Shiqian Ma - RankMe

129 papers A* 12A 3C 2Misc 2Journal 103Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AdaBB: Adaptive Barzilai-Borwein Method for Convex Optimization. Math. Oper. Res. Danqing Zhou, Shiqian Ma, Junfeng Yang
2026	J	`jnl`	Riemannian Dueling Optimization. CoRR Yuxuan Ren, Abhishek Roy, Shiqian Ma
2026	J	`jnl`	Total Variation Rates for Riemannian Flow Matching. CoRR Yunrui Guan, Krishnakumar Balasubramanian, Shiqian Ma
2025	J	`jnl`	A Riemannian Alternating Direction Method of Multipliers. Math. Oper. Res. Jiaxiang Li, Shiqian Ma, Tejes Srivastava
2025	J	`jnl`	ASGO: Adaptive Structured Gradient Optimization. CoRR Kang An, Yuxing Liu, Rui Pan, Shiqian Ma, Donald Goldfarb, Tong Zhang
2025	J	`jnl`	AutoBalance: An Automatic Balancing Framework for Training Physics-Informed Neural Networks. CoRR Kang An, Chenhao Si, Ming Yan, Shiqian Ma
2025	J	`jnl`	Bregman Douglas-Rachford Splitting Method. CoRR Shiqian Ma, Lin Xiao, Renbo Zhao
2025	J	`jnl`	Decentralized bilevel optimization. Optim. Lett. Xuxing Chen, Minhui Huang, Shiqian Ma
2025	J	`jnl`	Efficiently Escaping Saddle Points in Bilevel Optimization. J. Mach. Learn. Res. Minhui Huang, Xuxing Chen, Kaiyi Ji, Shiqian Ma, Lifeng Lai
2025	A*	`conf`	First-Order Federated Bilevel Learning. AAAI Yifan Yang, Peiyao Xiao, Shiqian Ma, Kaiyi Ji
2025	J	`jnl`	Fully First-Order Methods for DecentralizedBilevel Optimization. IEEE Trans. Signal Process. Xiaoyu Wang, Xuxing Chen, Shiqian Ma, Tong Zhang
2025	J	`jnl`	Mirror Flow Matching with Heavy-Tailed Priors for Generative Modeling on Convex Domains. CoRR Yunrui Guan, Krishnakumar Balasubramanian, Shiqian Ma
2025	J	`jnl`	Riemannian Bilevel Optimization. J. Mach. Learn. Res. Jiaxiang Li, Shiqian Ma
2025	J	`jnl`	Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds. CoRR Yunrui Guan, Krishnakumar Balasubramanian, Shiqian Ma
2025	J	`jnl`	Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applications. IEEE Trans. Signal Process. Yue Huang, Zhaoxian Wu, Shiqian Ma, Qing Ling
2025	A*	`conf`	Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis. ICLR Yifan Yang, Hao Ban, Minhui Huang, Shiqian Ma, Kaiyi Ji
2024	J	`jnl`	A New Inexact Proximal Linear Algorithm With Adaptive Stopping Criteria for Robust Phase Retrieval. IEEE Trans. Signal Process. Zhong Zheng, Shiqian Ma, Lingzhou Xue
2024	J	`jnl`	A Riemannian Smoothing Steepest Descent Method for Non-Lipschitz Optimization on Embedded Submanifolds of Rn. Math. Oper. Res. Chao Zhang, Xiaojun Chen, Shiqian Ma
2024	C	`conf`	Decentralized and Equitable Optimal Transport. ACC Ivan Lau, Shiqian Ma, César A. Uribe
2024	J	`jnl`	Decentralized and Equitable Optimal Transport. CoRR Ivan Lau, Shiqian Ma, César A. Uribe
2024	J	`jnl`	Fully First-Order Methods for Decentralized Bilevel Optimization. CoRR Xiaoyu Wang, Xuxing Chen, Shiqian Ma, Tong Zhang
2024	J	`jnl`	Nonsmooth Optimization over the Stiefel Manifold and Beyond: Proximal Gradient Method and Recent Variants. SIAM Rev. Shixiang Chen, Shiqian Ma, Anthony Man-Cho So, Tong Zhang
2024	J	`jnl`	On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport. J. Mach. Learn. Res. Minhui Huang, Shiqian Ma, Lifeng Lai
2024	J	`jnl`	Primal residual reduction with extended position based dynamics and hyperelasticity. Comput. Graph. Yizhou Chen, Yushan Han, Jingyu Chen, Shiqian Ma, Ronald Fedkiw, Joseph Teran
2024	J	`jnl`	Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization. CoRR Jiaxiang Li, Xuxing Chen, Shiqian Ma, Mingyi Hong
2024	J	`jnl`	Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applications. CoRR Yue Huang, Zhaoxian Wu, Shiqian Ma, Qing Ling
2024	J	`jnl`	Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis. CoRR Yifan Yang, Hao Ban, Minhui Huang, Shiqian Ma, Kaiyi Ji
