1 citations · 1 across the 6 of their papers we have counts for
6 papers
On Regularized Sparse Logistic Regression
Mengyuan Zhang, Kai Liu
Sparse logistic regression is for classification and feature selection simultaneously. Although many studies have been done to solve -regularized logistic regression, there…
MindOpt Tuner: Boost the Performance of Numerical Software by Automatic Parameter Tuning
Mengyuan Zhang, Wotao Yin, Mengchang Wang +7
Numerical software is usually shipped with built-in hyperparameters. By carefully tuning those hyperparameters, significant performance enhancements can be achieved for specific ap…
Strictly Low Rank Constraint Optimization -- An Asymptotically Method
Mengyuan Zhang, Kai Liu
We study a class of non-convex and non-smooth problems with \textit{rank} regularization to promote sparsity in optimal solution. We propose to apply the proximal gradient descent…
Multi-Task Learning with Prior Information
Mengyuan Zhang, Kai Liu
Multi-task learning aims to boost the generalization performance of multiple related tasks simultaneously by leveraging information contained in those tasks. In this paper, we prop…
Rethinking Symmetric Matrix Factorization: A More General and Better Clustering Perspective
Mengyuan Zhang, Kai Liu
Nonnegative matrix factorization (NMF) is widely used for clustering with strong interpretability. Among general NMF problems, symmetric NMF is a special one that plays an importan…
Enriched Robust Multi-View Kernel Subspace Clustering
Mengyuan Zhang, Kai Liu
Subspace clustering is to find underlying low-dimensional subspaces and cluster the data points correctly. In this paper, we propose a novel multi-view subspace clustering method.…