Xin Liu

According to our database, Xin Liu authored at least 24 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BBGP-sDFO: Batch Bayesian and Gaussian Process Enhanced Subspace Derivative Free Optimization for High-Dimensional Analog Circuit Synthesis.

Tianchen Gu, Wangzhen Li, Aidong Zhao, Zhaori Bi, Xudong Li, Fan Yang, Changhao Yan, Wenchuang Walter Hu, Dian Zhou, Tao Cui, Xin Liu, Zaikun Zhang, Xuan Zeng

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2024

2023

An Improved Unconstrained Approach for Bilevel Optimization.

Xiaoyin Hu, Nachuan Xiao, Xin Liu, Kim-Chuan Toh

SIAM J. Optim., December, 2023

Stochastic Gauss-Newton Algorithms for Online PCA.

Siyun Zhou, Xin Liu, Liwei Xu

J. Sci. Comput., September, 2023

A communication-efficient and privacy-aware distributed algorithm for sparse PCA.

Lei Wang, Xin Liu, Yin Zhang

Comput. Optim. Appl., July, 2023

A Global Optimization Approach for Multimarginal Optimal Transport Problems with Coulomb Cost.

Yukuan Hu, Huajie Chen, Xin Liu

SIAM J. Sci. Comput., June, 2023

2022

Linearly Constrained Nonsmooth Optimization for Training Autoencoders.

Wei Liu, Xin Liu, Xiaojun Chen

SIAM J. Optim., September, 2022

Decentralized Optimization Over the Stiefel Manifold by an Approximate Augmented Lagrangian Function.

Lei Wang, Xin Liu

IEEE Trans. Signal Process., 2022

An Orthogonalization-Free Parallelizable Framework for All-Electron Calculations in Density Functional Theory.

Bin Gao, Guanghui Hu, Yang Kuang, Xin Liu

SIAM J. Sci. Comput., 2022

A class of smooth exact penalty function methods for optimization problems with orthogonality constraints.

Nachuan Xiao, Xin Liu, Ya-Xiang Yuan

Optim. Methods Softw., 2022

A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints.

Lei Wang, Xin Liu

CoRR, 2022

2021

Exact Penalty Function for ℓ_{2, 1} Norm Minimization over the Stiefel Manifold.

Nachuan Xiao, Xin Liu, Ya-Xiang Yuan

SIAM J. Optim., 2021

2020

An Efficient Orthonormalization-Free Approach for Sparse Dictionary Learning and Dual Principal Component Pursuit.

Xiaoyin Hu, Xin Liu

Sensors, 2020

Symmetric rank-1 approximation of symmetric high-order tensors.

Leqin Wu, Xin Liu, Zaiwen Wen

Optim. Methods Softw., 2020

Preface.

Yu-Hong Dai, Xin Liu, Jiawang Nie, Zaiwen Wen

Optim. Methods Softw., 2020

2019

Globally Convergent Levenberg-Marquardt Method for Phase Retrieval.

Chao Ma, Xin Liu, Zaiwen Wen

IEEE Trans. Inf. Theory, 2019

Parallelizable Algorithms for Optimization Problems with Orthogonality Constraints.

Bin Gao, Xin Liu, Ya-Xiang Yuan

SIAM J. Sci. Comput., 2019

Extended ADMM and BCD for nonseparable convex minimization models with quadratic coupling terms: convergence analysis and insights.

Caihua Chen, Min Li, Xin Liu, Yinyu Ye

Math. Program., 2019

On the Nonergodic Convergence Rate of an Inexact Augmented Lagrangian Framework for Composite Convex Programming.

Ya-Feng Liu, Xin Liu, Shiqian Ma

Math. Oper. Res., 2019

2018

A New First-Order Algorithmic Framework for Optimization Problems with Orthogonality Constraints.

Bin Gao, Xin Liu, Xiaojun Chen, Ya-Xiang Yuan

SIAM J. Optim., 2018

2016

Trace-Penalty Minimization for Large-Scale Eigenspace Computation.

Zaiwen Wen, Chao Yang, Xin Liu, Yin Zhang

J. Sci. Comput., 2016

2015

On the Analysis of the Discretized Kohn-Sham Density Functional Theory.

Xin Liu, Zaiwen Wen, Xiao Wang, Michael Ulbrich, Yaxiang Yuan

SIAM J. Numer. Anal., 2015

An Efficient Gauss-Newton Algorithm for Symmetric Low-Rank Product Matrix Approximations.

Xin Liu, Zaiwen Wen, Yin Zhang

SIAM J. Optim., 2015

2014

On the Convergence of the Self-Consistent Field Iteration in Kohn-Sham Density Functional Theory.

Xin Liu, Xiao Wang, Zaiwen Wen, Ya-Xiang Yuan

SIAM J. Matrix Anal. Appl., 2014

2013

Limited Memory Block Krylov Subspace Optimization for Computing Dominant Singular Value Decompositions.

Xin Liu, Zaiwen Wen, Yin Zhang

SIAM J. Sci. Comput., 2013