Shuisheng Zhou

According to our database, Shuisheng Zhou authored at least 50 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling.

Dong Li, Shuisheng Zhou, Witold Pedrycz

IEEE Trans. Knowl. Data Eng., December, 2023

Fast newton method to solve KLR based on multilevel circulant matrix with log-linear complexity.

Junna Zhang, Shuisheng Zhou, Cui Fu, Feng Ye

Appl. Intell., September, 2023

Adaptive proximal SGD based on new estimating sequences for sparser ERM.

Zhuan Zhang, Shuisheng Zhou

Inf. Sci., August, 2023

Quality-related Fault Detection Based on Approximate Kernel Partial Least Squares Method.

Xiling Liu, Shuisheng Zhou

J. Grid Comput., June, 2023

Kernel Partial Least Squares Feature Selection Based on Maximum Weight Minimum Redundancy.

Xiling Liu, Shuisheng Zhou

Entropy, February, 2023

Relative Density-Based Intuitionistic Fuzzy SVM for Class Imbalance Learning.

Cui Fu, Shuisheng Zhou, Dan Zhang, Li Chen

Entropy, January, 2023

A risk-averse learning machine via variance-dependent penalization.

Cui Fu, Shuisheng Zhou, Yuxue Chen, Li Chen, Banghe Han

Pattern Recognit. Lett., 2023

Unified SVM algorithm based on LS-DC loss.

Shuisheng Zhou, Wendi Zhou

Mach. Learn., 2023

Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm.

Dong Li, Shuisheng Zhou, Tieyong Zeng, Raymond H. Chan

CoRR, 2023

Iteratively Reweighted Hypergraph Subspace Clustering.

Ting Yang, Shuisheng Zhou

Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence, 2023

2022

The k-sparse LSR for subspace clustering via 0-1 integer programming.

Ting Yang, Shuisheng Zhou, Zhuan Zhang

Signal Process., 2022

Improved fuzzy c-means clustering by varying the fuzziness parameter.

Yuxue Chen, Shuisheng Zhou, Ximin Zhang, Dong Li, Cui Fu

Pattern Recognit. Lett., 2022

Risk-Averse support vector classifier machine via moments penalization.

Cui Fu, Shuisheng Zhou, Junna Zhang, Banghe Han, Yuxue Chen, Feng Ye

Int. J. Mach. Learn. Cybern., 2022

Riemannian proximal stochastic gradient descent for sparse 2DPCA.

Zhuan Zhang, Shuisheng Zhou, Dong Li, Ting Yang

Digit. Signal Process., 2022

Faster doubly stochastic functional gradient by gradient preconditioning for scalable kernel methods.

Zhuan Zhang, Shuisheng Zhou, Ting Yang, Junna Zhang

Appl. Intell., 2022

Discriminative least squares regression for multiclass classification based on within-class scatter minimization.

Jiajun Ma, Shuisheng Zhou

Appl. Intell., 2022

2021

A New Membership Scaling Fuzzy C-Means Clustering Algorithm.

Shuisheng Zhou, Dong Li, Zhuan Zhang, Rui Ping

IEEE Trans. Fuzzy Syst., 2021

Metric learning-guided k nearest neighbor multilabel classifier.

Jiajun Ma, Shuisheng Zhou

Neural Comput. Appl., 2021

Robust multiclass least squares support vector classifier with optimal error distribution.

Jiajun Ma, Shuisheng Zhou, Dong Li

Knowl. Based Syst., 2021

Using Multilevel Circulant Matrix Approximate to Speed Up Kernel Logistic Regression.

Junna Zhang, Shuisheng Zhou, Cui Fu, Zhuan Zhang

CoRR, 2021

Fast kernel k-means clustering using incomplete Cholesky factorization.

Li Chen, Shuisheng Zhou, Jiajun Ma, Mingliang Xu

Appl. Math. Comput., 2021

Fast Mixing of Hard Negative Samples for Contrastive Learning and Use for COVID-19.

Xi Zhao, Shuisheng Zhou

Proceedings of the ICBDT 2021: 4th International Conference on Big Data Technologies, Zibo, China, September 24, 2021

2020

Stable sparse subspace embedding for dimensionality reduction.

Li Chen, Shuisheng Zhou, Jiajun Ma

Knowl. Based Syst., 2020

Gradient preconditioned mini-batch SGD for ridge regression.

Zhuan Zhang, Shuisheng Zhou, Dong Li, Ting Yang

Neurocomputing, 2020

Fast Kernel k-means Clustering Using Incomplete Cholesky Factorization.

Li Chen, Shuisheng Zhou, Jiajun Ma

CoRR, 2020

Approximate kernel partial least squares.

