An efficient algorithm for compressed MR imaging using total variation and wavelets. - Shiqian Ma; Wotao Yin; Yin Zhang 010; Amit Chakraborty (CVPR, 2008)

Solving low-rank matrix completion problems efficiently. - Donald Goldfarb; Shiqian Ma; Zaiwen Wen (Allerton, 2009)

A fast subspace method for image deblurring. - Yanfei Wang; Shiqian Ma (Appl. Math. Comput., 2009)

Semi-supervised sparse metric learning using alternating linearization optimization. - Wei Liu 005; Shiqian Ma; Dacheng Tao; Jianzhuang Liu; Peng Liu (KDD, 2010)

Sparse Inverse Covariance Selection via Alternating Linearization Methods. - Katya Scheinberg; Shiqian Ma; Donald Goldfarb (NIPS, 2010)

Convergence of Fixed-Point Continuation Algorithms for Matrix Rank Minimization. - Donald Goldfarb; Shiqian Ma (Found. Comput. Math., 2011)

Fixed point and Bregman iterative methods for matrix rank minimization. - Shiqian Ma; Donald Goldfarb; Lifeng Chen (Math. Program., 2011)

Fast Multiple-Splitting Algorithms for Convex Optimization. - Donald Goldfarb; Shiqian Ma (SIAM J. Optim., 2012)

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)

Solving Multiple-Block Separable Convex Minimization Problems Using Two-Block Alternating Direction Method of Multipliers. - Xiangfeng Wang; Mingyi Hong 001; Shiqian Ma; Zhi-Quan Luo (CoRR, 2013)

Accelerated Linearized Bregman Method. - Bo Huang; Shiqian Ma; Donald Goldfarb (J. Sci. Comput., 2013)

Fast alternating linearization methods for minimizing the sum of two convex functions. - Donald Goldfarb; Shiqian Ma; Katya Scheinberg (Math. Program., 2013)

Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection. - Shiqian Ma; Lingzhou Xue; Hui Zou (Neural Comput., 2013)

Doubly Regularized Portfolio with Risk Minimization. - Weiwei Shen; Jun Wang; Shiqian Ma (AAAI, 2014)

A block coordinate descent method of multipliers: Convergence analysis and applications. - Mingyi Hong 001; Tsung-Hui Chang; Xiangfeng Wang; Meisam Razaviyayn; Shiqian Ma; Zhi-Quan Luo (ICASSP, 2014)

Efficient algorithms for robust and stable principal component pursuit problems. - Necdet Serhat Aybat; Donald Goldfarb; Shiqian Ma (Comput. Optim. Appl., 2014)

Low-Rank Similarity Metric Learning in High Dimensions. - Wei Liu 005; Cun Mu; Rongrong Ji; Shiqian Ma; John R. Smith; Shih-Fu Chang (AAAI, 2015)

Sparse Subspace Clustering for Incomplete Images. - Xiao Wen; Linbo Qiao; Shiqian Ma; Wei Liu 005; Hong Cheng 001 (ICCV Workshops, 2015)

Tensor principal component analysis via convex optimization. - Bo Jiang 007; Shiqian Ma; Shuzhong Zhang (Math. Program., 2015)

An alternating direction method for total variation denoising. - Zhiwei (Tony) Qin; Donald Goldfarb; Shiqian Ma (Optim. Methods Softw., 2015)

Inertial Proximal ADMM for Linearly Constrained Separable Convex Optimization. - Caihua Chen; Raymond H. Chan; Shiqian Ma; Junfeng Yang (SIAM J. Imaging Sci., 2015)

A General Inertial Proximal Point Algorithm for Mixed Variational Inequality Problem. - Caihua Chen; Shiqian Ma; Junfeng Yang (SIAM J. Optim., 2015)

On the Global Linear Convergence of the ADMM with MultiBlock Variables. - Tianyi Lin; Shiqian Ma; Shuzhong Zhang (SIAM J. Optim., 2015)

Joint Power and Admission Control: Non-Convex Lq Approximation and An Effective Polynomial Time Deflation Approach. - Ya-Feng Liu; Yu-Hong Dai; Shiqian Ma (IEEE Trans. Signal Process., 2015)

Tensor models: solution methods and applications. - Shiqian Ma; Bo Jiang 007; Xiuzhen Huang; Shuzhong Zhang (Big Data over Networks, 2016)

Barzilai-Borwein Step Size for Stochastic Gradient Descent. - Conghui Tan; Shiqian Ma; Yu-Hong Dai; Yuqiu Qian (NIPS, 2016)

Geometric descent method for convex composite minimization. - Shixiang Chen; Shiqian Ma (CoRR, 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)

Alternating Proximal Gradient Method for Convex Minimization. - Shiqian Ma (J. Sci. Comput., 2016)

A smoothing SQP framework for a class of composite Lq minimization over polyhedron. - Ya-Feng Liu; Shiqian Ma; Yu-Hong Dai; Shuzhong Zhang (Math. Program., 2016)

