activity
20172023
most citedInsensitive Stochastic Gradient Twin Support Vector Machine for Large Scale Problems

51 citations · 153 across the 10 of their papers we have counts for

collaborators

10 papers

stat.ML2023★ 1 cited

Least Squares Maximum and Weighted Generalization-Memorization Machines

Shuai Wang, Zhen Wang, Yuan-Hai Shao

In this paper, we propose a new way of remembering by introducing a memory influence mechanism for the least squares support vector machine (LSSVM). Without changing the equation c…

cs.LG2022★ 5 cited

Generalization-Memorization Machines

Zhen Wang, Yuan-Hai Shao

Classifying the training data correctly without over-fitting is one of the goals in machine learning. In this paper, we propose a generalization-memorization mechanism, including a…

cs.LG2022★ 3 cited

Regularized Bilinear Discriminant Analysis for Multivariate Time Series Data

Jianhua Zhao, Haiye Liang, Shulan Li +2

In recent years, the methods on matrix-based or bilinear discriminant analysis (BLDA) have received much attention. Despite their advantages, it has been reported that the traditio…

cs.LG2021★ 27 cited

Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints

Zhen Wang, Shan-Shan Wang, Lan Bai +2

In semi-supervised fuzzy clustering, this paper extends the traditional pairwise constraint (i.e., must-link or cannot-link) to fuzzy pairwise constraint. The fuzzy pairwise constr…

cs.LG2020★ 15 cited

Multiple Flat Projections for Cross-manifold Clustering

Lan Bai, Yuan-Hai Shao, Wei-Jie Chen +2

Cross-manifold clustering is a hard topic and many traditional clustering methods fail because of the cross-manifold structures. In this paper, we propose a Multiple Flat Projectio…

cs.LG2019★ 22 cited

A general model for plane-based clustering with loss function

Zhen Wang, Yuan-Hai Shao, Lan Bai +2

In this paper, we propose a general model for plane-based clustering. The general model contains many existing plane-based clustering methods, e.g., k-plane clustering (kPC), proxi…