Book
Chapters
1. G. Li and S. S. Ram, “Sparsity-driven methods for micro-Doppler detection and classification,” Chapter 3 in Micro-Doppler Radar and its Applications, edited by Francesco Fioranelli, Hugh Griffiths, Matthew Ritchie, Alessio Balleri, SciTech Publishing, 2020.
Journal
Articles
J1.
W. Wang, R. Song,
Y. Wu, L. Zheng, W. Zhang, Z. Chen, G. Li, and Z. Xu, “Deep Learning-based Automated Diagnosis of Obstructive
Sleep Apnea and Sleep Stage Classification in Children Using Millimeter-wave
Radar and Pulse Oximeter,” Sleep Health: Journal of the National Sleep
Foundation, in press.
J2.
L. Zhao, Y. Ma, X.
Wang, and G. Li, “A Fast Scheduling Method of Multiple Agile Satellites Based on Neural
Network-Guided Genetic Algorithm,” Journal of Systems Engineering and
Electronics, in press.
J3.
R. Li, X. Wang, G.
Li, , et al. Super-Resolution Imaging for Ultrawideband Radar via Generalized
Atomic Norm Minimization with GTD Modality Demixing[J]. Electromagnetic Science
J4.
L. Zhang, Y. Liu,
X. Wang, Y. He, G. Li, Y. Zhang, C. Liu, Z. Jiang, and Y. Liu, “CADDN: A Content-Aware
Downsampling-Based Detection Method for Small Objects in Remote Sensing
Images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 63,
pp. 1-17, DOI: 10.1109/TGRS.2025.3578596, 2025. [PDF]
J5.
G. Li, G. Li, and Y. He, “Belief-Propagation-based Resolvable Group Target Tracking
with Unknown Detection Probability,” IEEE Transactions on Aerospace and
Electronic Systems, vol. 61, no. 2, pp. 3683 – 3700, April 2025. [PDF]
J6.
R. Li, X. Wang, G. Li, and X.-P. Zhang, “Sparse Regularization With Learnable Partition
Weights for Super-Resolution Imaging of Ultrawideband Radar,” IEEE
Transactions on Antennas and Propagation, vol. 73, no. 2, pp. 1149 – 1161,
Feb. 2025. [PDF]
J7.
W. Li, X. Wang, G. Li, B. Geng, and P. K. Varshney, “A Copula-Guided In-Model Interpretable
Neural Network for Change Detection in Heterogeneous Remote Sensing Images,” IEEE
Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-17, DOI:
10.1109/TGRS.2024.3524639, 2025. [PDF]
J8.
C. Qin, L. Zhang,
X. Wang, G. Li, Y. He, and Y. Liu, “RDB-DINO: An Improved End-to-End Transformer with
Refined De-Noising and Boxes for Small-Scale Ship Detection in SAR Images,” IEEE
Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-17, DOI:
10.1109/TGRS.2024.3515150, 2025. [PDF]
J9.
赵翔, 王威, 李晨洋, 关建, 李刚, “基于毫米波雷达微动信号和脉搏波数据融合的轻接触式睡眠呼吸暂停低通气综合征筛查技术,” 雷达学报, 14(1): 102-116, 2025. [PDF] (in Chinese)
J10.
J. Jiao, G. Li, J. Wang, Z. Zhao, J. Li, and H. Chen, “TF-GAN: Satellite Anomaly
Detection via Generative Adversarial Networks and Time-Frequency Spectrum,” IEEE
Transactions on Aerospace and Electronic Systems, vol. 60, no. 6, pp.
9143-9153, Dec. 2024. [PDF]
J11.
Z. Ji, X. Wang, Z.
Wang, and G. Li, “An Enhanced and Unsupervised Siamese Network With Superpixel-Guided
Learning for Change Detection in Heterogeneous Remote Sensing Images,” IEEE Journal of Selected Topics in Applied
Earth Observations and Remote Sensing, vol. 17, pp. 19451-19466, 2024, DOI:
10.1109/JSTARS.2024. [PDF]
J12.
D. Pan, Z. Wang, X.
Wang, G. Li, S. Zeng, and Y. Wang, “An Efficient Flood Detection Method with
Satellite Images Based on Algorithm-Hardware Co-Design,” IEEE Geoscience and
Remote Sensing Letters, vol. 21, 2024, pp. 1-5, DOI: 10.1109/LGRS.2024.3472050. [PDF]
J13.
Y. Zhang, X. Wang, G. Li, Y. He, Z. Song, and H. Song, “Dense Ship Detection in SAR Images via
Comprehensive Confidence Score-Based Label Assignment,” IEEE Journal of Selected Topics in Applied Earth Observations and
Remote Sensing, vol. 17, pp. 17175 – 17186, DOI:
10.1109/JSTARS.2024.3419770, June 2024. [PDF]
J14.
G. Li, G. Li, and Y. He, “PMBM-based Unresolved-group Object Tracking,” IEEE Transactions on Aerospace and Electronic Systems,
vol. 60, no. 4, pp. 4229 – 4240, August 2024. [PDF]
J15.
李晨洋, 王威, 黄炜峻, 许华俊, 易红良, 关建, 李刚, 殷善开, “新型雷达设备诊断阻塞性睡眠呼吸暂停：一项评价与多导睡眠监测等效性的平行对照研究,” 中华耳鼻咽喉头颈外科杂志,第 59 卷第 8 期, 73-79, 2024 年8 月. [PDF] (in Chinese)
J16.
Z. Wang, X. Wang, G. Li, W. Wu, Y. Liu, Z. Song, and H. Song, “Historical
information fusion of dense multi-source satellite image time series for flood
extent mapping,” Information Fusion, Vol. 109, Sept. 2024,
102445. [PDF]
J17.
Z. Wang, X. Wang, G. Li, and C. Li, “Robust Cross-Modal Remote Sensing Image Retrieval via
Maximal Correlation Augmentation,” IEEE
Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-17, DOI:
10.1109/TGRS.2024.3406606, 2024. [PDF]
J18.
张强，王志豪，王学谦，李刚，黄立威，宋慧娜，宋朝晖， “基于邻域显著性的可见光和SAR遥感图像海面舰船协同检测方法”, 雷达学报, 2024, 13(4): 886-903. [PDF] (in Chinese)
J19.
L. Xue, X. Wang, Z.
Wang, and G. Li, “A Lightweight Patch-Level Change Detection Network Based on
Multi-layer Feature Compression and Sensitivity-Guided Network Pruning,” IEEE Transactions on Geoscience and Remote
Sensing, vol. 62, pp. 1-19, DOI: 10.1109/TGRS.2024.3398820, 2024. [PDF]
J20.
B. Li, X. Guo, H.
Liu, D. Han, G. Li, and J. Wu, “Arctic Winds Retrieved from FY-3D Microwave Humidity
Sounder-II 183.31 GHz Brightness Temperature Using Atmospheric Motion Vector
Method,” Remote Sensing, 2024, 16(10), 1715; https://doi.org/10.3390/rs16101715 [PDF]
J21.
J. Ma, Y. Yang, R.
Tao, G. Li, C. Gao, “Spectrum analysis for nonuniform sampling of bandlimited and
multiband signals in the fractional Fourier domain,” Signal Processing,
Vol. 222, Sept. 2024, 109539. https://doi.org/10.1016/j.sigpro.2024.109539
[PDF]
J22.
X. Wang, G. Li, Z. Jiang, Y. Liu, and Y. He, “Density-based ship detection in SAR
images: Extension to a self-similarity perspective,” Chinese Journal of
Aeronautics, vol. 37, no. 3, pp. 168–180, 2024. [PDF]
J23.
