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

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)

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

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

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

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)

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

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

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