Shuisheng Zhou

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 38

Top Topics

Nonnegative Matrix Factorization

Minimum Redundancy

Top Venues

Pattern Recognit. Lett.

Publications

Kang Zhao, Shuisheng Zhou, Ying Zhang, Junna Zhang
Consistent multi-view subspace clustering with local structure information. Int. J. Mach. Learn. Cybern. 15 (8) (2024)
Xiling Liu, Shuisheng Zhou
Kernel Partial Least Squares Feature Selection Based on Maximum Weight Minimum Redundancy. Entropy 25 (2) (2023)
Dong Li, Shuisheng Zhou, Witold Pedrycz
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling. CoRR (2023)
Shuisheng Zhou, Wendi Zhou
Unified SVM algorithm based on LS-DC loss. Mach. Learn. 112 (8) (2023)
Junna Zhang, Shuisheng Zhou, Cui Fu, Feng Ye
Fast newton method to solve KLR based on multilevel circulant matrix with log-linear complexity. Appl. Intell. 53 (18) (2023)
Xiling Liu, Shuisheng Zhou
Quality-related Fault Detection Based on Approximate Kernel Partial Least Squares Method. J. Grid Comput. 21 (2) (2023)
Cui Fu, Shuisheng Zhou, Dan Zhang, Li Chen
Relative Density-Based Intuitionistic Fuzzy SVM for Class Imbalance Learning. Entropy 25 (1) (2023)
Dong Li, Shuisheng Zhou, Witold Pedrycz
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Zhuan Zhang, Shuisheng Zhou
Adaptive proximal SGD based on new estimating sequences for sparser ERM. Inf. Sci. 638 (2023)
Cui Fu, Shuisheng Zhou, Yuxue Chen, Li Chen, Banghe Han
A risk-averse learning machine via variance-dependent penalization. Pattern Recognit. Lett. 171 (2023)
Ting Yang, Shuisheng Zhou
Iteratively Reweighted Hypergraph Subspace Clustering. CSAI (2023)
Dong Li, Shuisheng Zhou, Tieyong Zeng, Raymond H. Chan
Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm. CoRR (2023)
Yuxue Chen, Shuisheng Zhou, Ximin Zhang, Dong Li, Cui Fu
Improved fuzzy c-means clustering by varying the fuzziness parameter. Pattern Recognit. Lett. 157 (2022)
Jiajun Ma, Shuisheng Zhou
Discriminative least squares regression for multiclass classification based on within-class scatter minimization. Appl. Intell. 52 (1) (2022)
Cui Fu, Shuisheng Zhou, Junna Zhang, Banghe Han, Yuxue Chen, Feng Ye
Risk-Averse support vector classifier machine via moments penalization. Int. J. Mach. Learn. Cybern. 13 (11) (2022)
Zhuan Zhang, Shuisheng Zhou, Dong Li, Ting Yang
Riemannian proximal stochastic gradient descent for sparse 2DPCA. Digit. Signal Process. 122 (2022)
Zhuan Zhang, Shuisheng Zhou, Ting Yang, Junna Zhang
Faster doubly stochastic functional gradient by gradient preconditioning for scalable kernel methods. Appl. Intell. 52 (7) (2022)
Ting Yang, Shuisheng Zhou, Zhuan Zhang
The k-sparse LSR for subspace clustering via 0-1 integer programming. Signal Process. 199 (2022)
Jiajun Ma, Shuisheng Zhou
Metric learning-guided k nearest neighbor multilabel classifier. Neural Comput. Appl. 33 (7) (2021)
Li Chen, Shuisheng Zhou, Jiajun Ma, Mingliang Xu
Fast kernel k-means clustering using incomplete Cholesky factorization. Appl. Math. Comput. 402 (2021)
Jiajun Ma, Shuisheng Zhou, Dong Li
Robust multiclass least squares support vector classifier with optimal error distribution. Knowl. Based Syst. 215 (2021)
Junna Zhang, Shuisheng Zhou, Cui Fu, Zhuan Zhang
Using Multilevel Circulant Matrix Approximate to Speed Up Kernel Logistic Regression. CoRR (2021)
Shuisheng Zhou, Dong Li, Zhuan Zhang, Rui Ping
A New Membership Scaling Fuzzy C-Means Clustering Algorithm. IEEE Trans. Fuzzy Syst. 29 (9) (2021)
Xi Zhao, Shuisheng Zhou
Fast Mixing of Hard Negative Samples for Contrastive Learning and Use for COVID-19. ICBDT (2021)
Li Chen, Shuisheng Zhou, Jiajun Ma
Stable sparse subspace embedding for dimensionality reduction. Knowl. Based Syst. 195 (2020)
Li Chen, Shuisheng Zhou, Jiajun Ma
Fast Kernel k-means Clustering Using Incomplete Cholesky Factorization. CoRR (2020)
