一、基本信息：
姓 名：董 静
出生年月：1989年7月
政治面貌：中共党员
职 称：副教授
通信地址：南京市浦口区浦珠南路30号 南京工业大学 电气工程与控制科学学院
邮 编：211816
电子邮箱：jingdong@njtech.edu.cn
个人主页：https://sites.google.com/site/njdongjing/
二、教育背景
2006年9月-2010年6月，哈尔滨工程大学，自动化专业，工学学士
2010年9月-2013年3月，哈尔滨工程大学，导航、制导与控制专业，工学硕士
2012年10月-2016年7月，University of Surrey（英国），电子工程专业，哲学博士。
三、工作履历
2016年9月至今，南京工业大学，电气工程与控制科学学院。
四、学术兼职
IEEE Transactions on Signal Processing，IEEE Transactions on Image Processing, IEEE Signal Processing Letters，Signal Processing，Neural Computation等期刊审稿人。
五、研究方向
-稀疏表示和字典学习
-图像处理和计算机视觉
-机器学习
-最优化
六、学术论文
[1]Jing Dong*, Yuxin Zhao, Chang Liu, Zi-Fa Han, and Chi-Sing Leung, “Orthogonal Least Squares based Center Selection for Fault-tolerant RBF Networks”,Neurocomputing, 2019. (In Press, DOI: 10.1016/j.neucom.2019.02.039, SCI)
[2]Jing Dong*, Zhichao Xue, Jian Guan, Zifa Han, and Wenwu Wang, “Low rank matrix completion using truncated nuclear norm and sparse regularizer”, Signal Processing: Image Communication, 2018, 68:76-87. (SCI)
[3]Zhichao Xue,Jing Dong*, Yuxin Zhao, Chang Liu, and Ryad Chellali, “Low-rank and sparse matrix decomposition via the truncated nuclear norm and a sparse regularizer”, Visual Computer, 2018: 1-18. (SCI)
[4]Jing Dong*, Zifa Han, Yuxin Zhao, Wenwu Wang, Ales Prochazka, and Jonathon Chambers, “Sparse analysis model based multiplicative noise removal with enhanced regularization”, Signal Processing, 2017, 137: 160-176. (SCI)
[5]Jing Dong*, Wenwu Wang, Wei Dai, Mark D. Plumbley, Zi-Fa Han, and Jonathon Chambers, "Analysis SimCO algorithms for sparse analysis model based dictionary learning", IEEE Transactions on Signal Processing, 2016, 64(2): 417-431. (SCI)
[6]Jing Dong*, Wenwu Wang, and Jonathon Chambers, "Removing speckle noise by analysis dictionary learning",Sensor Signal Processing for Defence(SSPD 2015), IEEE, Edinburgh, UK, September 9-10, 2015: 1-5. (EI)
[7]Jing Dong*, Wenwu Wang, and Jonathon Chambers, " Audio super-resolution using analysis dictionary learning",2015 IEEE International Conference on Digital Signal Processing(DSP 2015), IEEE, Singapore, July 21-24, 2015: 604-608. (EI)
[8]Jing Dong*, Weuwu Wang, and Wei Dai, "Analysis SimCO: a new algorithm for analysis dictionary learning", 2014 IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP 2014), IEEE, Florence, Italy, May 4-9, 2014: 7193-7197. (EI)
[9]Jing Dong*, Wenwu Wang, "Analysis dictionary learning based on Nesterov’s gradient with application to SAR image despeckling",2014 International Symposium on Communications, Control and Signal Processing(ISCCSP 2014), IEEE, Athens, Greece, May 21-23, 2014: 501-504. (EI)
[10]Jian Guan, Xuan Wang, Pengming Feng, Jing Dong, J.A. Chambers, Z. Jiang, Wenwu Wang, "Polynomial dictionary learning algorithms in sparse representations", Signal Processing, vol. 142, pp. 492-503, Jan. 2018. (SCI)
[11]Jian Guan,Jing Dong, Xuan Wang, and Weuwu Wang, "A polynomial dictionary learning method for acoustic impulse response modeling",International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2015), Springer International Publishing, Liberec, Czech Republic, August 25-28, 2015: 211-218. (EI)
Jing Dong
Lecture, College of Electrical Engineering and Control Science
Nanjing Tech University
No. 30 Puzhu South Road, Pukou District, Nanjing, China, 211816
Office: D602
Email: jingdong@njtech.edu.cn
Personal Page: https://sites.google.com/site/njdongjing/
Education
-Ph.D. in Electronic Engineering, July 2016
University of Surrey, United Kingdom
-M.Eng. in Navigation, Guidance and Control, March 2013
Harbin Engineering University, China
-B.Eng. in Automation, June 2010
Harbin Engineering University, China
Work Experience
09/2016-Present, Lecture, College of Electronical Engineering and Control Science,
Nanjing Tech University
Academic Services
Journal Reviews: IEEE Transactions on Signal Processing,IEEE Signal Processing Letters,Signal Processing, Neural Computation.
