Jing Dong
董 静
Email: jingdong [AT] njtech [DOT] edu [DOT] cn
Associate Professor
College of Electrical Engineering and Control Science
Nanjing Tech University
Jing Dong
董 静
Email: jingdong [AT] njtech [DOT] edu [DOT] cn
Associate Professor
College of Electrical Engineering and Control Science
Nanjing Tech University
Education
Ph.D. in Electronic Engineering, University of Surrey, United Kingdom (July 2016)
M.Eng. in Navigation, Guidance and Control, Harbin Engineering University, China (March 2013)
B.Eng. in Automation, Harbin Engineering University, China (June 2010)
Research Interests
Sparse Representation and Dictionary Learning
Image Processing and Computer Vision
Artificial Neural Networks
Optimization
Publications
Bin Li, Lucas Rencker, Jing Dong, Yuhui Luo, Mark D Plumbley, Wenwu Wang, “Sparse Analysis Model Based Dictionary Learning for Signal Declipping”, IEEE Journal of Selected Topics in Signal Processing, 2021, 15(1): 25-36.
Jing Dong*, Zhichao Xue, and Wenwu Wang, “Robust PCA Using Nonconvex Rank Approximation and Sparse Regularizer”, Circuits, Systems, and Signal Processing, 2020, 39(6): 3086-3104.
Jing Dong*, Yuxin Zhao, and Chang Liu, “Constrained PSO Based Center Selection for RBF Networks Under Concurrent Fault Situation”, Neural Processing Letters, 2020, 51: 2437-2451.
Zhichao Xue, Jing Dong*, Yuxin Zhao, Chang Liu, and Ryad Chellali, “Low-rank and sparse matrix decomposition via the truncated nuclear norm and sparse regularizer”, the Visual Computer, 2019, 35 (11): 1549-1566.
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, 339: 217-231.
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.
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.
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.
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.
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.
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.
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.
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.
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.