Shuisheng Zhou

67 papers B 1Misc 1Journal 57Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A high-dimensional feature selection method based on feature interaction clustering and integer-encoded TLBO. Comput. Appl. Math. Xiaoxia Wang, Shuisheng Zhou, Binjie Hou, Yazhi Li
2026	J	`jnl`	Improve contrastive clustering performance by multiple fusing-augmenting ViT blocks. Data Min. Knowl. Discov. Cheng Wang, Shuisheng Zhou, Fengjiao Peng, Jin Sheng, Feng Ye, Yinli Dong
2025	J	`jnl`	A novel consistency low-rank graph learning for multi-view clustering. Knowl. Based Syst. Lin Liu, Shuisheng Zhou, Dezheng Kong, Ying Zhang, Banghe Han, Yinli Dong
2025	J	`jnl`	Improve Contrastive Clustering Performance by Multiple Fusing-Augmenting ViT Blocks. CoRR Cheng Wang, Shuisheng Zhou, Fengjiao Peng, Jin Sheng, Feng Ye, Yinli Dong
2025	J	`jnl`	Interpretable Multiple Kernel K-Means Clustering with Entropy Regularization. Int. J. Pattern Recognit. Artif. Intell. Fengjiao Peng, Shuisheng Zhou
2025	J	`jnl`	Multi-contrast image clustering via multi-resolution augmentation and momentum-output queues. Neurocomputing Sheng Jin, Shuisheng Zhou, Dezheng Kong, Banghe Han
2025	J	`jnl`	One-step multi-view spectral clustering based on multi-feature similarity fusion. Signal Process. Dezheng Kong, Shuisheng Zhou, Sheng Jin, Feng Ye, Ximin Zhang
2024	J	`jnl`	Affinity adaptive sparse subspace clustering via constrained Laplacian rank. Appl. Intell. Ting Yang, Shuisheng Zhou, Zhuan Zhang
2024	J	`jnl`	Consistent multi-view subspace clustering with local structure information. Int. J. Mach. Learn. Cybern. Kang Zhao, Shuisheng Zhou, Ying Zhang, Junna Zhang
2024	J	`jnl`	Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm. IEEE Trans. Knowl. Data Eng. Dong Li, Shuisheng Zhou, Tieyong Zeng, Raymond H. Chan
2024	—	`conf`	Non-negative Matrix Tri-Factorization Based on Anchor Graph for Clustering. MLNLP Ying Zhang, Shuisheng Zhou, Tongxin Xu
2024	J	`jnl`	Revisiting Possibilistic Fuzzy C-Means Clustering Using the Majorization-Minimization Method. Entropy Yuxue Chen, Shuisheng Zhou
2024	J	`jnl`	Structured orthogonal random features based on DCT for kernel approximation. Neurocomputing Junna Zhang, Shuisheng Zhou
2023	J	`jnl`	A risk-averse learning machine via variance-dependent penalization. Pattern Recognit. Lett. Cui Fu, Shuisheng Zhou, Yuxue Chen, Li Chen, Banghe Han
2023	J	`jnl`	Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling. CoRR Dong Li, Shuisheng Zhou, Witold Pedrycz
2023	J	`jnl`	Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling. IEEE Trans. Knowl. Data Eng. Dong Li, Shuisheng Zhou, Witold Pedrycz
2023	J	`jnl`	Adaptive proximal SGD based on new estimating sequences for sparser ERM. Inf. Sci. Zhuan Zhang, Shuisheng Zhou
2023	J	`jnl`	Fast newton method to solve KLR based on multilevel circulant matrix with log-linear complexity. Appl. Intell. Junna Zhang, Shuisheng Zhou, Cui Fu, Feng Ye
2023	—	`conf`	Iteratively Reweighted Hypergraph Subspace Clustering. CSAI Ting Yang, Shuisheng Zhou
2023	J	`jnl`	Kernel Partial Least Squares Feature Selection Based on Maximum Weight Minimum Redundancy. Entropy Xiling Liu, Shuisheng Zhou
2023	J	`jnl`	Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm. CoRR Dong Li, Shuisheng Zhou, Tieyong Zeng, Raymond H. Chan
