Jinshan Zeng

Orcid: 0000-0003-1719-3358

According to our database1, Jinshan Zeng authored at least 68 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A guidable nonlocal low-rank approximation model for hyperspectral image denoising.
Signal Process., February, 2024

Hyperspectral Compressive Snapshot Reconstruction via Coupled Low-Rank Subspace Representation and Self-Supervised Deep Network.
IEEE Trans. Image Process., 2024

Thick Cloud Removal in Multitemporal Remote Sensing Images via Low-Rank Regularized Self-Supervised Network.
IEEE Trans. Geosci. Remote. Sens., 2024

InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
F3KM: Federated, Fair, and Fast k-means.
Proc. ACM Manag. Data, December, 2023

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., April, 2023

Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Personalized Federated Learning via ADMM with Moreau Envelope.
CoRR, 2023

Zero-Shot Chinese Character Recognition with Stroke- and Radical-Level Decompositions.
Proceedings of the International Joint Conference on Neural Networks, 2023

Enhancing Chinese Calligraphy Generation with Contour and Region-aware Attention.
Proceedings of the International Joint Conference on Neural Networks, 2023

PromptARA: Improving Deep Representation in Hybrid Automatic Readability Assessment with Prompt and Orthogonal Projection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Hyperspectral and Multispectral Image Fusion Using Factor Smoothed Tensor Ring Decomposition.
IEEE Trans. Geosci. Remote. Sens., 2022

Exploring Nonlocal Group Sparsity Under Transform Learning for Hyperspectral Image Denoising.
IEEE Trans. Geosci. Remote. Sens., 2022

Hyperspectral Image Denoising Using Factor Group Sparsity-Regularized Nonconvex Low-Rank Approximation.
IEEE Trans. Geosci. Remote. Sens., 2022

Poisoning Attack Against Estimating From Pairwise Comparisons.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Fully corrective gradient boosting with squared hinge: Fast learning rates and early stopping.
Neural Networks, 2022

Moreau Envelope Augmented Lagrangian Method for Nonconvex Optimization with Linear Constraints.
J. Sci. Comput., 2022

SGCE-Font: Skeleton Guided Channel Expansion for Chinese Font Generation.
CoRR, 2022

StrokeGAN+: Few-Shot Semi-Supervised Chinese Font Generation with Stroke Encoding.
CoRR, 2022

STAR: Zero-Shot Chinese Character Recognition with Stroke- and Radical-Level Decompositions.
CoRR, 2022

Reducing Capacity Gap in Knowledge Distillation with Review Mechanism for Crowd Counting.
CoRR, 2022

CodeGen-Test: An Automatic Code Generation Model Integrating Program Test Information.
CoRR, 2022

Image Processing and Control of Tracking Intelligent Vehicle Based on Grayscale Camera.
Proceedings of the 5th IEEE International Conference on Image Processing Applications and Systems, 2022

Enhancing Automatic Readability Assessment with Pre-training and Soft Labels for Ordinal Regression.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Random Sketching for Neural Networks With ReLU.
IEEE Trans. Neural Networks Learn. Syst., 2021

Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size.
IEEE Trans. Knowl. Data Eng., 2021

On ADMM in Deep Learning: Convergence and Saturation-Avoidance.
J. Mach. Learn. Res., 2021

On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization.
CoRR, 2021

StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming.
IEEE Trans. Signal Process., 2019

Constructive Neural Network Learning.
IEEE Trans. Cybern., 2019

Fast Learning With Polynomial Kernels.
IEEE Trans. Cybern., 2019

Global Convergence of ADMM in Nonconvex Nonsmooth Optimization.
J. Sci. Comput., 2019

Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size.
CoRR, 2019

Fast Polynomial Kernel Classification for Massive Data.
CoRR, 2019

Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence.
CoRR, 2019

A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning.
CoRR, 2019

Global Convergence of Block Coordinate Descent in Deep Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

Image Smoothing Via Gradient Sparsity and Surface Area Minimization.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
On Nonconvex Decentralized Gradient Descent.
IEEE Trans. Signal Process., 2018

Greedy Criterion in Orthogonal Greedy Learning.
IEEE Trans. Cybern., 2018

Corrigendum to "GAITA: A Gauss-Seidel iterative thresholding algorithm for l<sub>q</sub> regularized least squares regression" [J. Comput. Appl. Math. 319 (2017) 220-235].
J. Comput. Appl. Math., 2018

Block Coordinate Descent for Deep Learning: Unified Convergence Guarantees.
CoRR, 2018

A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training.
Proceedings of the 6th International Conference on Learning Representations, 2018

Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A fast proximal gradient algorithm for decentralized composite optimization over directed networks.
Syst. Control. Lett., 2017

Learning Rates for Classification with Gaussian Kernels.
Neural Comput., 2017

GAITA: A Gauss-Seidel iterative thresholding algorithm for ℓ<sub>q</sub> regularized least squares regression.
J. Comput. Appl. Math., 2017

2016
Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm.
IEEE Trans. Signal Process., 2016

A Proximal Gradient Algorithm for Decentralized Composite Optimization over Directed Networks.
CoRR, 2016

Greedy Criterion in Orthogonal Greedy Learning.
CoRR, 2016

2015
Linear Convergence of Adaptively Iterative Thresholding Algorithms for Compressed Sensing.
IEEE Trans. Signal Process., 2015

Error Estimate for Spherical Neural Networks Interpolation.
Neural Process. Lett., 2015

Jackson-type inequalities for spherical neural networks with doubling weights.
Neural Networks, 2015

Indoor Fingerprinting Localization and Tracking System Using Particle Swarm Optimization and Kalman Filter.
IEICE Trans. Commun., 2015

ExtraPush for Convex Smooth Decentralized Optimization over Directed Networks.
CoRR, 2015

A Gauss-Seidel Iterative Thresholding Algorithm for lq Regularized Least Squares Regression.
CoRR, 2015

2014
L<sub>1/2</sub> Regularization: Convergence of Iterative Half Thresholding Algorithm.
IEEE Trans. Signal Process., 2014

Sparse solution of underdetermined linear equations via adaptively iterative thresholding.
Signal Process., 2014

Learning Rates of <i>l<sup>q</sup></i> Coefficient Regularization Learning with Gaussian Kernel.
Neural Comput., 2014

Greedy metrics in orthogonal greedy learning.
CoRR, 2014

2013
Accelerated <i>L</i><sub>1/2</sub> regularization based SAR imaging via BCR and reduced Newton skills.
Signal Process., 2013

Learning rates of l<sup>q</sup> coefficient regularization learning with Gaussian kernel.
CoRR, 2013

2012
Sparse SAR imaging based on L 1/2 regularization.
Sci. China Inf. Sci., 2012

Efficient DPCA SAR imaging with fast iterative spectrum reconstruction method.
Sci. China Inf. Sci., 2012

2011
SAR imaging from compressed measurements based on L1/2 regularization.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011


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