陈昭
女 副教授 计算机软件与理论系
硕士生导师，博士生副导师
个人简介
2007年毕业于上海市第三女子中学，2011年获得复旦大学电子信息科学与技术专业理学学士学位，同年直博，2016年间，获得复旦大学电路与系统专业理学博士学位，并进入太阳集团tcy8722任教，2023-2024年为英国华威大学计算机科学学院访问学者。自2011年以来，从事图像与智能研究，跨遥感、医学、人工智能等多个领域，承担数个省部级以上项目，在国内外期刊、会议发表近50篇论文，担任IEEE TGRS, IEEE JSTARS, IEEE GRSL, IEEE TMI，IEEE JBHI, 《中国科学》等权威期刊审稿人。在日常研究生培养和本科教学之外，还担任本科生学术领路人、人工智能实验班导师、以及多个大学生科研项目指导老师。希望用有限的学识，解锁无限的智慧，探寻科学与生命的奥秘。
研究方向：
图像分析理论与方法（遥感、医学、纤维、自然图像等）
机器学习与模式识别（深度学习、张量分析、分类、分割、回归等）
智能系统开发与应用
*欢迎品行端正、积极进取、勤学好问并且对科学和技术有浓厚兴趣的同学加入我的课题组
（实验室网站链接）
讲授课程：
机器学习（本），专业英语（本）
矩阵论与最优化（研），机器学习基础（留学研究生，全英文）
主要研究成果：
1. 低秩张量表达网络（应用于遥感图像地物分类、台风检测、显微图像细胞识别等）
2. 物理可解释的神经网络（应用于多模态数据融合、多时相遥感图像变化检测等）
3. 标签缺失的深度学习方法（应用于组织细胞分割、地物变化检测、纺织纤维识别等）
近期主持或参与的科研项目：
1. 国家自然科学基金青年项目（名称：基于正则化张量表达模型的时变高光谱遥感图像变化检测研究，编号：61702094，主持）
2. 上海市教育委员会 上海市教育发展基金会“晨光计划”（名称：基于弱监督学习网络的数字病理切片智能分析，编号：18CG38，主持）
3. 上海市科学技术委员会“扬帆计划”（名称：基于低秩稀疏表达的时变高光谱图像变化检测，编号：17YF1427400，主持）
4. 中央高校基本科研业务费专项资金项目（名称：基于张量分析的时变高光谱图像变化检测，编号：17D111206，主持）
5. 国家重点研发计划项目子课题（名称：全流程印染过程数字化控制技术研究与应用示范，编号：2017YFB0309805，参与）
6. 上海市自然科学基金项目（名称：河口海岸复杂水体遥感图像的非线性光谱解混方法研究，编号：23ZR1402400，参与）
近几年的论著、专利（部分）：
遥感图像分析（*表示通讯作者）：
1. Haonan Wu, Zhao Chen*. Self-Supervised Change Detection With Nonlocal Tensor Train and Subpixel Signature Guidance. IEEE Transactions on Geoscience and Remote Sensing, 2023 (SCI中科院一区, Top).
2. Zhao Chen*, Xingxing Yu. A Novel Tensor Network for Tropical Cyclone Intensity Estimation. IEEE Transactions on Geoscience and Remote Sensing, 2021 (SCI中科院一区, Top).
3. Yahui Xiu, Fuyin Ye, Zhao Chen*, Yuxuan Liu. Hybrid Tensor Networks for Fully Supervised and Semi-Supervised Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 (SCI中科院二区, Top).
4. Bin Yang, Zhao Chen*, Bin Wang. Nonlinear Endmember Identification for Hyperspectral Imagery via Hyperpath-based Simplex Growing and Fuzzy Assessment. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 (SCI中科院二区, Top).
5. Zhao Chen*, Bin Wang. Spectrally-Spatially Regularized Low-Rank and Sparse Decomposition: A Novel Method for Change Detection in Multitemporal Hyperspectral Images. Remote Sensing, 2017 (SCI中科院二区).
6. Muhammad Sohail, Zhao Chen*, Bin Yang, Guohua Liu. Multiscale spectral-spatial feature learning for hyperspectral image classification. Displays, 2022 (SCI中科院二区).
7. Cong Wang, Yahui Xiu, Zhao Chen*. Cyclone Intensity Prediction via Multispectral Image Sharpening. IEEE Geoscience and Remote Sensing Letters, 2024 (SCI中科院三区).
