Ying Tang

12 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2020 J jnl
Beyond EM: A faster Bayesian linear regression algorithm without matrix inversions.
Neurocomputing
Ying Tang
2019 J jnl
Fast orthogonal recurrent neural networks employing a novel parametrisation for orthogonal matrices.
Signal Process.
Ying Tang
2019 J jnl
Independent component analysis employing exponentials of sparse antisymmetric matrices.
Neurocomputing
Ying Tang
2019 J jnl
Iteration on single vector for extracting two extremal eigenpairs of symmetric matrices.
Neurocomputing
Ying Tang, Yuan Tang, Siyu Zhan, Yinrun Li
2019 J jnl
Two-hop walks indicate PageRank order.
Pattern Recognit.
Ying Tang
2016 J jnl
Pairwise comparisons in spectral ranking.
Neurocomputing
Ying Tang, Yinrun Li
2013 J jnl
Neural-Network-Based Approach for Extracting Eigenvectors and Eigenvalues of Real Normal Matrices and Some Extension to Real Matrices.
J. Appl. Math.
Xiongfei Zou, Ying Tang, Shirong Bu, Zhengxiang Luo, Shouming Zhong
2013 J jnl
New ICA Algorithms based on Special linear Group.
Int. J. Model. Simul. Sci. Comput.
Hang Tan, Xianhe Huang, Ying Tang, Huachun Tan
2012 — conf
A Novel Neural Network Approach for Computing Eigen-Pairs of Real Antisymmetric Matrices.
AICI
Hang Tan, Xianhe Huang, Huachun Tan, Ying Tang
2010 J jnl
Another neural network based approach for computing eigenvalues and eigenvectors of real skew-symmetric matrices.
Comput. Math. Appl.
Ying Tang, Jianping Li
2010 J jnl
Normalized natural gradient in independent component analysis.
Signal Process.
Ying Tang, Jianping Li
2010 J jnl
Notes on "Recurrent neural network model for computing largest and smallest generalized eigenvalue".
Neurocomputing
Ying Tang, Jianping Li