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Jing Dong 0001
Person information
- affiliation: Nanjing Tech University, College of Electrical Engineering and Control Science, China
- affiliation (PhD 2016): University of Surrey, Guildford, UK
Other persons with the same name
- Jing Dong — disambiguation page
- Jing Dong 0002 — Georgia Institute of Technology, Institute for Robotics and Intelligent Machines, USA
- Jing Dong 0003 — Chinese Academy of Sciences, Institute of Automation, Center for Research on Intelligent Perception and Computing, Beijing, China
- Jing Dong 0004 — National University of Defense Technology, College of Aerospace Science and Engineering, Changsha, China
- Jing Dong 0005 — University of Texas at Dallas, Computer Science Department, Richardson, TX, USA (and 1 more)
- Jing Dong 0006 — Purdue University, West Lafayette, IN, USA
- Jing Dong 0007 — Columbia University, Business School, New York, NY, USA (and 1 more)
- Jing Dong 0008 — Chinese University of Hong Kong-Shenzhen (CUHK-SZ), Shenzhen, China
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2020 – today
- 2024
- [j15]Ben Xie, Jing Dong, Chang Liu, Wei Cheng:
MEHGNet: a multi-feature extraction and high-resolution generative network for satellite cloud image sequence prediction. Earth Sci. Informatics 17(5): 4931-4948 (2024) - 2023
- [j14]Xiaoqing Luo, Xinxing Xi, Zhancheng Zhang, Yuting Jiang, Qingjun You, Jing Dong, Xiaojun Wu:
Multimodal medical volumetric image fusion using 3-D Shearlet transform and T-S fuzzy reasoning. Multim. Tools Appl. 82(15): 22577-22612 (2023) - [j13]Jing Dong, Kai Wu, Chang Liu, Xue Mei, Wenwu Wang:
Discriminative analysis dictionary learning with adaptively ordinal locality preserving. Neural Networks 165: 298-309 (2023) - 2022
- [j12]Jing Dong, Liu Yang, Chang Liu, Wei Cheng, Wenwu Wang:
Support vector machine embedding discriminative dictionary pair learning for pattern classification. Neural Networks 155: 498-511 (2022) - [j11]Jing Dong, Liu Yang, Chang Liu, Xiaoqing Luo, Jian Guan:
Distributed Analysis Dictionary Learning Using a Diffusion Strategy. Neural Process. Lett. 54(3): 2267-2281 (2022) - 2021
- [j10]Bin Li, Lucas Rencker, Jing Dong, Yuhui Luo, Mark D. Plumbley, Wenwu Wang:
Sparse Analysis Model Based Dictionary Learning for Signal Declipping. IEEE J. Sel. Top. Signal Process. 15(1): 25-36 (2021) - [j9]Zhancheng Zhang, Xinxing Xi, Xiaoqing Luo, Yuting Jiang, Jing Dong, Xiaojun Wu:
Multimodal image fusion based on global-regional-local rule in NSST domain. Multim. Tools Appl. 80(2): 2847-2873 (2021) - [c7]Jing Dong, Xiaoqing Luo, Jian Guan:
Robust Estimator for NLOS Error Mitigation in TOA-Based Localization. WASA (3) 2021: 56-67 - 2020
- [j8]Jing Dong, Zhichao Xue, Wenwu Wang:
Robust PCA Using Nonconvex Rank Approximation and Sparse Regularizer. Circuits Syst. Signal Process. 39(6): 3086-3104 (2020) - [j7]Jing Dong, Yuxin Zhao, Chang Liu:
Constrained PSO Based Center Selection for RBF Networks Under Concurrent Fault Situation. Neural Process. Lett. 51(3): 2437-2451 (2020)
2010 – 2019
- 2019
- [j6]Jing Dong, Yuxin Zhao, Chang Liu, Zi-Fa Han, Chi-Sing Leung:
Orthogonal least squares based center selection for fault-tolerant RBF networks. Neurocomputing 339: 217-231 (2019) - [j5]Zhichao Xue, Jing Dong, Yuxin Zhao, Chang Liu, Ryad Chellali:
Low-rank and sparse matrix decomposition via the truncated nuclear norm and a sparse regularizer. Vis. Comput. 35(11): 1549-1566 (2019) - 2018
- [j4]Jian Guan, Xuan Wang, Pengming Feng, Jing Dong, Jonathon A. Chambers, Zoe Lin Jiang, Wenwu Wang:
Polynomial dictionary learning algorithms in sparse representations. Signal Process. 142: 492-503 (2018) - [j3]Jing Dong, Zhichao Xue, Jian Guan, Zi-Fa Han, Wenwu Wang:
Low rank matrix completion using truncated nuclear norm and sparse regularizer. Signal Process. Image Commun. 68: 76-87 (2018) - 2017
- [j2]Jing Dong, Zi-Fa Han, Yuxin Zhao, Wenwu Wang, Ales Procházka, Jonathon A. Chambers:
Sparse analysis model based multiplicative noise removal with enhanced regularization. Signal Process. 137: 160-176 (2017) - [c6]Jian Guan, Xuan Wang, Pengming Feng, Jing Dong, Wenwu Wang:
Matrix of Polynomials Model Based Polynomial Dictionary Learning Method for Acoustic Impulse Response Modeling. INTERSPEECH 2017: 3068-3072 - [c5]Jian Guan, Xuan Wang, Shuhan Qi, Jing Dong, Wenwu Wang:
Blind Speech Deconvolution via Pretrained Polynomial Dictionary and Sparse Representation. PCM (1) 2017: 411-420 - [i1]Jian Guan, Xuan Wang, Pengming Feng, Jing Dong, Wenwu Wang:
Matrix of Polynomials Model based Polynomial Dictionary Learning Method for Acoustic Impulse Response Modeling. CoRR abs/1705.08660 (2017) - 2016
- [b1]Jing Dong:
Sparse analysis model based dictionary learning and signal reconstruction. University of Surrey, Guildford, UK, 2016 - [j1]Jing Dong, Wenwu Wang, Wei Dai, Mark D. Plumbley, Zi-Fa Han, Jonathon A. Chambers:
Analysis SimCO Algorithms for Sparse Analysis Model Based Dictionary Learning. IEEE Trans. Signal Process. 64(2): 417-431 (2016) - 2015
- [c4]Jian Guan, Jing Dong, Xuan Wang, Wenwu Wang:
A Polynomial Dictionary Learning Method for Acoustic Impulse Response Modeling. LVA/ICA 2015: 211-218 - [c3]Jing Dong, Wenwu Wang, Jonathon A. Chambers:
Audio super-resolution using analysis dictionary learning. DSP 2015: 604-608 - 2014
- [c2]Jing Dong, Wenwu Wang, Wei Dai:
Analysis SimCO: A new algorithm for analysis dictionary learning. ICASSP 2014: 7193-7197 - [c1]Jing Dong, Wenwu Wang:
Analysis dictionary learning based on Nesterov's gradient with application to SAR image despeckling. ISCCSP 2014: 501-504
Coauthor Index
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last updated on 2024-12-13 19:12 CET by the dblp team
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