Exact Semismooth Newton SVM. - Shuisheng Zhou; Hongwei Liu 001; Jiangtao Cui; Li-Hua Zhou (ICNC (1), 2006)

A new technique for generalized learning vector quantization algorithm. - Shuisheng Zhou; Weiwei Wang 005; Li-Hua Zhou (Image Vis. Comput., 2006)

PCR-Tree: A Compression-Based Index Structure for Similarity Searching in High-Dimensional Image Databases. - Jiangtao Cui; Shuisheng Zhou; Shan Zhao (FSKD (2), 2007)

The Variant of Gaussian Kernel and Its Model Selection Method. - Shuisheng Zhou; Hongwei Liu 001; Feng Ye (ICNC (1), 2007)

Efficient high-dimensional indexing by sorting principal component. - Jiangtao Cui; Shuisheng Zhou; Junding Sun (Pattern Recognit. Lett., 2007)

Semismooth Newton support vector machine. - Shuisheng Zhou; Hongwei Liu 001; Li-Hua Zhou; Feng Ye (Pattern Recognit. Lett., 2007)

A smoothing trust-region Newton-CG method for minimax problem. - Feng Ye; Hongwei Liu 001; Shuisheng Zhou; Sanyang Liu (Appl. Math. Comput., 2008)

Variant of Gaussian kernel and parameter setting method for nonlinear SVM. - Shuisheng Zhou; Hongwei Liu 001; Feng Ye (Neurocomputing, 2009)

A new iterative algorithm training SVM. - Shuisheng Zhou; Hongwei Liu 001; Feng Ye; Li-Hua Zhou (Optim. Methods Softw., 2009)

New combination coefficients for AdaBoost algorithms. - Shuisheng Zhou; Manfred K. Warmuth; Yinli Dong; Feng Ye (ICNC, 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)

SVM Regularizer Models on RKHS vs. on R m. - Yinli Dong; Shuisheng Zhou (ICIC (1), 2012)

Rank-two update algorithms for the minimum volume enclosing ellipsoid problem. - Weijie Cong; Hongwei Liu 001; Feng Ye; Shuisheng Zhou (Comput. Optim. Appl., 2012)

New smoothing SVM algorithm with tight error bound and efficient reduced techniques. - Shuisheng Zhou; Jiangtao Cui; Feng Ye; Hongwei Liu 001; Qiang Zhu 003 (Comput. Optim. Appl., 2013)

Kernelization of matrix updates, when and how? - Manfred K. Warmuth; Wojciech Kotlowski; Shuisheng Zhou (Theor. Comput. Sci., 2014)

Quadratic regularization projected Barzilai-Borwein method for nonnegative matrix factorization. - Yakui Huang; Hongwei Liu 001; Shuisheng Zhou (Data Min. Knowl. Discov., 2015)

Fast kernel fuzzy c-means algorithms based on difference of convex programming. - Li Chen; Shuisheng Zhou; Xintao Gao (ICNC-FSKD, 2016)

Sparse LSSVM in Primal Using Cholesky Factorization for Large-Scale Problems. - Shuisheng Zhou (IEEE Trans. Neural Networks Learn. Syst., 2016)

Stochastic Variance Reduction Gradient for a Non-convex Problem Using Graduated Optimization. - Li Chen; Shuisheng Zhou; Zhuan Zhang (CoRR, 2017)

Sparse algorithm for robust LSSVM in primal space. - Li Chen; Shuisheng Zhou (Neurocomputing, 2018)

SVRG for a non-convex problem using graduated optimization algorithm. - Li Chen; Shuisheng Zhou; Zhuan Zhang (J. Intell. Fuzzy Syst., 2018)

A sparse robust model for large scale multi-class classification based on K-SVCR. - Jiajun Ma; Shuisheng Zhou; Li Chen; Weiwei Wang 005; Zhuan Zhang (Pattern Recognit. Lett., 2019)

Bilateral Angle 2DPCA for Face Recognition. - Shuisheng Zhou; Danqing Zhang (IEEE Signal Process. Lett., 2019)

Classification-Friendly Sparse Encoder and Classifier Learning. - Chunyu Yang 002; Weiwei Wang 005; Xiangchu Feng; Shuisheng Zhou (IEEE Access, 2020)

Approximate kernel partial least squares. - Xiling Liu; Shuisheng Zhou (Ann. Math. Artif. Intell., 2020)

Fast Kernel k-means Clustering Using Incomplete Cholesky Factorization. - Li Chen; Shuisheng Zhou; Jiajun Ma (CoRR, 2020)

Gradient preconditioned mini-batch SGD for ridge regression. - Zhuan Zhang; Shuisheng Zhou; Dong Li; Ting Yang (Neurocomputing, 2020)

Stable sparse subspace embedding for dimensionality reduction. - Li Chen; Shuisheng Zhou; Jiajun Ma (Knowl. Based Syst., 2020)

Fast Mixing of Hard Negative Samples for Contrastive Learning and Use for COVID-19. - Xi Zhao; Shuisheng Zhou (ICBDT, 2021)

