Shiqian Ma

According to our database, Shiqian Ma authored at least 90 papers between 2008 and 2024.

Collaborative distances:

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

2024

A New Inexact Proximal Linear Algorithm With Adaptive Stopping Criteria for Robust Phase Retrieval.

Zhong Zheng, Shiqian Ma, Lingzhou Xue

IEEE Trans. Signal Process., 2024

Nonsmooth Optimization over the Stiefel Manifold and Beyond: Proximal Gradient Method and Recent Variants.

Shixiang Chen, Shiqian Ma, Anthony Man-Cho So, Tong Zhang

SIAM Rev., 2024

Zeroth-Order Riemannian Averaging Stochastic Approximation Algorithms.

Jiaxiang Li, Krishnakumar Balasubramanian, Shiqian Ma

SIAM J. Optim., 2024

A Riemannian Smoothing Steepest Descent Method for Non-Lipschitz Optimization on Embedded Submanifolds of Rn.

Chao Zhang, Xiaojun Chen, Shiqian Ma

Math. Oper. Res., 2024

Fully First-Order Methods for Decentralized Bilevel Optimization.

Xiaoyu Wang, Xuxing Chen, Shiqian Ma, Tong Zhang

CoRR, 2024

Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applications.

Yue Huang, Zhaoxian Wu, Shiqian Ma, Qing Ling

CoRR, 2024

Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis.

Yifan Yang, Hao Ban, Minhui Huang, Shiqian Ma, Kaiyi Ji

CoRR, 2024

Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization.

Jiaxiang Li, Xuxing Chen, Shiqian Ma, Mingyi Hong

CoRR, 2024

Primal residual reduction with extended position based dynamics and hyperelasticity.

Yizhou Chen, Yushan Han, Jingyu Chen, Shiqian Ma, Ronald Fedkiw, Joseph Teran

Comput. Graph., 2024

Decentralized and Equitable Optimal Transport.

Ivan Lau, Shiqian Ma, César A. Uribe

Proceedings of the American Control Conference, 2024

2023

Zeroth-order algorithms for nonconvex-strongly-concave minimax problems with improved complexities.

Zhongruo Wang, Krishnakumar Balasubramanian, Shiqian Ma, Meisam Razaviyayn

J. Glob. Optim., November, 2023

Stochastic Zeroth-Order Riemannian Derivative Estimation and Optimization.

Jiaxiang Li, Krishnakumar Balasubramanian, Shiqian Ma

Math. Oper. Res., May, 2023

MLfus: A real-time forecasting architecture for low communication costs in electricity IoT based on ensemble learning.

Wenjing Li, Nan Zhang, Zhu Liu, Shiqian Ma, Huaqiang Ke, Jinfa Wang, Ting Chen

IET Commun., January, 2023

A Single-Loop Algorithm for Decentralized Bilevel Optimization.

Youran Dong, Shiqian Ma, Junfeng Yang, Chao Yin

CoRR, 2023

Primal Extended Position Based Dynamics for Hyperelasticity.

Yizhou Chen, Yushan Han, Jingyu Chen, Shiqian Ma, Ronald Fedkiw, Joseph Teran

Proceedings of the 16th ACM SIGGRAPH Conference on Motion, Interaction and Games, 2023

Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity.

Xuxing Chen, Minhui Huang, Shiqian Ma, Krishna Balasubramanian

Proceedings of the International Conference on Machine Learning, 2023

2022

Adaptive composite frequency control of power systems using reinforcement learning.

Chaoxu Mu, Ke Wang, Shiqian Ma, Zhiqiang Chong, Zhen Ni

CAAI Trans. Intell. Technol., December, 2022

A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis.

Zhongruo Wang, Bingyuan Liu, Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hongyu Zhao

INFORMS J. Optim., April, 2022

Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold.

Bokun Wang, Shiqian Ma, Lingzhou Xue

J. Mach. Learn. Res., 2022

A Riemannian ADMM.

