New bounds Under Restricted Isometry for the exact k-sparse recovery via ℓq minimization. - Chao-Bing Song; Shu-Tao Xia (CoRR, 2013)

Subspace Thresholding Pursuit: A Reconstruction Algorithm for Compressed Sensing. - Chao-Bing Song; Shu-Tao Xia (CoRR, 2013)

Improved Analyses for SP and CoSaMP Algorithms in Terms of Restricted Isometry Constants. - Chao-Bing Song; Shu-Tao Xia; Xin-Ji Liu (CoRR, 2013)

Improved Analysis for Subspace Pursuit Algorithm in Terms of Restricted Isometry Constant. - Chao-Bing Song; Shu-Tao Xia; Xin-Ji Liu (IEEE Signal Process. Lett., 2014)

PMPA: A patch-based multiscale products algorithm for image denoising. - Tao Dai 001; Chao-Bing Song; Jiping Zhang; Shu-Tao Xia (ICIP, 2015)

Subspace thresholding pursuit: A reconstruction algorithm for compressed sensing. - Chao-Bing Song; Shu-Tao Xia; Xin-Ji Liu (ISIT, 2015)

Improving Decision Trees Using Tsallis Entropy. - Yisen Wang 001; Chao-Bing Song; Shu-Tao Xia (CoRR, 2015)

Improving decision trees by Tsallis Entropy Information Metric method. - Yisen Wang 001; Chao-Bing Song; Shu-Tao Xia (IJCNN, 2016)

Alternating direction algorithms for ℓ0 regularization in compressed sensing. - Chao-Bing Song; Shu-Tao Xia (CoRR, 2016)

Bayesian linear regression with Student-t assumptions. - Chao-Bing Song; Shu-Tao Xia (CoRR, 2016)

Nonextensive information theoretical machine. - Chao-Bing Song; Shu-Tao Xia (CoRR, 2016)

Improved Optimization Methods for Regularized Optimal Transport. - Shaobo Cui 003; Chao-Bing Song; Yong Jiang 001 (ICTAI, 2017)

Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex. - Chao-Bing Song; Shaobo Cui 003; Yong Jiang 001; Shu-Tao Xia (NIPS, 2017)

Fully Implicit Online Learning. - Chao-Bing Song; Ji Liu 001; Han Liu 001; Yong Jiang 001; Tong Zhang 001 (CoRR, 2018)

Towards Unified Acceleration of High-Order Algorithms under Hölder Continuity and Uniform Convexity. - Chaobing Song; Yi Ma 001 (CoRR, 2019)

Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization. - Chaobing Song; Yong Jiang 001; Yi Ma 001 (NeurIPS, 2020)

Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities. - Chaobing Song; Zhengyuan Zhou; Yichao Zhou 003; Yong Jiang 001; Yi Ma 001 (NeurIPS, 2020)

Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction. - Yaodong Yu; Kwan Ho Ryan Chan; Chong You; Chaobing Song; Yi Ma 001 (NeurIPS, 2020)

Stochastic Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization. - Chaobing Song; Yong Jiang 001; Yi Ma 001 (CoRR, 2020)

Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums. - Chaobing Song; Stephen J. Wright 001; Jelena Diakonikolas (ICML, 2021)

Fast Cyclic Coordinate Dual Averaging with Extrapolation for Generalized Variational Inequalities. - Chaobing Song; Jelena Diakonikolas (CoRR, 2021)

Unified Acceleration of High-Order Algorithms under General Hölder Continuity. - Chaobing Song; Yong Jiang 001; Yi Ma 001 (SIAM J. Optim., 2021)

Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions. - Xufeng Cai; Chaobing Song; Cristóbal Guzmán; Jelena Diakonikolas (NeurIPS, 2022)

A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data. - Jelena Diakonikolas; Chenghui Li; Swati Padmanabhan; Chaobing Song (NeurIPS, 2022)

Coordinate Linear Variance Reduction for Generalized Linear Programming. - Chaobing Song; Cheuk Yin Lin; Stephen J. Wright 001; Jelena Diakonikolas (NeurIPS, 2022)

A Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusion Problems. - Xufeng Cai; Chaobing Song; Cristóbal Guzmán; Jelena Diakonikolas (CoRR, 2022)

Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization. - Xufeng Cai; Chaobing Song; Stephen J. Wright 001; Jelena Diakonikolas (ICML, 2023)

Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization. - Cheuk Yin Lin; Chaobing Song; Jelena Diakonikolas (ICML, 2023)

Cyclic Coordinate Dual Averaging with Extrapolation. - Chaobing Song; Jelena Diakonikolas (SIAM J. Optim., 2023)