Dr. Zhao Chen

Personal Information

Name	Zhao Chen	Degree	Ph.D.
Gender	Female	Birth Date	18/10/1988
Current Position	Lecturer
Research Interests	Image Processing/ Pattern Recognition/ Machine Learning/ Tensor Analysis/ Semisupervised Learning
Affiliation	School of Computer Science and Technology, Donghua University
Address	Room 104, Department Building 1, No. 2999 Renmin Road,
	Songjiang District, Shanghai, China, 201620
Email	chenzhao@dhu.edu.cn	Phone +86-13816608707

Educational Background

Month/ Year

Degree

Major Affiliation

06/2016-09/2011

Ph.D.

Circuit and System Fudan University, China

(QS World University Ranking: 40)

07/2011-09/2007

Bachelor

Electronic Engineering Fudan University, China

Professional Experience

Month/ Year	Position	Responsibility Affiliation
--06/2016	Lecturer	Teaching courses (machine learning and artificial intelligence), mentoring graduates and conducting research	Donghua University, China

Recent Projects

“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 (undergoing).
“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 (undergoing).
“Weakly Supervised Networks for Analysis of Digitalized Pathological Slides”, supported by Education Commission of Shanghai Municipal under Grant 18CG38 (undergoing).
“Change Detection Based on Tensor Analysis for Multitemporal Hyperspectral Images”, supported by the Fundamental Research Funds for the Central Universities under Grant 17D111206 (completed).
“Research on Deep Learning Methods for Typhoon Intensity Estimation”, entrusted by Shanghai Institute of Meteorological Science (completed).
“Intelligent analysis of Digitalized Pathological Slides”, entrusted by Hengdao Medical and Pathological Diagnosis Centre of Shanghai (undergoing).
“Application Demonstration of Digital Control Technology for Printing and Dyeing Process”, supported by the National Key R&D Program of China under Grant 2017YFB0309800 (undergoing).

Selected Publications

Journal papers (* for contact author):

1. 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: 351-366 (SCI, EI).

2. Zhao Chen，Bing Wang*. Spectrally-spatially regularized low-rank and sparse decomposition: a novel method for change detection in multitemporal hyperspectral images. Remote Sensing. 2017, 9 (10), 1044: 1-21（SCI, EI）.

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

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

5. 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, 11 (8): 1418-1422 (SCI, EI).

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

7. Zhao Chen, Bing Wang*, Li-Ming Zhang. Dimensionality reduction and classification based on lower rank tensor analysis for hyperspectral imagery. Journal of Infrared and Millimeter Waves. 2013, 32 (6): 569-575 (SCI, EI).

8. Hanye Pu, Zhao Chen, Bin Wang*, Wei Xia. Constrained least squares algorithms for nonlinear unmixing of hyperspectral imagery. IEEE Transactions on Geoscience and Remote Sensing. 2015, 53 (3): 1287-1303 (SCI, EI).

9. Hanye Pu, Zhao Chen, Bin Wang*, Gengming Jiang. A novel spatial–spectral similarity measure for dimensionality reduction and classification of hyperspectral imagery. IEEE Transactions on Geoscience and Remote Sensing. 2014, 52 (11): 7008-7022 (SCI, EI).

10. Zhao Chen*, Xingxing Yu. A novel framework based on tensor networks for tropical cyclone intensity estimation. IEEE Transactions on Geoscience and Remote Sensing (undergoing major revision).

11. 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 (undergoing major revision).

Conference papers (* for contact author):

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

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

3. Zhao Chen*, Xingxing Yu, Guangchen Chen, Junfeng Zhou. Cyclone intensity estimation using multispectral imagery from the FY-4 satellite. ICALIP 2018 (EI).

4. Zhao Chen, Chengzhi Zhou, Yijun Zhou, Lingyun Zhu, Ting Lu and Guohua Liu*. Multi-Dimensional Regression for Colour Prediction in Pad Dyeing. ICCCS 2018 (EI).

5. Zhao Chen, Bin Yang, Bin Wang*, Guohua Liu, Wei Xia. Change detection in hyperspectral imagery based on spectrally-spatially regularized low-rank matrix decomposition. IGARSS 2017 (EI).

6. Zhao Chen*, Muhammad Sohail, Bin Wang. Low-rank matrix decomposition with a spectral-spatial regularization for change detection in hyperspectral imagery. RSIP 2017 (EI).

7. Zhao Chen, Bin Wang*, Yubin Niu, Wei Xia, Jian Qiu Zhang, Bo Hu. Semisupervised hyperspectral image classification based on affinity scoring. IGARSS 2015 (EI).

8. Zhao Chen, Bin Wang*, Yubin Niu, Wei Xia, Jian Qiu Zhang, Bo Hu. Change detection for hyperspectral images based on tensor analysis. IGARSS 2015 (EI).

9. Zhao Chen, Bin Wang*. An improved spectral-spatial classification framework for hyperspectral remote sensing images. ICALIP 2014 (EI).

10. Xingxing Yu, Zhao Chen* (contact author), Guangchen Chen, He Zhang. A tensor network for tropical cyclone wind speed estimation. IGARSS 2019 (EI).

11. Guangchen Chen, Zhao Chen* (contact author), Feng Zhou, Xingxing Yu, He Zhang, Lingyun Zhu. A semisupervised deep learning framework for tropical cyclone intensity estimation. MultiTemp 2019 (EI).

12. Xinxin Wang, Zhao Chen* (contact author), Guohua Liu, Yan Wan. Fiber image classification using convolutional neural network. ICSAI 2017 (EI).

13. Jiayan Cao, Zhao Chen, Bin Wang*. Deep convolutional networks with superpixel segmentation for hyperspectral image classification. IGARSS 2016 (EI).

14. Jiayan Cao, Zhao Chen, Bin Wang*. Graph-based deep convolutional networks for hyperspectral image classification. IGARSS 2016 (EI).

Academic Activities

Reviewing manuscripts for academic journals (e.g., IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and IEEE Geoscience and Remote Sensing Letters).

Participating international conferences (e.g., gave oral/ poster presentations in IGARSS 2017 and IGARSS 2015, and chaired sessions for ICALIP 2018 and ICALIP 2014).

Awards

Year	Title	Affiliation
2018	Award for Outstanding Graduation Project (advisor: Zhao Chen)	Donghua University
2015-2014	KLA-Tencor Scholarship	Fudan University
2014-2013	KLA-Tencor Scholarship	Fudan University

Hobbies

Playing table tennis

Dr. Zhao Chen plays for the Computer Science department and won several champion titles in the team events in Donghua University.

Reading novels and watching movies

Dr. Zhao Chen is an active member of an amateur liberal arts appreciation club in Shanghai.