Jiaxiang Li, Shiqian Ma, Tejes Srivastava

CoRR, 2022

Decentralized Stochastic Bilevel Optimization with Improved Per-Iteration Complexity.

Xuxing Chen, Minhui Huang, Shiqian Ma, Krishnakumar Balasubramanian

CoRR, 2022

Federated Learning on Riemannian Manifolds.

Jiaxiang Li, Shiqian Ma

CoRR, 2022

Efficiently Escaping Saddle Points in Bilevel Optimization.

Minhui Huang, Kaiyi Ji, Shiqian Ma, Lifeng Lai

CoRR, 2022

Day-ahead optimal dispatching of hybrid power system based on deep reinforcement learning.

Yakun Shi, Chaoxu Mu, Yi Hao, Shiqian Ma, Na Xu, Zhiqiang Chong

Cogn. Comput. Syst., 2022

2021

Robust Low-Rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method.

Minhui Huang, Shiqian Ma, Lifeng Lai

IEEE Trans. Signal Process., 2021

Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning.

Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So

IEEE Trans. Signal Process., 2021

An ADMM-based interior-point method for large-scale linear programming.

Tianyi Lin, Shiqian Ma, Yinyu Ye, Shuzhong Zhang

Optim. Methods Softw., 2021

On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport.

Minhui Huang, Shiqian Ma, Lifeng Lai

CoRR, 2021

A Riemannian smoothing steepest descent method for non-Lipschitz optimization on submanifolds.

Chao Zhang, Xiaojun Chen, Shiqian Ma

CoRR, 2021

Robust Speaker Extraction Network Based on Iterative Refined Adaptation.

Chengyun Deng, Shiqian Ma, Yongtao Sha, Yi Zhang, Hui Zhang, Hui Song, Fei Wang

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Projection Robust Wasserstein Barycenters.

Minhui Huang, Shiqian Ma, Lifeng Lai

Proceedings of the 38th International Conference on Machine Learning, 2021

A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance.

Minhui Huang, Shiqian Ma, Lifeng Lai

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

An Alternating Manifold Proximal Gradient Method for Sparse Principal Component Analysis and Sparse Canonical Correlation Analysis.

Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hui Zou

INFORMS J. Optim., July, 2020

Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold.

Shixiang Chen, Shiqian Ma, Anthony Man-Cho So, Tong Zhang

SIAM J. Optim., 2020

Accelerated dual-averaging primal-dual method for composite convex minimization.

Conghui Tan, Yuqiu Qian, Shiqian Ma, Tong Zhang

Optim. Methods Softw., 2020

Primal-dual optimization algorithms over Riemannian manifolds: an iteration complexity analysis.

Junyu Zhang, Shiqian Ma, Shuzhong Zhang

Math. Program., 2020

A Block Successive Upper-Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization.

Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyayn, Shiqian Ma, Zhi-Quan Luo

Math. Oper. Res., 2020

Zeroth-order Optimization on Riemannian Manifolds.

Jiaxiang Li, Krishnakumar Balasubramanian, Shiqian Ma

CoRR, 2020

Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities.

Zhongruo Wang, Krishnakumar Balasubramanian, Shiqian Ma, Meisam Razaviyayn

CoRR, 2020

Generative Adversarial Network Based Acoustic Echo Cancellation.

Yi Zhang, Chengyun Deng, Shiqian Ma, Yongtao Sha, Hui Song, Xiangang Li

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Conv-TasSAN: Separative Adversarial Network Based on Conv-TasNet.

Chengyun Deng, Yi Zhang, Shiqian Ma, Yongtao Sha, Hui Song, Xiangang Li

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

A User-Oriented Pricing Design for Demand Response in Smart Grid.

Yanglin Zhou, Lin Cheng, Song Ci, Yang Yang, Shiqian Ma

Wirel. Commun. Mob. Comput., 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

An Alternating Manifold Proximal Gradient Method for Sparse PCA and Sparse CCA.

Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hui Zou

CoRR, 2019

Structured nonconvex and nonsmooth optimization: algorithms and iteration complexity analysis.