Research Interests
-Sparse Representation and Dictionary Learning
-Image Processing and Computer Vision
-Machine Learning
-Optimization
Publications
[1]Jing Dong*, Yuxin Zhao, Chang Liu, Zi-Fa Han, and Chi-Sing Leung, “Orthogonal least squares based center selection for fault-tolerant RBF networks”, Neurocomputing, 2019. (In Press, DOI: 10.1016/j.neucom.2019.02.039, SCI)
[2]Jing Dong*, Zhichao Xue, Jian Guan, Zifa Han, and Wenwu Wang, “Low rank matrix completion using truncated nuclear norm and sparse regularizer”, Signal Processing: Image Communication, 2018, 68: 76-87. (SCI)
[3]Zhichao Xue,Jing Dong*, Yuxin Zhao, Chang Liu, and Ryad Chellali, “Low-rank and sparse matrix decomposition via the truncated nuclear norm and a sparse regularizer”, Visual Computer, 2018: 1-18. (SCI)
[4]Jing Dong*, Zifa Han, Yuxin Zhao, Wenwu Wang, Ales Prochazka, and Jonathon Chambers, “Sparse analysis model based multiplicative noise removal with enhanced regularization”, Signal Processing, 2017, 137: 160-176. (SCI)
[5]Jing Dong*, Wenwu Wang, Wei Dai, Mark D. Plumbley, Zi-Fa Han, and Jonathon Chambers, "Analysis SimCO algorithms for sparse analysis model based dictionary learning", IEEE Transactions on Signal Processing, 2016, 64(2): 417-431. (SCI)
[6]Jing Dong*, Wenwu Wang, and Jonathon Chambers, "Removing speckle noise by analysis dictionary learning",Sensor Signal Processing for Defence(SSPD 2015), IEEE, Edinburgh, UK, September 9-10, 2015: 1-5. (EI)
[7]Jing Dong*, Wenwu Wang, and Jonathon Chambers, " Audio super-resolution using analysis dictionary learning",2015 IEEE International Conference on Digital Signal Processing(DSP 2015), IEEE, Singapore, July 21-24, 2015: 604-608. (EI)
[8]Jing Dong*, Weuwu Wang, and Wei Dai, "Analysis SimCO: a new algorithm for analysis dictionary learning", 2014 IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP 2014), IEEE, Florence, Italy, May 4-9, 2014: 7193-7197. (EI)
[9]Jing Dong*, Wenwu Wang, "Analysis dictionary learning based on Nesterov’s gradient with application to SAR image despeckling",2014 International Symposium on Communications, Control and Signal Processing(ISCCSP 2014), IEEE, Athens, Greece, May 21-23, 2014: 501-504. (EI)
[10]Jian Guan, Xuan Wang, Pengming Feng, Jing Dong, J.A. Chambers, Z. Jiang, Wenwu Wang, "Polynomial dictionary learning algorithms in sparse representations", Signal Processing, vol. 142, pp. 492-503, Jan. 2018. (SCI)
[11]Jian Guan,Jing Dong, Xuan Wang, and Weuwu Wang, "A polynomial dictionary learning method for acoustic impulse response modeling",International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2015), Springer International Publishing, Liberec, Czech Republic, August 25-28, 2015: 211-218. (EI)
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