Matrix Factorizations for Parallel Integer Transforms. - Yiyuan She; Pengwei Hao; Yakup Paker (ISPAN, 2004)

Block TERM factorization of block matrices. - Yiyuan She; Pengwei Hao (Sci. China Ser. F Inf. Sci., 2004)

Matrix Factorizations for Parallel Integer Transformation. - Yiyuan She; Pengwei Hao; Yakup Paker (IEEE Trans. Signal Process., 2006)

Resolving deconvolution ambiguity in gene alternative splicing. - Yiyuan She; Earl Hubbell; Hui Wang 007 (BMC Bioinform., 2009)

Approximating Higher-Order Distances Using Random Projections. - Ping Li 001; Michael W. Mahoney; Yiyuan She (UAI, 2010)

Outlier Detection Using Nonconvex Penalized Regression - Yiyuan She; Art B. Owen (CoRR, 2010)

Penalized least squares regression methods and applications to neuroimaging. - Florentina Bunea; Yiyuan She; Hernando Ombao; Assawin Gongvatana; Kate Devlin; Ronald Cohen (NeuroImage, 2011)

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

Fast Simultaneous Feature Selection and Learning. - Adrian Barbu; Yiyuan She (CoRR, 2013)

A comparison of typical ℓp minimization algorithms. - Qin Lyu; Zhouchen Lin; Yiyuan She; Chao Zhang 001 (Neurocomputing, 2013)

Stationary-sparse causality network learning. - Yuejia He; Yiyuan She; Dapeng Wu 001 (J. Mach. Learn. Res., 2013)

The Group Square-Root Lasso: Theoretical Properties and Fast Algorithms. - Florentina Bunea; Johannes Lederer; Yiyuan She (IEEE Trans. Inf. Theory, 2014)

Learning Topology and Dynamics of Large Recurrent Neural Networks. - Yiyuan She; Yuejia He; Dapeng Wu 001 (IEEE Trans. Signal Process., 2014)

Manifold-Regularized Selectable Factor Extraction for Semi-supervised Image Classification. - Xin Shi; Chao Zhang 001; Fangyun Wei; Hongyang Zhang 001; Yiyuan She (BMVC, 2015)

Joint Association Graph Screening and Decomposition for Large-Scale Linear Dynamical Systems. - Yiyuan She; Yuejia He; Shijie Li; Dapeng Wu 001 (IEEE Trans. Signal Process., 2015)

Why Deep Learning Works: A Manifold Disentanglement Perspective. - Pratik Prabhanjan Brahma; Dapeng Wu 001; Yiyuan She (IEEE Trans. Neural Networks Learn. Syst., 2016)

Feature Selection with Annealing for Computer Vision and Big Data Learning. - Adrian Barbu; Yiyuan She; Liangjing Ding; Gary Gramajo (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Reinforced Robust Principal Component Pursuit. - Pratik Prabhanjan Brahma; Yiyuan She; Shijie Li; Jiade Li; Dapeng Oliver Wu (IEEE Trans. Neural Networks Learn. Syst., 2018)

Training Efficient Network Architecture and Weights via Direct Sparsity Control. - Yangzi Guo; Yiyuan She; Adrian Barbu (CoRR, 2020)

Indirect Gaussian Graph Learning Beyond Gaussianity. - Yiyuan She; Shao Tang; Qiaoya Zhang (IEEE Trans. Netw. Sci. Eng., 2020)

Network Pruning via Annealing and Direct Sparsity Control. - Yangzi Guo; Yiyuan She; Adrian Barbu (IJCNN, 2021)

Supervised Multivariate Learning with Simultaneous Feature Auto-grouping and Dimension Reduction. - Yiyuan She; Jiahui Shen; Chao Zhang (CoRR, 2021)

On Generalization and Computation of Tukey's Depth: Part I. - Yiyuan She; Shao Tang; Jingze Liu (J. Data Sci. Stat. Vis., 2022)

On Generalization and Computation of Tukey's Depth: Part II. - Yiyuan She; Shao Tang; Jingze Liu (J. Data Sci. Stat. Vis., 2022)

Slow Kill for Big Data Learning. - Yiyuan She; Jianhui Shen; Adrian Barbu (CoRR, 2023)

Slow Kill for Big Data Learning. - Yiyuan She; Jiahui Shen; Adrian Barbu (IEEE Trans. Inf. Theory, 2023)

Reducing Storage Requirement in Blockchain via Node-Oriented Block Placement. - Bo Yin 004; Jiaqi Li; Yiyuan She; Xuetao Wei (IEEE Trans. Netw. Sci. Eng., 2024)

Nonuniform Sampling Pattern Design for Compressed Spectrum Sensing in Mobile Cognitive Radio Networks. - Zihang Song; Yiyuan She; Jian Yang 021; Jinbo Peng; Yue Gao 001; Rahim Tafazolli (IEEE Trans. Mob. Comput., 2024)