According to our database1, Yiyuan She authored at least 15 papers between 2004 and 2018.
Legend:Book In proceedings Article PhD thesis Other
Reinforced Robust Principal Component Pursuit.
IEEE Trans. Neural Netw. Learning Syst., 2018
Feature Selection with Annealing for Computer Vision and Big Data Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2017
Why Deep Learning Works: A Manifold Disentanglement Perspective.
IEEE Trans. Neural Netw. Learning Syst., 2016
Joint Association Graph Screening and Decomposition for Large-Scale Linear Dynamical Systems.
IEEE Trans. Signal Processing, 2015
Manifold-Regularized Selectable Factor Extraction for Semi-supervised Image Classification.
Proceedings of the British Machine Vision Conference 2015, 2015
Learning Topology and Dynamics of Large Recurrent Neural Networks.
IEEE Trans. Signal Processing, 2014
The Group Square-Root Lasso: Theoretical Properties and Fast Algorithms.
IEEE Trans. Information Theory, 2014
Stationary-sparse causality network learning.
Journal of Machine Learning Research, 2013
A comparison of typical ℓp minimization algorithms.
An iterative algorithm for fitting nonconvex penalized generalized linear models with grouped predictors.
Computational Statistics & Data Analysis, 2012
Penalized least squares regression methods and applications to neuroimaging.
Approximating Higher-Order Distances Using Random Projections.
Proceedings of the UAI 2010, 2010
Resolving deconvolution ambiguity in gene alternative splicing.
BMC Bioinformatics, 2009
Block TERM factorization of block matrices.
Science in China Series F: Information Sciences, 2004
Matrix Factorizations for Parallel Integer Transforms.
Proceedings of the 7th International Symposium on Parallel Architectures, 2004