张敬华
职称:讲师
联系电话:
电子邮箱:jinghua.zhang@hhu.edu.cn
教育背景

2018.09-2021.07,东北大学,生物医学工程,硕士

2022.11-2024.10,芬兰奥卢大学,计算机科学与技术,联合培养

2021.09-2025.06,国防科技大学,控制科学与工程,博士
研究领域

计算机视觉与人工智能

获奖情况

[1] 东北大学优秀硕士学位论文,2021

[2] 辽宁省优秀学位论文,2022

[3] 国家留学基金委公派留学奖学金,2022

学术成果

代表性论文:

[1] Jinghua Zhang, Li Liu, Olli Silvén, Matti Pietikäinen, and Dewen Hu: Few-shot Class-incremental Learning for Classification and Object Detection: A Survey, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025, 47(4), 2924-2945

[2] Jinghua Zhang, Li Liu, Kai Gao, and Dewen Hu: A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill Recognition, IEEE Transactions on Neural Networks and Learning Systems, 2025, 36(6), 9837 - 9851

[3] Jinghua Zhang, Chen Li, Marco Cristani, Hongzan Sun, Marcin Grzegorzek, and Huiling Chen: WP-FSCIL: A Well-Prepared Few-shot Class-incremental Learning Framework for Pill Recognition, IEEE Journal of Biomedical and Health Informatics, 2025, Early access

[4] Jinghua Zhang, Peng Zhao, Yongkun Zhao, Chen Li, and Dewen Hu: Few-shot Class-incremental Learning for Retinal Disease Recognition, IEEE Journal of Biomedical and Health Informatics, 2024, Early access

[5] Jinghua Zhang, Chen Li, Sergey Kosov, Marcin Grzegorzek, Kimiaki Shirahama, Tao Jiang, Changhao Sun, Zihan Li, and Hong Li: LCU-Net: A Novel Low-cost U-Net for Environmental Microorganism Image Segmentation, Pattern Recognition, 2021,115: 107885 ESI高被引论文】

[6] Jinghua Zhang, Chen Li, Yimin Yin, Jiawei Zhang, and Marcin Grzegorzek: 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, Artificial Intelligence Review, 2023, 56(2), 1013-1070 ESI热点论文】

[7] Jinghua Zhang, Chen Li, Frank Kulwa, Xin Zhao, Changhao Sun, Zihan Li, Tao Jiang, Hong Li, and Shouliang Qi: A Multiscale CNN-CRF Framework for Environmental Microorganism Image Segmentation, BioMed Research International, 2020, 4621403

[8] Haoyang Jiang, Yimin Yin, Jinghua Zhang (通讯作者), Wanxia Deng, and Chen Li: Deep learning for liver cancer histopathology image analysis: A comprehensive survey, Engineering Applications of Artificial Intelligence, 2024, 133: 108436

[9] Yimin Yin, Renye Zhang, Pengfei Liu, Wanxia Deng, Siliang He, Chen Li, and Jinghua Zhang (通讯作者): Artificial Neural Networks for Finger Vein Recognition: A Survey, Engineering Applications of Artificial Intelligence, 2025, 150: 110586

[10] Yimin Yin, Siliang He, Renye Zhang, Hongli Chang, and Jinghua Zhang (通讯作者): Deep learning for iris recognition: a review, Neural Computing and Applications, 2025, 37, 11125–11173

发明专利:

[1] 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

[2] 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]

[3] 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]