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An alternating minimization method for robust principal component analysis 期刊论文
OPTIMIZATION METHODS & SOFTWARE, 2019, 卷号: 34, 期号: 6, 页码: 1251-1276
作者:  Shen, Yuan;  Xu, Hongyu;  Liu, Xin
收藏  |  浏览/下载：219/0  |  提交时间：2020/01/10
Robust principal component analysis  symmetric low rank product minimization  singular value decomposition  alternating minimization  
Max-Min Fairness User Scheduling and Power Allocation in Full-Duplex OFDMA Systems 期刊论文
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2019, 卷号: 18, 期号: 6, 页码: 3078-3092
作者:  Zhang, Xiaozhou;  Chang, Tsung-Hui;  Liu, Ya-Feng;  Shen, Chao;  Zhu, Gang
收藏  |  浏览/下载：175/0  |  提交时间：2020/01/10
Full-duplex  OFDMA  max-min fairness  user pairing  two-time-scale optimization  
On Generalizations of p-Sets and their Applications 期刊论文
NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS, 2019, 卷号: 12, 期号: 2, 页码: 453-466
作者:  Zhou, Heng;  Xu, Zhiqiang
收藏  |  浏览/下载：174/0  |  提交时间：2019/03/05
p-set  deterministic sampling  numerical integral  exponential sum  
On the Nonergodic Convergence Rate of an Inexact Augmented Lagrangian Framework for Composite Convex Programming 期刊论文
MATHEMATICS OF OPERATIONS RESEARCH, 2019, 卷号: 44, 期号: 2, 页码: 632-650
作者:  Liu, Ya-Feng;  Liu, Xin;  Ma, Shiqian
收藏  |  浏览/下载：197/0  |  提交时间：2020/01/10
inexact augmented Lagrangian framework  nonergodic convergence rate  composite convex programming  
Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 卷号: 381, 页码: 110-128
作者:  Yan, Liang;  Zhou, Tao
收藏  |  浏览/下载：180/0  |  提交时间：2019/03/11
Bayesian inverse problems  Multi-fidelity polynomial chaos  Surrogate modeling  Markov chain Monte Carlo  
Data-driven polynomial chaos expansions: A weighted least-square approximation 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 卷号: 381, 页码: 129-145
作者:  Guo, Ling;  Liu, Yongle;  Zhou, Tao
收藏  |  浏览/下载：186/0  |  提交时间：2019/03/11
Uncertainty quantification  Data-driven polynomial chaos expansions  Weighted least-squares  Equilibrium measure  
TIGHTNESS OF A NEW AND ENHANCED SEMIDEFINITE RELAXATION FOR MIMO DETECTION 期刊论文
SIAM JOURNAL ON OPTIMIZATION, 2019, 卷号: 29, 期号: 1, 页码: 719-742
作者:  Lu, Cheng;  Liu, Ya-Feng;  Zhang, Wei-Qiang;  Zhang, Shuzhong
收藏  |  浏览/下载：184/0  |  提交时间：2020/01/10
complex quadratic programming  semidefinite relaxation  MIMO detection  tight relaxation  
A Gradient-Enhanced l(1) Approach for the Recovery of Sparse Trigonometric Polynomials 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2018, 卷号: 24, 期号: 1, 页码: 286-308
作者:  Xu, Zhiqiang;  Zhou, Tao
收藏  |  浏览/下载：181/0  |  提交时间：2019/03/05
Gradient-enhanced l(1) minimization  compressed sensing  sparse Fourier expansions  restricted isometry property  mutual incoherence  
Parareal algorithms with local time-integrators for time-fractional differential equations 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2018, 卷号: 358, 页码: 135-149
作者:  Wu, Shu-Lin;  Zhou, Tao
收藏  |  浏览/下载：171/0  |  提交时间：2018/07/30
Parareal  Time-fractional differential equations  Local time-integrators  
A NEW FIRST-ORDER ALGORITHMIC FRAMEWORK FOR OPTIMIZATION PROBLEMS WITH ORTHOGONALITY CONSTRAINTS 期刊论文
SIAM JOURNAL ON OPTIMIZATION, 2018, 卷号: 28, 期号: 1, 页码: 302-332
作者:  Gao, Bin;  Liu, Xin;  Chen, Xiaojun;  Yuan, Ya-Xiang
收藏  |  浏览/下载：173/0  |  提交时间：2018/07/30
orthogonality constraint  Stiefel manifold  Householder transformation  gradient projection  block coordinate descent