8. Muhammad Sohail, Zhao Chen*, Guohua Liu. Tensor ring with alternative change mask for multitemporal hyperspectral image change detection. Pattern Recognition Letters, 2022 (SCI中科院三区).
9. Zhao Chen, Bin Wang*. Spectral-Spatial Classification based on Affinity Scoring for Hyperspectral Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016 (SCI中科院三区).
10. Zhao Chen, Bin Wang*. Semisupervised Spectral-Spatial Classification of Hyperspectral Imagery with Affinity Scoring. IEEE Geoscience and Remote Sensing Letters, 2015 (SCI中科院二区).
11.Zhao Chen, Hanye Pu, Bin Wang*, Geng-Ming Jiang. Fusion of Hyperspectral and Multispectral Images: a Novel Framework based on Generalization of Pan-Sharpening Methods. IEEE Geoscience and Remote Sensing Letters, 2014 (SCI中科院二区).
12. Zhao Chen, Bin Wang*. Spectral-Spatial Classification for Hyperspectral Imagery: a Novel Combination Method based on Affinity Scoring. Science China-Information Sciences, 2016 (SCI中科院二区).
医学图像分析（*表示通讯作者）：
1. Qian Wang, Zhao Chen*. Parallel Wavelet Networks Incorporating Modality Adaptation for Hyperspectral Image Super-Resolution. Expert Systems with Applications, 2023 (SCI中科院一区, Top).
2. Zhe Chen, Zhao Chen*, Jingxin Liu, Qiang Zheng, Yuang Zhu, Yanfei Zuo, Zhaoyu Wang, Xiaosong Guan, Yue Wang, Yuan Li. Histopathology Image Segmentation with Sparse Point Annotations. IEEE Journal of Biomedical and Health Informatics, 2021 (SCI中科院一区, Top).
3. Qinghua Zhang, Zhao Chen*. Weakly Supervised Segmentation by Tensor Graph Learning for Whole Slide Images. MICCAI 2022 (顶级会议).
4. Jinhao Chen, Yuang Zhu, Zhao Chen*. Graph-Embedded Online Learning for Cell Detection and Tumour Proportion Score Estimation. Electronics, 2022 (SCI中科院三区).
5. Jinhao Chen, Zhao Chen*. Tensor Decomposition Based Networks for Nuclei Segmentation and Classification. Electronics Letters, 2022 (SCI中科院四区).
6. Qian Wang, Zhao Chen*. A Deep Wavelet Network for High-Resolution Microscopy Hyperspectral Image Reconstruction. ECCV 2022 Workshops (CCF B).
7. Yuang Zhu, Zhao Chen*, Yuxin Zheng, Qinghua Zhang, Xuan Wang. Real-Time Cell Counting in Unlabeled Microscopy Images. ICCV 2021 Workshops (CCF A).
8. 沈熠婷，陈昭*，张清华，陈锦豪，王庆国. 全监督和弱监督图网络的病理图像分割. 中国图象图形学报, 2024 (中文核心，计算领域高质量科技期刊分级T2).
纺织纤维图像分析及其他（*表示通讯作者）：
1. Zhao Chen, Yahui Xiu, Yuxin Zheng, Xinxin Wang, Qian Wang*, Danqi Guo, Yan Wan. A Weakly Supervised Learning Pipeline for Profiled Fiber Inspection. IET Image Processing, 2023 (SCI中科院三区).
2. Zhao Chen, Xinxin Wang, Yuxin Zheng, Yan Wan. Region-Based Convolutional Neural Networks for Profiled Fiber Recognition. ICALIP 2018 (EI).
3. 周奕军, 陈昭*, 李悦, 纪柏林, 王国栋, 刘国华. 一种端到端的织物颜色自动预测框架. 太阳集团tcy8722学报（自然科学版）, 2020 (中文核心).
4. 陈哲, 黄巍, 陈昭*. 基于Web应用的医学图像半自动标注系统. 计算机应用与软件, 2019 (中文核心).
