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 欢迎来到3499cc拉斯维加斯
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，欢迎来到3499cc拉斯维加斯。
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)
当前位置：