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2020 – today
- 2025
[j41]Yefei Wang, Kangyue Xiong, Yiyang Yuan, Jinshan Zeng:
EdgeFont: Enhancing style and content representations in few-shot font generation with multi-scale edge self-supervision. Expert Syst. Appl. 262: 125547 (2025)- 2024
- [j40]Yang Zhou
, Yong Chen, Jinshan Zeng, Wei He, Min Huang:
Unidirectional Spatial and Spectral Smoothed Tensor Ring Decomposition for Hyperspectral Image Denoising and Destriping. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j39]Ke Ma, Qianqian Xu, Jinshan Zeng, Wei Liu, Xiaochun Cao, Yingfei Sun, Qingming Huang:
Sequential Manipulation Against Rank Aggregation: Theory and Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9353-9370 (2024) - [j38]Yong Chen, Juan Zhang, Jinshan Zeng, Wenzhen Lai, Xinfeng Gui, Tai-Xiang Jiang:
A guidable nonlocal low-rank approximation model for hyperspectral image denoising. Signal Process. 215: 109266 (2024) - [j37]Yong Chen, Maolin Chen, Wei He, Jinshan Zeng, Min Huang, Yu-Bang Zheng:
Thick Cloud Removal in Multitemporal Remote Sensing Images via Low-Rank Regularized Self-Supervised Network. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j36]Yong Chen, Jinshan Zeng, Wei He, Xi-Le Zhao, Tai-Xiang Jiang, Qing Huang:
Fast Large-Scale Hyperspectral Image Denoising via Noniterative Low-Rank Subspace Representation. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j35]Yong Chen, Wenzhen Lai, Wei He, Xi-Le Zhao, Jinshan Zeng:
Hyperspectral Compressive Snapshot Reconstruction via Coupled Low-Rank Subspace Representation and Self-Supervised Deep Network. IEEE Trans. Image Process. 33: 926-941 (2024) - [j34]Yong Chen, Xinfeng Gui, Jinshan Zeng, Xi-Le Zhao, Wei He:
Combining Low-Rank and Deep Plug-and-Play Priors for Snapshot Compressive Imaging. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16396-16408 (2024) - [c18]Jinshan Zeng, Xianchao Tong, Xianglong Yu, Wenyan Xiao, Qing Huang:
InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning. AAAI 2024: 19497-19505 - [c17]Yan Zhang, Yefei Wang, Jialu Xiong, Jie Zhou, Jinshan Zeng:
SCI-Font: Enhancing Content-Style Representation for Chinese Calligraphy Generation with Skeleton, Contour and Inexact Paired Data. ICANN (3) 2024: 377-391 - [c16]Jialu Xiong, Yefei Wang, Jinshan Zeng:
CLIP-Font: Sementic Self-Supervised Few-Shot Font Generation with Clip. ICASSP 2024: 3620-3624 - [c15]Qi Huang, Pingting Cai, Tanyue Nie, Jinshan Zeng:
CLIP-MSA: Incorporating Inter-Modal Dynamics and Common Knowledge to Multimodal Sentiment Analysis With Clip. ICASSP 2024: 8145-8149 - [c14]Yefei Wang, Sunzhe Yang, Kangyue Xiong, Jinshan Zeng:
SCA-Font: Enhancing Few-Shot Generation with Style-Content Aggregation. IJCNN 2024: 1-8 - [i33]Shengkun Zhu, Jinshan Zeng, Yuan Sun, Sheng Wang, Xiaodong Li, Zhiyong Peng:
Efficient k-means with Individual Fairness via Exponential Tilting. CoRR abs/2406.16557 (2024) - [i32]Ke Ma, Qianqian Xu, Jinshan Zeng, Wei Liu, Xiaochun Cao, Yingfei Sun, Qingming Huang:
Sequential Manipulation Against Rank Aggregation: Theory and Algorithm. CoRR abs/2407.01916 (2024) - [i31]Shengkun Zhu, Jinshan Zeng, Sheng Wang, Yuan Sun, Xiaodong Li, Yuan Yao, Zhiyong Peng:
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness. CoRR abs/2407.16397 (2024) - 2023
- [j33]Shengkun Zhu, Quanqing Xu, Jinshan Zeng, Sheng Wang, Yuan Sun, Zhifeng Yang, Chuanhui Yang, Zhiyong Peng:
F3KM: Federated, Fair, and Fast k-means. Proc. ACM Manag. Data 1(4): 241:1-241:25 (2023) - [j32]Yanwei Fu, Chen Liu, Donghao Li, Zuyuan Zhong, Xinwei Sun, Jinshan Zeng, Yuan Yao:
Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1749-1765 (2023) - [j31]Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao, Qingming Huang:
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. 45(4): 4090-4108 (2023) - [c13]Jinshan Zeng, Xianglong Yu, Xianchao Tong, Wenyan Xiao:
PromptARA: Improving Deep Representation in Hybrid Automatic Readability Assessment with Prompt and Orthogonal Projection. EMNLP (Findings) 2023: 15360-15371 - [c12]Jinshan Zeng, Ling Tu, Jie Zhou, Yefei Wang, Jiguo Zeng:
Enhancing Chinese Calligraphy Generation with Contour and Region-aware Attention. IJCNN 2023: 1-9 - [c11]Jinshan Zeng, Ruiying Xu, Yu Wu, Hongwei Li, Jiaxing Lu:
Zero-Shot Chinese Character Recognition with Stroke- and Radical-Level Decompositions. IJCNN 2023: 1-9 - 2022
- [j30]Jinshan Zeng, Wotao Yin, Ding-Xuan Zhou:
Moreau Envelope Augmented Lagrangian Method for Nonconvex Optimization with Linear Constraints. J. Sci. Comput. 91(2): 61 (2022) - [j29]Jinshan Zeng, Min Zhang, Shao-Bo Lin:
Fully corrective gradient boosting with squared hinge: Fast learning rates and early stopping. Neural Networks 147: 136-151 (2022) - [j28]Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, Qingming Huang:
Poisoning Attack Against Estimating From Pairwise Comparisons. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6393-6408 (2022) - [j27]Yong Chen, Ting-Zhu Huang, Wei He, Xi-Le Zhao, Hongyan Zhang, Jinshan Zeng:
Hyperspectral Image Denoising Using Factor Group Sparsity-Regularized Nonconvex Low-Rank Approximation. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j26]Yong Chen, Wei He, Xi-Le Zhao, Ting-Zhu Huang, Jinshan Zeng, Hui Lin:
Exploring Nonlocal Group Sparsity Under Transform Learning for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j25]Yong Chen, Jinshan Zeng, Wei He, Xi-Le Zhao, Ting-Zhu Huang:
Hyperspectral and Multispectral Image Fusion Using Factor Smoothed Tensor Ring Decomposition. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [c10]Jinshan Zeng, Yudong Xie, Xianglong Yu, John Lee, Ding-Xuan Zhou:
Enhancing Automatic Readability Assessment with Pre-training and Soft Labels for Ordinal Regression. EMNLP (Findings) 2022: 4557-4568 - [c9]Jian Zhang, Yufan Liu, Ao Li, Jinshan Zeng, Hongtu Xie:
Image Processing and Control of Tracking Intelligent Vehicle Based on Grayscale Camera. IPAS 2022: 1-6 - [i30]Maosheng Zhong, Gen Liu, Hongwei Li, Jiangling Kuang, Jinshan Zeng, Mingwen Wang:
CodeGen-Test: An Automatic Code Generation Model Integrating Program Test Information. CoRR abs/2202.07612 (2022) - [i29]Yunxin Liu, Qiaosi Yi, Jinshan Zeng:
Reducing Capacity Gap in Knowledge Distillation with Review Mechanism for Crowd Counting. CoRR abs/2206.05475 (2022) - [i28]Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao, Qingming Huang:
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game. CoRR abs/2209.05742 (2022) - [i27]Jinshan Zeng, Ruiying Xu, Yu Wu, Hongwei Li, Jiaxing Lu:
STAR: Zero-Shot Chinese Character Recognition with Stroke- and Radical-Level Decompositions. CoRR abs/2210.08490 (2022) - [i26]Jinshan Zeng, Yefei Wang, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao:
StrokeGAN+: Few-Shot Semi-Supervised Chinese Font Generation with Stroke Encoding. CoRR abs/2211.06198 (2022) - [i25]Jie Zhou, Yefei Wang, Yiyang Yuan, Qing Huang, Jinshan Zeng:
SGCE-Font: Skeleton Guided Channel Expansion for Chinese Font Generation. CoRR abs/2211.14475 (2022) - 2021
- [j24]Jinshan Zeng, Shao-Bo Lin, Yuan Yao, Ding-Xuan Zhou:
On ADMM in Deep Learning: Convergence and Saturation-Avoidance. J. Mach. Learn. Res. 22: 199:1-199:67 (2021) - [j23]Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao:
Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size. IEEE Trans. Knowl. Data Eng. 33(6): 2467-2478 (2021) - [j22]Di Wang, Jinshan Zeng, Shao-Bo Lin:
Random Sketching for Neural Networks With ReLU. IEEE Trans. Neural Networks Learn. Syst. 32(2): 748-762 (2021) - [c8]Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao:
StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding. AAAI 2021: 3270-3277 - [i24]Jinshan Zeng, Yixuan Zha, Ke Ma, Yuan Yao:
On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization. CoRR abs/2101.00236 (2021) - [i23]Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, Qingming Huang:
Poisoning Attack against Estimating from Pairwise Comparisons. CoRR abs/2107.01854 (2021) - 2020