C. Li, G. Li, Z. Wang, X. Wang, and P. K. Varshney, “COMIC: An Unsupervised Change
Detection Method for Heterogeneous Remote Sensing Images Based on Copula
Mixtures and Cycle-Consistent Adversarial Networks,” Information Fusion,
Vol. 106, June 2024, 102240. [PDF]
J24.
Y. Zhang, G. Li, X.-P. Zhang, and Y. He, “A deep learning model based on transformer
structure for radar tracking of maneuvering targets,”Information Fusion,
vol. 103, Mar. 2024, 102120. [PDF]
J25.
R. Li, X. Wang, G. Li, and X.-P. Zhang, “TEFISTA-Net: A Learnable Method for High-Resolution
Range Profile Reconstruction with Low-Frequency Ultra-wideband Radar,” Signal
Processing, vol. 214, Jan. 2024, 109257.
https://doi.org/10.1016/j.sigpro.2023.109257 [PDF]
J26.
瓦其日体, 李刚, 赵志纯, 则正华, “基于直方图分析和自适应遗传的雷达道路目标识别特征优选方法,” 雷达学报, 2023, 12(5): 1014-1030. [PDF] (in Chinese)
J27.
W. Wang, Y. Wan, C.
Li, Z. Chen, W. Zhang, L. Zhao, J. Zhao,
X. Mu, and G. Li, “Millimetre-wave radar-based spirometry for the preliminary diagnosis
of chronic obstructive pulmonary disease,” IET Radar, Sonar & Navigation,
1–12 (2023). https://doi.org/10.1049/rsn2.12479. [PDF]
J28.
G. Li, G. Li, and Y. He, “Labeled Multi-Bernoulli Filter based Multiple Resolvable
Group Targets Tracking with Leader-Follower Model," IEEE Transactions
on Aerospace and Electronic Systems, vol. 59, no. 5, pp. 6683-6694, Oct.
2023. [PDF]
J29.
C. Li, G. Li, X. Wang, and P. K. Varshney, “A Copula-Based Method for Change
Detection with Multi-sensor Optical Remote Sensing Images,” IEEE Transactions on Geoscience and Remote
Sensing, vol. 61, pp. 1-15, DOI: 10.1109/TGRS.2023.3312344, 2023. [PDF]
J30.
L. Zhang, Y. Liu,
W. Zhao, X. Wang, G. Li, and Y. He, “Frequency-Adaptive Learning for SAR
Ship Detection in Clutter Scenes,” IEEE
Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-14 2023, DOI:
10.1109/TGRS.2023.3249349. [PDF]
J31.
C. Qin, X. Wang, G. Li, and Y. He, “A Semi-Soft Label-Guided Network With Self-Distillation for
SAR Inshore Ship Detection,” IEEE
Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-18, 2023,
DOI: 10.1109/TGRS.2023.3293535. [PDF]
J32.
J. Chen, Y. Liu, X.
Wang, Y. Zhang, Z. Jiang, G. Li, B. Zheng, J. Zhang, and Y. He, “Caps-SSENet: An Improved Estimation
Method for SAR Ship Size,” IEEE Geoscience and Remote Sensing Letters,
vol. 20, pp. 1-5, 2023, DOI: 10.1109/LGRS.2023.3283442. [PDF]
J33.
Z. Wang, X. Wang,
W. Wu, and G. Li, “Continuous Change Detection of Flood Extents With Multisource
Heterogeneous Satellite Image Time Series,”
IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-18,
2023, DOI: 10.1109/TGRS.2023.3281792. [PDF]
J34.
J. Ma, G. Li, R. Tao, and Y. Li, “Nonuniform MIMO Sampling and Reconstruction of
Multiband Signals in the Fractional Fourier Domain,” IEEE Signal Processing
Letters, vol. 30, pp. 653-657, 2023. [PDF]
J35.
W. Li, L. Xue, X.
Wang, and G. Li, “ConvTransNet: A CNN–Transformer Network for Change Detection With
Multiscale Global–Local Representations,” IEEE
Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-15, 2023,
DOI: 10.1109/TGRS.2023.3272694. [PDF]
J36.
D. Wang, G. Li, Z. Zhao, J. Wang, S. Ding, K. Wang, and M. Duan, “Detection Method of
Radar Space Target Abnormal Motion via Local Density Peaks and Micro-Motion
Feature,” IEEE Geoscience and Remote Sensing Letters, vol. 20, May 2023,
DOI: 10.1109/LGRS.2023.3276421. [PDF]
J37.
Y. Zhang, Y. Qiao, G. Li, W. Li, and Q. Tian, “Random Time Division Multiplexing Based MIMO Radar
Processing with Tensor Completion Approach,” Sensors, 2023, 23(10),
4756; https://doi.org/10.3390/s23104756.
[PDF]
J38.
G. Li, G. Li,
and Y. He, “Distributed multiple resolvable group targets tracking based on
hypergraph matching,” IEEE Sensors
Journal, vol. 23, no. 9, pp. 9669-9676, May 2023. [PDF]
J39.
C. Liu, Z. Li, L.
Huang, P. Zhang, Z. Wu, J. Zhou, Z. Tang, and G.
Li, “Identifying Wet and Dry Snow With Dual-Polarized
C-Band SAR Data Based on Markov Random Field Model", IEEE Geoscience
and Remote Sensing Letters, vol. 20, pp. 1-5, DOI:
10.1109/LGRS.2023.3266399, 2023. [PDF]
J40.
S. Yang, J. L.
Kernec, O. Romain, F. Fioranelli, P. Cadart, J. Fix, C. Ren, G. Manfredi, T.
Letertre, I. D. H. Sáenz, J. Zhang, H. Liang, X. Wang, G. Li, Z. Chen, K.
Liu, X. Chen, J. Li, X. Wu, Y. Chen, and T. Jin, “The Human Activity Radar
Challenge: Benchmarking Based on the ‘Radar Signatures of Human Activities’
Dataset From Glasgow University,” IEEE
Journal of Biomedical and Health Informatics, vol. 27, no. 4, pp.
1813-1824, April 2023. [PDF]
J41.
C. Liu, Z. Li, Z.
Wu, L. Huang, P. Zhang, G. Li, “An Unsupervised Snow Segmentation
Approach Based on Dual-polarized Scattering Mechanism and Deep Neural Network,”
IEEE Transactions on Geoscience and
Remote Sensing, vol. 61, pp. 1-14, DOI: 10.1109/TGRS.2023.3262727, 2023. [PDF]
J42.
Z. Zhao and G.
Li, “Synchrosqueezing-based Short-time Fractional Fourier Transform,” IEEE Transactions on Signal Processing,
vol. 71, pp. 279-294, DOI: 10.1109/TSP.2023.3244097, 2023. [PDF]
J43.
D. Zhu, X. Wang, G.
Li, X.-P. Zhang, “Vessel Detection via Multi-Order Saliency-Based Fuzzy
Fusion of Spaceborne and Airborne SAR Images,” Information Fusion, vol. 89, pp. 473-485, January 2023. [PDF]
J44.
G. Li, G. Li,
and Y. He, “Resolvable group target tracking via multi-Bernoulli filter and its
application to sensor control scenario,” IEEE
Transactions on Signal Processing, vol. 70, pp. 6286-6299, DOI:
10.1109/TSP.2023.3236158, 2022. [PDF]
J45.
B. Dong, G. Li,
and Q. Zhang, “High-Resolution and Wide-Swath Imaging of Spaceborne SAR via
Random PRF Variation Constrained by the Coverage Diagram,” IEEE Transactions on Geoscience and Remote Sensing, vol.
