Jinshan Zeng

111 papers A* 7A 1B 4C 2Misc 4Journal 88Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
BraveANN: Robust Approximate Nearest Neighbor Search for Billion-Scale Vectors.
World Wide Web (WWW)
Shengkun Zhu, Yiming Wang, Xin Jin, Jinshan Zeng, Sheng Wang, Yuan Sun, Yuhui Lai, Zhiyong Peng
2026 J jnl
Cross-lingual font generation via patch-level style contrastive learning and relative position awareness.
Pattern Recognit.
Jinshan Zeng, Yiyang Yuan, Xijia Wang, Yan Zhang, Yefei Wang
2026 J jnl
DeRe-Net: details restoration networks for polyp segmentation.
Multim. Syst.
Huan Wan, Qinqin Wang, Jinshan Zeng, Xin Wei
2026 J jnl
Distinct Polyp Generator Network for polyp segmentation.
Image Vis. Comput.
Huan Wan, Jing Ai, Jing Liu, Xin Wei, Jinshan Zeng, Jianyi Wan
2026 J jnl
Highly-Efficient Large-Scale k-means with Individual Fairness.
Proc. VLDB Endow.
Shengkun Zhu, Jinshan Zeng, Yuan Sun, Sheng Wang, Yiming Wang, Yushuai Ji, Feiping Nie, Xiaodong Li, Zhiyong Peng
2026 J jnl
Learning a Self-Supervised Low-Rank Decomposition Network for Hyperspectral Image Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol.
Yong Chen, Min Zhou, Xinfeng Gui, Feiwang Yuan, Wei He, Jinshan Zeng
2026 A* conf
LoRA-E
WWW
Shengkun Zhu, Jinshan Zeng, Yiming Wang, Sheng Wang, Yuan Sun, Shangfeng Chen, Yuan Yao, Qiang Yang
2025 J jnl
EDG-CDM: A New Encoder-Guided Conditional Diffusion Model-Based Image Synthesis Method for Limited Data.
IET Comput. Vis.
Haopeng Lei, Hao Yin, Kaijun Liang, Mingwen Wang, Jinshan Zeng, Guoliang Luo
2025 J jnl
EdgeFont: Enhancing style and content representations in few-shot font generation with multi-scale edge self-supervision.
Expert Syst. Appl.
Yefei Wang, Kangyue Xiong, Yiyang Yuan, Jinshan Zeng
2025 J jnl
Feature Fusion-Guided Network With Sparse Prior Constraints for Unsupervised Hyperspectral Image Quality Improvement.
IEEE Trans. Geosci. Remote. Sens.
Feiwang Yuan, Yong Chen, Wei He, Jinshan Zeng
2025 — conf
FedAPM: Federated Learning via ADMM with Partial Model Personalization.
KDD (2)
Shengkun Zhu, Feiteng Nie, Jinshan Zeng, Sheng Wang, Yuan Sun, Yuan Yao, Shangfeng Chen, Quanqing Xu, Chuanhui Yang
2025 J jnl
FedAPM: Federated Learning via ADMM with Partial Model Personalization.
CoRR
Shengkun Zhu, Feiteng Nie, Jinshan Zeng, Sheng Wang, Yuan Sun, Yuan Yao, Shangfeng Chen, Quanqing Xu, Chuanhui Yang
2025 J jnl
Few-shot font generation via stroke prompt and hierarchical representation learning.
Expert Syst. Appl.
Jinshan Zeng, Yan Zhang, Yiyang Yuan, Ling Tu, Yefei Wang
2025 J jnl
Fusing Global Structural and Local Deep Features for Thick Cloud Removal in Multitemporal Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Yeqi Xu, Yong Chen, Maolin Chen, Wei He, Min Huang, Jinshan Zeng
2025 J jnl
GuessGas: Tell Me Fine-Grained Gas Consumption of My Smart Contract and Why.
IEEE Trans. Reliab.
Qing Huang, Renxiong Chen, Zhenchang Xing, Jinshan Zeng, Qinghua Lu, Xiwei Xu
2025 Misc conf
Learning Stroke-Order Dynamics in Few-Shot Font Generation via Sequential Awareness.
ICASSP
Jinshan Zeng, Yiyang Yuan, Yan Zhang, Yefei Wang, Xijia Wang
2025 J jnl
Low-Rank Tensor Meets Deep Prior: Coupling Model-Driven and Data-Driven Methods for Hyperspectral Image Reconstruction.
IEEE Trans. Circuits Syst. Video Technol.
