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ORCIDYiyuan She
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2020 – today
- 2020
[j14]Yiyuan She
, Shao Tang, Qiaoya Zhang:
Indirect Gaussian Graph Learning Beyond Gaussianity. IEEE Trans. Netw. Sci. Eng. 7(3): 918-929 (2020)- [i4]Yangzi Guo, Yiyuan She, Adrian Barbu:
Training Efficient Network Architecture and Weights via Direct Sparsity Control. CoRR abs/2002.04301 (2020)
2010 – 2019
- 2018
- [j13]Pratik Prabhanjan Brahma, Yiyuan She, Shijie Li, Jiade Li, Dapeng Oliver Wu:
Reinforced Robust Principal Component Pursuit. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1525-1538 (2018) - 2017
- [j12]Adrian Barbu, Yiyuan She, Liangjing Ding, Gary Gramajo:
Feature Selection with Annealing for Computer Vision and Big Data Learning. IEEE Trans. Pattern Anal. Mach. Intell. 39(2): 272-286 (2017) - 2016
- [j11]Pratik Prabhanjan Brahma, Dapeng Wu, Yiyuan She:
Why Deep Learning Works: A Manifold Disentanglement Perspective. IEEE Trans. Neural Networks Learn. Syst. 27(10): 1997-2008 (2016) - 2015
- [j10]Yiyuan She, Yuejia He, Shijie Li, Dapeng Wu:
Joint Association Graph Screening and Decomposition for Large-Scale Linear Dynamical Systems. IEEE Trans. Signal Process. 63(2): 389-401 (2015) - [c3]Xin Shi, Chao Zhang, Fangyun Wei, Hongyang Zhang, Yiyuan She:
Manifold-Regularized Selectable Factor Extraction for Semi-supervised Image Classification. BMVC 2015: 132.1-132.11 - 2014
- [j9]Florentina Bunea, Johannes Lederer, Yiyuan She:
The Group Square-Root Lasso: Theoretical Properties and Fast Algorithms. IEEE Trans. Inf. Theory 60(2): 1313-1325 (2014) - [j8]Yiyuan She, Yuejia He, Dapeng Wu:
Learning Topology and Dynamics of Large Recurrent Neural Networks. IEEE Trans. Signal Process. 62(22): 5881-5891 (2014) - 2013
- [j7]Qin Lyu, Zhouchen Lin, Yiyuan She, Chao Zhang:
A comparison of typical ℓp minimization algorithms. Neurocomputing 119: 413-424 (2013) - [j6]Yuejia He, Yiyuan She, Dapeng Wu:
Stationary-sparse causality network learning. J. Mach. Learn. Res. 14(1): 3073-3104 (2013) - [i3]Adrian Barbu, Yiyuan She:
Fast Simultaneous Feature Selection and Learning. CoRR abs/1310.2880 (2013) - 2012
- [j5]Yiyuan She:
An iterative algorithm for fitting nonconvex penalized generalized linear models with grouped predictors. Comput. Stat. Data Anal. 56(10): 2976-2990 (2012) - [i2]Ping Li, Michael W. Mahoney, Yiyuan She:
Approximating Higher-Order Distances Using Random Projections. CoRR abs/1203.3492 (2012) - 2011
- [j4]Florentina Bunea, Yiyuan She, Hernando Ombao, Assawin Gongvatana, Kate Devlin, Ronald Cohen:
Penalized least squares regression methods and applications to neuroimaging. NeuroImage 55(4): 1519-1527 (2011) - 2010
- [c2]Ping Li, Michael W. Mahoney, Yiyuan She:
Approximating Higher-Order Distances Using Random Projections. UAI 2010: 312-321 - [i1]Yiyuan She, Art B. Owen:
Outlier Detection Using Nonconvex Penalized Regression. CoRR abs/1006.2592 (2010)
2000 – 2009
- 2009
- [j3]Yiyuan She, Earl Hubbell, Hui Wang:
Resolving deconvolution ambiguity in gene alternative splicing. BMC Bioinform. 10 (2009) - 2006
- [j2]Yiyuan She, Pengwei Hao, Yakup Paker:
Matrix Factorizations for Parallel Integer Transformation. IEEE Trans. Signal Process. 54(12): 4675-4684 (2006) - 2004
- [j1]Yiyuan She, Pengwei Hao:
Block TERM factorization of block matrices. Sci. China Ser. F Inf. Sci. 47(4): 421-436 (2004) - [c1]Yiyuan She, Pengwei Hao, Yakup Paker:
Matrix Factorizations for Parallel Integer Transforms. ISPAN 2004: 254-259
Coauthor Index
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