60, pp. 1-16, DOI: 10.1109/TGRS.2022.3228282, 2022. [PDF]
J46.
Y. He, X. Wang, Y.
Zhang, Y. Liu, Z. Jiang, G. Li, and Y. He “A Novel Loss Function for Optical
and SAR Image Matching: Balanced Positive and Negative Samples,” IEEE Geoscience and Remote Sensing Letters,
vol. 19, pp. 1-5,
DOI: 10.1109/LGRS.2022.3225965, 2022. [PDF]
J47.
J. Wang, G. Li,
Z. Zhao, J. Jiao, S. Ding, K. Wang, and M. Duan, “Space Target Anomaly
Detection based on Gaussian Mixture Model and Micro-Doppler Features,” IEEE Transactions on Geoscience and Remote
Sensing, vol. 60, pp. 1-11, DOI: 10.1109/TGRS.2022.3213277, 2022. [PDF]
J48.
T. Guo, X. Guo, H.
Liu, D. Han, C. Zhang, L. Niu, G. Li, and J. Wu, “Study of the Real-time
Onboard Radio-Frequency Interference Detection and Mitigation Strategy for
MICAP L-band Radiometer,” IEEE
Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, DOI: 10.1109/TGRS.2022.3205963, 2022. [PDF]
J49.
Y. Li, G. Li,
Y. Liu, X.-P. Zhang, and Y. He, “A Hybrid SVSF Algorithm for Automotive Radar
Tracking,” IEEE Transactions on
Intelligent Transportation Systems, vol. 23, no. 9, pp. 15028-15042, Sept.
2022. [PDF]
J50.
C. Li, G. Li,
and P. K. Varshney, “Distributed Detection of Sparse Signals with Censoring
Sensors in Clustered Sensor Networks,” Information
Fusion, vol. 83–84, pp. 1-18, July 2022. [PDF]
J51.
Y. Zhang, X. Wang,
Z. Jiang, G. Li, and Y. He, “An Efficient Center-Based Method with
Multi-Level Auxiliary Supervision for Multi-Scale SAR Ship Detection,” IEEE Journal of Selected Topics in Applied
Earth Observations and Remote Sensing, vol. 15, pp. 7065-7075, DOI:
10.1109/JSTARS.2022.3197210, 2022. [PDF]
J52.
C. Qin, X. Wang, G.
Li, and Y. He, “An Improved Attention-Guided Network for Arbitrary-Oriented
Ship Detection in Optical Remote Sensing Images,” IEEE Geoscience and Remote Sensing Letters, Vol. 19, pp. 1-5, DOI:
10.1109/LGRS.2022.3198681, 2022. [PDF]
J53.
C. Li, G. Li,
and P. K. Varshney, “Robust Federated Opportunistic Learning in the Presence of
Label Quality Disparity,” IEEE Internet
of Things Journal, vol. 9, no. 13, pp. 10978 – 10987, July, 2022. [PDF]
J54.
Y. Li, G. Li,
Y. Liu, X.-P. Zhang, and Y. He, “A Novel Smooth Variable Structure Filter for
Target Tracking under Model Uncertainty,” IEEE
Transactions on Intelligent Transportation Systems, vol. 23, no. 6, pp.
5823-5839, June 2022. [PDF]
J55.
C. Li, G. Li,
and P. K. Varshney, “Federated Learning with Soft Clustering,” IEEE Internet of Things Journal, vol. 9,
no. 10, pp. 7773-7782, May 2022. [PDF]
J56.
G. Li, G. Li,
and Y. He, “Distributed GGIW-CPHD-based extended target tracking over a sensor
network,” IEEE Signal Processing Letters,
vol. 29, pp. 842-846, 2022. [PDF]
J57.
X. Wang, G. Li,
A. Plaza, and Y. He, “Revisiting SLIC: Fast Superpixel Segmentation of Marine
SAR Images Using Density Features,” IEEE
Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-18, DOI:
10.1109/TGRS.2022.3142068, 2022. [PDF]
J58.
Z. Xia, J. Du, J.
Wang, C. Jiang, Y. Ren, G. Li, and Z. Han, “Multi-Agent Reinforcement
Learning Aided Intelligent UAV Swarm for Target Tracking,” IEEE Transactions on Vehicular Technology, vol. 71, no. 1, pp. 931
– 945, Jan. 2022. [PDF]
J59.
X. Qiao, G. Li,
T. Shan, and R. Tao, “Human Activity Classification Based on Moving Orientation
Determining Using Multistatic Micro-Doppler Radar Signals,” IEEE Transactions on Geoscience and Remote
Sensing, vol. 60, pp. 1-15, DOI: 10.1109/TGRS.2021.3100482, 2022. [PDF]
J60.
B. Dong, G. Li,
K. Wang, and M. Duan, “Range Aliasing Elimination for FMICW Radar with Uniform
Sampling Bursts and Poisson Disk Inter-Burst Delays,” IEEE Sensors Journal, vol. 22, no. 2, pp. 1495-1508, Jan. 2022. [PDF]
J61.
C. Li, G. Li,
and P. K. Varshney, “Decentralized Federated Learning via Mutual Knowledge
Transfer,” IEEE Internet of Things
Journal, vol. 9 no. 2, pp. 1136-1147, Jan. 2022. [PDF]
J62.
D. Zhu, G. Li,
and X.-P. Zhang, “Source Localization Based on Hybrid Coarray for 1-D Mirrored
Interferometric Aperture Synthesis,” IEEE
Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, DOI:
10.1109/TGRS.2021.3061447, 2022. [PDF]
J63.
Z. Jiang, G. Li,
X.-P. Zhang, and Y. He, “Robust STAP Detection Based on Volume
Cross-Correlation Function in Heterogeneous Environments,” IEEE Geoscience and Remote
Sensing Letters, vol. 19, pp. 1-5, Article Sequence Number: 8000705,
2022. [PDF]
J64.
X. Wang, G. Li,
A. Plaza, and Y. He, “Ship Detection in SAR Images by Aggregating Densities of
Fisher Vectors: Extension to a Global Perspective,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp.
1-13, DOI: 10.1109/TGRS.2021.3073053, 2022. [PDF]
J65.
J. Han, G. Li,
K. Wang, M. Duan, and X.-P. Zhang, “1-Bit Radar Imaging Based on Adversarial
Samples,” IEEE
Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-13, DOI: 10.1109/TGRS.2021.3073159, 2022. [PDF]
J66.
B. Dong, Z. Chen,
and G. Li, “Unambiguous Doppler Extension for FMCW Radar via Poisson
Disk Sampling,” IEEE Geoscience and
Remote Sensing Letters, vol. 19, pp. 1-5, Article Sequence Number: 3506605,
2022. [PDF]
J67.
Z. Song, J. Yin, Z.
Wang, C. Lu, Z. Yang, Z. Zhao, Z. Li, J. Wang, C. Wu, J. Cheng, Y. Dai, Y. Zi,
S.-L. Huang, X. Chen, J. Song, G. Li, and W. Ding, “A flexible
triboelectric tactile sensor for simultaneous material and texture
recognition,” Nano Energy, vol. 93,
March 2022, 106798. [PDF]
J68.
X. Wang, D. Zhu, G.
Li, X.-P. Zhang, and Y. He, “Proposal-Copula-Based Fusion of Spaceborne and
Airborne SAR Images for Ship Target Detection,” Information Fusion, vol. 77, pp. 247–260, 2022. [PDF]
J69.
X. Jiang, G. Li,
X.-P. Zhang, and Y. He, “A Semisupervised Siamese Network for Efficient Change
Detection in Heterogeneous Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp.