Yong Chen, Feiwang Yuan, Wenzhen Lai, Jinshan Zeng, Wei He, Qing Huang
2025 A* conf
Self-Supervised Collaborative Information Bottleneck for Text Readability Assessment.
AAAI
Jinshan Zeng, Xianglong Yu, Xianchao Tong, Wenyan Xiao
2025 Misc conf
TriDE-Net: Triple-Densely Extraction Network for Precise Skin Lesion Segmentation.
ICASSP
Huan Wan, Taona Deng, Wujian Xu, Xin Wei, Jinshan Zeng
2024 J jnl
A guidable nonlocal low-rank approximation model for hyperspectral image denoising.
Signal Process.
Yong Chen, Juan Zhang, Jinshan Zeng, Wenzhen Lai, Xinfeng Gui, Tai-Xiang Jiang
2024 Misc conf
CLIP-Font: Sementic Self-Supervised Few-Shot Font Generation with Clip.
ICASSP
Jialu Xiong, Yefei Wang, Jinshan Zeng
2024 Misc conf
CLIP-MSA: Incorporating Inter-Modal Dynamics and Common Knowledge to Multimodal Sentiment Analysis With Clip.
ICASSP
Qi Huang, Pingting Cai, Tanyue Nie, Jinshan Zeng
2024 J jnl
Combining Low-Rank and Deep Plug-and-Play Priors for Snapshot Compressive Imaging.
IEEE Trans. Neural Networks Learn. Syst.
Yong Chen, Xinfeng Gui, Jinshan Zeng, Xi-Le Zhao, Wei He
2024 J jnl
Efficient k-means with Individual Fairness via Exponential Tilting.
CoRR
Shengkun Zhu, Jinshan Zeng, Yuan Sun, Sheng Wang, Xiaodong Li, Zhiyong Peng
2024 J jnl
Fast Large-Scale Hyperspectral Image Denoising via Noniterative Low-Rank Subspace Representation.
IEEE Trans. Geosci. Remote. Sens.
Yong Chen, Jinshan Zeng, Wei He, Xi-Le Zhao, Tai-Xiang Jiang, Qing Huang
2024 J jnl
Hyperspectral Compressive Snapshot Reconstruction via Coupled Low-Rank Subspace Representation and Self-Supervised Deep Network.
IEEE Trans. Image Process.
Yong Chen, Wenzhen Lai, Wei He, Xi-Le Zhao, Jinshan Zeng
2024 A* conf
InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning.
AAAI
Jinshan Zeng, Xianchao Tong, Xianglong Yu, Wenyan Xiao, Qing Huang
2024 J jnl
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness.
CoRR
Shengkun Zhu, Jinshan Zeng, Sheng Wang, Yuan Sun, Xiaodong Li, Yuan Yao, Zhiyong Peng
2024 J jnl
Revealing the Unseen: AI Chain on LLMs for Predicting Implicit Dataflows to Generate Dataflow Graphs in Dynamically Typed Code.
ACM Trans. Softw. Eng. Methodol.
Qing Huang, Zhiwen Luo, Zhenchang Xing, Jinshan Zeng, Jieshan Chen, Xiwei Xu, Yong Chen
2024 B conf
SCA-Font: Enhancing Few-Shot Generation with Style-Content Aggregation.
IJCNN
Yefei Wang, Sunzhe Yang, Kangyue Xiong, Jinshan Zeng
2024 — conf
SCI-Font: Enhancing Content-Style Representation for Chinese Calligraphy Generation with Skeleton, Contour and Inexact Paired Data.
ICANN (3)
Yan Zhang, Yefei Wang, Jialu Xiong, Jie Zhou, Jinshan Zeng
2024 J jnl
Sequential Manipulation Against Rank Aggregation: Theory and Algorithm.
CoRR
Ke Ma, Qianqian Xu, Jinshan Zeng, Wei Liu, Xiaochun Cao, Yingfei Sun, Qingming Huang
2024 J jnl
Sequential Manipulation Against Rank Aggregation: Theory and Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell.
Ke Ma, Qianqian Xu, Jinshan Zeng, Wei Liu, Xiaochun Cao, Yingfei Sun, Qingming Huang
2024 J jnl
Thick Cloud Removal in Multitemporal Remote Sensing Images via Low-Rank Regularized Self-Supervised Network.
IEEE Trans. Geosci. Remote. Sens.
