Xin Liu

38 papers A* 1Journal 37
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Graph-Partitioning Based Continuous Optimization Approach to Semi-supervised Clustering Problems.
CoRR
Wei Liu, Xin Liu, Michael K. Ng, Zaikun Zhang
2025 J jnl
CDOpt: a Python package for a class of Riemannian optimization.
Math. Program. Comput.
Nachuan Xiao, Xiaoyin Hu, Xin Liu, Kim-Chuan Toh
2025 J jnl
Learning-Rate-Free Momentum SGD with Reshuffling Converges in Nonsmooth Nonconvex Optimization.
J. Sci. Comput.
Xiaoyin Hu, Nachuan Xiao, Xin Liu, Kim-Chuan Toh
2024 J jnl
A Double Tracking Method for Optimization with Decentralized Generalized Orthogonality Constraints.
CoRR
Lei Wang, Nachuan Xiao, Xin Liu
2024 J jnl
A Penalty-Free Infeasible Approach for a Class of Nonsmooth Optimization Problems Over the Stiefel Manifold.
J. Sci. Comput.
Xin Liu, Nachuan Xiao, Yaxiang Yuan
2024 J jnl
Adam-family Methods for Nonsmooth Optimization with Convergence Guarantees.
J. Mach. Learn. Res.
Nachuan Xiao, Xiaoyin Hu, Xin Liu, Kim-Chuan Toh
2024 J jnl
BBGP-sDFO: Batch Bayesian and Gaussian Process Enhanced Subspace Derivative Free Optimization for High-Dimensional Analog Circuit Synthesis.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
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
2024 J jnl
Decentralized Stochastic Subgradient Methods for Nonsmooth Nonconvex Optimization.
CoRR
Siyuan Zhang, Nachuan Xiao, Xin Liu
2024 J jnl
Dissolving Constraints for Riemannian Optimization.
Math. Oper. Res.
Nachuan Xiao, Xin Liu, Kim-Chuan Toh
2024 A* conf
HiMOSS: A Novel High-dimensional Multi-objective Optimization Method via Adaptive Gradient-Based Subspace Sampling for Analog Circuit Sizing.
DAC
Tianchen Gu, Ruiyu Lyu, Zhaori Bi, Changhao Yan, Fan Yang, Dian Zhou, Tao Cui, Xin Liu, Zaikun Zhang, Xuan Zeng
2024 J jnl
Multi-view anomaly detection via hybrid instance-neighborhood aligning and cross-view reasoning.
Multim. Syst.
Luo Tian, Shu-Juan Peng, Xin Liu, Yewang Chen, Jianjia Cao
2024 J jnl
Seeking Consensus on Subspaces in Federated Principal Component Analysis.
J. Optim. Theory Appl.
Lei Wang, Xin Liu, Yin Zhang
2023 J jnl
A Global Optimization Approach for Multimarginal Optimal Transport Problems with Coulomb Cost.
SIAM J. Sci. Comput.
Yukuan Hu, Huajie Chen, Xin Liu
2023 J jnl
A communication-efficient and privacy-aware distributed algorithm for sparse PCA.
Comput. Optim. Appl.
Lei Wang, Xin Liu, Yin Zhang
2023 J jnl
Adam-family Methods for Nonsmooth Optimization with Convergence Guarantees.
CoRR
Nachuan Xiao, Xiaoyin Hu, Xin Liu, Kim-Chuan Toh
2023 J jnl
An Improved Unconstrained Approach for Bilevel Optimization.
SIAM J. Optim.
Xiaoyin Hu, Nachuan Xiao, Xin Liu, Kim-Chuan Toh
2023 J jnl
Stochastic Gauss-Newton Algorithms for Online PCA.
J. Sci. Comput.
Siyun Zhou, Xin Liu, Liwei Xu
2022 J jnl
A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints.
CoRR
Lei Wang, Xin Liu
2022 J jnl
A class of smooth exact penalty function methods for optimization problems with orthogonality constraints.
Optim. Methods Softw.
