Shiqian Ma

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 75

Top Venues

CoRR

SIAM J. Optim.

IEEE Trans. Signal Process.

ICML

Publications

Shixiang Chen, Shiqian Ma, Anthony Man-Cho So, Tong Zhang
Nonsmooth Optimization over the Stiefel Manifold and Beyond: Proximal Gradient Method and Recent Variants. SIAM Rev. 66 (2) (2024)
Zhong Zheng, Shiqian Ma, Lingzhou Xue
A New Inexact Proximal Linear Algorithm With Adaptive Stopping Criteria for Robust Phase Retrieval. IEEE Trans. Signal Process. 72 (2024)
Yizhou Chen, Yushan Han, Jingyu Chen, Shiqian Ma, Ronald Fedkiw, Joseph Teran
Primal residual reduction with extended position based dynamics and hyperelasticity. Comput. Graph. 119 (2024)
Ivan Lau, Shiqian Ma, César A. Uribe
Decentralized and Equitable Optimal Transport. CoRR (2024)
Jiaxiang Li, Xuxing Chen, Shiqian Ma, Mingyi Hong
Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization. CoRR (2024)
Wenjing Li, Nan Zhang, Zhu Liu, Shiqian Ma, Huaqiang Ke, Jinfa Wang, Ting Chen
MLfus: A real-time forecasting architecture for low communication costs in electricity IoT based on ensemble learning. IET Commun. 17 (2) (2023)
Xuxing Chen, Minhui Huang, Shiqian Ma, Krishna Balasubramanian
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity. ICML (2023)
Yizhou Chen, Yushan Han, Jingyu Chen, Shiqian Ma, Ronald Fedkiw, Joseph Teran
Primal Extended Position Based Dynamics for Hyperelasticity. MIG (2023)
Youran Dong, Shiqian Ma, Junfeng Yang, Chao Yin
A Single-Loop Algorithm for Decentralized Bilevel Optimization. CoRR (2023)
Zhong Zheng, Shiqian Ma, Lingzhou Xue
A New Inexact Proximal Linear Algorithm with Adaptive Stopping Criteria for Robust Phase Retrieval. CoRR (2023)
Zhongruo Wang, Krishnakumar Balasubramanian, Shiqian Ma, Meisam Razaviyayn
Zeroth-order algorithms for nonconvex-strongly-concave minimax problems with improved complexities. J. Glob. Optim. 87 (2) (2023)
Jiaxiang Li, Krishnakumar Balasubramanian, Shiqian Ma
Zeroth-order Riemannian Averaging Stochastic Approximation Algorithms. CoRR (2023)
Jiaxiang Li, Krishnakumar Balasubramanian, Shiqian Ma
Stochastic Zeroth-Order Riemannian Derivative Estimation and Optimization. Math. Oper. Res. 48 (2) (2023)
Zhongruo Wang, Bingyuan Liu, Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hongyu Zhao
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis. INFORMS J. Optim. 4 (2) (2022)
Xuxing Chen, Minhui Huang, Shiqian Ma, Krishnakumar Balasubramanian
Decentralized Stochastic Bilevel Optimization with Improved Per-Iteration Complexity. CoRR (2022)
Jiaxiang Li, Shiqian Ma
Federated Learning on Riemannian Manifolds. CoRR (2022)
Minhui Huang, Kaiyi Ji, Shiqian Ma, Lifeng Lai
Efficiently Escaping Saddle Points in Bilevel Optimization. CoRR (2022)
Jiaxiang Li, Shiqian Ma, Tejes Srivastava
A Riemannian ADMM. CoRR (2022)
Yakun Shi, Chaoxu Mu, Yi Hao, Shiqian Ma, Na Xu, Zhiqiang Chong
Day-ahead optimal dispatching of hybrid power system based on deep reinforcement learning. Cogn. Comput. Syst. 4 (4) (2022)
Bokun Wang, Shiqian Ma, Lingzhou Xue
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold. J. Mach. Learn. Res. 23 (2022)
Chaoxu Mu, Ke Wang, Shiqian Ma, Zhiqiang Chong, Zhen Ni
Adaptive composite frequency control of power systems using reinforcement learning. CAAI Trans. Intell. Technol. 7 (4) (2022)
Chengyun Deng, Shiqian Ma, Yongtao Sha, Yi Zhang, Hui Zhang, Hui Song, Fei Wang
Robust Speaker Extraction Network Based on Iterative Refined Adaptation. Interspeech (2021)
Minhui Huang, Shiqian Ma, Lifeng Lai
Projection Robust Wasserstein Barycenters. CoRR (2021)