1-18, DOI: 10.1109/TGRS.2021.3061686, 2022. [PDF]
J70.
W. Zhang, G. Li,
Z. Wang, and H. Wu, “Non-contact monitoring of human heartbeat signals using
mm-wave frequency-modulated continuous-wave radar under low signal-to-noise
ratio conditions,” IET Radar, Sonar &
Navigation, 2021, pp. 1-14. [PDF]
J71.
D. Tan, Y. Liu,
G. Li, L. Yao, S. Sun, and Y. He, “Sequential GANs: A feature-preserving
heterogeneous remote sensing image transformation model,” Remote Sensing, 2021, vol. 13, 3968.
https://doi.org/10.3390/rs13193968. [PDF]
J72.
李刚, 刘瑜, 张庆君, “多源卫星数据在轨智能融合技术,” 中国科学基金, vol. 35, no. 5, pp. 708-712, 2021. [PDF] (in Chinese)
J73.
王雪松, 李健兵, 徐丰, 李刚, 程强, “电磁空间信息资源的认知与利用,” 中国科学基金, vol. 35, no. 5, pp. 682-687, 2021. [PDF] (in Chinese)
J74.
X. Wang, G. Li,
A. Plaza, and Y. He, “Ship Detection in SAR Images via Enhanced Nonnegative
Sparse Locality-Representation of Fisher Vectors,” IEEE Transactions on Geoscience and Remote Sensing, vol. 59, nol.
11, pp. 9424-9438, Nov. 2021. [PDF]
J75.
D. Zhu, X. Wang, Y.
Cheng, and G. Li, “Vessel Target Detection in Spaceborne-Airborne
Collaborative SAR Images via Proposal and Polarization Fusion,” Remote Sensing, 2021, vol. 13, 3957.
https://doi.org/ 10.3390/rs13193957. [PDF]
J76.
C. Li, G. Li,
and P. K. Varshney, “Communication Efficient Federated Learning Based on
Compressed Sensing,” IEEE Internet of
Things Journal, vol. 8, no. 20, pp. 15531-15541, Oct. 2021. [PDF]
J77.
J. Han, G. Li,
and X.-P. Zhang, “One-Bit Radar Imaging via Adaptive Binary Iterative Hard
Thresholding,” IEEE Transactions on
Computational Imaging, vol. 7, pp. 1005-1017, 2021. [PDF].
J78.
D. Zhu, S. Wang,
and G. Li, “Multiple-Fold Redundancy Arrays With Robust Difference Coarrays:
Fundamental and Analytical Design Method,” IEEE
Transactions on Antennas and Propagation, vol.69, no.9, pp. 5570-5584,
Sept. 2021. [PDF]
J79.
D. Zhu, X. Peng,
and G. Li, “A Matrix Completion Based Method for RFI Source Localization
in Microwave Interferometric Radiometry,” IEEE
Transactions on Geoscience and Remote Sensing, vol. 59, no. 9, pp.
7588-7602, Sept. 2021. [PDF]
J80.
Z. Jiang, X. Wang, G.
Li, X.-P. Zhang, and Y. He, “Space-Time Adaptive Processing by Employing
Structure-Aware Two-Level Block Sparsity,” IEEE
Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
vol. 14, pp. 6386-6397, 2021. [PDF]
J81.
Z. Wang, J. Li, Y.
Jin, J. Wang, F. Yang, G. Li, X. Ni, W. Ding, “Sensing beyond itself:
Multi-functional use of ubiquitous signals towards wearable applications,” Digital Signal Processing, vol. 116,
103091, Sept. 2021. [PDF]
J82.
X. Wang, G. Li,
X.-P. Zhang, and Y. He, “A Fast CFAR Algorithm Based on Density-Censoring
Operation for Ship Detection in SAR Images,”
IEEE Signal Processing Letters, vol. 28, pp. 1085 – 1089, May 2021. [PDF]
J83.
郑春弟，李刚，陈荟慧，王爱国，“二次谐波加权重构的77GHz FMCW 雷达心率监测方法”，西安电子科技大学学报，vol. 48, no. 2, 2021 年4 月. [PDF] (in Chinese)
J84.
X. Wang, Y. He, G.
Li, and A. Plaza, “Adaptive Superpixel Segmentation of Marine SAR Images by
Aggregating Fisher Vectors,” IEEE Journal
of Selected Topics in Applied Earth Observations and Remote Sensing, vol.
14, pp. 2058-2069, 2021.
[PDF]
J85. 何友, 姚力波, 李刚, 刘瑜, 杨冬, 李文峰, “多源卫星信息在轨融合处理分析与展望,” 宇航学报, 2021, 42
(1): 1-10. [PDF] (in
Chinese)
J86.
Z. Wang, G. Li,
and L. Yang, “Dynamic Hand Gesture Recognition Based on Micro-Doppler Radar
Signatures Using Hidden Gauss-Markov Models,” IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 2, pp.
291-295, Feb. 2021. [PDF]
J87.
B. Dong, G. Li,
K. Wang, and M. Duan, “Unambiguous Range Extension for Pulse-Doppler Radar via Poisson Disk
Sampling,” IET Radar, Sonar & Navigation, 2021,
vol. 15, pp. 9-20. [PDF]
J88. C. Li, G. Li, and P. K. Varshney, “Distributed Detection of Sparse
Signals With Physical Layer Secrecy Constraints: A Falsified Censoring
Strategy,” IEEE Transactions on Signal
Processing, vol. 68, pp. 6040-6054, 2020. [PDF]
J89. Y. Liu, J. Liu, C. Xu, G. Li, and Y. He, “Fully distributed
variational Bayesian non-linear filter with unknown measurement noise in sensor
networks,” Science China - Information
Sciences, 2020, 63(11): 210202. [PDF]
J90. Z. Wang, G. Li, and H. Chen, “Adaptive Persymmetric Subspace
Detectors in the Partially Homogeneous Environment,” IEEE Transactions on Signal Processing, vol. 68, pp. 5178 - 5187, 2020. [PDF].
J91.
W. Zhang, G. Li,
and C. Baker, “Radar Recognition of Multiple Micro-Drones Based on Their
Micro-Doppler Signatures via Dictionary Learning,” IET Radar, Sonar & Navigation, vol. 14, no. 9, pp. 1310 –
1318. Sept. 2020. [PDF]
J92.
X. Wang, G. Li,
X.-P. Zhang, and Y. He, “Ship Detection in SAR Images via Local Contrast of
Fisher Vectors,” IEEE Transactions on
Geoscience and Remote Sensing, vol. 58, no. 9, pp. 6467-6479, Sept. 2020. [PDF]
J93.
王志豪,李刚,蒋骁, “基于光学和SAR遥感图像融合的洪灾区域检测方法,” 雷达学报,
vol. 9, no. 3, pp. 539-553, 2020年6月. [PDF] (in Chinese)
J94.
C. Li, G. Li,
and P. K. Varshney, “Distributed Detection of Sparse Stochastic Signals With
1-Bit Data in Tree-structured Sensor Networks,” IEEE Transactions on Signal Processing, vol. 68, pp. 2963-2976,
2020. [PDF]
J95.
Z. Wang, G. Li,
and M. Li, “Adaptive Detection of Distributed Target in the Presence of Signal
Mismatch in Compound Gaussian Clutter,”
Digital Signal Processing, vol. 102, July 2020, 102755. [PDF]
J96.