- [c7]Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao:
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths. ICML 2020: 3315-3326 - [i22]Jinshan Zeng, Min Zhang, Shao-Bo Lin:
Fully-Corrective Gradient Boosting with Squared Hinge: Fast Learning Rates and Early Stopping. CoRR abs/2004.00179 (2020) - [i21]Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao:
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths. CoRR abs/2007.02010 (2020) - [i20]Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao:
StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding. CoRR abs/2012.08687 (2020)
2010 – 2019
- 2019
- [j21]Yu Wang, Wotao Yin, Jinshan Zeng:
Global Convergence of ADMM in Nonconvex Nonsmooth Optimization. J. Sci. Comput. 78(1): 29-63 (2019) - [j20]Shaobo Lin, Jinshan Zeng, Xiaoqin Zhang:
Constructive Neural Network Learning. IEEE Trans. Cybern. 49(1): 221-232 (2019) - [j19]Shaobo Lin, Jinshan Zeng:
Fast Learning With Polynomial Kernels. IEEE Trans. Cybern. 49(10): 3780-3792 (2019) - [j18]Jinshan Zeng, Ke Ma, Yuan Yao:
On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming. IEEE Trans. Signal Process. 67(16): 4261-4275 (2019) - [c6]Jun Liu, Ming Yan, Jinshan Zeng, Tieyong Zeng:
Image Smoothing Via Gradient Sparsity and Surface Area Minimization. ICIP 2019: 1114-1118 - [c5]Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao:
Global Convergence of Block Coordinate Descent in Deep Learning. ICML 2019: 7313-7323 - [i19]Jinshan Zeng, Shaobo Lin, Yuan Yao:
A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning. CoRR abs/1902.02060 (2019) - [i18]Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao:
Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence. CoRR abs/1905.09449 (2019) - [i17]Jinshan Zeng, Minrun Wu, Shao-Bo Lin, Ding-Xuan Zhou:
Fast Polynomial Kernel Classification for Massive Data. CoRR abs/1911.10558 (2019) - [i16]Ke Ma, Jinshan Zeng, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao:
Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size. CoRR abs/1912.00362 (2019) - 2018
- [j17]Jinshan Zeng, Zhimin Peng, Shaobo Lin:
Corrigendum to "GAITA: A Gauss-Seidel iterative thresholding algorithm for lq regularized least squares regression" [J. Comput. Appl. Math. 319 (2017) 220-235]. J. Comput. Appl. Math. 333: 458 (2018) - [j16]Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, Yi Fang, Zongben Xu:
Greedy Criterion in Orthogonal Greedy Learning. IEEE Trans. Cybern. 48(3): 955-966 (2018) - [j15]Jinshan Zeng, Wotao Yin:
On Nonconvex Decentralized Gradient Descent. IEEE Trans. Signal Process. 66(11): 2834-2848 (2018) - [c4]Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao:
Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size. AAAI 2018: 3738-3745 - [c3]Jinshan Zeng, Ke Ma, Yuan Yao:
Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction. AISTATS 2018: 199-207 - [c2]Tim Tsz-Kit Lau, Jinshan Zeng, Baoyuan Wu, Yuan Yao:
A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training. ICLR (Workshop) 2018 - [i15]Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao:
Block Coordinate Descent for Deep Learning: Unified Convergence Guarantees. CoRR abs/1803.00225 (2018) - [i14]Tim Tsz-Kit Lau, Jinshan Zeng, Baoyuan Wu, Yuan Yao:
A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training. CoRR abs/1803.09082 (2018) - 2017
- [j14]Jinshan Zeng, Zhimin Peng, Shaobo Lin:
GAITA: A Gauss-Seidel iterative thresholding algorithm for ℓq regularized least squares regression. J. Comput. Appl. Math. 319: 220-235 (2017) - [j13]Shaobo Lin, Jinshan Zeng, Xiangyu Chang:
Learning Rates for Classification with Gaussian Kernels. Neural Comput. 29(12) (2017) - [j12]Jinshan Zeng, Tao He, Mingwen Wang:
A fast proximal gradient algorithm for decentralized composite optimization over directed networks. Syst. Control. Lett. 107: 36-43 (2017) - [i13]Shaobo Lin, Jinshan Zeng, Xiangyu Chang:
