Jianchao Bai

According to our database, Jianchao Bai authored at least 24 papers between 2015 and 2024.

Collaborative distances:

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

2024

A New Insight on Augmented Lagrangian Method with Applications in Machine Learning.

Jianchao Bai, Linyuan Jia, Zheng Peng

J. Sci. Comput., May, 2024

A General Preconditioner for Tensor Complementarity Problems.

Ping-Fan Dai, Jianchao Bai, Jicheng Li

J. Sci. Comput., January, 2024

Reweighted Alternating Direction Method of Multipliers for DNN weight pruning.

Ming Yuan, Lin Du, Feng Jiang, Jianchao Bai, Guanrong Chen

Neural Networks, 2024

A systematic DNN weight pruning framework based on symmetric accelerated stochastic ADMM.

Ming Yuan, Jianchao Bai, Feng Jiang, Lin Du

Neurocomputing, 2024

An accelerated stochastic ADMM for nonconvex and nonsmooth finite-sum optimization.

Yuxuan Zeng, Zhiguo Wang, Jianchao Bai, Xiaojing Shen

Autom., 2024

2022

An inexact accelerated stochastic ADMM for separable convex optimization.

Jianchao Bai, William W. Hager, Hongchao Zhang

Comput. Optim. Appl., 2022

2021

A Joint Analysis of Multi-Paradigm fMRI Data With Its Application to Cognitive Study.

Yuntong Bai, Yun Gong, Jianchao Bai, Jingyu Liu, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang

IEEE Trans. Medical Imaging, 2021

A Projected Extrapolated Gradient Method with Larger Step Size for Monotone Variational Inequalities.

Xiaokai Chang, Jianchao Bai

J. Optim. Theory Appl., 2021

A New Insight on Augmented Lagrangian Method and Its Extensions.

Jianchao Bai

CoRR, 2021

Iteration complexity analysis of a partial LQP-based alternating direction method of multipliers.

Jianchao Bai, Yuxue Ma, Hao Sun, Miao Zhang

CoRR, 2021

Convergence on a symmetric accelerated stochastic ADMM with larger stepsizes.

Jianchao Bai, Deren Han, Hao Sun, Hongchao Zhang

CoRR, 2021

2019

General parameterized proximal point algorithm with applications in statistical learning.

Jianchao Bai, Jicheng Li, Pingfan Dai, Jiaofen Li

Int. J. Comput. Math., 2019

Accelerated Symmetric ADMM and Its Applications in Signal Processing.

Jianchao Bai, Junli Liang, Ke Guo, Yang Jing

CoRR, 2019

Convergence Revisit on Generalized Symmetric ADMM.

Jianchao Bai, Xiaokai Chang, Jicheng Li, Fengmin Xu

CoRR, 2019

New error bounds for linear complementarity problems of S-Nekrasov matrices and B-S-Nekrasov matrices.

Ping-Fan Dai, Jicheng Li, Jianchao Bai, Liqiang Dong

Comput. Appl. Math., 2019

A preconditioned two-step modulus-based matrix splitting iteration method for linear complementarity problem.

Ping-Fan Dai, Jicheng Li, Jianchao Bai, Jinming Qiu

Appl. Math. Comput., 2019

A Family of Multi-Parameterized Proximal Point Algorithms.

Jianchao Bai, Ke Guo, Xiaokai Chang

IEEE Access, 2019

2018

A parameterized proximal point algorithm for separable convex optimization.

Jianchao Bai, Hongchao Zhang, Jicheng Li

Optim. Lett., 2018

A novel method for a class of structured low-rank minimizations with equality constraint.

Jianchao Bai, Jicheng Li, Fengmin Xu, Pingfan Dai

J. Comput. Appl. Math., 2018

A class of multilevel structured low-rank approximation arising in material processing.

Jianchao Bai, Jicheng Li, Junkai Deng

Int. J. Comput. Math., 2018

Generalized symmetric ADMM for separable convex optimization.

Jianchao Bai, Jicheng Li, Fengmin Xu, Hongchao Zhang

Comput. Optim. Appl., 2018

2017

A general preconditioner for linear complementarity problem with an M-matrix.

Ping-Fan Dai, Jicheng Li, Yao-Tang Li, Jianchao Bai

J. Comput. Appl. Math., 2017

2016

On the low rank solution of the Q-weighted nearest correlation matrix problem.

Xue-Feng Duan, Jianchao Bai, Jiao-Fen Li, Jing-Jing Peng

Numer. Linear Algebra Appl., 2016

2015

A Class of Weighted Low Rank Approximation of the Positive Semidefinite Hankel Matrix.

Jianchao Bai, Xuefeng Duan, Kexin Cheng, Xuewei Zhang

J. Appl. Math., 2015