2024	J	`jnl`	Zeroth-Order Riemannian Averaging Stochastic Approximation Algorithms. SIAM J. Optim. Jiaxiang Li, Krishnakumar Balasubramanian, Shiqian Ma
2023	J	`jnl`	A New Inexact Proximal Linear Algorithm with Adaptive Stopping Criteria for Robust Phase Retrieval. CoRR Zhong Zheng, Shiqian Ma, Lingzhou Xue
2023	J	`jnl`	A Single-Loop Algorithm for Decentralized Bilevel Optimization. CoRR Youran Dong, Shiqian Ma, Junfeng Yang, Chao Yin
2023	A*	`conf`	Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity. ICML Xuxing Chen, Minhui Huang, Shiqian Ma, Krishna Balasubramanian
2023	J	`jnl`	MLfus: A real-time forecasting architecture for low communication costs in electricity IoT based on ensemble learning. IET Commun. Wenjing Li, Nan Zhang, Zhu Liu, Shiqian Ma, Huaqiang Ke, Jinfa Wang, Ting Chen
2023	C	`conf`	Primal Extended Position Based Dynamics for Hyperelasticity. MIG Yizhou Chen, Yushan Han, Jingyu Chen, Shiqian Ma, Ronald Fedkiw, Joseph Teran
2023	J	`jnl`	Stochastic Zeroth-Order Riemannian Derivative Estimation and Optimization. Math. Oper. Res. Jiaxiang Li, Krishnakumar Balasubramanian, Shiqian Ma
2023	J	`jnl`	Zeroth-order Riemannian Averaging Stochastic Approximation Algorithms. CoRR Jiaxiang Li, Krishnakumar Balasubramanian, Shiqian Ma
2023	J	`jnl`	Zeroth-order algorithms for nonconvex-strongly-concave minimax problems with improved complexities. J. Glob. Optim. Zhongruo Wang, Krishnakumar Balasubramanian, Shiqian Ma, Meisam Razaviyayn
2022	J	`jnl`	A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis. INFORMS J. Optim. Zhongruo Wang, Bingyuan Liu, Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hongyu Zhao
2022	J	`jnl`	A Riemannian ADMM. CoRR Jiaxiang Li, Shiqian Ma, Tejes Srivastava
2022	J	`jnl`	Adaptive composite frequency control of power systems using reinforcement learning. CAAI Trans. Intell. Technol. Chaoxu Mu, Ke Wang, Shiqian Ma, Zhiqiang Chong, Zhen Ni
2022	J	`jnl`	Day-ahead optimal dispatching of hybrid power system based on deep reinforcement learning. Cogn. Comput. Syst. Yakun Shi, Chaoxu Mu, Yi Hao, Shiqian Ma, Na Xu, Zhiqiang Chong
2022	J	`jnl`	Decentralized Stochastic Bilevel Optimization with Improved Per-Iteration Complexity. CoRR Xuxing Chen, Minhui Huang, Shiqian Ma, Krishnakumar Balasubramanian
2022	J	`jnl`	Efficiently Escaping Saddle Points in Bilevel Optimization. CoRR Minhui Huang, Kaiyi Ji, Shiqian Ma, Lifeng Lai
2022	J	`jnl`	Federated Learning on Riemannian Manifolds. CoRR Jiaxiang Li, Shiqian Ma
2022	J	`jnl`	Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold. J. Mach. Learn. Res. Bokun Wang, Shiqian Ma, Lingzhou Xue
2021	A*	`conf`	A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance. ICML Minhui Huang, Shiqian Ma, Lifeng Lai
2021	J	`jnl`	A Riemannian smoothing steepest descent method for non-Lipschitz optimization on submanifolds. CoRR Chao Zhang, Xiaojun Chen, Shiqian Ma
2021	J	`jnl`	An ADMM-based interior-point method for large-scale linear programming. Optim. Methods Softw. Tianyi Lin, Shiqian Ma, Yinyu Ye, Shuzhong Zhang
2021	J	`jnl`	Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. IEEE Trans. Signal Process. Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So
2021	J	`jnl`	On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport. CoRR Minhui Huang, Shiqian Ma, Lifeng Lai
2021	A*	`conf`	Projection Robust Wasserstein Barycenters. ICML Minhui Huang, Shiqian Ma, Lifeng Lai
2021	J	`jnl`	Projection Robust Wasserstein Barycenters. CoRR Minhui Huang, Shiqian Ma, Lifeng Lai
2021	J	`jnl`	Robust Low-Rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method. IEEE Trans. Signal Process. Minhui Huang, Shiqian Ma, Lifeng Lai