Yong Chen, Maolin Chen, Wei He, Jinshan Zeng, Min Huang, Yu-Bang Zheng
2024 J jnl
Unidirectional Spatial and Spectral Smoothed Tensor Ring Decomposition for Hyperspectral Image Denoising and Destriping.
IEEE Geosci. Remote. Sens. Lett.
Yang Zhou, Yong Chen, Jinshan Zeng, Wei He, Min Huang
2023 J jnl
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation is the Fixed Point of Adversarial Game.
IEEE Trans. Pattern Anal. Mach. Intell.
Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao, Qingming Huang
2023 B conf
Enhancing Chinese Calligraphy Generation with Contour and Region-aware Attention.
IJCNN
Jinshan Zeng, Ling Tu, Jie Zhou, Yefei Wang, Jiguo Zeng
2023 J jnl
Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces.
IEEE Trans. Pattern Anal. Mach. Intell.
Yanwei Fu, Chen Liu, Donghao Li, Zuyuan Zhong, Xinwei Sun, Jinshan Zeng, Yuan Yao
2023 J jnl
F3KM: Federated, Fair, and Fast k-means.
Proc. ACM Manag. Data
Shengkun Zhu, Quanqing Xu, Jinshan Zeng, Sheng Wang, Yuan Sun, Zhifeng Yang, Chuanhui Yang, Zhiyong Peng
2023 — conf
PromptARA: Improving Deep Representation in Hybrid Automatic Readability Assessment with Prompt and Orthogonal Projection.
EMNLP (Findings)
Jinshan Zeng, Xianglong Yu, Xianchao Tong, Wenyan Xiao
2023 B conf
Zero-Shot Chinese Character Recognition with Stroke- and Radical-Level Decompositions.
IJCNN
Jinshan Zeng, Ruiying Xu, Yu Wu, Hongwei Li, Jiaxing Lu
2022 J jnl
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game.
CoRR
Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao, Qingming Huang
2022 J jnl
CodeGen-Test: An Automatic Code Generation Model Integrating Program Test Information.
CoRR
Maosheng Zhong, Gen Liu, Hongwei Li, Jiangling Kuang, Jinshan Zeng, Mingwen Wang
2022 — conf
Enhancing Automatic Readability Assessment with Pre-training and Soft Labels for Ordinal Regression.
EMNLP (Findings)
Jinshan Zeng, Yudong Xie, Xianglong Yu, John Lee, Ding-Xuan Zhou
2022 J jnl
Exploring Nonlocal Group Sparsity Under Transform Learning for Hyperspectral Image Denoising.
IEEE Trans. Geosci. Remote. Sens.
Yong Chen, Wei He, Xi-Le Zhao, Ting-Zhu Huang, Jinshan Zeng, Hui Lin
2022 J jnl
Fully corrective gradient boosting with squared hinge: Fast learning rates and early stopping.
Neural Networks
Jinshan Zeng, Min Zhang, Shao-Bo Lin
2022 J jnl
Hyperspectral Image Denoising Using Factor Group Sparsity-Regularized Nonconvex Low-Rank Approximation.
IEEE Trans. Geosci. Remote. Sens.
Yong Chen, Ting-Zhu Huang, Wei He, Xi-Le Zhao, Hongyan Zhang, Jinshan Zeng
2022 J jnl
Hyperspectral and Multispectral Image Fusion Using Factor Smoothed Tensor Ring Decomposition.
IEEE Trans. Geosci. Remote. Sens.
Yong Chen, Jinshan Zeng, Wei He, Xi-Le Zhao, Ting-Zhu Huang
2022 C conf
Image Processing and Control of Tracking Intelligent Vehicle Based on Grayscale Camera.
IPAS
Jian Zhang, Yufan Liu, Ao Li, Jinshan Zeng, Hongtu Xie
2022 J jnl
Moreau Envelope Augmented Lagrangian Method for Nonconvex Optimization with Linear Constraints.
J. Sci. Comput.
Jinshan Zeng, Wotao Yin, Ding-Xuan Zhou
2022 J jnl
Poisoning Attack Against Estimating From Pairwise Comparisons.
IEEE Trans. Pattern Anal. Mach. Intell.
Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, Qingming Huang
2022 J jnl
Reducing Capacity Gap in Knowledge Distillation with Review Mechanism for Crowd Counting.
CoRR
Yunxin Liu, Qiaosi Yi, Jinshan Zeng
2022 J jnl
SGCE-Font: Skeleton Guided Channel Expansion for Chinese Font Generation.