2023	J	`jnl`	Quality-related Fault Detection Based on Approximate Kernel Partial Least Squares Method. J. Grid Comput. Xiling Liu, Shuisheng Zhou
2023	J	`jnl`	Relative Density-Based Intuitionistic Fuzzy SVM for Class Imbalance Learning. Entropy Cui Fu, Shuisheng Zhou, Dan Zhang, Li Chen
2023	J	`jnl`	Unified SVM algorithm based on LS-DC loss. Mach. Learn. Shuisheng Zhou, Wendi Zhou
2022	J	`jnl`	Discriminative least squares regression for multiclass classification based on within-class scatter minimization. Appl. Intell. Jiajun Ma, Shuisheng Zhou
2022	J	`jnl`	Faster doubly stochastic functional gradient by gradient preconditioning for scalable kernel methods. Appl. Intell. Zhuan Zhang, Shuisheng Zhou, Ting Yang, Junna Zhang
2022	J	`jnl`	Improved fuzzy c-means clustering by varying the fuzziness parameter. Pattern Recognit. Lett. Yuxue Chen, Shuisheng Zhou, Ximin Zhang, Dong Li, Cui Fu
2022	J	`jnl`	Riemannian proximal stochastic gradient descent for sparse 2DPCA. Digit. Signal Process. Zhuan Zhang, Shuisheng Zhou, Dong Li, Ting Yang
2022	J	`jnl`	Risk-Averse support vector classifier machine via moments penalization. Int. J. Mach. Learn. Cybern. Cui Fu, Shuisheng Zhou, Junna Zhang, Banghe Han, Yuxue Chen, Feng Ye
2022	J	`jnl`	The k-sparse LSR for subspace clustering via 0-1 integer programming. Signal Process. Ting Yang, Shuisheng Zhou, Zhuan Zhang
2021	J	`jnl`	A New Membership Scaling Fuzzy C-Means Clustering Algorithm. IEEE Trans. Fuzzy Syst. Shuisheng Zhou, Dong Li, Zhuan Zhang, Rui Ping
2021	—	`conf`	Fast Mixing of Hard Negative Samples for Contrastive Learning and Use for COVID-19. ICBDT Xi Zhao, Shuisheng Zhou
2021	J	`jnl`	Fast kernel k-means clustering using incomplete Cholesky factorization. Appl. Math. Comput. Li Chen, Shuisheng Zhou, Jiajun Ma, Mingliang Xu
2021	J	`jnl`	Metric learning-guided k nearest neighbor multilabel classifier. Neural Comput. Appl. Jiajun Ma, Shuisheng Zhou
2021	J	`jnl`	Robust multiclass least squares support vector classifier with optimal error distribution. Knowl. Based Syst. Jiajun Ma, Shuisheng Zhou, Dong Li
2021	J	`jnl`	Using Multilevel Circulant Matrix Approximate to Speed Up Kernel Logistic Regression. CoRR Junna Zhang, Shuisheng Zhou, Cui Fu, Zhuan Zhang
2020	J	`jnl`	Approximate kernel partial least squares. Ann. Math. Artif. Intell. Xiling Liu, Shuisheng Zhou
2020	J	`jnl`	Classification-Friendly Sparse Encoder and Classifier Learning. IEEE Access Chunyu Yang, Weiwei Wang, Xiangchu Feng, Shuisheng Zhou
2020	J	`jnl`	Fast Kernel k-means Clustering Using Incomplete Cholesky Factorization. CoRR Li Chen, Shuisheng Zhou, Jiajun Ma
2020	J	`jnl`	Gradient preconditioned mini-batch SGD for ridge regression. Neurocomputing Zhuan Zhang, Shuisheng Zhou, Dong Li, Ting Yang
2020	J	`jnl`	Stable sparse subspace embedding for dimensionality reduction. Knowl. Based Syst. Li Chen, Shuisheng Zhou, Jiajun Ma
2020	J	`jnl`	Unified SVM algorithm based LS-DC Loss. CoRR Shuisheng Zhou, Wendi Zhou
2019	J	`jnl`	A sparse robust model for large scale multi-class classification based on K-SVCR. Pattern Recognit. Lett. Jiajun Ma, Shuisheng Zhou, Li Chen, Weiwei Wang, Zhuan Zhang