J. Han, G. Li,
and X.-P. Zhang, “Refocusing of Moving Targets Based on Low-bit Quantized SAR
Data via Parametric Quantized Iterative Hard Thresholding,” IEEE Transactions on Aerospace and
Electronic Systems, vol. 56, no. 3, pp. 2198 – 2211, June 2020. [PDF]
J97.
D. Zhu, J. Li, and G.
Li, “RFI Source Localization in Microwave Interferometric Radiometry: A
Sparse Signal Reconstruction Perspective,” IEEE
Transactions on Geoscience and Remote Sensing, vol. 58, no. 6, pp.
4006-4017, June 2020. [PDF]
J98.
X. Jiang, G. Li,
Y. Liu, X.-P. Zhang, and Y. He, “Change Detection in Heterogeneous Optical and
SAR Remote Sensing Images via Deep Homogeneous Feature Fusion,” IEEE Journal of Selected Topics in Applied
Earth Observations and Remote Sensing, vol. 13, pp. 1551 – 1566, 2020. [PDF]
J99.
P. Zhang, G. Li,
C. Huo, and H. Yin, “Exploitation of Multipath Micro-Doppler Signatures for
Drone Classification,” IET Radar, Sonar
& Navigation, vol. 14, no. 4, pp. 586 – 592, April 2020. [PDF]
J100.
C. Li, G. Li,
and P. K. Varshney, “Distributed Detection of Sparse Signals with Censoring
Sensors via Locally Most Powerful Test,” IEEE
Signal Processing Letters, vol. 27, pp. 346-350, 2020. [PDF]
J101. G. Chen, G. Li, Y. Liu, X.-P. Zhang, and L. Zhang, “SAR Image
Despeckling Based on Combination of Fractional-Order Total Variation and
Nonlocal Low Rank Regularization,” IEEE
Transactions on Geoscience and Remote Sensing, vol. 58, no. 3, pp.
2056-2070, Mar. 2020. [PDF]
J102. X. Jiang, Y. He, G. Li, Y. Liu, and X.-P. Zhang, “Building Damage
Detection via Superpixel-Based Belief Fusion of Space-Borne SAR and Optical
Images”, IEEE Sensors Journal, vol.
20, no. 4, pp. 2008-2022, Feb. 2020. [PDF]
J103.
Z. Zhao, R. Tao, G.
Li, and Y. Wang, “Clustered Fractional Gabor Transform,” Signal Processing, vol. 166, pp. 1-13,
Jan. 2020. [PDF]
J104. Z. Zhao, R. Tao, G. Li, and Y. Wang, “Sparse Fractional Energy
Distribution and Its Application to Radar Detection of Marine Targets with
Micro-motion,” IEEE Sensors Journal,
vol. 19, no. 24, pp. 12165-12174, Dec. 2019. [PDF]
J105.
C. Li, Y. He, X.
Wang, G. Li, and P. K. Varshney, “Distributed Detection of Sparse
Stochastic Signals via Fusion of 1-bit Local Likelihood Ratios,” IEEE Signal Processing Letters, vol. 26,
no. 12, pp. 1738-1742, Dec. 2019. [PDF]
J106.
X. Wang, G. Li,
C. Quan, and P. K. Varshney, “Distributed Detection of Sparse Stochastic
Signals with Quantized Measurements: The Generalized Gaussian Case,” IEEE Transactions on Signal Processing,
vol. 67, no. 18, pp. 4886 – 4898, Sept. 2019. [PDF]
J107.
C. Li, G. Li,
B. Kailkhura, and P. K. Varshney, “Secure Distributed Detection of Sparse
Signals via Falsification of Local Compressive Measurements,” IEEE Transactions on Signal Processing,
vol. 67, no. 18, pp. 4696-4706, Sept. 2019. [PDF]
J108.
Y. Chen, G. Li,
and Q. Zhang, “Iterative Minimum-Entropy Algorithm for Refocusing of Moving Targets
in SAR Images,” IET Radar, Sonar &
Navigation, vol. 13, no. 8, pp. 1279 – 1286, Aug. 2019. [PDF]
J109.
X. Yang, G. Li,
J. Sun, Y. Liu, and X.-G. Xia, “High-Resolution and Wide-Swath SAR Imaging via
Poisson Disk Sampling and Iterative Shrinkage Thresholding,” IEEE Transactions on Geoscience and Remote
Sensing, vol. 57, no. 7, pp. 4692-4704, July 2019. [PDF]
J110.
X. Wang, G. Li,
and P. K. Varshney, "Detection of Sparse Stochastic Signals with Quantized
Measurements in Sensor Networks," IEEE
Transactions on Signal Processing, vol. 67, no. 8, pp. 2210-2220, April
2019. [PDF]
J111.
X. Wang, G. Li,
and P. K. Varshney, “Distributed Detection of Weak Signals From One-Bit Measurements
Under Observation Model Uncertainties,” IEEE
Signal Processing Letters, vol. 26 , no. 3, pp. 415 – 419, March 2019. [PDF]
J112.
X. Wang, G. Li,
Y. Liu, and M. G. Amin, “Enhanced 1-Bit Radar Imaging by Exploiting Two-Level
Block Sparsity,” IEEE Transactions on Geoscience
and Remote Sensing, vol. 57, no. 2, pp. 1131-1141, Feb. 2019. [PDF]
J113.
章鹏飞, 李刚, 霍超颖, 殷红成, “基于双雷达微动特征融合的无人机分类识别,” 雷达学报, vol. 7, no. 5, pp. 557-564, Oct. 2018. (in
Chinese) [PDF]
J114.
L. Yang and G.
Li, “Sparsity Aware Dynamic Gesture Recognition Using Radar Sensors with
Angular Diversity,” IET Radar, Sonar
& Navigation, vol. 12, no. 10, pp. 1114 –1120, Oct. 2018. [PDF]
J115.
Z. Zhao, R. Tao, G.
Li, and Y. Wang, “Fractional Sparse Energy Representation Method
for ISAR Imaging,” IET Radar,
Sonar & Navigation, vol. 12, no. 9, pp. 988 – 997, Sept. 2018. [PDF]
J116.
X. Wang, G. Li,
and P. K. Varshney, “Detection of Sparse Signals in Sensor Networks via Locally
Most Powerful Tests,” IEEE Signal
Processing Letters, vol. 25, no. 9, pp. 1418-1422, Sept. 2018. [PDF]
J117.
G. Li, S. Zhang, F. Fioranelli, and H. Griffiths, “Effect of sparsity-aware
time–frequency analysis on dynamic hand gesture classification with radar
micro-Doppler signatures,” IET Radar,
Sonar & Navigation, vol. 12, no. 8, pp. 815-820, Aug. 2018. [PDF]
J118.
Z. Chen, G. Li,
F. Fioranelli, and H. Griffiths, “Personnel Recognition and Gait Classification
Based on Multistatic Micro-Doppler Signatures Using Deep Convolutional Neural
Networks,” IEEE Geoscience and Remote
Sensing Letters, vol. 15, no. 5, pp. 669-673, May 2018. [PDF]
J119.
G. Li, R. Zhang, M. Ritchie, and H. Griffiths, “Sparsity-Driven Micro-Doppler
Feature Extraction for Dynamic Hand Gesture Recognition," IEEE Transactions on Aerospace and
Electronic Systems, vol. 54, no. 2, pp. 655-665, April 2018. [PDF]
J120.
W. Zhang and G.
Li, “Detection of Multiple Micro-Drones via Cadence Velocity Diagram
Analysis”, Electronics Letters, vol.
54, no. 7, pp. 441 –443, April 2018. [PDF] (selected as Feature Article)
J121.