Bo Jiang, Tianyi Lin, Shiqian Ma, Shuzhong Zhang

Comput. Optim. Appl., 2019

Software-in-the-Loop Planning of Fast Charging Station based on GNN-Accelerated Ordinal Optimization.

Peidong Xu, Jun Zhang, Zhou Fang, Xudong Wang, Guodong Li, Shiqian Ma

Proceedings of the 2019 IEEE International Conference on Service Operations and Logistics, 2019

2018

ADMM for High-Dimensional Sparse Penalized Quantile Regression.

Yuwen Gu, Jun Fan, Lingchen Kong, Shiqian Ma, Hui Zou

Technometrics, 2018

Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization.

Necdet Serhat Aybat, Zi Wang, Tianyi Lin, Shiqian Ma

IEEE Trans. Autom. Control., 2018

Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants.

Shiqian Ma, Necdet Serhat Aybat

Proc. IEEE, 2018

Low-M-Rank Tensor Completion and Robust Tensor PCA.

Bo Jiang, Shiqian Ma, Shuzhong Zhang

IEEE J. Sel. Top. Signal Process., 2018

Global Convergence of Unmodified 3-Block ADMM for a Class of Convex Minimization Problems.

Tianyi Lin, Shiqian Ma, Shuzhong Zhang

J. Sci. Comput., 2018

A novel design framework for smart operating robot in power system.

Qiang Wang, Xiaojing Yang, Zhigang Huang, Shiqian Ma, Qiao Li, David Wenzhong Gao, Fei-Yue Wang

IEEE CAA J. Autom. Sinica, 2018

Highly accurate model for prediction of lung nodule malignancy with CT scans.

Jason L. Causey, Junyu Zhang, Shiqian Ma, Bo Jiang, Jake A. Qualls, David G. Politte, Fred W. Prior, Shuzhong Zhang, Xiuzhen Huang

CoRR, 2018

Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity.

Conghui Tan, Tong Zhang, Shiqian Ma, Ji Liu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization.

Xiao Wang, Shiqian Ma, Donald Goldfarb, Wei Liu

SIAM J. Optim., 2017

Penalty methods with stochastic approximation for stochastic nonlinear programming.

Xiao Wang, Shiqian Ma, Ya-Xiang Yuan

Math. Comput., 2017

An Extragradient-Based Alternating Direction Method for Convex Minimization.

Tianyi Lin, Shiqian Ma, Shuzhong Zhang

Found. Comput. Math., 2017

Geometric Descent Method for Convex Composite Minimization.

Shixiang Chen, Shiqian Ma, Wei Liu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization.

Li Shen, Wei Liu, Ganzhao Yuan, Shiqian Ma

Proceedings of the 34th International Conference on Machine Learning, 2017

Adaptive Proximal Average Approximation for Composite Convex Minimization.

Li Shen, Wei Liu, Junzhou Huang, Yu-Gang Jiang, Shiqian Ma

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

A smoothing SQP framework for a class of composite L_q minimization over polyhedron.

Ya-Feng Liu, Shiqian Ma, Yu-Hong Dai, Shuzhong Zhang

Math. Program., 2016

Alternating Proximal Gradient Method for Convex Minimization.

Shiqian Ma

J. Sci. Comput., 2016

Iteration Complexity Analysis of Multi-block ADMM for a Family of Convex Minimization Without Strong Convexity.

Tianyi Lin, Shiqian Ma, Shuzhong Zhang

J. Sci. Comput., 2016

Geometric descent method for convex composite minimization.

Shixiang Chen, Shiqian Ma

CoRR, 2016

Barzilai-Borwein Step Size for Stochastic Gradient Descent.

Conghui Tan, Shiqian Ma, Yu-Hong Dai, Yuqiu Qian

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Tensor models: solution methods and applications.