Nachuan Xiao, Xin Liu, Ya-Xiang Yuan
2022 J jnl
An Orthogonalization-Free Parallelizable Framework for All-Electron Calculations in Density Functional Theory.
SIAM J. Sci. Comput.
Bin Gao, Guanghui Hu, Yang Kuang, Xin Liu
2022 J jnl
CDOpt: A Python Package for a Class of Riemannian Optimization.
CoRR
Nachuan Xiao, Xiaoyin Hu, Xin Liu, Kim-Chuan Toh
2022 J jnl
Decentralized Optimization Over the Stiefel Manifold by an Approximate Augmented Lagrangian Function.
IEEE Trans. Signal Process.
Lei Wang, Xin Liu
2022 J jnl
Linearly Constrained Nonsmooth Optimization for Training Autoencoders.
SIAM J. Optim.
Wei Liu, Xin Liu, Xiaojun Chen
2021 J jnl
Decentralized Optimization Over the Stiefel Manifold by an Approximate Augmented Lagrangian Function.
CoRR
Lei Wang, Xin Liu
2021 J jnl
Exact Penalty Function for ℓ
SIAM J. Optim.
Nachuan Xiao, Xin Liu, Ya-Xiang Yuan
2020 J jnl
An Efficient Orthonormalization-Free Approach for Sparse Dictionary Learning and Dual Principal Component Pursuit.
Sensors
Xiaoyin Hu, Xin Liu
2020 J jnl
Preface.
Optim. Methods Softw.
Yu-Hong Dai, Xin Liu, Jiawang Nie, Zaiwen Wen
2020 J jnl
Symmetric rank-1 approximation of symmetric high-order tensors.
Optim. Methods Softw.
Leqin Wu, Xin Liu, Zaiwen Wen
2019 J jnl
Extended ADMM and BCD for nonseparable convex minimization models with quadratic coupling terms: convergence analysis and insights.
Math. Program.
Caihua Chen, Min Li, Xin Liu, Yinyu Ye
2019 J jnl
Globally Convergent Levenberg-Marquardt Method for Phase Retrieval.
IEEE Trans. Inf. Theory
Chao Ma, Xin Liu, Zaiwen Wen
2019 J jnl
On the Nonergodic Convergence Rate of an Inexact Augmented Lagrangian Framework for Composite Convex Programming.
Math. Oper. Res.
Ya-Feng Liu, Xin Liu, Shiqian Ma
2019 J jnl
Parallelizable Algorithms for Optimization Problems with Orthogonality Constraints.
SIAM J. Sci. Comput.
Bin Gao, Xin Liu, Ya-Xiang Yuan
2018 J jnl
A New First-Order Algorithmic Framework for Optimization Problems with Orthogonality Constraints.
SIAM J. Optim.
Bin Gao, Xin Liu, Xiaojun Chen, Ya-Xiang Yuan
2016 J jnl
Trace-Penalty Minimization for Large-Scale Eigenspace Computation.
J. Sci. Comput.
Zaiwen Wen, Chao Yang, Xin Liu, Yin Zhang
2015 J jnl
An Efficient Gauss-Newton Algorithm for Symmetric Low-Rank Product Matrix Approximations.
SIAM J. Optim.
Xin Liu, Zaiwen Wen, Yin Zhang
2015 J jnl
On the Analysis of the Discretized Kohn-Sham Density Functional Theory.
SIAM J. Numer. Anal.
Xin Liu, Zaiwen Wen, Xiao Wang, Michael Ulbrich, Yaxiang Yuan
2014 J jnl
On the Convergence of the Self-Consistent Field Iteration in Kohn-Sham Density Functional Theory.
SIAM J. Matrix Anal. Appl.
Xin Liu, Xiao Wang, Zaiwen Wen, Ya-Xiang Yuan
2013 J jnl
Limited Memory Block Krylov Subspace Optimization for Computing Dominant Singular Value Decompositions.
SIAM J. Sci. Comput.
Xin Liu, Zaiwen Wen, Yin Zhang