CoRR
Jie Zhou, Yefei Wang, Yiyang Yuan, Qing Huang, Jinshan Zeng
2022 J jnl
STAR: Zero-Shot Chinese Character Recognition with Stroke- and Radical-Level Decompositions.
CoRR
Jinshan Zeng, Ruiying Xu, Yu Wu, Hongwei Li, Jiaxing Lu
2022 J jnl
StrokeGAN+: Few-Shot Semi-Supervised Chinese Font Generation with Stroke Encoding.
CoRR
Jinshan Zeng, Yefei Wang, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao
2021 J jnl
Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size.
IEEE Trans. Knowl. Data Eng.
Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao
2021 J jnl
On ADMM in Deep Learning: Convergence and Saturation-Avoidance.
J. Mach. Learn. Res.
Jinshan Zeng, Shao-Bo Lin, Yuan Yao, Ding-Xuan Zhou
2021 J jnl
On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization.
CoRR
Jinshan Zeng, Yixuan Zha, Ke Ma, Yuan Yao
2021 J jnl
Poisoning Attack against Estimating from Pairwise Comparisons.
CoRR
Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, Qingming Huang
2021 J jnl
Random Sketching for Neural Networks With ReLU.
IEEE Trans. Neural Networks Learn. Syst.
Di Wang, Jinshan Zeng, Shao-Bo Lin
2021 A* conf
StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding.
AAAI
Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao
2020 A* conf
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths.
ICML
Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao
2020 J jnl
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths.
CoRR
Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao
2020 J jnl
Fully-Corrective Gradient Boosting with Squared Hinge: Fast Learning Rates and Early Stopping.
CoRR
Jinshan Zeng, Min Zhang, Shao-Bo Lin
2020 J jnl
StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding.
CoRR
Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao
2019 J jnl
A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning.
CoRR
Jinshan Zeng, Shaobo Lin, Yuan Yao
2019 J jnl
Constructive Neural Network Learning.
IEEE Trans. Cybern.
Shaobo Lin, Jinshan Zeng, Xiaoqin Zhang
2019 J jnl
Fast Learning With Polynomial Kernels.
IEEE Trans. Cybern.
Shaobo Lin, Jinshan Zeng
2019 J jnl
Fast Polynomial Kernel Classification for Massive Data.
CoRR
Jinshan Zeng, Minrun Wu, Shao-Bo Lin, Ding-Xuan Zhou
2019 J jnl
Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size.
CoRR
Ke Ma, Jinshan Zeng, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao
2019 J jnl
Global Convergence of ADMM in Nonconvex Nonsmooth Optimization.
J. Sci. Comput.
Yu Wang, Wotao Yin, Jinshan Zeng
2019 A* conf
Global Convergence of Block Coordinate Descent in Deep Learning.
ICML
Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao
2019 B conf
Image Smoothing Via Gradient Sparsity and Surface Area Minimization.
ICIP
Jun Liu, Ming Yan, Jinshan Zeng, Tieyong Zeng
2019 J jnl
On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming.
IEEE Trans. Signal Process.
Jinshan Zeng, Ke Ma, Yuan Yao
2019 J jnl
Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence.
CoRR
Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao
2018 — conf
A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training.
ICLR (Workshop)
Tim Tsz-Kit Lau, Jinshan Zeng, Baoyuan Wu, Yuan Yao
2018 J jnl
A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training.
CoRR
Tim Tsz-Kit Lau, Jinshan Zeng, Baoyuan Wu, Yuan Yao
2018 J jnl
Block Coordinate Descent for Deep Learning: Unified Convergence Guarantees.
CoRR
Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao
2018 J jnl
Corrigendum to "GAITA: A Gauss-Seidel iterative thresholding algorithm for l
J. Comput. Appl. Math.
Jinshan Zeng, Zhimin Peng, Shaobo Lin
2018 A conf
Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction.
AISTATS
Jinshan Zeng, Ke Ma, Yuan Yao
2018 J jnl
Greedy Criterion in Orthogonal Greedy Learning.
IEEE Trans. Cybern.
Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, Yi Fang, Zongben Xu
2018 J jnl
On Nonconvex Decentralized Gradient Descent.
IEEE Trans. Signal Process.
Jinshan Zeng, Wotao Yin
2018 A* conf
Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size.
AAAI
Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao
2017 J jnl
A fast proximal gradient algorithm for decentralized composite optimization over directed networks.
Syst. Control. Lett.