Chao Zhang, Xiaojun Chen, Shiqian Ma
A Riemannian smoothing steepest descent method for non-Lipschitz optimization on submanifolds. CoRR (2021)
Minhui Huang, Shiqian Ma, Lifeng Lai
Projection Robust Wasserstein Barycenters. ICML (2021)
Minhui Huang, Shiqian Ma, Lifeng Lai
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance. ICML (2021)
Minhui Huang, Shiqian Ma, Lifeng Lai
Robust Low-Rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method. IEEE Trans. Signal Process. 69 (2021)
Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. IEEE Trans. Signal Process. 69 (2021)
Minhui Huang, Shiqian Ma, Lifeng Lai
On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport. CoRR (2021)
Tianyi Lin, Shiqian Ma, Yinyu Ye, Shuzhong Zhang
An ADMM-based interior-point method for large-scale linear programming. Optim. Methods Softw. 36 (2-3) (2021)
Junyu Zhang, Shiqian Ma, Shuzhong Zhang
Primal-dual optimization algorithms over Riemannian manifolds: an iteration complexity analysis. Math. Program. 184 (1) (2020)
Jiaxiang Li, Krishnakumar Balasubramanian, Shiqian Ma
Zeroth-order Optimization on Riemannian Manifolds. CoRR (2020)
Minhui Huang, Shiqian Ma, Lifeng Lai
Robust Low-rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method. CoRR (2020)
Zhongruo Wang, Bingyuan Liu, Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hongyu Zhao
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis. CoRR (2020)
Shixiang Chen, Shiqian Ma, Anthony Man-Cho So, Tong Zhang
Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold. SIAM J. Optim. 30 (1) (2020)
Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. CoRR (2020)
Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyayn, Shiqian Ma, Zhi-Quan Luo
A Block Successive Upper-Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization. Math. Oper. Res. 45 (3) (2020)
Zhongruo Wang, Krishnakumar Balasubramanian, Shiqian Ma, Meisam Razaviyayn
Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities. CoRR (2020)
Minhui Huang, Shiqian Ma, Lifeng Lai
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance. CoRR (2020)
Chengyun Deng, Yi Zhang, Shiqian Ma, Yongtao Sha, Hui Song, Xiangang Li
Conv-TasSAN: Separative Adversarial Network Based on Conv-TasNet. INTERSPEECH (2020)
Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hui Zou
An Alternating Manifold Proximal Gradient Method for Sparse Principal Component Analysis and Sparse Canonical Correlation Analysis. INFORMS J. Optim. 2 (3) (2020)
Conghui Tan, Yuqiu Qian, Shiqian Ma, Tong Zhang
Accelerated dual-averaging primal-dual method for composite convex minimization. Optim. Methods Softw. 35 (4) (2020)
Yi Zhang, Chengyun Deng, Shiqian Ma, Yongtao Sha, Hui Song, Xiangang Li
Generative Adversarial Network Based Acoustic Echo Cancellation. INTERSPEECH (2020)
Conghui Tan, Yuqiu Qian, Shiqian Ma, Tong Zhang
Accelerated Dual-Averaging Primal-Dual Method for Composite Convex Minimization. CoRR (2020)
Bokun Wang, Shiqian Ma, Lingzhou Xue
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold. CoRR (2020)
Bo Jiang, Tianyi Lin, Shiqian Ma, Shuzhong Zhang
Structured nonconvex and nonsmooth optimization: algorithms and iteration complexity analysis. Comput. Optim. Appl. 72 (1) (2019)
Peidong Xu, Jun Zhang, Zhou Fang, Xudong Wang, Guodong Li, Shiqian Ma
Software-in-the-Loop Planning of Fast Charging Station based on GNN-Accelerated Ordinal Optimization. SOLI (2019)
Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hui Zou
An Alternating Manifold Proximal Gradient Method for Sparse PCA and Sparse CCA. CoRR (2019)
Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. ACSSC (2019)