Xiling Liu, Shuisheng Zhou

Ann. Math. Artif. Intell., 2020

Classification-Friendly Sparse Encoder and Classifier Learning.

Chunyu Yang, Weiwei Wang, Xiangchu Feng, Shuisheng Zhou

IEEE Access, 2020

2019

Bilateral Angle 2DPCA for Face Recognition.

Shuisheng Zhou, Danqing Zhang

IEEE Signal Process. Lett., 2019

A sparse robust model for large scale multi-class classification based on K-SVCR.

Jiajun Ma, Shuisheng Zhou, Li Chen, Weiwei Wang, Zhuan Zhang

Pattern Recognit. Lett., 2019

2018

SVRG for a non-convex problem using graduated optimization algorithm.

Li Chen, Shuisheng Zhou, Zhuan Zhang

J. Intell. Fuzzy Syst., 2018

Sparse algorithm for robust LSSVM in primal space.

Li Chen, Shuisheng Zhou

Neurocomputing, 2018

2017

Stochastic Variance Reduction Gradient for a Non-convex Problem Using Graduated Optimization.

Li Chen, Shuisheng Zhou, Zhuan Zhang

CoRR, 2017

2016

Sparse LSSVM in Primal Using Cholesky Factorization for Large-Scale Problems.

Shuisheng Zhou

IEEE Trans. Neural Networks Learn. Syst., 2016

Fast kernel fuzzy c-means algorithms based on difference of convex programming.

Li Chen, Shuisheng Zhou, Xintao Gao

Proceedings of the 12th International Conference on Natural Computation, 2016

2015

Quadratic regularization projected Barzilai-Borwein method for nonnegative matrix factorization.

Yakui Huang, Hongwei Liu, Shuisheng Zhou

Data Min. Knowl. Discov., 2015

2014

Kernelization of matrix updates, when and how?

Manfred K. Warmuth, Wojciech Kotlowski, Shuisheng Zhou

Theor. Comput. Sci., 2014

2013

New smoothing SVM algorithm with tight error bound and efficient reduced techniques.

Shuisheng Zhou, Jiangtao Cui, Feng Ye, Hongwei Liu, Qiang Zhu

Comput. Optim. Appl., 2013

2012

Rank-two update algorithms for the minimum volume enclosing ellipsoid problem.

Weijie Cong, Hongwei Liu, Feng Ye, Shuisheng Zhou

Comput. Optim. Appl., 2012

SVM Regularizer Models on RKHS vs. on R m.

Yinli Dong, Shuisheng Zhou

Proceedings of the Intelligent Computing Technology - 8th International Conference, 2012

2010

Efficient nearest neighbor query based on extended B⁺-tree in high-dimensional space.

Jiangtao Cui, Zhiyong An, Yong Guo, Shuisheng Zhou

Pattern Recognit. Lett., 2010

New combination coefficients for AdaBoost algorithms.

Shuisheng Zhou, Manfred K. Warmuth, Yinli Dong, Feng Ye

Proceedings of the Sixth International Conference on Natural Computation, 2010

2009

A new iterative algorithm training SVM.

Shuisheng Zhou, Hongwei Liu, Feng Ye, Li-Hua Zhou

Optim. Methods Softw., 2009

Variant of Gaussian kernel and parameter setting method for nonlinear SVM.

Shuisheng Zhou, Hongwei Liu, Feng Ye

Neurocomputing, 2009

2008

A smoothing trust-region Newton-CG method for minimax problem.

Feng Ye, Hongwei Liu, Shuisheng Zhou, Sanyang Liu

Appl. Math. Comput., 2008

2007

Semismooth Newton support vector machine.

Shuisheng Zhou, Hongwei Liu, Li-Hua Zhou, Feng Ye

Pattern Recognit. Lett., 2007

Efficient high-dimensional indexing by sorting principal component.

Jiangtao Cui, Shuisheng Zhou, Junding Sun

Pattern Recognit. Lett., 2007

The Variant of Gaussian Kernel and Its Model Selection Method.

Shuisheng Zhou, Hongwei Liu, Feng Ye

Proceedings of the Third International Conference on Natural Computation, 2007

PCR-Tree: A Compression-Based Index Structure for Similarity Searching in High-Dimensional Image Databases.

Jiangtao Cui, Shuisheng Zhou, Shan Zhao

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006

A new technique for generalized learning vector quantization algorithm.

Shuisheng Zhou, Weiwei Wang, Li-Hua Zhou

Image Vis. Comput., 2006

Exact Semismooth Newton SVM.

Shuisheng Zhou, Hongwei Liu, Jiangtao Cui, Li-Hua Zhou

Proceedings of the Advances in Natural Computation, Second International Conference, 2006