Adaptive Proximal Average Approximation for Composite Convex Minimization. - Li Shen 008; Wei Liu 005; Junzhou Huang; Yu-Gang Jiang 001; Shiqian Ma (AAAI, 2017)

GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization. - Li Shen 005; Wei Liu 005; Ganzhao Yuan; Shiqian Ma (ICML, 2017)

Geometric Descent Method for Convex Composite Minimization. - Shixiang Chen; Shiqian Ma; Wei Liu 005 (NIPS, 2017)

An Extragradient-Based Alternating Direction Method for Convex Minimization. - Tianyi Lin; Shiqian Ma; Shuzhong Zhang (Found. Comput. Math., 2017)

Penalty methods with stochastic approximation for stochastic nonlinear programming. - Xiao Wang; Shiqian Ma; Ya-Xiang Yuan (Math. Comput., 2017)

Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization. - Xiao Wang; Shiqian Ma; Donald Goldfarb; Wei Liu 005 (SIAM J. Optim., 2017)

Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity. - Conghui Tan; Tong Zhang 001; Shiqian Ma; Ji Liu (NeurIPS, 2018)

Highly accurate model for prediction of lung nodule malignancy with CT scans. - Jason L. Causey; Junyu Zhang; Shiqian Ma; Bo Jiang 007; Jake A. Qualls; David G. Politte; Fred W. Prior; Shuzhong Zhang; Xiuzhen Huang (CoRR, 2018)

A novel design framework for smart operating robot in power system. - Qiang Wang; Xiaojing Yang; Zhigang Huang; Shiqian Ma; Qiao Li 003; David Wenzhong Gao; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 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)

Low-M-Rank Tensor Completion and Robust Tensor PCA. - Bo Jiang 007; Shiqian Ma; Shuzhong Zhang (IEEE J. Sel. Top. Signal Process., 2018)

Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants. - Shiqian Ma; Necdet Serhat Aybat (Proc. IEEE, 2018)

Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization. - Necdet Serhat Aybat; Zi Wang 007; Tianyi Lin; Shiqian Ma (IEEE Trans. Autom. Control., 2018)

ADMM for High-Dimensional Sparse Penalized Quantile Regression. - Yuwen Gu; Jun Fan; Lingchen Kong; Shiqian Ma; Hui Zou (Technometrics, 2018)

Software-in-the-Loop Planning of Fast Charging Station based on GNN-Accelerated Ordinal Optimization. - Peidong Xu; Jun Zhang 003; Zhou Fang; Xudong Wang; Guodong Li; Shiqian Ma (SOLI, 2019)

Structured nonconvex and nonsmooth optimization: algorithms and iteration complexity analysis. - Bo Jiang 007; Tianyi Lin; Shiqian Ma; Shuzhong Zhang (Comput. Optim. Appl., 2019)

An Alternating Manifold Proximal Gradient Method for Sparse PCA and Sparse CCA. - Shixiang Chen; Shiqian Ma; Lingzhou Xue; Hui Zou (CoRR, 2019)

On the Nonergodic Convergence Rate of an Inexact Augmented Lagrangian Framework for Composite Convex Programming. - Ya-Feng Liu; Xin Liu 001; Shiqian Ma (Math. Oper. Res., 2019)

A User-Oriented Pricing Design for Demand Response in Smart Grid. - Yanglin Zhou; Lin Cheng; Song Ci; Yang Yang 001; Shiqian Ma (Wirel. Commun. Mob. Comput., 2019)

Conv-TasSAN: Separative Adversarial Network Based on Conv-TasNet. - Chengyun Deng; Yi Zhang; Shiqian Ma; Yongtao Sha; Hui Song; Xiangang Li (INTERSPEECH, 2020)

Generative Adversarial Network Based Acoustic Echo Cancellation. - Yi Zhang; Chengyun Deng; Shiqian Ma; Yongtao Sha; Hui Song; Xiangang Li (INTERSPEECH, 2020)

Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities. - Zhongruo Wang; Krishnakumar Balasubramanian 002; Shiqian Ma; Meisam Razaviyayn (CoRR, 2020)

Zeroth-order Optimization on Riemannian Manifolds. - Jiaxiang Li; Krishnakumar Balasubramanian 002; Shiqian Ma (CoRR, 2020)

A Block Successive Upper-Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization. - Mingyi Hong 001; Tsung-Hui Chang; Xiangfeng Wang; Meisam Razaviyayn; Shiqian Ma; Zhi-Quan Luo (Math. Oper. Res., 2020)

Primal-dual optimization algorithms over Riemannian manifolds: an iteration complexity analysis. - Junyu Zhang; Shiqian Ma; Shuzhong Zhang (Math. Program., 2020)

Accelerated dual-averaging primal-dual method for composite convex minimization. - Conghui Tan; Yuqiu Qian; Shiqian Ma; Tong Zhang 001 (Optim. Methods Softw., 2020)

Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold. - Shixiang Chen; Shiqian Ma; Anthony Man-Cho So; Tong Zhang 001 (SIAM J. Optim., 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., 2020)