2021	A	`conf`	Robust Speaker Extraction Network Based on Iterative Refined Adaptation. Interspeech Chengyun Deng, Shiqian Ma, Yongtao Sha, Yi Zhang, Hui Zhang, Hui Song, Fei Wang
2020	J	`jnl`	A Block Successive Upper-Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization. Math. Oper. Res. Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyayn, Shiqian Ma, Zhi-Quan Luo
2020	J	`jnl`	A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis. CoRR Zhongruo Wang, Bingyuan Liu, Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hongyu Zhao
2020	J	`jnl`	A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance. CoRR Minhui Huang, Shiqian Ma, Lifeng Lai
2020	J	`jnl`	Accelerated Dual-Averaging Primal-Dual Method for Composite Convex Minimization. CoRR Conghui Tan, Yuqiu Qian, Shiqian Ma, Tong Zhang
2020	J	`jnl`	Accelerated dual-averaging primal-dual method for composite convex minimization. Optim. Methods Softw. Conghui Tan, Yuqiu Qian, Shiqian Ma, Tong Zhang
2020	J	`jnl`	An Alternating Manifold Proximal Gradient Method for Sparse Principal Component Analysis and Sparse Canonical Correlation Analysis. INFORMS J. Optim. Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hui Zou
2020	A	`conf`	Conv-TasSAN: Separative Adversarial Network Based on Conv-TasNet. INTERSPEECH Chengyun Deng, Yi Zhang, Shiqian Ma, Yongtao Sha, Hui Song, Xiangang Li
2020	A	`conf`	Generative Adversarial Network Based Acoustic Echo Cancellation. INTERSPEECH Yi Zhang, Chengyun Deng, Shiqian Ma, Yongtao Sha, Hui Song, Xiangang Li
2020	J	`jnl`	Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. CoRR Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So
2020	J	`jnl`	Primal-dual optimization algorithms over Riemannian manifolds: an iteration complexity analysis. Math. Program. Junyu Zhang, Shiqian Ma, Shuzhong Zhang
2020	J	`jnl`	Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold. SIAM J. Optim. Shixiang Chen, Shiqian Ma, Anthony Man-Cho So, Tong Zhang
2020	J	`jnl`	Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold. CoRR Bokun Wang, Shiqian Ma, Lingzhou Xue
2020	J	`jnl`	Robust Low-rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method. CoRR Minhui Huang, Shiqian Ma, Lifeng Lai
2020	J	`jnl`	Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities. CoRR Zhongruo Wang, Krishnakumar Balasubramanian, Shiqian Ma, Meisam Razaviyayn
2020	J	`jnl`	Zeroth-order Optimization on Riemannian Manifolds. CoRR Jiaxiang Li, Krishnakumar Balasubramanian, Shiqian Ma
2019	J	`jnl`	A User-Oriented Pricing Design for Demand Response in Smart Grid. Wirel. Commun. Mob. Comput. Yanglin Zhou, Lin Cheng, Song Ci, Yang Yang, Shiqian Ma
2019	J	`jnl`	An Alternating Manifold Proximal Gradient Method for Sparse PCA and Sparse CCA. CoRR Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hui Zou
2019	Misc	`conf`	Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. ACSSC Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So
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	—	`conf`	Software-in-the-Loop Planning of Fast Charging Station based on GNN-Accelerated Ordinal Optimization. SOLI Peidong Xu, Jun Zhang, Zhou Fang, Xudong Wang, Guodong Li, Shiqian Ma
2019	J	`jnl`	Structured nonconvex and nonsmooth optimization: algorithms and iteration complexity analysis. Comput. Optim. Appl. Bo Jiang, Tianyi Lin, Shiqian Ma, Shuzhong Zhang
2018	J	`jnl`	A novel design framework for smart operating robot in power system. IEEE CAA J. Autom. Sinica Qiang Wang, Xiaojing Yang, Zhigang Huang, Shiqian Ma, Qiao Li, David Wenzhong Gao, Fei-Yue Wang
2018	J	`jnl`	ADMM for High-Dimensional Sparse Penalized Quantile Regression. Technometrics Yuwen Gu, Jun Fan, Lingchen Kong, Shiqian Ma, Hui Zou