Shiqian Ma, Bo Jiang, Xiuzhen Huang, Shuzhong Zhang

Proceedings of the Big Data over Networks, 2016

2015

Joint Power and Admission Control: Non-Convex L_q Approximation and An Effective Polynomial Time Deflation Approach.

Ya-Feng Liu, Yu-Hong Dai, Shiqian Ma

IEEE Trans. Signal Process., 2015

On the Global Linear Convergence of the ADMM with MultiBlock Variables.

Tianyi Lin, Shiqian Ma, Shuzhong Zhang

SIAM J. Optim., 2015

A General Inertial Proximal Point Algorithm for Mixed Variational Inequality Problem.

Caihua Chen, Shiqian Ma, Junfeng Yang

SIAM J. Optim., 2015

Inertial Proximal ADMM for Linearly Constrained Separable Convex Optimization.

Caihua Chen, Raymond H. Chan, Shiqian Ma, Junfeng Yang

SIAM J. Imaging Sci., 2015

An alternating direction method for total variation denoising.

Zhiwei (Tony) Qin, Donald Goldfarb, Shiqian Ma

Optim. Methods Softw., 2015

Tensor principal component analysis via convex optimization.

Bo Jiang, Shiqian Ma, Shuzhong Zhang

Math. Program., 2015

Sparse Subspace Clustering for Incomplete Images.

Xiao Wen, Linbo Qiao, Shiqian Ma, Wei Liu, Hong Cheng

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Low-Rank Similarity Metric Learning in High Dimensions.

Wei Liu, Cun Mu, Rongrong Ji, Shiqian Ma, John R. Smith, Shih-Fu Chang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Efficient algorithms for robust and stable principal component pursuit problems.

Necdet Serhat Aybat, Donald Goldfarb, Shiqian Ma

Comput. Optim. Appl., 2014

A block coordinate descent method of multipliers: Convergence analysis and applications.

Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyayn, Shiqian Ma, Zhi-Quan Luo

Proceedings of the IEEE International Conference on Acoustics, 2014

Doubly Regularized Portfolio with Risk Minimization.

Weiwei Shen, Jun Wang, Shiqian Ma

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection.

Shiqian Ma, Lingzhou Xue, Hui Zou

Neural Comput., 2013

Fast alternating linearization methods for minimizing the sum of two convex functions.

Donald Goldfarb, Shiqian Ma, Katya Scheinberg

Math. Program., 2013

Accelerated Linearized Bregman Method.

Bo Huang, Shiqian Ma, Donald Goldfarb

J. Sci. Comput., 2013

Solving Multiple-Block Separable Convex Minimization Problems Using Two-Block Alternating Direction Method of Multipliers.

Xiangfeng Wang, Mingyi Hong, Shiqian Ma, Zhi-Quan Luo

CoRR, 2013

Joint Power and Admission Control: Non-Convex Approximation and An Efficient Polynomial Time Deflation Approach.

Ya-Feng Liu, Yu-Hong Dai, Shiqian Ma

CoRR, 2013

2012

Fast Multiple-Splitting Algorithms for Convex Optimization.

Donald Goldfarb, Shiqian Ma

SIAM J. Optim., 2012

2011

Fixed point and Bregman iterative methods for matrix rank minimization.

Shiqian Ma, Donald Goldfarb, Lifeng Chen

Math. Program., 2011

Convergence of Fixed-Point Continuation Algorithms for Matrix Rank Minimization.

Donald Goldfarb, Shiqian Ma

Found. Comput. Math., 2011

2010

Sparse Inverse Covariance Selection via Alternating Linearization Methods.

Katya Scheinberg, Shiqian Ma, Donald Goldfarb

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Semi-supervised sparse metric learning using alternating linearization optimization.

Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, Peng Liu

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

A fast subspace method for image deblurring.

Yanfei Wang, Shiqian Ma

Appl. Math. Comput., 2009

Solving low-rank matrix completion problems efficiently.

Donald Goldfarb, Shiqian Ma, Zaiwen Wen

Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008

An efficient algorithm for compressed MR imaging using total variation and wavelets.

Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008