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Journal Articles
- 2024
[j43]Ting Yang, Shuisheng Zhou
, Zhuan Zhang:
Affinity adaptive sparse subspace clustering via constrained Laplacian rank. Appl. Intell. 54(23): 12378-12390 (2024)- [j42]Yuxue Chen, Shuisheng Zhou:
Revisiting Possibilistic Fuzzy C-Means Clustering Using the Majorization-Minimization Method. Entropy 26(8): 670 (2024) - [j41]Junna Zhang, Shuisheng Zhou:
Structured orthogonal random features based on DCT for kernel approximation. Neurocomputing 610: 128640 (2024) - [j40]Kang Zhao, Shuisheng Zhou, Ying Zhang, Junna Zhang:
Consistent multi-view subspace clustering with local structure information. Int. J. Mach. Learn. Cybern. 15(8): 3495-3512 (2024) - [j39]Dong Li, Shuisheng Zhou, Tieyong Zeng, Raymond H. Chan:
Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm. IEEE Trans. Knowl. Data Eng. 36(11): 6653-6666 (2024) - 2023
- [j38]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): 21407-21421 (2023) - [j37]Cui Fu, Shuisheng Zhou, Dan Zhang, Li Chen:
Relative Density-Based Intuitionistic Fuzzy SVM for Class Imbalance Learning. Entropy 25(1): 34 (2023) - [j36]Xiling Liu, Shuisheng Zhou:
Kernel Partial Least Squares Feature Selection Based on Maximum Weight Minimum Redundancy. Entropy 25(2): 325 (2023) - [j35]Xiling Liu, Shuisheng Zhou:
Quality-related Fault Detection Based on Approximate Kernel Partial Least Squares Method. J. Grid Comput. 21(2): 29 (2023) - [j34]Zhuan Zhang, Shuisheng Zhou:
Adaptive proximal SGD based on new estimating sequences for sparser ERM. Inf. Sci. 638: 118965 (2023) - [j33]Shuisheng Zhou, Wendi Zhou:
Unified SVM algorithm based on LS-DC loss. Mach. Learn. 112(8): 2975-3002 (2023) - [j32]Cui Fu, Shuisheng Zhou, Yuxue Chen, Li Chen, Banghe Han:
A risk-averse learning machine via variance-dependent penalization. Pattern Recognit. Lett. 171: 116-123 (2023) - [j31]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): 12337-12349 (2023) - 2022
- [j30]Jiajun Ma, Shuisheng Zhou:
Discriminative least squares regression for multiclass classification based on within-class scatter minimization. Appl. Intell. 52(1): 622-635 (2022) - [j29]Zhuan Zhang, Shuisheng Zhou, Ting Yang, Junna Zhang:
Faster doubly stochastic functional gradient by gradient preconditioning for scalable kernel methods. Appl. Intell. 52(7): 7091-7112 (2022) - [j28]Zhuan Zhang, Shuisheng Zhou, Dong Li, Ting Yang:
Riemannian proximal stochastic gradient descent for sparse 2DPCA. Digit. Signal Process. 122: 103320 (2022) - [j27]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): 3341-3358 (2022) - [j26]Yuxue Chen, Shuisheng Zhou, Ximin Zhang, Dong Li, Cui Fu:
Improved fuzzy c-means clustering by varying the fuzziness parameter. Pattern Recognit. Lett. 157: 60-66 (2022) - [j25]Ting Yang, Shuisheng Zhou, Zhuan Zhang:
The k-sparse LSR for subspace clustering via 0-1 integer programming. Signal Process. 199: 108622 (2022) - 2021
- [j24]Li Chen, Shuisheng Zhou, Jiajun Ma, Mingliang Xu:
Fast kernel k-means clustering using incomplete Cholesky factorization. Appl. Math. Comput. 402: 126037 (2021) - [j23]Jiajun Ma, Shuisheng Zhou, Dong Li:
Robust multiclass least squares support vector classifier with optimal error distribution. Knowl. Based Syst. 215: 106652 (2021) - [j22]Jiajun Ma, Shuisheng Zhou:
Metric learning-guided k nearest neighbor multilabel classifier. Neural Comput. Appl. 33(7): 2411-2425 (2021) - [j21]Shuisheng Zhou, Dong Li, Zhuan Zhang, Rui Ping:
A New Membership Scaling Fuzzy C-Means Clustering Algorithm. IEEE Trans. Fuzzy Syst. 29(9): 2810-2818 (2021) - 2020
- [j20]Chunyu Yang, Weiwei Wang, Xiangchu Feng, Shuisheng Zhou:
Classification-Friendly Sparse Encoder and Classifier Learning. IEEE Access 8: 54494-54505 (2020) - [j19]Xiling Liu, Shuisheng Zhou:
Approximate kernel partial least squares. Ann. Math. Artif. Intell. 88(9): 973-986 (2020) - [j18]Zhuan Zhang, Shuisheng Zhou, Dong Li, Ting Yang:
Gradient preconditioned mini-batch SGD for ridge regression. Neurocomputing 413: 284-293 (2020) - [j17]Li Chen, Shuisheng Zhou, Jiajun Ma:
Stable sparse subspace embedding for dimensionality reduction. Knowl. Based Syst. 195: 105639 (2020) - 2019
- [j16]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: 16-23 (2019) - [j15]Shuisheng Zhou, Danqing Zhang:
Bilateral Angle 2DPCA for Face Recognition. IEEE Signal Process. Lett. 26(2): 317-321 (2019) - 2018
- [j14]Li Chen, Shuisheng Zhou:
Sparse algorithm for robust LSSVM in primal space. Neurocomputing 275: 2880-2891 (2018) - [j13]Li Chen, Shuisheng Zhou, Zhuan Zhang:
SVRG for a non-convex problem using graduated optimization algorithm. J. Intell. Fuzzy Syst. 34(1): 153-165 (2018) - 2016
- [j12]Shuisheng Zhou:
Sparse LSSVM in Primal Using Cholesky Factorization for Large-Scale Problems. IEEE Trans. Neural Networks Learn. Syst. 27(4): 783-795 (2016) - 2015
- [j11]Yakui Huang, Hongwei Liu, Shuisheng Zhou:
Quadratic regularization projected Barzilai-Borwein method for nonnegative matrix factorization. Data Min. Knowl. Discov. 29(6): 1665-1684 (2015) - 2014
- [j10]Manfred K. Warmuth, Wojciech Kotlowski, Shuisheng Zhou:
Kernelization of matrix updates, when and how? Theor. Comput. Sci. 558: 159-178 (2014) - 2013
- [j9]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): 599-617 (2013) - 2012
- [j8]Weijie Cong, Hongwei Liu, Feng Ye, Shuisheng Zhou:
Rank-two update algorithms for the minimum volume enclosing ellipsoid problem. Comput. Optim. Appl. 51(1): 241-257 (2012) - 2010
- [j7]Jiangtao Cui, Zhiyong An, Yong Guo, Shuisheng Zhou:
Efficient nearest neighbor query based on extended B+-tree in high-dimensional space. Pattern Recognit. Lett. 31(12): 1740-1748 (2010) - 2009
- [j6]Shuisheng Zhou, Hongwei Liu, Feng Ye:
Variant of Gaussian kernel and parameter setting method for nonlinear SVM. Neurocomputing 72(13-15): 2931-2937 (2009) - [j5]Shuisheng Zhou, Hongwei Liu, Feng Ye, Li-Hua Zhou:
A new iterative algorithm training SVM. Optim. Methods Softw. 24(6): 913-932 (2009) - 2008
- [j4]Feng Ye, Hongwei Liu, Shuisheng Zhou, Sanyang Liu:
A smoothing trust-region Newton-CG method for minimax problem. Appl. Math. Comput. 199(2): 581-589 (2008) - 2007
- [j3]Shuisheng Zhou, Hongwei Liu, Li-Hua Zhou, Feng Ye:
Semismooth Newton support vector machine. Pattern Recognit. Lett. 28(15): 2054-2062 (2007) - [j2]Jiangtao Cui, Shuisheng Zhou, Junding Sun:
Efficient high-dimensional indexing by sorting principal component. Pattern Recognit. Lett. 28(16): 2412-2418 (2007) - 2006
- [j1]Shuisheng Zhou, Weiwei Wang, Li-Hua Zhou:
A new technique for generalized learning vector quantization algorithm. Image Vis. Comput. 24(7): 649-655 (2006)
Conference and Workshop Papers
- 2023
- [c9]Ting Yang, Shuisheng Zhou:
Iteratively Reweighted Hypergraph Subspace Clustering. CSAI 2023: 183-189 - 2021
- [c8]Xi Zhao, Shuisheng Zhou:
Fast Mixing of Hard Negative Samples for Contrastive Learning and Use for COVID-19. ICBDT 2021: 6-12 - 2016
- [c7]Li Chen, Shuisheng Zhou, Xintao Gao:
Fast kernel fuzzy c-means algorithms based on difference of convex programming. ICNC-FSKD 2016: 1090-1095 - 2012
- [c6]Manfred K. Warmuth, Wojciech Kotlowski, Shuisheng Zhou:
Kernelization of Matrix Updates, When and How? ALT 2012: 350-364 - [c5]Yinli Dong, Shuisheng Zhou:
SVM Regularizer Models on RKHS vs. on R m. ICIC (1) 2012: 103-111 - 2010
- [c4]Shuisheng Zhou, Manfred K. Warmuth, Yinli Dong, Feng Ye:
New combination coefficients for AdaBoost algorithms. ICNC 2010: 3194-3198 - 2007
- [c3]Jiangtao Cui, Shuisheng Zhou, Shan Zhao:
PCR-Tree: A Compression-Based Index Structure for Similarity Searching in High-Dimensional Image Databases. FSKD (2) 2007: 395-400 - [c2]Shuisheng Zhou, Hongwei Liu, Feng Ye:
The Variant of Gaussian Kernel and Its Model Selection Method. ICNC (1) 2007: 683-687 - 2006
- [c1]Shuisheng Zhou, Hongwei Liu, Jiangtao Cui, Li-Hua Zhou:
Exact Semismooth Newton SVM. ICNC (1) 2006: 139-142
Informal and Other Publications
- 2023
- [i7]Dong Li, Shuisheng Zhou, Tieyong Zeng, Raymond H. Chan:
Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm. CoRR abs/2302.07045 (2023) - [i6]Dong Li, Shuisheng Zhou, Witold Pedrycz:
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling. CoRR abs/2302.07060 (2023) - 2021
- [i5]Junna Zhang, Shuisheng Zhou, Cui Fu, Zhuan Zhang:
Using Multilevel Circulant Matrix Approximate to Speed Up Kernel Logistic Regression. CoRR abs/2108.08605 (2021) - 2020
- [i4]Li Chen, Shuisheng Zhou, Jiajun Ma:
Fast Kernel k-means Clustering Using Incomplete Cholesky Factorization. CoRR abs/2002.02846 (2020) - [i3]Shuisheng Zhou, Wendi Zhou:
Unified SVM algorithm based LS-DC Loss. CoRR abs/2006.09111 (2020) - 2017
- [i2]Li Chen, Shuisheng Zhou:
Sparse Algorithm for Robust LSSVM in Primal Space. CoRR abs/1702.01935 (2017) - [i1]Li Chen, Shuisheng Zhou, Zhuan Zhang:
Stochastic Variance Reduction Gradient for a Non-convex Problem Using Graduated Optimization. CoRR abs/1707.02727 (2017)
Coauthor Index
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last updated on 2024-10-23 21:27 CEST by the dblp team
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