2018	J	`jnl`	Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization. IEEE Trans. Autom. Control. Necdet Serhat Aybat, Zi Wang, Tianyi Lin, Shiqian Ma
2018	J	`jnl`	Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants. CoRR Shiqian Ma, Necdet Serhat Aybat
2018	J	`jnl`	Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants. Proc. IEEE Shiqian Ma, Necdet Serhat Aybat
2018	J	`jnl`	Global Convergence of Unmodified 3-Block ADMM for a Class of Convex Minimization Problems. J. Sci. Comput. Tianyi Lin, Shiqian Ma, Shuzhong Zhang
2018	J	`jnl`	Highly accurate model for prediction of lung nodule malignancy with CT scans. CoRR Jason L. Causey, Junyu Zhang, Shiqian Ma, Bo Jiang, Jake A. Qualls, David G. Politte, Fred W. Prior, Shuzhong Zhang, Xiuzhen Huang
2018	J	`jnl`	Low-M-Rank Tensor Completion and Robust Tensor PCA. IEEE J. Sel. Top. Signal Process. Bo Jiang, Shiqian Ma, Shuzhong Zhang
2018	A*	`conf`	Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity. NeurIPS Conghui Tan, Tong Zhang, Shiqian Ma, Ji Liu
2018	J	`jnl`	Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity. CoRR Conghui Tan, Tong Zhang, Shiqian Ma, Ji Liu
2017	A*	`conf`	Adaptive Proximal Average Approximation for Composite Convex Minimization. AAAI Li Shen, Wei Liu, Junzhou Huang, Yu-Gang Jiang, Shiqian Ma
2017	J	`jnl`	An Extragradient-Based Alternating Direction Method for Convex Minimization. Found. Comput. Math. Tianyi Lin, Shiqian Ma, Shuzhong Zhang
2017	A*	`conf`	GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization. ICML Li Shen, Wei Liu, Ganzhao Yuan, Shiqian Ma
2017	—	`conf`	Geometric Descent Method for Convex Composite Minimization. NIPS Shixiang Chen, Shiqian Ma, Wei Liu
2017	J	`jnl`	Penalty methods with stochastic approximation for stochastic nonlinear programming. Math. Comput. Xiao Wang, Shiqian Ma, Ya-Xiang Yuan
2017	J	`jnl`	Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization. SIAM J. Optim. Xiao Wang, Shiqian Ma, Donald Goldfarb, Wei Liu
2016	J	`jnl`	A smoothing SQP framework for a class of composite L Math. Program. Ya-Feng Liu, Shiqian Ma, Yu-Hong Dai, Shuzhong Zhang
2016	J	`jnl`	Alternating Proximal Gradient Method for Convex Minimization. J. Sci. Comput. Shiqian Ma
2016	—	`conf`	Barzilai-Borwein Step Size for Stochastic Gradient Descent. NIPS Conghui Tan, Shiqian Ma, Yu-Hong Dai, Yuqiu Qian
2016	J	`jnl`	Barzilai-Borwein Step Size for Stochastic Gradient Descent. CoRR Conghui Tan, Shiqian Ma, Yu-Hong Dai, Yuqiu Qian
2016	J	`jnl`	Geometric descent method for convex composite minimization. CoRR Shixiang Chen, Shiqian Ma
2016	J	`jnl`	Iteration Complexity Analysis of Multi-block ADMM for a Family of Convex Minimization Without Strong Convexity. J. Sci. Comput. Tianyi Lin, Shiqian Ma, Shuzhong Zhang
2016	J	`jnl`	Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization. CoRR Xiao Wang, Shiqian Ma, Donald Goldfarb, Wei Liu
2016	J	`jnl`	Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis. CoRR Bo Jiang, Tianyi Lin, Shiqian Ma, Shuzhong Zhang
2016	—	`ch.`	Tensor models: solution methods and applications. Big Data over Networks Shiqian Ma, Bo Jiang, Xiuzhen Huang, Shuzhong Zhang
2015	J	`jnl`	A General Inertial Proximal Point Algorithm for Mixed Variational Inequality Problem. SIAM J. Optim. Caihua Chen, Shiqian Ma, Junfeng Yang
2015	J	`jnl`	An alternating direction method for total variation denoising. Optim. Methods Softw. Zhiwei (Tony) Qin, Donald Goldfarb, Shiqian Ma
2015	J	`jnl`	Global Convergence of Unmodified 3-Block ADMM for a Class of Convex Minimization Problems. CoRR Tianyi Lin, Shiqian Ma, Shuzhong Zhang
2015	J	`jnl`	Inertial Proximal ADMM for Linearly Constrained Separable Convex Optimization. SIAM J. Imaging Sci. Caihua Chen, Raymond H. Chan, Shiqian Ma, Junfeng Yang
