Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding

Jan 11, 2021
Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao

* AAAI 2021 
* 10 pages, our codes and data are available at: https://github.com/JinshanZeng/StrokeGAN 

  Access Paper or Ask Questions

On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization

Jan 01, 2021
Jinshan Zeng, Yixuan Zha, Ke Ma, Yuan Yao

* 27 pages, 5 figures 

  Access Paper or Ask Questions

DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths

Jul 04, 2020
Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao

* ICML 2020 
* conference , 23 pages https://github.com/corwinliu9669/dS2LBI 

  Access Paper or Ask Questions

Fully-Corrective Gradient Boosting with Squared Hinge: Fast Learning Rates and Early Stopping

Apr 01, 2020
Jinshan Zeng, Min Zhang, Shao-Bo Lin

* 14 pages 

  Access Paper or Ask Questions

Fast Polynomial Kernel Classification for Massive Data

Dec 06, 2019
Jinshan Zeng, Minrun Wu, Shao-Bo Lin, Ding-Xuan Zhou

* arXiv admin note: text overlap with arXiv:1402.4735 by other authors 

  Access Paper or Ask Questions

Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size

Dec 01, 2019
Ke Ma, Jinshan Zeng, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao

* 19 pages, 5 figures, accepted by IEEE Transaction on Knowledge and Data Engineering, Conference Version: arXiv:1711.06446 

  Access Paper or Ask Questions

Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence

May 23, 2019
Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao

* 25 pages, 7 figures 

  Access Paper or Ask Questions

A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning

Feb 06, 2019
Jinshan Zeng, Shao-Bo Lin, Yuan Yao


  Access Paper or Ask Questions

ExtraPush for convex smooth decentralized optimization over directed networks

Jan 30, 2019
Jinshan Zeng, Wotao Yin

* Journal of Computational Mathematics, 2017 
* 16 pages, 3 figures 

  Access Paper or Ask Questions

Global Convergence in Deep Learning with Variable Splitting via the Kurdyka-Ɓojasiewicz Property

Jun 11, 2018
Jinshan Zeng, Shikang Ouyang, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao

* 24 pages, 12 figures 

  Access Paper or Ask Questions

A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training

Mar 24, 2018
Tim Tsz-Kit Lau, Jinshan Zeng, Baoyuan Wu, Yuan Yao

* The 6th International Conference on Learning Representations (ICLR 2018), Workshop Track 

  Access Paper or Ask Questions

Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size

Jan 31, 2018
Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao

* 11 pages, 3 figures, 2 tables, accepted by AAAI2018 

  Access Paper or Ask Questions

Learning rates for classification with Gaussian kernels

Oct 05, 2017
Shao-Bo Lin, Jinshan Zeng, Xiangyu Chang

* This paper has been accepted by Neural Computation 

  Access Paper or Ask Questions

Constructive neural network learning

Apr 30, 2016
Shaobo Lin, Jinshan Zeng, Xiaoqin Zhang

* 13 pages, 12 figures 

  Access Paper or Ask Questions

Greedy Criterion in Orthogonal Greedy Learning

Apr 20, 2016
Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, Zongben Xu

* 12 pages, 6 figures. arXiv admin note: text overlap with arXiv:1411.3553 

  Access Paper or Ask Questions

Model selection of polynomial kernel regression

Mar 07, 2015
Shaobo Lin, Xingping Sun, Zongben Xu, Jinshan Zeng

* 29 pages, 4 figures 

  Access Paper or Ask Questions

Greedy metrics in orthogonal greedy learning

Nov 13, 2014
Lin Xu, Shaobo Lin, Jinshan Zeng, Zongben Xu

* 33 pages, 8 figures 

  Access Paper or Ask Questions

Learning rates of $l^q$ coefficient regularization learning with Gaussian kernel

Sep 25, 2014
Shaobo Lin, Jinshan Zeng, Jian Fang, Zongben Xu

* 26 pages, 3 figures 

  Access Paper or Ask Questions