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Jianchao Bai
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2020 – today
- 2024
- [j19]Yuxuan Zeng, Zhiguo Wang, Jianchao Bai, Xiaojing Shen:
An accelerated stochastic ADMM for nonconvex and nonsmooth finite-sum optimization. Autom. 163: 111554 (2024) - [j18]Ming Yuan, Jianchao Bai, Feng Jiang, Lin Du:
A systematic DNN weight pruning framework based on symmetric accelerated stochastic ADMM. Neurocomputing 575: 127327 (2024) - [j17]Ping-Fan Dai, Jianchao Bai, Jicheng Li:
A General Preconditioner for Tensor Complementarity Problems. J. Sci. Comput. 98(1): 3 (2024) - [j16]Jianchao Bai, Linyuan Jia, Zheng Peng
:
A New Insight on Augmented Lagrangian Method with Applications in Machine Learning. J. Sci. Comput. 99(2): 53 (2024) - [j15]Ming Yuan, Lin Du
Reweighted Alternating Direction Method of Multipliers for DNN weight pruning. Neural Networks 179: 106534 (2024) - 2022
- [j14]Jianchao Bai
An inexact accelerated stochastic ADMM for separable convex optimization. Comput. Optim. Appl. 81(2): 479-518 (2022) - 2021
- [j13]Xiaokai Chang
A Projected Extrapolated Gradient Method with Larger Step Size for Monotone Variational Inequalities. J. Optim. Theory Appl. 190(2): 602-627 (2021) - [j12]Yuntong Bai
A Joint Analysis of Multi-Paradigm fMRI Data With Its Application to Cognitive Study. IEEE Trans. Medical Imaging 40(3): 951-962 (2021) - [i6]Jianchao Bai, Deren Han, Hao Sun, Hongchao Zhang:
Convergence on a symmetric accelerated stochastic ADMM with larger stepsizes. CoRR abs/2103.16154 (2021) - [i5]Jianchao Bai, Yuxue Ma, Hao Sun, Miao Zhang:
Iteration complexity analysis of a partial LQP-based alternating direction method of multipliers. CoRR abs/2103.16752 (2021) - [i4]Jianchao Bai:
A New Insight on Augmented Lagrangian Method and Its Extensions. CoRR abs/2108.11125 (2021)
2010 – 2019
- 2019
- [j11]Jianchao Bai
A Family of Multi-Parameterized Proximal Point Algorithms. IEEE Access 7: 164021-164028 (2019) - [j10]Ping-Fan Dai
A preconditioned two-step modulus-based matrix splitting iteration method for linear complementarity problem. Appl. Math. Comput. 348: 542-551 (2019) - [j9]Ping-Fan Dai, Jicheng Li, Jianchao Bai
New error bounds for linear complementarity problems of S-Nekrasov matrices and B-S-Nekrasov matrices. Comput. Appl. Math. 38(2) (2019) - [j8]Jianchao Bai
General parameterized proximal point algorithm with applications in statistical learning. Int. J. Comput. Math. 96(1): 199-215 (2019) - [i3]Jianchao Bai, Xiaokai Chang, Jicheng Li, Fengmin Xu:
Convergence Revisit on Generalized Symmetric ADMM. CoRR abs/1906.07888 (2019) - [i2]Jianchao Bai, Junli Liang, Ke Guo, Yang Jing:
Accelerated Symmetric ADMM and Its Applications in Signal Processing. CoRR abs/1906.12015 (2019) - [i1]Jianchao Bai, Ke Guo, Xiaokai Chang:
A family of multi-parameterized proximal point algorithms. CoRR abs/1907.04469 (2019) - 2018
- [j7]Jianchao Bai
Generalized symmetric ADMM for separable convex optimization. Comput. Optim. Appl. 70(1): 129-170 (2018) - [j6]Jianchao Bai, Jicheng Li, Junkai Deng:
A class of multilevel structured low-rank approximation arising in material processing. Int. J. Comput. Math. 95(2): 329-340 (2018) - [j5]Jianchao Bai
A novel method for a class of structured low-rank minimizations with equality constraint. J. Comput. Appl. Math. 330: 475-487 (2018) - [j4]Jianchao Bai
A parameterized proximal point algorithm for separable convex optimization. Optim. Lett. 12(7): 1589-1608 (2018) - 2017
- [j3]Ping-Fan Dai
A general preconditioner for linear complementarity problem with an M-matrix. J. Comput. Appl. Math. 317: 100-112 (2017) - 2016
- [j2]Xue-Feng Duan, Jianchao Bai, Jiao-Fen Li
On the low rank solution of the Q-weighted nearest correlation matrix problem. Numer. Linear Algebra Appl. 23(2): 340-355 (2016) - 2015
- [j1]Jianchao Bai
A Class of Weighted Low Rank Approximation of the Positive Semidefinite Hankel Matrix. J. Appl. Math. 2015: 937573:1-937573:7 (2015)
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