2015	J	`jnl`	Joint Power and Admission Control: Non-Convex L IEEE Trans. Signal Process. Ya-Feng Liu, Yu-Hong Dai, Shiqian Ma
2015	A*	`conf`	Low-Rank Similarity Metric Learning in High Dimensions. AAAI Wei Liu, Cun Mu, Rongrong Ji, Shiqian Ma, John R. Smith, Shih-Fu Chang
2015	J	`jnl`	On the Global Linear Convergence of the ADMM with MultiBlock Variables. SIAM J. Optim. Tianyi Lin, Shiqian Ma, Shuzhong Zhang
2015	—	`conf`	Sparse Subspace Clustering for Incomplete Images. ICCV Workshops Xiao Wen, Linbo Qiao, Shiqian Ma, Wei Liu, Hong Cheng
2015	J	`jnl`	Tensor principal component analysis via convex optimization. Math. Program. Bo Jiang, Shiqian Ma, Shuzhong Zhang
2014	Misc	`conf`	A block coordinate descent method of multipliers: Convergence analysis and applications. ICASSP Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyayn, Shiqian Ma, Zhi-Quan Luo
2014	A*	`conf`	Doubly Regularized Portfolio with Risk Minimization. AAAI Weiwei Shen, Jun Wang, Shiqian Ma
2014	J	`jnl`	Efficient algorithms for robust and stable principal component pursuit problems. Comput. Optim. Appl. Necdet Serhat Aybat, Donald Goldfarb, Shiqian Ma
2013	J	`jnl`	Accelerated Linearized Bregman Method. J. Sci. Comput. Bo Huang, Shiqian Ma, Donald Goldfarb
2013	J	`jnl`	Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection. Neural Comput. Shiqian Ma, Lingzhou Xue, Hui Zou
2013	J	`jnl`	Fast alternating linearization methods for minimizing the sum of two convex functions. Math. Program. Donald Goldfarb, Shiqian Ma, Katya Scheinberg
2013	J	`jnl`	Joint Power and Admission Control: Non-Convex Approximation and An Efficient Polynomial Time Deflation Approach. CoRR Ya-Feng Liu, Yu-Hong Dai, Shiqian Ma
2013	J	`jnl`	Solving Multiple-Block Separable Convex Minimization Problems Using Two-Block Alternating Direction Method of Multipliers. CoRR Xiangfeng Wang, Mingyi Hong, Shiqian Ma, Zhi-Quan Luo
2012	J	`jnl`	Fast Multiple-Splitting Algorithms for Convex Optimization. SIAM J. Optim. Donald Goldfarb, Shiqian Ma
2011	J	`jnl`	Accelerated Linearized Bregman Method CoRR Bo Huang, Shiqian Ma, Donald Goldfarb
2011	J	`jnl`	Convergence of Fixed-Point Continuation Algorithms for Matrix Rank Minimization. Found. Comput. Math. Donald Goldfarb, Shiqian Ma
2011	J	`jnl`	Fixed point and Bregman iterative methods for matrix rank minimization. Math. Program. Shiqian Ma, Donald Goldfarb, Lifeng Chen
2010	A*	`conf`	Semi-supervised sparse metric learning using alternating linearization optimization. KDD Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, Peng Liu
2010	J	`jnl`	Sparse Inverse Covariance Selection via Alternating Linearization Methods CoRR Katya Scheinberg, Shiqian Ma, Donald Goldfarb
2010	—	`conf`	Sparse Inverse Covariance Selection via Alternating Linearization Methods. NIPS Katya Scheinberg, Shiqian Ma, Donald Goldfarb
2009	J	`jnl`	A fast subspace method for image deblurring. Appl. Math. Comput. Yanfei Wang, Shiqian Ma
2009	J	`jnl`	Convergence of fixed point continuation algorithms for matrix rank minimization CoRR Donald Goldfarb, Shiqian Ma
2009	J	`jnl`	Fast Alternating Linearization Methods for Minimizing the Sum of Two Convex Functions. CoRR Donald Goldfarb, Shiqian Ma, Katya Scheinberg
2009	J	`jnl`	Fixed Point and Bregman Iterative Methods for Matrix Rank Minimization CoRR Shiqian Ma, Donald Goldfarb, Lifeng Chen
2009	—	`conf`	Solving low-rank matrix completion problems efficiently. Allerton Donald Goldfarb, Shiqian Ma, Zaiwen Wen
2008	A*	`conf`	An efficient algorithm for compressed MR imaging using total variation and wavelets. CVPR Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty