Gao-wei Wu

12 papers C 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2022 J jnl
Momentum Acceleration in the Individual Convergence of Nonsmooth Convex Optimization With Constraints.
IEEE Trans. Neural Networks Learn. Syst.
Wei Tao, Gao-wei Wu, Qing Tao
2018 J jnl
Improving Sparsity and Scalability in Regularized Nonconvex Truncated-Loss Learning Problems.
IEEE Trans. Neural Networks Learn. Syst.
Qing Tao, Gao-wei Wu, Dejun Chu
2014 J jnl
Stochastic Learning via Optimizing the Variational Inequalities.
IEEE Trans. Neural Networks Learn. Syst.
Qing Tao, Qian-Kun Gao, DeJjn Chu, Gao-wei Wu
2012 — conf
Stochastic Coordinate Descent Methods for Regularized Smooth and Nonsmooth Losses.
ECML/PKDD (1)
Qing Tao, Kang Kong, Dejun Chu, Gao-wei Wu
2008 J jnl
A general soft method for learning SVM classifiers with L
Pattern Recognit.
Qing Tao, Gao-wei Wu, Jue Wang
2007 J jnl
Learning linear PCA with convex semi-definite programming.
Pattern Recognit.
Qing Tao, Gao-wei Wu, Jue Wang
2006 — conf
One-Class Strategies for Security Information Detection.
WISI
Qing Tao, Gao-wei Wu, Jue Wang
2006 J jnl
The theoretical analysis of FDA and applications.
Pattern Recognit.
Qing Tao, Gao-wei Wu, Jue Wang
2005 J jnl
A new maximum margin algorithm for one-class problems and its boosting implementation.
Pattern Recognit.
Qing Tao, Gao-wei Wu, Jue Wang
2005 J jnl
Posterior probability support vector Machines for unbalanced data.
IEEE Trans. Neural Networks
Qing Tao, Gao-wei Wu, Fei-Yue Wang, Jue Wang
2005 C conf
Some Marginal Learning Algorithms for Unsupervised Problems.
ISI
Qing Tao, Gao-wei Wu, Fei-Yue Wang, Jue Wang
2004 J jnl
A generalized S-K algorithm for learning v-SVM classifiers.
Pattern Recognit. Lett.
Qing Tao, Gao-wei Wu, Jue Wang