联系方式：
chenzhao@dhu.edu.cn
上海市松江区人民北路2999号 201620
Name:
Zhao Chen (Associate Professor/Doctor)
Bio:
Dr. Zhao Chen graduated from Shanghai No. 3 Girls’ High School in 2007. She received a Bachelor degree in Electronic Information Science and Technology from Fudan University in 2011, and a Ph.D. degree in Circuit and System from Fudan University in 2016. She joined the School of Computer Science and Technology at Donghua University as a faculty member and is currently a visiting scholar at the Department of Computer Science at the University of Warwick in the UK from 2023 to 2024. Since 2011, she has been engaged in research on image and intelligence, spanning multiple fields such as remote sensing, medicine, and artificial intelligence. She has undertaken several provincial and national-level projects, published nearly 50 papers in domestic and foreign journals and conferences, and served as a reviewer for authoritative journals such as IEEE TGRS, IEEE JSTARS, IEEE GRSL, IEEE TMI, IEEE JBHI, and Science China. In addition to daily graduate student training and undergraduate teaching, she also serves as an academic leader for undergraduate students, a mentor for the AI experimental class, and a guide for multiple undergraduate research projects. She hopes to unlock unlimited wisdom for her students with her limited knowledge, inspiring them to explore the mysteries of science and life.
Research Areas:
Theories and methods of image analysis (for remote sensing, medical, fiber, natural images, etc.)
Machine learning and pattern recognition (including deep learning, tensor analysis, classification, segmentation and regression)
Intelligent system development and application
* Self-motivated, diligent and inquisitive students with good conduct and devotion to science and engineering are welcome to join my research group.
Main Courses Taught:
Machine Learning, Professional English (for undergraduates)
Matrix and Optimization (for graduate students)
Machine Learning Basics (for international graduate students)
Selected Publications:
Remote sensing image analysis (* denotes the corresponding author)：
1. Haonan Wu, Zhao Chen*. Self-Supervised Change Detection With Nonlocal Tensor Train and Subpixel Signature Guidance. IEEE Transactions on Geoscience and Remote Sensing, 2023 (SCI JCR Q1).
2. Zhao Chen*, Xingxing Yu. A Novel Tensor Network for Tropical Cyclone Intensity Estimation. IEEE Transactions on Geoscience and Remote Sensing, 2021 (SCI JCR Q1).
3. Yahui Xiu, Fuyin Ye, Zhao Chen*, Yuxuan Liu. Hybrid Tensor Networks for Fully Supervised and Semi-Supervised Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 (SCI JCR Q1).
4. Bin Yang, Zhao Chen*, Bin Wang. Nonlinear Endmember Identification for Hyperspectral Imagery via Hyperpath-based Simplex Growing and Fuzzy Assessment. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 (SCI JCR Q1).
5. Zhao Chen*, Bin Wang. Spectrally-Spatially Regularized Low-Rank and Sparse Decomposition: A Novel Method for Change Detection in Multitemporal Hyperspectral Images. Remote Sensing, 2017 (SCI JCR Q1).
6. Muhammad Sohail, Zhao Chen*, Bin Yang, Guohua Liu. Multiscale spectral-spatial feature learning for hyperspectral image classification. Displays, 2022 (SCI JCR Q1).
7. Cong Wang, Yahui Xiu, Zhao Chen*. Cyclone Intensity Prediction via Multispectral Image Sharpening. IEEE Geoscience and Remote Sensing Letters, 2024 (SCI JCR Q1).
8. Muhammad Sohail, Zhao Chen*, Guohua Liu. Tensor ring with alternative change mask for multitemporal hyperspectral image change detection. Pattern Recognition Letters, 2022 (SCI JCR Q2).
9. Zhao Chen, Bin Wang*. Spectral-Spatial Classification based on Affinity Scoring for Hyperspectral Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016 (SCI JCR Q1).
10. Zhao Chen, Bin Wang*. Semisupervised Spectral-Spatial Classification of Hyperspectral Imagery with Affinity Scoring. IEEE Geoscience and Remote Sensing Letters, 2015 (SCI JCR Q1).
11. Zhao Chen, Hanye Pu, Bin Wang*, Geng-Ming Jiang. Fusion of Hyperspectral and Multispectral Images: a Novel Framework based on Generalization of Pan-Sharpening Methods. IEEE Geoscience and Remote Sensing Letters, 2014 (SCI JCR Q1).
12. Zhao Chen, Bin Wang*. Spectral-Spatial Classification for Hyperspectral Imagery: a Novel Combination Method based on Affinity Scoring. Science China-Information Sciences, 2016 (SCI JCR Q1).