Z. Liu, G. Li,
G. Mercier, Y. He, and Q. Pan, “Change detection in heterogenous remote sensing
images via homogeneous pixel transformation,” IEEE Transactions on Image Processing, vol. 27, no. 4, pp. 1822 –
1834, April 2018. [PDF]
J122.
X. Wang, G. Li,
Y. Liu, and M. G. Amin, “Two-Level Block Matching Pursuit for Polarimetric
Through-Wall Radar Imaging,” IEEE
Transactions on Geoscience and Remote Sensing, vol. 56, no. 3, pp.
1533-1545, Mar. 2018. [PDF]
J123.
Y. Liu, J. Liu, G.
Li, L. Qi, Y. Li, and Y. He, “Centralized Multi-sensor Square Root Cubature
Joint Probabilistic Data
Association, ” Sensors,
2017, 17(11), 2546; doi:10.3390/s17112546. [PDF]
J124.
Y. Chen, G. Li,
Q. Zhang, and J. Sun, “Refocusing of Moving Targets in SAR images via
Parametric Sparse Representation,” Remote
Sensing, 2017, 9(8), 795; doi:10.3390/rs9080795. [PDF]
J125.
X. Wang, G. Li,
Q. Wan, and R. J. Burkholder, “Look-Ahead Hybrid Matching Pursuit for
MultiPolarization Through-Wall Radar Imaging,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 7,
pp. 4072 – 4081, July 2017. [PDF]
J126.
L. Yang, G. Chen,
and G. Li, “Classification of Personnel Targets with Baggage Using
Dual-band Radar,” Remote Sensing, 2017,
9(6), 594; doi: 10.3390/rs9060594. [PDF]
J127.
G. Chen, G. Li,
and J. Zhang, “Tensor Compressed Video Sensing Reconstruction by Combination of
Fractional-Order Total Variation and Sparsifying Transform,” Signal Processing: Image Communication,
vol. 55, pp. 146-156, July 2017. [PDF]
J128. R. Zhang, G. Li, C. Clemente, and J. J. Soraghan, “Multi-Aspect
Micro-Doppler Signatures for Attitude-Independent L/N Quotient Estimation and
its Application to Helicopter Classification,” IET Radar, Sonar & Navigation, vol. 11,
no. 4, pp. 701-708, April 2017. [PDF]
J129.
Y. Chen,
G. Li, Q. Zhang, Q. Zhang, and X.-G. Xia, “Motion Compensation for Airborne
SAR via Parametric Sparse Representation,” IEEE Transactions on Geoscience and Remote
Sensing, vol. 55, no. 1, pp. 551-562, Jan. 2017. [PDF]
J130.
R. Zhang, G. Li,
and Y. D. Zhang, “Micro-Doppler Interference Removal via Histogram Analysis in
Time-Frequency Domain”, IEEE Transactions
on Aerospace and Electronic Systems, vol. 52, no. 2, pp. 755-768, Apr. 2016.
[PDF]
J131.
李刚, 夏香根, “参数化稀疏表征在雷达探测中的应用”, 雷达学报, vol. 5, no. 1, pp. 1-7, Feb. 2016. (in
Chinese) [PDF]
J132. G. Li, T. Wimalajeewa, and P. K. Varshney, “Decentralized and
Collaborative Subspace Pursuit: A Communication-Efficient Algorithm for Joint
Sparsity Pattern Recovery with Sensor Networks,” IEEE Transactions on Signal Processing, vol. 64, no. 3, pp.
556-566, Feb. 2016. [PDF]
J133. Y. Zhang,
J. Sun, P. Lei, G. Li, and W. Hong,
“High-Resolution SAR based Ground Moving Target Imaging with Defocused ROI
Data,” IEEE Transactions on
Geoscience and Remote Sensing, vol. 54, no. 2, pp. 1062-1073, Feb.
2016. [PDF]
C1.
C. Liu, G. Li, X. Wang, Z. Wu, Z. Wang, “A Novel Self-Supervised Approach for
Heterogeneous Image Change Detection,” International
Geoscience and Remote Sensing Symposium (IGARSS) 2025, Brisbane,
Australia, 3-8 August 2025.
C2. N. Zhang, X. Wang, G. Li, “Unsupervised Red Tide Detection in Hyperspectral Remote Sensing
Images: A Hypergraph-Based Method Incorporating Spectral Similarity and Spatial
Distances,” International Geoscience and
Remote Sensing Symposium (IGARSS) 2025, Brisbane,
Australia, 3-8 August 2025.
C3.
N. Zhang, X. Wang, G. Li, “Hypergraph-Based Change Detection in Heterogeneous Remote Sensing
Images,” International Geoscience and
Remote Sensing Symposium (IGARSS) 2025, Brisbane,
Australia, 3-8 August 2025.
C4.
Q. Hu, L. Zhang, X.
Wang, G. Li, Y. Liu, X.-P. Zhang, “When Marine Radar Target Detection Meets
Pretrained Large Language Models,” International
Geoscience and Remote Sensing Symposium (IGARSS) 2025, Brisbane,
Australia, 3-8 August 2025.
C5. Z. Wang, X. Wang, G. Li, “CECMR: Calibrated Evidential Learning for Cross Modal Remote Sensing Image-Text Retrieval,” International Geoscience and Remote Sensing Symposium (IGARSS) 2025, Brisbane, Australia, 3-8 August 2025.
C6.
H. Zhang, C. Zhang,
X. Wang, G. Li, X.-P. Zhang, “A Novel Radar Constant False Alarm Rate Detection
Algorithm based on Vamp Deep Unfolding,” International
Geoscience and Remote Sensing Symposium (IGARSS) 2025, Brisbane,
Australia, 3-8 August 2025.
C7. C. Zhang, H. Zhang, X. Wang, G. Li, “Lightweight Change Detection With Backpropagation-Free Online
Finetuning Method For Heterogeneous Remote Sensing Images,” International Geoscience and Remote Sensing
Symposium (IGARSS) 2025, Brisbane, Australia, 3-8 August 2025.
C8. L. Zhang, Q. Hu, X. Wang, Y. Liu, G. Li, “GLRT-RSDOR: GLRT-based Remote Sensing Difficult Object Retrieval,” International Geoscience and Remote Sensing Symposium (IGARSS) 2025, Brisbane, Australia, 3-8 August 2025.
C9.
Y.-W. Zhuo, X.
Wang, J. Han, G. Li, and X.-P. Zhang, “A Joint Optimization Method of Pulse Transmission and
Range-Doppler Reconstruction for Pulse-Doppler Radar,” 2024 IEEE
International Conference on Signal, Information and Data Processing (ICSIDP),
Zhuhai, China, 22-24 Nov. 2024. [PDF]
C10. W. Li, X. Wang, G. Li, B. Geng, and P. K. Varshney, “Change Detection in Heterogeneous Remote
Sensing Images Based on Copula-Supervised Neural Networks”, 2024 IEEE
International Conference on Signal, Information and Data Processing (ICSIDP),
Zhuhai, China, 22-24 Nov. 2024. [PDF]
C11. W. Wang, C. Li, Z. Chen, W. Zhang, Z. Wang, X. Guo, J. Guan, and G. Li, “Detection of Sleep Apnea-Hypopnea Events Using Millimeter-wave Radar
and Pulse Oximeter,” IEEE EMBC 2024 - 46th Annual International Conference
of the IEEE Engineering in Medicine & Biology Society, Orlando, FL,
USA, 15-19 July 2024. [PDF]
C12. Z. Zhang, D. Han, X. Guo, H. Liu, G.
