Jianchao Bai

32 papers Journal 32
YearRankTypeTitle / Venue / Authors
2026 J jnl
A hybrid stochastic alternating direction method of multipliers for nonconvex and nonsmooth composite optimization.
Eur. J. Oper. Res.
Yuxuan Zeng, Jianchao Bai, Shengjia Wang, Zhiguo Wang, Xiaojing Shen
2026 J jnl
Closed-Loop Control of Epilepsy Based on Reinforcement Learning.
Int. J. Neural Syst.
Ruimin Dan, Honghui Zhang, Jianchao Bai
2025 J jnl
A Primal-Dual Splitting Algorithm with Convex Combination and Larger Step Sizes for Composite Monotone Inclusion Problems.
SIAM J. Imaging Sci.
Xiaokai Chang, Junfeng Yang, Jianchao Bai, Jianxiong Cao
2025 J jnl
An inexact ADMM for separable nonconvex and nonsmooth optimization.
Comput. Optim. Appl.
Jianchao Bai, Miao Zhang, Hongchao Zhang
2025 J jnl
Convergence Analysis on A Data-Driven Inexact Proximal-Indefinite Stochastic ADMM.
Asia Pac. J. Oper. Res.
Jianchao Bai, Yang Chen, Xingju Cai, Xue Yu
2025 J jnl
Generalized Asymmetric Forward-Backward-Adjoint Algorithms for Convex-Concave Saddle-Point Problem.
J. Sci. Comput.
Jianchao Bai, Yang Chen, Xue Yu, Hongchao Zhang
2025 J jnl
Self-Organized Drone Swarm Waveform and Array Design for DOA Estimation.
IEEE Trans. Signal Process.
Junli Liang, Zhenyunpeng Zhang, Tao Wang, Hing Cheung So, Lixin Li, Zhaozhao Gao, Yunhao Li, Jianchao Bai
2024 J jnl
A General Preconditioner for Tensor Complementarity Problems.
J. Sci. Comput.
Ping-Fan Dai, Jianchao Bai, Jicheng Li
2024 J jnl
A New Insight on Augmented Lagrangian Method with Applications in Machine Learning.
J. Sci. Comput.
Jianchao Bai, Linyuan Jia, Zheng Peng
2024 J jnl
A systematic DNN weight pruning framework based on symmetric accelerated stochastic ADMM.
Neurocomputing
Ming Yuan, Jianchao Bai, Feng Jiang, Lin Du
2024 J jnl
An accelerated stochastic ADMM for nonconvex and nonsmooth finite-sum optimization.
Autom.
Yuxuan Zeng, Zhiguo Wang, Jianchao Bai, Xiaojing Shen
2024 J jnl
Reweighted Alternating Direction Method of Multipliers for DNN weight pruning.
Neural Networks
Ming Yuan, Lin Du, Feng Jiang, Jianchao Bai, Guanrong Chen
2022 J jnl
An inexact accelerated stochastic ADMM for separable convex optimization.
Comput. Optim. Appl.
Jianchao Bai, William W. Hager, Hongchao Zhang
2021 J jnl
A Joint Analysis of Multi-Paradigm fMRI Data With Its Application to Cognitive Study.
IEEE Trans. Medical Imaging
Yuntong Bai, Yun Gong, Jianchao Bai, Jingyu Liu, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang
2021 J jnl
A New Insight on Augmented Lagrangian Method and Its Extensions.
CoRR
Jianchao Bai
2021 J jnl
A Projected Extrapolated Gradient Method with Larger Step Size for Monotone Variational Inequalities.
J. Optim. Theory Appl.
Xiaokai Chang, Jianchao Bai
2021 J jnl
Convergence on a symmetric accelerated stochastic ADMM with larger stepsizes.
CoRR
Jianchao Bai, Deren Han, Hao Sun, Hongchao Zhang
2021 J jnl
Iteration complexity analysis of a partial LQP-based alternating direction method of multipliers.
CoRR
Jianchao Bai, Yuxue Ma, Hao Sun, Miao Zhang
2019 J jnl
A Family of Multi-Parameterized Proximal Point Algorithms.
IEEE Access
Jianchao Bai, Ke Guo, Xiaokai Chang
2019 J jnl
A family of multi-parameterized proximal point algorithms.
CoRR
Jianchao Bai, Ke Guo, Xiaokai Chang
2019 J jnl
A preconditioned two-step modulus-based matrix splitting iteration method for linear complementarity problem.
Appl. Math. Comput.
Ping-Fan Dai, Jicheng Li, Jianchao Bai, Jinming Qiu
2019 J jnl
Accelerated Symmetric ADMM and Its Applications in Signal Processing.
CoRR
Jianchao Bai, Junli Liang, Ke Guo, Yang Jing
2019 J jnl
Convergence Revisit on Generalized Symmetric ADMM.
CoRR
Jianchao Bai, Xiaokai Chang, Jicheng Li, Fengmin Xu
2019 J jnl
General parameterized proximal point algorithm with applications in statistical learning.
Int. J. Comput. Math.
Jianchao Bai, Jicheng Li, Pingfan Dai, Jiaofen Li
2019 J jnl
New error bounds for linear complementarity problems of S-Nekrasov matrices and B-S-Nekrasov matrices.
Comput. Appl. Math.
Ping-Fan Dai, Jicheng Li, Jianchao Bai, Liqiang Dong
2018 J jnl
A class of multilevel structured low-rank approximation arising in material processing.
Int. J. Comput. Math.
Jianchao Bai, Jicheng Li, Junkai Deng
2018 J jnl
A novel method for a class of structured low-rank minimizations with equality constraint.
J. Comput. Appl. Math.
Jianchao Bai, Jicheng Li, Fengmin Xu, Pingfan Dai
2018 J jnl
A parameterized proximal point algorithm for separable convex optimization.
Optim. Lett.
Jianchao Bai, Hongchao Zhang, Jicheng Li
2018 J jnl
Generalized symmetric ADMM for separable convex optimization.
Comput. Optim. Appl.
Jianchao Bai, Jicheng Li, Fengmin Xu, Hongchao Zhang
2017 J jnl
A general preconditioner for linear complementarity problem with an M-matrix.
J. Comput. Appl. Math.
Ping-Fan Dai, Jicheng Li, Yao-Tang Li, Jianchao Bai
2016 J jnl
On the low rank solution of the Q-weighted nearest correlation matrix problem.
Numer. Linear Algebra Appl.
Xue-Feng Duan, Jianchao Bai, Jiao-Fen Li, Jing-Jing Peng
2015 J jnl
A Class of Weighted Low Rank Approximation of the Positive Semidefinite Hankel Matrix.
J. Appl. Math.
Jianchao Bai, Xuefeng Duan, Kexin Cheng, Xuewei Zhang