Yiyuan She

Orcid: 0000-0002-5110-3179

According to our database1, Yiyuan She authored at least 27 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Reducing Storage Requirement in Blockchain via Node-Oriented Block Placement.
IEEE Trans. Netw. Sci. Eng., 2024

2023
Slow Kill for Big Data Learning.
IEEE Trans. Inf. Theory, September, 2023

Slow Kill for Big Data Learning.
CoRR, 2023

2022
On Generalization and Computation of Tukey's Depth: Part II.
J. Data Sci. Stat. Vis., 2022

On Generalization and Computation of Tukey's Depth: Part I.
J. Data Sci. Stat. Vis., 2022

2021
Supervised Multivariate Learning with Simultaneous Feature Auto-grouping and Dimension Reduction.
CoRR, 2021

Network Pruning via Annealing and Direct Sparsity Control.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Indirect Gaussian Graph Learning Beyond Gaussianity.
IEEE Trans. Netw. Sci. Eng., 2020

Training Efficient Network Architecture and Weights via Direct Sparsity Control.
CoRR, 2020

2018
Reinforced Robust Principal Component Pursuit.
IEEE Trans. Neural Networks Learn. Syst., 2018

2017
Feature Selection with Annealing for Computer Vision and Big Data Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

2016
Why Deep Learning Works: A Manifold Disentanglement Perspective.
IEEE Trans. Neural Networks Learn. Syst., 2016

2015
Joint Association Graph Screening and Decomposition for Large-Scale Linear Dynamical Systems.
IEEE Trans. Signal Process., 2015

Manifold-Regularized Selectable Factor Extraction for Semi-supervised Image Classification.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Learning Topology and Dynamics of Large Recurrent Neural Networks.
IEEE Trans. Signal Process., 2014

The Group Square-Root Lasso: Theoretical Properties and Fast Algorithms.
IEEE Trans. Inf. Theory, 2014

2013
Stationary-sparse causality network learning.
J. Mach. Learn. Res., 2013

A comparison of typical ℓ<sub>p</sub> minimization algorithms.
Neurocomputing, 2013

Fast Simultaneous Feature Selection and Learning.
CoRR, 2013

2012
An iterative algorithm for fitting nonconvex penalized generalized linear models with grouped predictors.
Comput. Stat. Data Anal., 2012

2011
Penalized least squares regression methods and applications to neuroimaging.
NeuroImage, 2011

2010
Outlier Detection Using Nonconvex Penalized Regression
CoRR, 2010

Approximating Higher-Order Distances Using Random Projections.
Proceedings of the UAI 2010, 2010

2009
Resolving deconvolution ambiguity in gene alternative splicing.
BMC Bioinform., 2009

2006
Matrix Factorizations for Parallel Integer Transformation.
IEEE Trans. Signal Process., 2006

2004
Block TERM factorization of block matrices.
Sci. China Ser. F Inf. Sci., 2004

Matrix Factorizations for Parallel Integer Transforms.
Proceedings of the 7th International Symposium on Parallel Architectures, 2004


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