Ya-Feng Liu, Xin Liu, Shiqian Ma
On the Nonergodic Convergence Rate of an Inexact Augmented Lagrangian Framework for Composite Convex Programming. Math. Oper. Res. 44 (2) (2019)
Yanglin Zhou, Lin Cheng, Song Ci, Yang Yang, Shiqian Ma
A User-Oriented Pricing Design for Demand Response in Smart Grid. Wirel. Commun. Mob. Comput. 2019 (2019)
Tianyi Lin, Shiqian Ma, Shuzhong Zhang
Global Convergence of Unmodified 3-Block ADMM for a Class of Convex Minimization Problems. J. Sci. Comput. 76 (1) (2018)
Yuwen Gu, Jun Fan, Lingchen Kong, Shiqian Ma, Hui Zou
ADMM for High-Dimensional Sparse Penalized Quantile Regression. Technometrics 60 (3) (2018)
Necdet Serhat Aybat, Zi Wang, Tianyi Lin, Shiqian Ma
Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization. IEEE Trans. Autom. Control. 63 (1) (2018)
Shiqian Ma, Necdet Serhat Aybat
Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants. CoRR (2018)
Qiang Wang, Xiaojing Yang, Zhigang Huang, Shiqian Ma, Qiao Li, David Wenzhong Gao, Fei-Yue Wang
A novel design framework for smart operating robot in power system. IEEE CAA J. Autom. Sinica 5 (2) (2018)
Shiqian Ma, Necdet Serhat Aybat
Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants. Proc. IEEE 106 (8) (2018)
Jason L. Causey, Junyu Zhang, Shiqian Ma, Bo Jiang, Jake A. Qualls, David G. Politte, Fred W. Prior, Shuzhong Zhang, Xiuzhen Huang
Highly accurate model for prediction of lung nodule malignancy with CT scans. CoRR (2018)
Bo Jiang, Shiqian Ma, Shuzhong Zhang
Low-M-Rank Tensor Completion and Robust Tensor PCA. IEEE J. Sel. Top. Signal Process. 12 (6) (2018)
Conghui Tan, Tong Zhang, Shiqian Ma, Ji Liu
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity. CoRR (2018)
Conghui Tan, Tong Zhang, Shiqian Ma, Ji Liu
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity. NeurIPS (2018)
Xiao Wang, Shiqian Ma, Ya-Xiang Yuan
Penalty methods with stochastic approximation for stochastic nonlinear programming. Math. Comput. 86 (306) (2017)
Shixiang Chen, Shiqian Ma, Wei Liu
Geometric Descent Method for Convex Composite Minimization. NIPS (2017)
Li Shen, Wei Liu, Ganzhao Yuan, Shiqian Ma
GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization. ICML (2017)
Xiao Wang, Shiqian Ma, Donald Goldfarb, Wei Liu
Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization. SIAM J. Optim. 27 (2) (2017)
Tianyi Lin, Shiqian Ma, Shuzhong Zhang
An Extragradient-Based Alternating Direction Method for Convex Minimization. Found. Comput. Math. 17 (1) (2017)
Li Shen, Wei Liu, Junzhou Huang, Yu-Gang Jiang, Shiqian Ma
Adaptive Proximal Average Approximation for Composite Convex Minimization. AAAI (2017)
Shixiang Chen, Shiqian Ma
Geometric descent method for convex composite minimization. CoRR (2016)
Shiqian Ma
Alternating Proximal Gradient Method for Convex Minimization. J. Sci. Comput. 68 (2) (2016)
Conghui Tan, Shiqian Ma, Yu-Hong Dai, Yuqiu Qian
Barzilai-Borwein Step Size for Stochastic Gradient Descent. CoRR (2016)
Tianyi Lin, Shiqian Ma, Shuzhong Zhang
Iteration Complexity Analysis of Multi-block ADMM for a Family of Convex Minimization Without Strong Convexity. J. Sci. Comput. 69 (1) (2016)
Conghui Tan, Shiqian Ma, Yu-Hong Dai, Yuqiu Qian
Barzilai-Borwein Step Size for Stochastic Gradient Descent. NIPS (2016)
Xiao Wang, Shiqian Ma, Donald Goldfarb, Wei Liu
Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization. CoRR (2016)
Bo Jiang, Tianyi Lin, Shiqian Ma, Shuzhong Zhang
Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis. CoRR (2016)
Ya-Feng Liu, Shiqian Ma, Yu-Hong Dai, Shuzhong Zhang
minimization over polyhedron. Math. Program. 158 (1-2) (2016)