Medical image analysis (* denotes the corresponding author)：
1. Qian Wang, Zhao Chen*. Parallel Wavelet Networks Incorporating Modality Adaptation for Hyperspectral Image Super-Resolution. Expert Systems with Applications, 2023 (SCI JCR Q1).
2. Zhe Chen, Zhao Chen*, Jingxin Liu, Qiang Zheng, Yuang Zhu, Yanfei Zuo, Zhaoyu Wang, Xiaosong Guan, Yue Wang, Yuan Li. Histopathology Image Segmentation with Sparse Point Annotations. IEEE Journal of Biomedical and Health Informatics, 2021 (SCI JCR Q1).
3. Qinghua Zhang, Zhao Chen*. Weakly Supervised Segmentation by Tensor Graph Learning for Whole Slide Images. MICCAI 2022 (Top conference).
4. Jinhao Chen, Yuang Zhu, Zhao Chen*. Graph-Embedded Online Learning for Cell Detection and Tumour Proportion Score Estimation. Electronics, 2022 (SCI JCR Q2).
5. Jinhao Chen, Zhao Chen*. Tensor Decomposition Based Networks for Nuclei Segmentation and Classification. Electronics Letters, 2022 (SCI JCR Q4).
6. Qian Wang, Zhao Chen*. A Deep Wavelet Network for High-Resolution Microscopy Hyperspectral Image Reconstruction. ECCV 2022 Workshops (CCF B).
7. Yuang Zhu, Zhao Chen*, Yuxin Zheng, Qinghua Zhang, Xuan Wang. Real-Time Cell Counting in Unlabeled Microscopy Images. ICCV 2021 Workshops (CCF A).
8. Yuxin Zheng, Zhao Chen*, Yanfei Zuo, Xiaosong Guan, Zhaoyu Wang, Xiao Mu. Manifold-Regularized Regression Network: A Novel End-to-End Method for Cell Counting and Localization. ICIAI 2020 (EI).
Fiber image analysis and others (* denotes the corresponding author)：
1. Zhao Chen, Yahui Xiu, Yuxin Zheng, Xinxin Wang, Qian Wang*, Danqi Guo, Yan Wan. A Weakly Supervised Learning Pipeline for Profiled Fiber Inspection. IET Image Processing, 2023 (SCI JCR Q3).
2. Zhao Chen, Xinxin Wang, Yuxin Zheng, Yan Wan. Region-Based Convolutional Neural Networks for Profiled Fiber Recognition. ICALIP 2018 (EI).
3. Xinxin Wang, Zhao Chen*, Guohua Liu, Yan Wan. Fiber image classification using convolutional neural networks. ICSAI 2017 (EI).
4. Zhaoxu Dong, Zhao Chen*, Qian Wang. Retrosynthesis Prediction Based on Graph Relation Network. CISP-BMEI 2022 (EI).
Main Research Projects:
1. “Change Detection Based on Regularized Tensor Representation Models for Multitemporal Hyperspectral Remote Sensing Images” supported by National Natural Science Foundation of China under Grant 61702094 (leading).
2. The Chenguang Program “Weakly Supervised Networks for Analysis of Digitalized Pathological Slides” supported by Shanghai Education Development Foundation and Shanghai Municipal Education Commission under Grant 18CG38 (leading).
3. The Yangfan Program “Change Detection Based on Low-Rank and Sparse Representation Models for Multitemporal Hyperspectral Images” supported by Science and Technology Commission of Shanghai Municipal under Grant 17YF1427400 (leading).
4. “Change Detection Based on Tensor Analysis for Multitemporal Hyperspectral Images” supported by the Fundamental Research Funds for the Central Universities under Grant 17D111206 (leading).
5. “Application Protocol of Digital Control Technology for Printing and Dyeing Process” supported by the National Key R&D Program of China under Grant 2017YFB0309800 (participating).
6. “Research on Nonlinear Spectral Unmixing Method of Complex Water Body Remote Sensing Images in Estuarine Coastal Areas” supported by Shanghai Natural Science Foundation Grant 23ZR1402400 (participating).
Email: chenzhao@dhu.edu.cn
Address: 2999 North Renmin Road, Songjiang District, Shanghai 201620, China.