Li, and J. Wu, “High-Resolution Beamforming Microwave
Interferometric Radiometer”, International
Geoscience and Remote Sensing Symposium (IGARSS) 2024, Athens,
Greece, 07-12 July 2024. [PDF]
C13. B. Li, X. Guo, H. Liu, D. Han, G.
Li, J. Wu, “Water Vapor Winds in the Arctic Region
retrieved from FY-3D MWHS-II 183.31-GHz Brightness Temperature,” International Geoscience and Remote Sensing
Symposium (IGARSS) 2024, Athens, Greece, 07-12 July 2024. [PDF]
C14. B. Li, X. Guo, H. Liu, D. Han, X. Tong, C. Zhang, L. Niu, G. Li, and W. Zhou, “MICAP radiometer airborne campaign: preliminary results of L/C/K tri-frequency interferometric radiometer”, International Geoscience and Remote Sensing Symposium (IGARSS) 2024, Athens, Greece, 07-12 July 2024. [PDF]
C15. C. Qin, X. Wang, Y. Liu, and G. Li, “A Novel
End-To-End Transformer Network for Small Scale Ship Detection in SAR Images”, International Geoscience and Remote Sensing
Symposium (IGARSS) 2024, Athens, Greece, 07-12 July 2024. [PDF]
C16. Z. Wang, X. Wang, G. Li, and W. Wu, “MBF: A Multi-Band Fusion Method for
Sandy Water Extent Mapping Based on Multispectral Satellite Images”, International Geoscience and Remote Sensing
Symposium (IGARSS) 2024, Athens, Greece, 07-12 July 2024. [PDF]
C17. C. Zhang, X. Wang, and G. Li, “Lightweight Change Detection of Heterogeneous Remote Sensing Images Based on Online All-Integer-Pruning Training” International Geoscience and Remote Sensing Symposium (IGARSS) 2024, Athens, Greece, 07-12 July 2024. [PDF]
C18. L. Xue, X. Wang, Z. Wang, L. Zhang, and
G. Li, “A Lightweight Patch-Level Change Detection
Network Via Exploring the Potential of Pruning and Multi-Scale Pooling,” International Geoscience and Remote Sensing
Symposium (IGARSS) 2024, Athens, Greece, 07-12 July 2024. [PDF]
C19. Y. Zhou, X. Wang, Z. Wang, G. Li, and L. Zhang, “Super-Pixel
Fisher Vector-Based Green Algae Detection in Multispectral Remote Sensing
Images,” International Geoscience and
Remote Sensing Symposium (IGARSS) 2024, Athens, Greece, 07-12 July 2024. [PDF]
C20. L. Zhang, Y. Liu, X. Wang, L. Xue, G. Li, Y. Liu, Z. Jiang,
and Y. Zhang, “CPDTD: Content-Perception Downsampling-Based Small Target
Detector in Remote Sensing Images”, International
Geoscience and Remote Sensing Symposium (IGARSS) 2024,
Athens, Greece, 07-12 July 2024. [PDF]
C21. W. Li, L. Xue, X. Wang, and G. Li, “MCTNet: A Multi-Scale CNN-Transformer Network for
Change Detection in Optical Remote Sensing Images,” International
Conference on Information Fusion (FUSION 2023), Charleston, SC, USA, 27-30
June 2023. [PDF]
C22. X. Guo, B. Li, D. Han, H. Liu, G. Li, and J. Wu, “Preliminary
aliasing error analysis of a ground-based interferometric radiometry concept
for lunar observation”, International
Geoscience and Remote Sensing Symposium (IGARSS) 2023, Pasadena,
CA, USA, 16-21 July 2023. [PDF]
C23. Y. Zhang, X. Wang, G. Li, and Y. He, “Dense ship detection guided by
centrality prior information in SAR images” International
Geoscience and Remote Sensing Symposium (IGARSS) 2023, Pasadena,
CA, USA, 16-21 July 2023. [PDF]
C24. C. Qin, X. Wang, G. Li, and Y. He, “Label augmentation network
based on self-distillation for SAR ship detection in complex background”, International Geoscience and Remote Sensing
Symposium (IGARSS) 2023, Pasadena, CA, USA, 16-21 July 2023.
[PDF]
C25. Z. Wang, X. Wang, G. Li, C. Li, “HGR maximal correlation augmented
cross-modal remote sensing retrieval”, International
Geoscience and Remote Sensing Symposium (IGARSS) 2023, Pasadena,
CA, USA, 16-21 July 2023. [PDF]
C26. Z. Ji, X. Wang, Z. Wang, and G. Li, “An Unsupervised Siamese
Superpixel-Based Network for Change Detection in Heterogeneous Remote Sensing
Images”, International Geoscience and
Remote Sensing Symposium (IGARSS) 2023, Pasadena, CA, USA, 16-21 July 2023. [PDF]
C27. Z. Wang, X. Wang, and G. Li, “An extremely lightweight u-net with
soft fusion for flood detection using multi-source satellite images,” International Geoscience and Remote Sensing
Symposium (IGARSS) 2023,
Pasadena, CA, USA, 16-21 July 2023.
[PDF]
C28. Y. Zhang, G. Li, X.-P. Zhang, and Y. He, “Transformer-based
tracking Network for Maneuvering Targets,” IEEE International
Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2023. [PDF]
C29. R. Li, X. Wang, G. Li, and X.-P. Zhang, “TEFISTA-NET: GTD
parameter estimation of low-frequency ultra-wideband radar via model-based deep
learning,” IEEE International Conference on Acoustics, Speech, and
Signal Processing (ICASSP) 2023. [PDF]
C30. Y. Zhang, X. Wang, Z. Jiang, G. Li, and Y. He, “MLS-NET: an
efficient convolutional network for multi-scale ship detection in SAR images”, Radar 2022: International Conference on
Radar Systems. [PDF]
C31. X. Wang, D. Zhu, G. Li, and X.-P. Zhang, “A New Image Fusion
Method for Ship Target Enhancement in Spaceborne and Airborne SAR
Collaboration,” International Conference
on Information Fusion (FUSION 2021). [PDF]
C32. D. Zhu and G. Li, “SMOS RFI Detection Based on Reweighted L1-norm
Mininization,” International Geoscience
and Remote Sensing Symposium (IGARSS) 2021. [PDF]
C33. D. Zhu, X. Wang, G. Li, and X.-P. Zhang, “Fusion of Spaceborne and
Airborne SAR images Using Saliency and Fuzzy Logic for Vessel Detection,” International Geoscience and Remote Sensing
Symposium (IGARSS) 2021. [PDF]
C34. Z. Xia, J. Du, C. Jiang, J. Wang, Y. Ren, and G. Li, “Multi-UAV
Cooperative Target Tracking Based on Swarm Intelligence," 2021 IEEE International Conference on
Communications (ICC). [PDF]
C35. Z. Chen and G. Li, “Human Activity Classification with Neural
Network using Radar Micro-Doppler and Range Signatures,” IET International Radar Conference 2020. [PDF]
C36. D. Zhu and G. Li, “Location of SMOS RFI Sources Using a Matrix
Completion Approach”, International Geoscience
and Remote Sensing Symposium (IGARSS) 2020. [PDF]
C37. X. Wang, G. Li, and A. Plaza, “Adaptive Superpixel Segmentation
with Fisher Vectors for Ship Detection in SAR Images,” International Geoscience and Remote Sensing Symposium (IGARSS) 2020. [PDF]
C38. Y. Chen, Y. Zhao, G. Li, W. Wang, and P. Liu, “High-Resolution and
Wide-Swath Monostatic SAR Imaging via Random Beam Scanning”, IEEE
Sensor Array and Multichannel Signal Processing Workshop (SAM 2020).