Tianyi Lin, Shiqian Ma, Shuzhong Zhang
Global Convergence of Unmodified 3-Block ADMM for a Class of Convex Minimization Problems. CoRR (2015)
Zhiwei (Tony) Qin, Donald Goldfarb, Shiqian Ma
An alternating direction method for total variation denoising. Optim. Methods Softw. 30 (3) (2015)
Xiao Wen, Linbo Qiao, Shiqian Ma, Wei Liu, Hong Cheng
Sparse Subspace Clustering for Incomplete Images. ICCV Workshops (2015)
Caihua Chen, Raymond H. Chan, Shiqian Ma, Junfeng Yang
Inertial Proximal ADMM for Linearly Constrained Separable Convex Optimization. SIAM J. Imaging Sci. 8 (4) (2015)
Tianyi Lin, Shiqian Ma, Shuzhong Zhang
On the Global Linear Convergence of the ADMM with MultiBlock Variables. SIAM J. Optim. 25 (3) (2015)
Ya-Feng Liu, Yu-Hong Dai, Shiqian Ma
Approximation and An Effective Polynomial Time Deflation Approach. IEEE Trans. Signal Process. 63 (14) (2015)
Bo Jiang, Shiqian Ma, Shuzhong Zhang
Tensor principal component analysis via convex optimization. Math. Program. 150 (2) (2015)
Caihua Chen, Shiqian Ma, Junfeng Yang
A General Inertial Proximal Point Algorithm for Mixed Variational Inequality Problem. SIAM J. Optim. 25 (4) (2015)
Wei Liu, Cun Mu, Rongrong Ji, Shiqian Ma, John R. Smith, Shih-Fu Chang
Low-Rank Similarity Metric Learning in High Dimensions. AAAI (2015)
Necdet Serhat Aybat, Donald Goldfarb, Shiqian Ma
Efficient algorithms for robust and stable principal component pursuit problems. Comput. Optim. Appl. 58 (1) (2014)
Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyayn, Shiqian Ma, Zhi-Quan Luo
A block coordinate descent method of multipliers: Convergence analysis and applications. ICASSP (2014)
Weiwei Shen, Jun Wang, Shiqian Ma
Doubly Regularized Portfolio with Risk Minimization. AAAI (2014)
Xiangfeng Wang, Mingyi Hong, Shiqian Ma, Zhi-Quan Luo
Solving Multiple-Block Separable Convex Minimization Problems Using Two-Block Alternating Direction Method of Multipliers. CoRR (2013)
Bo Huang, Shiqian Ma, Donald Goldfarb
Accelerated Linearized Bregman Method. J. Sci. Comput. 54 (2-3) (2013)
Ya-Feng Liu, Yu-Hong Dai, Shiqian Ma
Joint Power and Admission Control: Non-Convex Approximation and An Efficient Polynomial Time Deflation Approach. CoRR (2013)
Donald Goldfarb, Shiqian Ma, Katya Scheinberg
Fast alternating linearization methods for minimizing the sum of two convex functions. Math. Program. 141 (1-2) (2013)
Shiqian Ma, Lingzhou Xue, Hui Zou
Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection. Neural Comput. 25 (8) (2013)
Donald Goldfarb, Shiqian Ma
Fast Multiple-Splitting Algorithms for Convex Optimization. SIAM J. Optim. 22 (2) (2012)
Shiqian Ma, Donald Goldfarb, Lifeng Chen
Fixed point and Bregman iterative methods for matrix rank minimization. Math. Program. 128 (1-2) (2011)
Bo Huang, Shiqian Ma, Donald Goldfarb
Accelerated Linearized Bregman Method CoRR (2011)
Donald Goldfarb, Shiqian Ma
Convergence of Fixed-Point Continuation Algorithms for Matrix Rank Minimization. Found. Comput. Math. 11 (2) (2011)
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, Peng Liu
Semi-supervised sparse metric learning using alternating linearization optimization. KDD (2010)
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
Sparse Inverse Covariance Selection via Alternating Linearization Methods CoRR (2010)
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
Sparse Inverse Covariance Selection via Alternating Linearization Methods. NIPS (2010)
Yanfei Wang, Shiqian Ma
A fast subspace method for image deblurring. Appl. Math. Comput. 215 (6) (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shiqian Ma