期刊论文
2024年
1. Chaoqun Ma, *Jing Liu, Wenyu Xu, Zhiqiang Shi, Haiyang Yu, Zhuo Chen, Changpei Ma and Xiaoyu Jiang. Dense viewpoint encoding of 3D light fields based on neural graphics primitives, Optics and Lasers in Engineering, VOL. 178, 2024.
2.Zhang Hailang, *Liu Jing. A novel residual hybrid dynamic model for unmanned helicopters: combining both physical and deep learning models. Nonlinear Dynamics, 2024, 112(14):12235-12252.
2023年
1. Xiaoqing Tian , Jing Liu，Mahendra Mallick，Jing Wang, Xinyuan Ji, Liyu Su, and Jingxuan Si，A Novel AD-PDA-BACF Algorithm for Real-Time Moving Target Shadow Tracking Using ViSAR Imagery, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 61, 2023.
2. Liyu Su, Jing Liu, Jianting Zhang, Xiaoqing Tian, Hailang Zhang, Chaoqun Ma, Smooth low-rank representation with a Grassmann manifold for tensor completion, Knowledge-Based Systems, VOL. 270, 2023.
3. Chaoqun Ma; Xiaoyu Jiang; Jing Liu; Liupeng Li; A novel feed-forward neural network-based method for fast hologram generation, Optics Communications, 2023, 530: 1-9.
2022年
1. Liupeng Li, *Jing Liu, Liyu Su, Chaoqun Ma, Bingye Li, Yifan Yu.
A Novel Graph Metalearning Method for SAR Target Recognition. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5.
2. Liyu Su; *Jing Liu; Xiaoqing Tian; Kaiyu Huang; Shuncheng Tan; Iterative tensor eigen rank minimization
for low-rank tensor completion, Information Sciences, 2022, 616: 303-329.
2021年
1. Xiaoqing Tian，*Jing Liu，Mahendra Mallick，Kaiyu Huang. Simultaneous Detection and Tracking of Moving-Target Shadows in ViSAR Imagery. IEEE Transactions on Geoscience and Remote Sensing, 2021，59(2)：1182-1199. (SCI: WOS:000611222400021，IF 2020：5.6). 高被引论文
2020年
1. Kaiyu Huang, *Jing Liu, Dawei Song, Xiaoqing Tian and Liyu Su, Multilinear Plus Sparse based Tensor Completion for Long-Term Operating Large-Scale and Heterogeneous Sensor Networks, IEEE Transactions on Wireless Communications, 2020, 19(10): 6301-6315. (SCI: WOS:000579118600006，IF 2020：7.016).
2. Jing Liu, *Xiaoyu Jiang, Xiaoqing Tian, Mahendra Mallick, Kaiyu Huang and Chaoqun Ma, Hybrid Particle Filter Based Dynamic Compressed Sensing for Signal-Level Multitarget Tracking, IEEE Access, vol. 8, pp. 17134-17148, 2020, doi: 10.1109/ACCESS.2020.2967550.
2019年
1. *Jing Liu, Kaiyu Huang, Xianghua Yao, Common-innovation Subspace Pursuit for Distributed Compressed Sensing in Wireless Sensor Networks， IEEE Sensors Journal，2019, 19(3):
2018年
1. Kaiyu Huang, *Jing Liu, Inner–Outer Support Set Pursuit for Distributed Compressed Sensing, IEEE Transactions on Signal Processing, 2018, 66(11): 3024-3039. (SCI: WOS:000430728900018 ，2017 IF: 4.203)
2. *Jing Liu, Xiaoqing Tian, Jiayuan Jiang, Kaiyu Huang, Distributed Compressed Sensing Based Ground Moving Target Indication for Dual-Channel SAR System, Sensors, 2018, 18(7): 23-37. (SCI: WOS:000441334300398 ，2017 IF: 2.475)
2017年
1. *Jing Liu, Guoxian Zhang, Kai Zhao, and Xiaoyu Jiang, Compressive holography algorithm for the objects composed of point sources, Applied Optics, 2017, 56(3): 530-542. (SCI: WOS:000393347900055，2017 IF: 1.791)
2. *Jing Liu, Kaiyu Huang, Guoxian Zhang, An Efficient Distributed Compressed Sensing Algorithm for Decentralized Sensor Network, Sensors, 2017, 17(4). (SCI: WOS:000400822900248，2017 IF: 2.475)
2016年
1. *Jing Liu, Feng Lian, Mahendra Mallick, Distributed Compressed Sensing Based Joint Detection and Tracking for Multistatic Radar System, Information Sciences, 2016, 369(C):100-118. (SCI: WOS:000383292500007，2017 IF: 4.305)
2015年
1. *Jing, Liu；Mahendra Mallick；Feng Lian；Chongzhao Han；MingXing Sheng；Xianghua Yao
General similar sensing matrix pursuit: An efficient and rigorous reconstruction algorithm to cope with deterministic sensing matrix with high coherence,
Signal Processing, vol. 114, pp 150-163, 2015.
2014年
1. *Liu, Jing; Mallick, Mahendra; Han, ChongZhao; Yao, XiangHua; Lian, Feng
Similar sensing matrix pursuit: An efficient reconstruction algorithm to cope with deterministic sensing matrix,
Signal Processing, vol. 95, pp 101-110, 2014/2.
2013年
1. *Liu, Jing; Han, ChongZhao; Yao, XiangHua; Lian, Feng
A Novel Coherence Reduction Method in Compressed Sensing for DOA Estimation
JOURNAL OF APPLIED MATHEMATICS, vol. 1, pp 1-9, 2013.
