, 202310389606.8, [已受理]

💻 Software Copyrights

  • 李晨，张敬华，许宁，赵文伟，孙昌浩，图像预处理教学演示软件V1.0, 2019SR0102261, [已登记]
  • 李晨，张敬华，许宁，计算机图像分割评价指标计算及其可视化软件V1.0, 2019SR0692603, [已登记]
  • 李晨，张敬华，李宏，基于卷积神经网络U-Net的环境微生物显微图像分割软件1.0, 2019SR0831957, [已登记]
  • 李晨，张敬华，李宏，基于VGG16迁移学习的环境微生物显微图像像素块分类软件V1.0, 2019SR1130819, [已登记]
  • 李晨，张敬华，李宏，基于卷积神经网络mU-B1-Net的环境微生物品微图像分割软件V1.0, 2019SR1130829, [已登记]
  • 李晨，张敬华，睿仟基于多模型迁移学习的宫颈癌细胞分类软件[简称：宫颈癌细胞分类软件]V1.0.0, 2020SR1250001, [已登记]

👨‍🎓 Team Members

Current Members

Dechao Tang

Dechao Tang
Ph.D. Student, University of Münster

Sihang Xu

Sihang Xu
Master Student, Fujian University of Technology

Haoyang Jiang

Haoyang Jiang
B.E., Yantai Institute of Science and Technology

Jinyi Zhou

Haoyang Jiang
Bachelor Student, Hunan First Normal University

Alumni

  • Renye Zhang, Bachelor of Engineering, Hunan First Normal University
  • Haoling Liu, China Mobile
  • Yule Wang, Master Student, Nanjing University of Aeronautics and Astronautics

🎖 Honors and Awards

🔍 Academic Service

Journal Editor: Frontiers in Microbiology (Special Issue)

Conference Chair: MVIPIT 2025

Journal Reviewer:

  • IEEE: IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Multimedia, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Cognitive and Developmental Systems, IEEE Journal of Biomedical and Health Informatics, IEEE Access, IEEE Geoscience and Remote Sensing Letters
  • Elsevier: Pattern Recognition, Pattern Recognition Letters, Computers in Biology and Medicine, Engineering Applications of Artificial Intelligence, Intelligent Medicine, Neurocomputing, Computers and Electrical Engineering, Image and Vision Computing, Biomedical Technology, Expert Systems With Applications
  • Springer: International Journal of Computer Vision, Artificial Intelligence Review, Neural Computing and Applications, The Visual Computer, Evolving Systems
  • Others: Frontiers in Artificial Intelligence, Frontiers in Microbiology, Frontiers in Human Neuroscience, Frontiers in Psychiatry, BioMed Research International, Computational and Mathematical Methods in Medicine, Computational Intelligence and Neuroscience, Mathematical Biosciences and Engineering, CMES-Computer Modeling in Engineering and Sciences, Biomedical Engineering / Biomedizinische Technik, International Journal of Biomedical Imaging

Conference Reviewer: CVPR, IJCNN

🌏 Visitors

Updated on July 31, 2025.