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
二、教育背景
2006/09-2010/06，哈尔滨工程大学，自动化，学士
2010/09-2013/03，哈尔滨工程大学，导航、制导与控制，硕士
2012/10-2016/07，University of Surrey（萨里大学，英国），电子工程，博士
三、工作履历
2016/09-2020/06，南京工业大学，欢迎来到3499cc拉斯维加斯，讲师
2020/07至今，南京工业大学，欢迎来到3499cc拉斯维加斯，副教授
四、研究方向
- 图像处理和计算机视觉
- 机器学习与模式识别
- 深度学习
五、科研项目
主持国家自然科学基金、江苏省自然科学基金、江苏省高等学校自然科学研究项目各1项，产学研项目5项。
六、代表性学术论文
[21] Kai Wu, Jing Dong*, Guifu Hu, Chang Liu, Wenwu Wang, “TDU-DLNet: A transformer-based deep unfolding network for dictionary learning”, Signal Processing, 231: 109886, 2025. (SCI/EI)
[20] Jing Dong*, Guifu Hu, Jie Zhang, Xiaoqing Luo, “Dual-domain prior unfolding network for remote sensing image super-resolution”, Earth Science Informatics, 2025, 18(128). (SCI/EI)
[19] 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 Science Informatics, 2024, 17(5): 4931-4948. (SCI/EI)
[18] Jing Dong*, Kai Wu, Chang Liu, Xue Mei, Wenwu Wang, “Discriminative analysis dictionary learning with adaptively ordinal locality preserving”, Neural Networks, 2023, 165: 298-309. (SCI/EI)
[17] Jing Dong*, Liu Yang, Chang Liu, Wei Cheng, Wenwu Wang, “Support vector machine embedding discriminative dictionary pair learning for pattern classification”, Neural Networks, 2022, 155：498-511. (SCI/EI)
[16] Jing Dong*, Liu Yang, Chang Liu, Xiaoqing Luo, Jian Guan, “Distributed analysis dictionary learning using a diffusion strategy”, Neural Processing Letters, 2022, 54(3): 2267-2281. (SCI/EI)
[15] Jing Dong*, Yuxin Zhao, Chang Liu, “Constrained PSO based center selection for RBF networks under concurrent fault situation”, Neural Processing Letters, Jun., 2020, 51: 2437-2451. (SCI/EI)
[14] Jing Dong*, Zhichao Xue, Wenwu Wang, “Robust PCA using nonconvex rank approximation and sparse regularizer”, Circuits, Systems, and Signal Processing, Jun., 2020, 39: 3086-3104. (SCI/EI)
[13] 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, Nov., 2019, 35: 1549-1566. (SCI/EI)
[12] 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, Apr., 2019, 339: 217-231. (SCI/EI)
[11] 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, Oct., 2018, 68:76-87. (SCI/EI)
[10] 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, Aug., 2017, 137: 160-176. (SCI/EI)
[9] 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, Jan., 2016, 64(2): 417-431. (SCI/EI)
[8] 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, Jan., 2021, 15(1): 25-36. (SCI)
[7] Zhancheng Zhang, Xinxing Xi, Xiaoqing Luo, Yuting Jiang, Jing Dong, Xiaoju Wu, “Multimodal image fusion based on global-regional-local rule in NSST domain”, Multimedia Tools and Applications, Jan. 2021, 80: 2847-2873. (SCI)
[6] 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)
[5] 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)
[4] 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)
[3] 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)
[2] 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)
[1] 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)
七、发明专利
1. 董静; 杨柳; 成巍; 刘厂; 罗晓清; 一种基于支持向量正则化字典对学习的模式分类方法, 2024，中国, CN202111603440.2 (授权)
2. 董静; 杨柳; 梅雪; 成巍; 罗晓清; 一种基于结构性解析字典学习的两阶段图像分类方法, 2024，中国, CN202210637417.3 (授权)
八、科研奖励
1. 面向智能物流仓储的兴趣目标主动跟踪关键技术研究，中国物流与采购联合会科技进步奖三等奖 (2/7)，2024年
2. 基于主动视觉感知的兴趣目标跟踪关键技术及应用，中国商业联合会科学技术奖二等奖 (4/10)，2023年
九、学生培养
1. 南京工业大学优秀硕士学位论文（“卓越”等级，21级研究生吴凯）
2. 研究生国家奖学金（16级研究生薛志超）
3. 中国机器人技能大赛，一等奖（2024年），二等奖（2024年）
4. 中国机器人工程大赛，三等奖（2024年）
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