2. *Liu Jing; Han ChongZhao; Yao XiangHua; Lian Feng
Splitting Matching Pursuit Method for Reconstructing Sparse Signal in Compressed Sensing
JOURNAL OF APPLIED MATHEMATICS, vol. 1, pp 1-8, 2013.
3. *Liu, Jing; Han, Chongzhao; Yao, Xianghua; Lian, Feng
COMPRESSED SENSING BASED TRACK BEFORE DETECT ALGORITHM FOR AIRBORNE RADARS
PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER, vol. 138, pp 433-451, 2013.
4. *Jing, Liu, Noise driven compressed sensing method for space time signal processing
IEICE Electronics Express, 10(4), pp 1-12, 2013.
2012年
1. *Jing L.; Yu H.; Feng L.; ChongZhao H.
Evidence theory-based mixture particle filter for joint detection and tracking of multiple targets
IET Radar Sonar and Navigation, 6(7), pp 649-658, 2012/8.
2. *Liu Jing; Han ChongZhao; Lian Feng; Hu Yu
Multiple Maneuvering Target Tracking by Improved Particle Filter Based on Multiscan JPDA
Mathematical Problems in Engineering, 2012(1), pp 1-25, 2012.
3. *Lian Feng; Han Chongzhao; Liu Weifeng; Liu Jing; Sun Jian
Unified cardinalized probability hypothesis density filters for extended targets and unresolved targets
Signal Processing, 92(7), pp 1729-1744, 2012/7.
4. *Lian Feng; Han ChongZhao; Liu WeiFeng; Liu Jing; Yuan XiangHui
Joint spatial registration and multi-target tracking using an extended PM-CPHD filter
Science China Information Sciences, 55(3), pp 501-511, 2012/3.
5. Lian Feng; Han Chongzhao; Liu Jing; Chen Hui
Convergence Results for the Gaussian Mixture Implementation of the Extended-Target PHD Filter and Its Extended Kalman Filtering Approximation
Journal of Applied Mathematics, 1(1), 2012.
2011年
1. *Jing, L.; ChongZhao, H.; Vadakkepat, P.
Process noise identification based particle filter: an efficient method to track highly manoeuvring targets
IET Signal Processing, 5(6), pp 538-546, 2011/9.
2010年
1. Jing, Liu; Vadakkepat, Prahlad
Interacting MCMC particle filter for tracking maneuvering target
Digital Signal Processing, 20(2), pp 561-574, 2010/3.
2008年
1. Vadakkepat, Prahlad; Lim, Peter; De Silva, Liyanage C.; Jing, Liu; Ling, Li Li
Multimodal approach to human-face detection and tracking
IEEE Transactions on Industrial Electronics, 55(3), pp 1385-1393, 2008/3.
2006年
1. Vadakkepat, Prahlad; Liu Jing
Improved particle filter in sensor fusion for tracking randomly moving object
IEEE Transactions on Instrumentation and Measurement, 55(5), pp 1823-1832, 2006/10.
中文期刊论文
2020年
1. *刘静, 刘涵, 黄开宇, 苏立玉. 基于自动秩估计的黎曼优化矩阵补全算法及其在图像补全中的应用[J]. 电子与信息学报, 2019, 41(11): 2787-2794. DOI:10.11999/JEIT181076.
2018年
2. 曾令豪, *刘静, 韩崇昭. 一种针对单快拍DOA 估计的子空间搜索近似消息传递算法[J]. 自动化学报, 2018, 44(3): 443-452
2017年
3. *刘静，盛明星，宋大伟. 基于分布式压缩感知的联合检测与跟踪算法[J]. 控制与决策，2017，32(2): 239-246.
4. *刘静，李小超，祝开建. 基于分布式压缩感知的遥感图像融合算法[J]. 电子与信息学报, 2017, 39 (10): 2374-2381.
2016年
5. *刘静，盛明星，宋大伟. 雷达高分辨率紧凑感知矩阵追踪算法[J]. 电子与信息学报，2016，38(8): 1950-1955.
授权发明专利
1. 刘静，白彩娟，蒋晓瑜，张国贤，黄开宇. 一种基于迭代去噪收缩阈值算法的数字全息重构方法, 专利号：ZL 2016 1 0021891.8， 2018-04-17.
2. 刘静，盛明星，宋大伟，尚社，韩崇昭. 基于十字阵雷达系统的分布式紧凑感知矩阵追踪方法, 专利号：ZL 2015 1 0330114.7，2018-11-27.
3. 刘静，刘涵，苏立玉，黄开宇，一种基于自适应秩估计黎曼流形优化的图像补全方法，专利号：ZL 2018 1 1504334.7，2021-04-20.
4. 刘静，苏立玉，黄开宇，一种基于张量本征变换的彩色图像修复方法，专利号：ZL 2020 1 0144793. X，2022-10-25.
5. 刘静，马超群，蒋晓瑜，李刘鹏，苏立玉，黄开宇. 一种基于深度前馈神经网络的数字全息图生成系统及方法，专利号：ZL 2020 1 0983019.8，2024-04-02.
6. 刘静，李冰叶，苏立玉. 一种基于剪枝元学习的小样本SAR图像目标检测方法，专利号： ZL 2022 1 0326006.2，2024.09.06.
7. 刘静，张海浪，邓可立，苏立玉，胡峪. 一种无人机飞行状态参数预测方法及系统，专利号：ZL 2022 1 1274667.1，2024.09.06.
参与编写的学术专著
1. Liu J, Mallick M., Lian F, and Huang K. A Novel Compressed Sensing-Based Algorithm for Space-Time Signal Processing Using Airborne Radars, Ch. 6, in Compressive Sensing of Earth Observations, C. H. Chen, Ed. CRC Press, pp. 131–151, June 2017.