Zhuan Zhang, Shuisheng Zhou, Dong Li, Ting Yang
Gradient preconditioned mini-batch SGD for ridge regression. Neurocomputing 413 (2020)
Chunyu Yang, Weiwei Wang, Xiangchu Feng, Shuisheng Zhou
Classification-Friendly Sparse Encoder and Classifier Learning. IEEE Access 8 (2020)
Shuisheng Zhou, Wendi Zhou
Unified SVM algorithm based LS-DC Loss. CoRR (2020)
Xiling Liu, Shuisheng Zhou
Approximate kernel partial least squares. Ann. Math. Artif. Intell. 88 (9) (2020)
Jiajun Ma, Shuisheng Zhou, Li Chen, Weiwei Wang, Zhuan Zhang
A sparse robust model for large scale multi-class classification based on K-SVCR. Pattern Recognit. Lett. 117 (2019)
Shuisheng Zhou, Danqing Zhang
Bilateral Angle 2DPCA for Face Recognition. IEEE Signal Process. Lett. 26 (2) (2019)
Li Chen, Shuisheng Zhou
Sparse algorithm for robust LSSVM in primal space. Neurocomputing 275 (2018)
Li Chen, Shuisheng Zhou, Zhuan Zhang
SVRG for a non-convex problem using graduated optimization algorithm. J. Intell. Fuzzy Syst. 34 (1) (2018)
Li Chen, Shuisheng Zhou
Sparse Algorithm for Robust LSSVM in Primal Space. CoRR (2017)
Li Chen, Shuisheng Zhou, Zhuan Zhang
Stochastic Variance Reduction Gradient for a Non-convex Problem Using Graduated Optimization. CoRR (2017)
Shuisheng Zhou
Sparse LSSVM in Primal Using Cholesky Factorization for Large-Scale Problems. IEEE Trans. Neural Networks Learn. Syst. 27 (4) (2016)
Li Chen, Shuisheng Zhou, Xintao Gao
Fast kernel fuzzy c-means algorithms based on difference of convex programming. ICNC-FSKD (2016)
Yakui Huang, Hongwei Liu, Shuisheng Zhou
Quadratic regularization projected Barzilai-Borwein method for nonnegative matrix factorization. Data Min. Knowl. Discov. 29 (6) (2015)
Manfred K. Warmuth, Wojciech Kotlowski, Shuisheng Zhou
Kernelization of matrix updates, when and how? Theor. Comput. Sci. 558 (2014)
Shuisheng Zhou, Jiangtao Cui, Feng Ye, Hongwei Liu, Qiang Zhu
New smoothing SVM algorithm with tight error bound and efficient reduced techniques. Comput. Optim. Appl. 56 (3) (2013)
Weijie Cong, Hongwei Liu, Feng Ye, Shuisheng Zhou
Rank-two update algorithms for the minimum volume enclosing ellipsoid problem. Comput. Optim. Appl. 51 (1) (2012)
Yinli Dong, Shuisheng Zhou
SVM Regularizer Models on RKHS vs. on R m. ICIC (1) (2012)
Manfred K. Warmuth, Wojciech Kotlowski, Shuisheng Zhou
Kernelization of Matrix Updates, When and How? ALT (2012)
Shuisheng Zhou, Manfred K. Warmuth, Yinli Dong, Feng Ye
New combination coefficients for AdaBoost algorithms. ICNC (2010)
Jiangtao Cui, Zhiyong An, Yong Guo, Shuisheng Zhou
-tree in high-dimensional space. Pattern Recognit. Lett. 31 (12) (2010)
Shuisheng Zhou, Hongwei Liu, Feng Ye
Variant of Gaussian kernel and parameter setting method for nonlinear SVM. Neurocomputing 72 (13-15) (2009)
Shuisheng Zhou, Hongwei Liu, Feng Ye, Li-Hua Zhou
A new iterative algorithm training SVM. Optim. Methods Softw. 24 (6) (2009)
Feng Ye, Hongwei Liu, Shuisheng Zhou, Sanyang Liu
A smoothing trust-region Newton-CG method for minimax problem. Appl. Math. Comput. 199 (2) (2008)
Shuisheng Zhou, Hongwei Liu, Feng Ye
The Variant of Gaussian Kernel and Its Model Selection Method. ICNC (1) (2007)
Jiangtao Cui, Shuisheng Zhou, Junding Sun
Efficient high-dimensional indexing by sorting principal component. Pattern Recognit. Lett. 28 (16) (2007)
Jiangtao Cui, Shuisheng Zhou, Shan Zhao
PCR-Tree: A Compression-Based Index Structure for Similarity Searching in High-Dimensional Image Databases. FSKD (2) (2007)
Shuisheng Zhou, Hongwei Liu, Li-Hua Zhou, Feng Ye
Semismooth Newton support vector machine. Pattern Recognit. Lett. 28 (15) (2007)
Shuisheng Zhou, Weiwei Wang, Li-Hua Zhou
A new technique for generalized learning vector quantization algorithm. Image Vis. Comput. 24 (7) (2006)
Shuisheng Zhou, Hongwei Liu, Jiangtao Cui, Li-Hua Zhou
Exact Semismooth Newton SVM. ICNC (1) (2006)