陈昭(副教授)



陈昭


基本情况:

女,副教授,计算机软件与理论系

硕士生导师


教育背景:

复旦大学 电路与系统专业 博士(直博)

复旦大学 电子信息科学与技术专业 学士


研究方向:

人工智能,图像处理,遥感图像分析与应用,生物医学图像分析与应用

欢迎访问科研网站Research Website CLICK HERE


讲授课程:

人工智能导论,机器学习,专业英语,机器学习基础(研,全英文),矩阵分析与最优化(研)


近期主持的科研项目:

(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(编号:17D111206,主持)

(5) 国家重点研发计划项目子课题(编号:2017YFB0309805,参与)

(6) 横向课题:基于深度学习的台风定强算法的研究与开发,负责人

(7) 横向课题:数字病理图像智能分析,负责人

(8) 横向课题:有机小分子合成路径智能预测,负责人


近几年的论著、专利:

(1) 已发表或录用的论文(*表示通讯作者):

1) A novel tensor network for tropical cyclone intensity estimation. Zhao Chen*, Xingxing Yu. IEEE Transactions on Geoscience and Remote Sensing, 2020 (SCI, Top; EI).

2) Histopathology image segmentation with sparse point annotations. Zhe Chen, Zhao Chen*, et al. IEEE Journal of Biomedical and Health Informatics, 2020 (SCI, Top; EI).

3) Spectrally-spatially regularized low-lank and sparse decomposition: A Novel Method for Change Detection in Multitemporal Hyperspectral Images. Zhao Chen*, Bin Wang. Remote Sensing. 2017, 9(10), 1044: 1-21SCI, Top; EI.

4) Nonlinear endmember identification for hyperspectral imagery via hyperpath-based simplex growing and fuzzy assessment. Bin Yang, Zhao Chen*, Bin Wang. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2020: 351-366 (SCI, EI).

5) Spectral-spatial classification based on affinity scoring for hyperspectral imagery. Zhao ChenBin Wang*. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2016, 9 (6): 2305-2320 (SCI, EI).

6) Semisupervised spectral-spatial classification of hyperspectral imagery with affinity scoring. Zhao Chen, Bin Wang*. IEEE Geoscience and Remote Sensing Letters. 2015, 12 (8): 1710-1714 (SCI, EI).

7) Fusion of hyperspectral and multispectral images: a novel framework based on generalization of pan-sharpening methods. Zhao Chen, Hanye Pu, Bin Wang*, Geng-Ming Jiang. IEEE Geoscience and Remote Sensing Letters. 2014, 11 (8): 1418-1422 (SCI, EI).

8) Spectral-spatial classification for hyperspectral imagery: a novel combination method based on affinity scoring. Zhao Chen, Bin Wang*. Science China Information Sciences. 2016, 59 (10): 102313:1-102313:13 (SCI, EI).

9) 基于低秩张量分析的高光谱图像降维与分类. 陈昭,王斌*,张立明, 红外与毫米波学报. 2013, 32 (6): 569-575 (一级学报刊物, SCI, EI.

10) 一种端到端的织物颜色自动预测框架. 周奕军,陈昭*,李悦等.东华大学学报(自然科学版). 2021.

11) 基于Web应用的医学图像半自动标注系统. 陈哲,黄巍,陈昭*.计算机应用与软件. 2019.

12) Manifold-regularized regression network: a novel end-to-end method for cell counting and localization. Yuxing Zheng, Zhao Chen*, et al. ICIAI 2020 (EI).

13) Multitemporal hyperspectral image change detection by joint affinity and convolutional neural networks. Zhao Chen*, Feng Zhou. MultiTemp 2019 (EI).

14) A semisupervised deep learning framework for tropical cyclone intensity estimation. Guangchen Chen, Zhao Chen*, et al. MultiTemp 2019 (EI).

15) A tensor network for tropical cyclone wind speed estimation. Xingxing Yu, Zhao Chen*, et al. IGARSS 2019.

16) Region-based convolutional neural networks for profiled fiber recognition. Zhao Chen*, Xinxin Wang, Yuxin Zheng, Yan Wan. ICALIP 2018 (EI).

(2) 已申请的国家发明专利(本人为第一申请人):

1) 基于低秩分解和空谱约束的高光谱图像时变特征提取方法

2) 基于地物类别隶属度评分的高光谱遥感图像半监督分类方法

3) 高光谱遥感图像空谱结合分类框架下的基于地物类别隶属度评分的合并方法

4) 一种基于分块低秩张量分析的高光谱图像降维和分类方法


主要社会任职:

IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Geoscience and Remote Sensing Letters等国际权威期刊审稿人.


国际交流与合作:

TIA Centre, Department of Computer Science, Warwick University, U.K. (2021-)              

IGARSS 2020, Hawaii, U.S (online).                                                       

IGARSS 2019, Yokohama, Japan.

IGARSS 2017, Fort Worth, Texas, U.S.


联系方式:

邮箱:chenzhao@dhu.edu.cn

办公室:1号学院楼104