Jinshan Zeng, Tao He, Mingwen Wang
2017 J jnl
GAITA: A Gauss-Seidel iterative thresholding algorithm for ℓ
J. Comput. Appl. Math.
Jinshan Zeng, Zhimin Peng, Shaobo Lin
2017 J jnl
Learning Rates for Classification with Gaussian Kernels.
Neural Comput.
Shaobo Lin, Jinshan Zeng, Xiangyu Chang
2017 J jnl
Learning rates for classification with Gaussian kernels.
CoRR
Shaobo Lin, Jinshan Zeng, Xiangyu Chang
2017 J jnl
Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size.
CoRR
Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao
2016 J jnl
A Proximal Gradient Algorithm for Decentralized Composite Optimization over Directed Networks.
CoRR
Jinshan Zeng, Tao He, Mingwen Wang
2016 J jnl
Constructive neural network learning.
CoRR
Shaobo Lin, Jinshan Zeng, Xiaoqin Zhang
2016 J jnl
Greedy Criterion in Orthogonal Greedy Learning.
CoRR
Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, Zongben Xu
2016 J jnl
On Nonconvex Decentralized Gradient Descent.
CoRR
Jinshan Zeng, Wotao Yin
2016 J jnl
Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm.
IEEE Trans. Signal Process.
Jinshan Zeng, Shaobo Lin, Zongben Xu
2015 J jnl
A Gauss-Seidel Iterative Thresholding Algorithm for lq Regularized Least Squares Regression.
CoRR
Jinshan Zeng, Zhimin Peng, Shaobo Lin
2015 J jnl
Error Estimate for Spherical Neural Networks Interpolation.
Neural Process. Lett.
Shaobo Lin, Jinshan Zeng, Zongben Xu
2015 J jnl
ExtraPush for Convex Smooth Decentralized Optimization over Directed Networks.
CoRR
Jinshan Zeng, Wotao Yin
2015 J jnl
Global Convergence of ADMM in Nonconvex Nonsmooth Optimization.
CoRR
Yu Wang, Wotao Yin, Jinshan Zeng
2015 J jnl
Indoor Fingerprinting Localization and Tracking System Using Particle Swarm Optimization and Kalman Filter.
IEICE Trans. Commun.
Genming Ding, Zhenhui Tan, Jinsong Wu, Jinshan Zeng, Lingwen Zhang
2015 J jnl
Jackson-type inequalities for spherical neural networks with doubling weights.
Neural Networks
Shaobo Lin, Jinshan Zeng, Lin Xu, Zongben Xu
2015 J jnl
Linear Convergence of Adaptively Iterative Thresholding Algorithms for Compressed Sensing.
IEEE Trans. Signal Process.
Yu Wang, Jinshan Zeng, Zhimin Peng, Xiangyu Chang, Zongben Xu
2014 J jnl
Greedy metrics in orthogonal greedy learning.
CoRR
Lin Xu, Shaobo Lin, Jinshan Zeng, Zongben Xu
2014 J jnl
L
IEEE Trans. Signal Process.
Jinshan Zeng, Shaobo Lin, Yao Wang, Zongben Xu
2014 J jnl
Learning Rates of
Neural Comput.
Shaobo Lin, Jinshan Zeng, Jian Fang, Zongben Xu
2014 J jnl
Sparse solution of underdetermined linear equations via adaptively iterative thresholding.
Signal Process.
Jinshan Zeng, Shaobo Lin, Zongben Xu
2013 J jnl
Accelerated
Signal Process.
Jinshan Zeng, Zongben Xu, Bingchen Zhang, Wen Hong, Yirong Wu
2013 J jnl
L
CoRR
Jinshan Zeng, Shaobo Lin, Yao Wang, Zongben Xu
2013 J jnl
Learning rates of l
CoRR
Shaobo Lin, Jinshan Zeng, Jian Fang, Zongben Xu
2013 J jnl
Sparse Solution of Underdetermined Linear Equations via Adaptively Iterative Thresholding.
CoRR
Jinshan Zeng, Shaobo Lin, Zongben Xu
2012 J jnl
Efficient DPCA SAR imaging with fast iterative spectrum reconstruction method.
Sci. China Inf. Sci.
Jian Fang, Jinshan Zeng, Zongben Xu, Yao Zhao
2012 J jnl
Sparse SAR imaging based on L 1/2 regularization.
Sci. China Inf. Sci.
Jinshan Zeng, Jian Fang, Zongben Xu
2011 C conf
SAR imaging from compressed measurements based on L1/2 regularization.
IGARSS
Jinshan Zeng, Zongben Xu, Hai Jiang, Bingchen Zhang, Wen Hong, Yirong Wu