2019	J	`jnl`	Bilateral Angle 2DPCA for Face Recognition. IEEE Signal Process. Lett. Shuisheng Zhou, Danqing Zhang
2018	J	`jnl`	SVRG for a non-convex problem using graduated optimization algorithm. J. Intell. Fuzzy Syst. Li Chen, Shuisheng Zhou, Zhuan Zhang
2018	J	`jnl`	Sparse algorithm for robust LSSVM in primal space. Neurocomputing Li Chen, Shuisheng Zhou
2017	J	`jnl`	Sparse Algorithm for Robust LSSVM in Primal Space. CoRR Li Chen, Shuisheng Zhou
2017	J	`jnl`	Stochastic Variance Reduction Gradient for a Non-convex Problem Using Graduated Optimization. CoRR Li Chen, Shuisheng Zhou, Zhuan Zhang
2016	—	`conf`	Fast kernel fuzzy c-means algorithms based on difference of convex programming. ICNC-FSKD Li Chen, Shuisheng Zhou, Xintao Gao
2016	J	`jnl`	Sparse LSSVM in Primal Using Cholesky Factorization for Large-Scale Problems. IEEE Trans. Neural Networks Learn. Syst. Shuisheng Zhou
2015	J	`jnl`	Quadratic regularization projected Barzilai-Borwein method for nonnegative matrix factorization. Data Min. Knowl. Discov. Yakui Huang, Hongwei Liu, Shuisheng Zhou
2014	J	`jnl`	Kernelization of matrix updates, when and how? Theor. Comput. Sci. Manfred K. Warmuth, Wojciech Kotlowski, Shuisheng Zhou
2013	J	`jnl`	New smoothing SVM algorithm with tight error bound and efficient reduced techniques. Comput. Optim. Appl. Shuisheng Zhou, Jiangtao Cui, Feng Ye, Hongwei Liu, Qiang Zhu
2012	B	`conf`	Kernelization of Matrix Updates, When and How? ALT Manfred K. Warmuth, Wojciech Kotlowski, Shuisheng Zhou
2012	J	`jnl`	Rank-two update algorithms for the minimum volume enclosing ellipsoid problem. Comput. Optim. Appl. Weijie Cong, Hongwei Liu, Feng Ye, Shuisheng Zhou
2012	—	`conf`	SVM Regularizer Models on RKHS vs. on R m. ICIC (1) Yinli Dong, Shuisheng Zhou
2010	J	`jnl`	Efficient nearest neighbor query based on extended B Pattern Recognit. Lett. Jiangtao Cui, Zhiyong An, Yong Guo, Shuisheng Zhou
2010	Misc	`conf`	New combination coefficients for AdaBoost algorithms. ICNC Shuisheng Zhou, Manfred K. Warmuth, Yinli Dong, Feng Ye
2009	J	`jnl`	A new iterative algorithm training SVM. Optim. Methods Softw. Shuisheng Zhou, Hongwei Liu, Feng Ye, Li-Hua Zhou
2009	J	`jnl`	Variant of Gaussian kernel and parameter setting method for nonlinear SVM. Neurocomputing Shuisheng Zhou, Hongwei Liu, Feng Ye
2008	J	`jnl`	A smoothing trust-region Newton-CG method for minimax problem. Appl. Math. Comput. Feng Ye, Hongwei Liu, Shuisheng Zhou, Sanyang Liu
2007	J	`jnl`	Efficient high-dimensional indexing by sorting principal component. Pattern Recognit. Lett. Jiangtao Cui, Shuisheng Zhou, Junding Sun
2007	—	`conf`	PCR-Tree: A Compression-Based Index Structure for Similarity Searching in High-Dimensional Image Databases. FSKD (2) Jiangtao Cui, Shuisheng Zhou, Shan Zhao
2007	J	`jnl`	Semismooth Newton support vector machine. Pattern Recognit. Lett. Shuisheng Zhou, Hongwei Liu, Li-Hua Zhou, Feng Ye
2007	—	`conf`	The Variant of Gaussian Kernel and Its Model Selection Method. ICNC (1) Shuisheng Zhou, Hongwei Liu, Feng Ye
2006	J	`jnl`	A new technique for generalized learning vector quantization algorithm. Image Vis. Comput. Shuisheng Zhou, Weiwei Wang, Li-Hua Zhou
2006	—	`conf`	Exact Semismooth Newton SVM. ICNC (1) Shuisheng Zhou, Hongwei Liu, Jiangtao Cui, Li-Hua Zhou