Learning rates for classification with Gaussian kernels. CoRR abs/1702.08701 (2017) - [i12]Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao:
Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size. CoRR abs/1711.06446 (2017) - 2016
- [j11]Jinshan Zeng, Shaobo Lin, Zongben Xu:
Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm. IEEE Trans. Signal Process. 64(19): 5106-5118 (2016) - [i11]Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, Zongben Xu:
Greedy Criterion in Orthogonal Greedy Learning. CoRR abs/1604.05993 (2016) - [i10]Shaobo Lin, Jinshan Zeng, Xiaoqin Zhang:
Constructive neural network learning. CoRR abs/1605.00079 (2016) - [i9]Jinshan Zeng, Wotao Yin:
On Nonconvex Decentralized Gradient Descent. CoRR abs/1608.05766 (2016) - [i8]Jinshan Zeng, Tao He, Mingwen Wang:
A Proximal Gradient Algorithm for Decentralized Composite Optimization over Directed Networks. CoRR abs/1609.03784 (2016) - 2015
- [j10]Genming Ding, Zhenhui Tan, Jinsong Wu, Jinshan Zeng, Lingwen Zhang:
Indoor Fingerprinting Localization and Tracking System Using Particle Swarm Optimization and Kalman Filter. IEICE Trans. Commun. 98-B(3): 502-514 (2015) - [j9]Shaobo Lin, Jinshan Zeng, Lin Xu, Zongben Xu:
Jackson-type inequalities for spherical neural networks with doubling weights. Neural Networks 63: 57-65 (2015) - [j8]Shaobo Lin, Jinshan Zeng, Zongben Xu:
Error Estimate for Spherical Neural Networks Interpolation. Neural Process. Lett. 42(2): 369-379 (2015) - [j7]Yu Wang, Jinshan Zeng, Zhimin Peng, Xiangyu Chang, Zongben Xu:
Linear Convergence of Adaptively Iterative Thresholding Algorithms for Compressed Sensing. IEEE Trans. Signal Process. 63(11): 2957-2971 (2015) - [i7]Jinshan Zeng, Zhimin Peng, Shaobo Lin:
A Gauss-Seidel Iterative Thresholding Algorithm for lq Regularized Least Squares Regression. CoRR abs/1507.03173 (2015) - [i6]Jinshan Zeng, Wotao Yin:
ExtraPush for Convex Smooth Decentralized Optimization over Directed Networks. CoRR abs/1511.02942 (2015) - [i5]Yu Wang, Wotao Yin, Jinshan Zeng:
Global Convergence of ADMM in Nonconvex Nonsmooth Optimization. CoRR abs/1511.06324 (2015) - 2014
- [j6]Shaobo Lin, Jinshan Zeng, Jian Fang, Zongben Xu:
Learning Rates of lq Coefficient Regularization Learning with Gaussian Kernel. Neural Comput. 26(10): 2350-2378 (2014) - [j5]Jinshan Zeng, Shaobo Lin, Zongben Xu:
Sparse solution of underdetermined linear equations via adaptively iterative thresholding. Signal Process. 97: 152-161 (2014) - [j4]Jinshan Zeng, Shaobo Lin, Yao Wang, Zongben Xu:
L1/2 Regularization: Convergence of Iterative Half Thresholding Algorithm. IEEE Trans. Signal Process. 62(9): 2317-2329 (2014) - [i4]Lin Xu, Shaobo Lin, Jinshan Zeng, Zongben Xu:
Greedy metrics in orthogonal greedy learning. CoRR abs/1411.3553 (2014) - 2013
- [j3]Jinshan Zeng, Zongben Xu, Bingchen Zhang, Wen Hong, Yirong Wu:
Accelerated L1/2 regularization based SAR imaging via BCR and reduced Newton skills. Signal Process. 93(7): 1831-1844 (2013) - [i3]Jinshan Zeng, Shaobo Lin, Zongben Xu:
Sparse Solution of Underdetermined Linear Equations via Adaptively Iterative Thresholding. CoRR abs/1310.3954 (2013) - [i2]Jinshan Zeng, Shaobo Lin, Yao Wang, Zongben Xu:
L1/2 Regularization: Convergence of Iterative Half Thresholding Algorithm. CoRR abs/1311.0156 (2013) - [i1]Shaobo Lin, Jinshan Zeng, Jian Fang, Zongben Xu:
Learning rates of lq coefficient regularization learning with Gaussian kernel. CoRR abs/1312.5465 (2013) - 2012
- [j2]Jinshan Zeng, Jian Fang, Zongben Xu:
Sparse SAR imaging based on L 1/2 regularization. Sci. China Inf. Sci. 55(8): 1755-1775 (2012) - [j1]Jian Fang, Jinshan Zeng, Zongben Xu, Yao Zhao:
Efficient DPCA SAR imaging with fast iterative spectrum reconstruction method. Sci. China Inf. Sci. 55(8): 1838-1851 (2012) - 2011
- [c1]Jinshan Zeng, Zongben Xu, Hai Jiang, Bingchen Zhang, Wen Hong, Yirong Wu:
SAR imaging from compressed measurements based on L1/2 regularization. IGARSS 2011: 625-628
Coauthor Index
Shaobo Lin
aka: Shao-Bo Lin
aka: Shao-Bo Lin
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