A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance. - Minhui Huang; Shiqian Ma; Lifeng Lai (ICML, 2021)

Projection Robust Wasserstein Barycenters. - Minhui Huang; Shiqian Ma; Lifeng Lai (ICML, 2021)

Robust Speaker Extraction Network Based on Iterative Refined Adaptation. - Chengyun Deng; Shiqian Ma; Yongtao Sha; Yi Zhang; Hui Zhang; Hui Song; Fei Wang (Interspeech, 2021)

A Riemannian smoothing steepest descent method for non-Lipschitz optimization on submanifolds. - Chao Zhang 056; Xiaojun Chen 001; Shiqian Ma (CoRR, 2021)

On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport. - Minhui Huang; Shiqian Ma; Lifeng Lai (CoRR, 2021)

An ADMM-based interior-point method for large-scale linear programming. - Tianyi Lin; Shiqian Ma; Yinyu Ye 001; Shuzhong Zhang (Optim. Methods Softw., 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)

Robust Low-Rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method. - Minhui Huang; Shiqian Ma; Lifeng Lai (IEEE Trans. Signal Process., 2021)

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)

Efficiently Escaping Saddle Points in Bilevel Optimization. - Minhui Huang; Kaiyi Ji; Shiqian Ma; Lifeng Lai (CoRR, 2022)

Federated Learning on Riemannian Manifolds. - Jiaxiang Li; Shiqian Ma (CoRR, 2022)

Decentralized Stochastic Bilevel Optimization with Improved Per-Iteration Complexity. - Xuxing Chen; Minhui Huang; Shiqian Ma; Krishnakumar Balasubramanian 002 (CoRR, 2022)

A Riemannian ADMM. - Jiaxiang Li; Shiqian Ma; Tejes Srivastava (CoRR, 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 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 003 (INFORMS J. Optim., 2022)

Adaptive composite frequency control of power systems using reinforcement learning. - Chaoxu Mu; Ke Wang 037; Shiqian Ma; Zhiqiang Chong; Zhen Ni (CAAI Trans. Intell. Technol., 2022)

Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity. - Xuxing Chen; Minhui Huang; Shiqian Ma; Krishna Balasubramanian (ICML, 2023)

Primal Extended Position Based Dynamics for Hyperelasticity. - Yizhou Chen; Yushan Han; Jingyu Chen 002; Shiqian Ma; Ronald Fedkiw; Joseph Teran (MIG, 2023)

A Single-Loop Algorithm for Decentralized Bilevel Optimization. - Youran Dong; Shiqian Ma; Junfeng Yang; Chao Yin (CoRR, 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., 2023)

Stochastic Zeroth-Order Riemannian Derivative Estimation and Optimization. - Jiaxiang Li; Krishnakumar Balasubramanian 002; Shiqian Ma (Math. Oper. Res., 2023)

Zeroth-order algorithms for nonconvex-strongly-concave minimax problems with improved complexities. - Zhongruo Wang; Krishnakumar Balasubramanian 002; Shiqian Ma; Meisam Razaviyayn (J. Glob. Optim., 2023)

Decentralized and Equitable Optimal Transport. - Ivan Lau; Shiqian Ma; César A. Uribe (ACC, 2024)

Primal residual reduction with extended position based dynamics and hyperelasticity. - Yizhou Chen; Yushan Han; Jingyu Chen 002; Shiqian Ma; Ronald Fedkiw; Joseph Teran (Comput. Graph., 2024)

Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization. - Jiaxiang Li; Xuxing Chen; Shiqian Ma; Mingyi Hong 001 (CoRR, 2024)

Fully First-Order Methods for Decentralized Bilevel Optimization. - Xiaoyu Wang 008; Xuxing Chen; Shiqian Ma; Tong Zhang 001 (CoRR, 2024)

A Riemannian Smoothing Steepest Descent Method for Non-Lipschitz Optimization on Embedded Submanifolds of Rn. - Chao Zhang 056; Xiaojun Chen 001; Shiqian Ma (Math. Oper. Res., 2024)

Zeroth-Order Riemannian Averaging Stochastic Approximation Algorithms. - Jiaxiang Li; Krishnakumar Balasubramanian 002; Shiqian Ma (SIAM J. Optim., 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 001 (SIAM Rev., 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)

First-Order Federated Bilevel Learning. - Yifan Yang; Peiyao Xiao; Shiqian Ma; Kaiyi Ji (AAAI, 2025)

Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis. - Yifan Yang; Hao Ban; Minhui Huang; Shiqian Ma; Kaiyi Ji (ICLR, 2025)

Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applications. - Yue Huang; Zhaoxian Wu; Shiqian Ma; Qing Ling 001 (IEEE Trans. Signal Process., 2025)

Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds. - Yunrui Guan; Krishnakumar Balasubramanian 002; Shiqian Ma (CoRR, 2025)

ASGO: Adaptive Structured Gradient Optimization. - Kang An; Yuxing Liu; Rui Pan 002; Shiqian Ma; Donald Goldfarb; Tong Zhang 001 (CoRR, 2025)