[PDF]
C39. Z. Xia, J. Du, J. Wang, Y. Ren, G. Li, and B. Zhang, “Contract Based
Information Collection in Underwater Acoustic Sensor Networks”, IEEE International Conference on
Communications (ICC) 2020.
[PDF]
C40. D. Zhu, G. Li, and X.-P. Zhang, “Mirrored Arrays for
Direction-Of-Arrival Estimation,” IEEE International Conference on
Acoustics, Speech, and Signal Processing (ICASSP) 2020. [PDF]
C41. C. Li, G. Li, and P. K. Varshney, “Distributed Detection of Sparse
Signals with 1-Bit Data in Two-Level Two-Degree Tree-Structured Sensor Networks,”
IEEE
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2020. [PDF]
C42. X. Wang, G. Li, and X.-P. Zhang, “Contrast of Contextual Fisher
Vectors for Ship Detection in SAR Images,” 2020
IEEE International Radar Conference. [PDF]
C43. J. Han, G. Li, and X.-P. Zhang, “Design of Adaptive Thresholds for
One-Bit Radar Imaging Based on Adversarial Samples”, Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) 2019. (Excellent
Paper)
C44. Z. Wang and G. Li, “Adaptive Detection of Range-Spread Target in
the Presence of Signal Mismatch,” IEEE
International Conference on Signal, Information and Data Processing (ICSIDP)
2019.
C45. D. Zhu and G. Li, “Robust Sparse Arrays with Multiple-Fold
Redundant Difference Coarrays,” IEEE
International Conference on Signal, Information and Data Processing (ICSIDP)
2019. (Excellent
Paper)
C46. G. Chen, Q. Zhou, G. Li, X.-P. Zhang, C. Qu, “Tensor Based
Analysis Dictionary Learning for Color Video Denoising,” IEEE International Conference on Signal, Information and Data
Processing (ICSIDP) 2019.
C47. X. Wang, G. Li, C. Quan, and P. K. Varshney, “Distributed
Detection of Generalized Gaussian Sparse Signals with One-Bit Measurements,” International Conference on Information
Fusion (FUSION 2019).
C48. W. Zhang, G. Li, and C. Baker, “Dictionary Learning for Radar
Classification of Multiple Micro-Drones,” International
Conference on Radar 2019.
C49. Y. Li, Y. He, G. Li, and Y. Liu, “Modified Smooth Variable
Structure Filter for Radar Target Tracking,” International Conference on Radar 2019.
C50. X. Jiang, G. Li, Y. Liu, X.-P. Zhang, and Y. He, 'Homogeneous
transformation based on deep-level features in heterogeneous remote sensing
images,” International
Geoscience and Remote Sensing Symposium (IGARSS) 2019.
C51. J. Han, G. Li, X.-P. Zhang, “Parametric Quantized Iterative Hard
Thresholding for SAR Moving Target Refocusing Based on Low-Bit-Rate Quantized
Data,” IEEE Radar Conference 2019.
C52. X. Yang, G. Li, Y. Liu, J. Sun, and X.-G. Xia, “Sparsity-Driven
High-Resolution and Wide-Swath SAR Imaging via Poisson Disk Sampling,” IEEE Radar Conference 2019.
C53. Z. Chen and G. Li, F. Fioranelli, and H. Griffiths, “Dynamic Hand
Gesture Classification Based on Multistatic Radar Micro-Doppler Signatures
Using Convolutional Neural Network,” IEEE
Radar Conference 2019.
C54. Z. Jiang, G. Li, X. Wang, X.-P. Zhang, Y. He, “STAP Based on
Two-Level Block Sparsity,” IEEE Radar
Conference 2019.
C55. J. Zhang, Y. He, Y. Peng, and G. Li, “Cooperative Path Planning
for Adversarial Target based on Neural Network and Artificial Potential Field,”
The 2018 IEEE/CSAA Guidance, Navigation
and Control Conference (IEEE/CSAA GNCC2018).
C56. L. Yang and G. Li, "Sparsity Aware Dynamic Gesture
Classification Using Dual-band Radar", International
Radar Symposium (IRS 2018).
C57. G. Chen and G. Li, “Joint of Discrete Curvelet Transform and
Nonlocal Tensor Sparse Regularization for SAR Image Despeckling,” The IEEE International Conference on Imaging
Systems and Techniques (IST 2017).
C58. T. Li, Q. Zhang, Y. Zhu, Y. Liu and G. Li, “High Resolution SAR
Imaging with GF-3 Data Using 1-D Compressive Sensing Method,” 2017 IEEE Asia Pacific Microwave Conference
(APMC).
C59. P. Zhang, L. Yang, G. Chen, and G. Li, “Classification of Drones
Based on Micro-Doppler Signatures with Dual-band Radar Sensors,” Progress In Electromagnetics Research
Symposium (PIERS 2017).
C60. Z. Liu, L. Zhang, G. Li, and Y. He, “Change Detection in
Heterogeneous Remote Sensing Images Based on the Fusion of Pixel Transformation,”
International Conference on Information
Fusion (FUSION 2017).
C61. X. Wang , G. Li, and Y. Liu, "Multi-Polarization Radar
Imaging Using Two-Level Block Matching Pursuit, "International Conference on Radar Systems 2017.
C62. G. Chen, G. Li, Y. Liu, X.-P. Zhang, and L. Zhang, "SAR Image
Despeckling by Combination of Fractional-order Total Variation and nonlocal low
rank regularization," IEEE
International Conference on Image Processing (ICIP) 2017.
C63. G. Li, R. Zhang, M. Ritchie, and H. Griffiths, “Sparsity-Based Dynamic Hand
Gesture Recognition Using Micro-Doppler Signatures,” 2017 IEEE Radar Conference. (Invited)
C64. T. Li, Q. Zhang, and G. Li, “An Adaptive Sparse Measurement Matrix
Design and Selection Strategy for Compressive Sensing SAR,” 2016 CIE International Conference on Radar.
C65. S. Zhang , G. Li, M. Ritchie, F. Fioranelli, and H. Griffiths,
“Dynamic Hand Gesture Classification Based on Radar Micro-Doppler Signatures,” 2016 CIE International Conference on Radar.
C66. L. Yang, G. Li, M. Ritchie, F. Fioranelli, and H. Griffiths, “Gait
Classification Based on Micro-Doppler Features,” 2016 CIE International Conference on Radar.
C67. R. Zhang and G. Li, “Multistatic Micro-Doppler Signatures for
Rotation Radius Estimation,” 2016 CIE
International Conference on Radar.
C68. C. Zheng, G. Li, and Y. Li, “High Resolution Through-wall Radar
Imaging Using Hyperparameter-Free LIKES Method,” International Geoscience and Remote Sensing
Symposium (IGARSS) 2016.
C69. C. Zheng, G. Li, and Q. Zhang, “An improved noise subspace fitting
algorithm for through-wall radar imaging,” European
Radar Conference 2016.
C70. Y. Chen, G. Li, and Q. Zhang, “Modified Multiple-Measurement
Vector Model for SAR Imaging,” 2016 IEEE
Radar Conference.
C71. W. Zhao and G. Li, C. Zheng, and F. Ge, “Capon Cepstrum Weighted L2,1
Minimization for Wideband DOA Estimation With Sonar Arrays,” OCEANS 2016 MTS/IEEE.
C72. C. Zheng, G. Li, and Y. Li, “Subspace fitting via
sparse representation of signal covariance for DOA estimation”, IEEE International Conference on
Acoustics, Speech, and Signal Processing (ICASSP) 2016.