陳昭
女 副教授 計算機軟件與理論系
碩士生導師，博士生副導師
個人簡介
2007年畢業於上海市第三女子中學，2011年獲得復旦大學電子信息科學與技術專業理學學士學位，同年直博，2016年間，獲得復旦大學電路與系統專業理學博士學位👩🏼🏭，並進入沐鸣注册任教，2023-2024年為英國華威大學計算機科學沐鸣訪問學者🧑🏽🍳。自2011年以來，從事圖像與智能研究，跨遙感、醫學🗂、人工智能等多個領域，承擔數個省部級以上項目，在國內外期刊🏰、會議發表近50篇論文，擔任IEEE TGRS, IEEE JSTARS, IEEE GRSL, IEEE TMI🚴🏽♀️，IEEE JBHI, 《中國科學》等權威期刊審稿人。在日常研究生培養和本科教學之外，還擔任本科生學術領路人🧑🏼🎄、人工智能實驗班導師🦷、以及多個大學生科研項目指導老師。希望用有限的學識，解鎖無限的智慧，探尋科學與生命的奧秘🛹🤵🏿♀️。
研究方向🍷：
圖像分析理論與方法（遙感、醫學、纖維、自然圖像等）
機器學習與模式識別（深度學習🧑🏼🦱、張量分析、分類💇🏿♂️、分割👧🏼、回歸等）
智能系統開發與應用
*歡迎品行端正👩🏻🎤、積極進取、勤學好問並且對科學和技術有濃厚興趣的同學加入我的課題組
（實驗室網站鏈接）
講授課程👭🏻：
機器學習（本），專業英語（本）
矩陣論與最優化（研），機器學習基礎（留學研究生，全英文）
主要研究成果：
1. 低秩張量表達網絡（應用於遙感圖像地物分類、臺風檢測、顯微圖像細胞識別等）
2. 物理可解釋的神經網絡（應用於多模態數據融合👮🏿、多時相遙感圖像變化檢測等）
3. 標簽缺失的深度學習方法（應用於組織細胞分割、地物變化檢測🧝🏼♂️、紡織纖維識別等）
近期主持或參與的科研項目：
1. 國家自然科學基金青年項目（名稱：基於正則化張量表達模型的時變高光譜遙感圖像變化檢測研究，編號🤷🏽：61702094，主持）
2. 上海市教育委員會 上海市教育發展基金會“晨光計劃”（名稱：基於弱監督學習網絡的數字病理切片智能分析🧑⚕️，編號：18CG38，主持）
3. 上海市科學技術委員會“揚帆計劃”（名稱：基於低秩稀疏表達的時變高光譜圖像變化檢測，編號👺：17YF1427400🧑🏼💼，主持）
4. 中央高校基本科研業務費專項資金項目（名稱：基於張量分析的時變高光譜圖像變化檢測👵，編號🐯😭：17D111206，主持）
5. 國家重點研發計劃項目子課題（名稱：全流程印染過程數字化控製技術研究與應用示範🗡，編號：2017YFB0309805🧙🏽♀️，參與）
6. 上海市自然科學基金項目（名稱🥉：河口海岸復雜水體遙感圖像的非線性光譜解混方法研究，編號：23ZR1402400🦹，參與）
近幾年的論著🧑🧑🧒🧒、專利（部分）👧🏽：
遙感圖像分析（*表示通訊作者）😝：
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中科院一區, Top).
2. Zhao Chen*, Xingxing Yu. A Novel Tensor Network for Tropical Cyclone Intensity Estimation. IEEE Transactions on Geoscience and Remote Sensing, 2021 (SCI中科院一區, 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中科院二區, 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中科院二區, 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中科院二區).
6. Muhammad Sohail, Zhao Chen*, Bin Yang, Guohua Liu. Multiscale spectral-spatial feature learning for hyperspectral image classification. Displays, 2022 (SCI中科院二區).
7. Cong Wang, Yahui Xiu, Zhao Chen*. Cyclone Intensity Prediction via Multispectral Image Sharpening. IEEE Geoscience and Remote Sensing Letters, 2024 (SCI中科院三區).
8. Muhammad Sohail, Zhao Chen*, Guohua Liu. Tensor ring with alternative change mask for multitemporal hyperspectral image change detection. Pattern Recognition Letters, 2022 (SCI中科院三區).
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中科院三區).
10. Zhao Chen, Bin Wang*. Semisupervised Spectral-Spatial Classification of Hyperspectral Imagery with Affinity Scoring. IEEE Geoscience and Remote Sensing Letters, 2015 (SCI中科院二區).
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中科院二區).
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中科院二區).
醫學圖像分析（*表示通訊作者）：
1. Qian Wang, Zhao Chen*. Parallel Wavelet Networks Incorporating Modality Adaptation for Hyperspectral Image Super-Resolution. Expert Systems with Applications, 2023 (SCI中科院一區, 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中科院一區, Top).
3. Qinghua Zhang, Zhao Chen*. Weakly Supervised Segmentation by Tensor Graph Learning for Whole Slide Images. MICCAI 2022 (頂級會議).
4. Jinhao Chen, Yuang Zhu, Zhao Chen*. Graph-Embedded Online Learning for Cell Detection and Tumour Proportion Score Estimation. Electronics, 2022 (SCI中科院三區).
5. Jinhao Chen, Zhao Chen*. Tensor Decomposition Based Networks for Nuclei Segmentation and Classification. Electronics Letters, 2022 (SCI中科院四區).
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，陳昭*，張清華，陳錦豪，王慶國. 全監督和弱監督圖網絡的病理圖像分割. 中國圖象圖形學報, 2024 (中文核心🫐💆♀️，計算領域高質量科技期刊分級T2).
紡織纖維圖像分析及其他（*表示通訊作者）💏：
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中科院三區).
2. Zhao Chen, Xinxin Wang, Yuxin Zheng, Yan Wan. Region-Based Convolutional Neural Networks for Profiled Fiber Recognition. ICALIP 2018 (EI).
3. 周奕軍, 陳昭*, 李悅, 紀柏林, 王國棟, 劉國華. 一種端到端的織物顏色自動預測框架. 沐鸣娱乐學報（自然科學版）, 2020 (中文核心).
4. 陳哲, 黃巍, 陳昭*. 基於Web應用的醫學圖像半自動標註系統. 計算機應用與軟件, 2019 (中文核心).
聯系方式⚇：
chenzhao@dhu.edu.cn
上海市松江區人民北路2999號 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.