Zhuan Zhang

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Federated survival analysis via data augmentation using multi-task variational autoencoder.
Computing
Wenjun Wang, Yi Zou, Zhuan Zhang, Hong Wang
2024 J jnl
Affinity adaptive sparse subspace clustering via constrained Laplacian rank.
Appl. Intell.
Ting Yang, Shuisheng Zhou, Zhuan Zhang
2023 J jnl
Adaptive proximal SGD based on new estimating sequences for sparser ERM.
Inf. Sci.
Zhuan Zhang, 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
Riemannian proximal stochastic gradient descent for sparse 2DPCA.
Digit. Signal Process.
Zhuan Zhang, Shuisheng Zhou, Dong Li, Ting Yang
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 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
Gradient preconditioned mini-batch SGD for ridge regression.
Neurocomputing
Zhuan Zhang, Shuisheng Zhou, Dong Li, Ting Yang
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
2018 J jnl
SVRG for a non-convex problem using graduated optimization algorithm.
J. Intell. Fuzzy Syst.
Li Chen, Shuisheng Zhou, Zhuan Zhang
2017 J jnl
Stochastic Variance Reduction Gradient for a Non-convex Problem Using Graduated Optimization.
CoRR
Li Chen, Shuisheng Zhou, Zhuan Zhang