Fast kernel k-means clustering using incomplete Cholesky factorization. - Li Chen; Shuisheng Zhou; Jiajun Ma; Mingliang Xu (Appl. Math. Comput., 2021)

Using Multilevel Circulant Matrix Approximate to Speed Up Kernel Logistic Regression. - Junna Zhang; Shuisheng Zhou; Cui Fu; Zhuan Zhang (CoRR, 2021)

Robust multiclass least squares support vector classifier with optimal error distribution. - Jiajun Ma; Shuisheng Zhou; Dong Li (Knowl. Based Syst., 2021)

Metric learning-guided k nearest neighbor multilabel classifier. - Jiajun Ma; Shuisheng Zhou (Neural Comput. Appl., 2021)

A New Membership Scaling Fuzzy C-Means Clustering Algorithm. - Shuisheng Zhou; Dong Li; Zhuan Zhang; Rui Ping (IEEE Trans. Fuzzy Syst., 2021)

Discriminative least squares regression for multiclass classification based on within-class scatter minimization. - Jiajun Ma; Shuisheng Zhou (Appl. Intell., 2022)

Faster doubly stochastic functional gradient by gradient preconditioning for scalable kernel methods. - Zhuan Zhang; Shuisheng Zhou; Ting Yang; Junna Zhang (Appl. Intell., 2022)

Riemannian proximal stochastic gradient descent for sparse 2DPCA. - Zhuan Zhang; Shuisheng Zhou; Dong Li; Ting Yang (Digit. Signal Process., 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)

Improved fuzzy c-means clustering by varying the fuzziness parameter. - Yuxue Chen; Shuisheng Zhou; Ximin Zhang; Dong Li; Cui Fu (Pattern Recognit. Lett., 2022)

The k-sparse LSR for subspace clustering via 0-1 integer programming. - Ting Yang; Shuisheng Zhou; Zhuan Zhang (Signal Process., 2022)

Iteratively Reweighted Hypergraph Subspace Clustering. - Ting Yang; Shuisheng Zhou (CSAI, 2023)

Unified SVM algorithm based on LS-DC loss. - Shuisheng Zhou; Wendi Zhou (Mach. Learn., 2023)

A risk-averse learning machine via variance-dependent penalization. - Cui Fu; Shuisheng Zhou; Yuxue Chen; Li Chen; Banghe Han (Pattern Recognit. Lett., 2023)

Relative Density-Based Intuitionistic Fuzzy SVM for Class Imbalance Learning. - Cui Fu; Shuisheng Zhou; Dan Zhang; Li Chen (Entropy, 2023)

Kernel Partial Least Squares Feature Selection Based on Maximum Weight Minimum Redundancy. - Xiling Liu; Shuisheng Zhou (Entropy, 2023)

Quality-related Fault Detection Based on Approximate Kernel Partial Least Squares Method. - Xiling Liu; Shuisheng Zhou (J. Grid Comput., 2023)

Adaptive proximal SGD based on new estimating sequences for sparser ERM. - Zhuan Zhang; Shuisheng Zhou (Inf. Sci., 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., 2023)

Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling. - Dong Li 009; Shuisheng Zhou; Witold Pedrycz (IEEE Trans. Knowl. Data Eng., 2023)

Non-negative Matrix Tri-Factorization Based on Anchor Graph for Clustering. - Ying Zhang; Shuisheng Zhou; Tongxin Xu (MLNLP, 2024)

Structured orthogonal random features based on DCT for kernel approximation. - Junna Zhang; Shuisheng Zhou (Neurocomputing, 2024)

Revisiting Possibilistic Fuzzy C-Means Clustering Using the Majorization-Minimization Method. - Yuxue Chen; Shuisheng Zhou (Entropy, 2024)

Consistent multi-view subspace clustering with local structure information. - Kang Zhao; Shuisheng Zhou; Ying Zhang; Junna Zhang (Int. J. Mach. Learn. Cybern., 2024)

Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm. - Dong Li; Shuisheng Zhou; Tieyong Zeng; Raymond H. Chan (IEEE Trans. Knowl. Data Eng., 2024)

Affinity adaptive sparse subspace clustering via constrained Laplacian rank. - Ting Yang; Shuisheng Zhou; Zhuan Zhang (Appl. Intell., 2024)

Multi-contrast image clustering via multi-resolution augmentation and momentum-output queues. - Sheng Jin; Shuisheng Zhou; Dezheng Kong 003; Banghe Han (Neurocomputing, 2025)

Interpretable Multiple Kernel K-Means Clustering with Entropy Regularization. - Fengjiao Peng; Shuisheng Zhou (Int. J. Pattern Recognit. Artif. Intell., 2025)

A novel consistency low-rank graph learning for multi-view clustering. - Lin Liu; Shuisheng Zhou; Dezheng Kong 003; Ying Zhang; Banghe Han; Yinli Dong (Knowl. Based Syst., 2025)

One-step multi-view spectral clustering based on multi-feature similarity fusion. - Dezheng Kong 003; Shuisheng Zhou; Sheng Jin; Feng Ye; Ximin Zhang (Signal Process., 2025)