21 citations · 78 across the 16 of their papers we have counts for
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stat.ML2020★ 3 cited
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis
Zhongruo Wang, Bingyuan Liu, Shixiang Chen +3
Spectral clustering is one of the fundamental unsupervised learning methods widely used in data analysis. Sparse spectral clustering (SSC) imposes sparsity to the spectral clusteri…
math.OC2020★ 2 cited
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning
Shixiang Chen, Zengde Deng, Shiqian Ma +1
We consider the problem of maximizing the norm of a linear map over the sphere, which arises in various machine learning applications such as orthogonal dictionary learnin…