Caihua Chen

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 18

Top Topics

Convergence Rate

Variational Inequalities

Convex Minimization

Active Learning

Top Venues

J. Optim. Theory Appl.

J. Glob. Optim.

Publications

Chao Zhang, Huaxiong Li, Caihua Chen, Xiuyi Jia, Chunlin Chen
Low-Rank Tensor Regularized Views Recovery for Incomplete Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Dali Chen, Yuwei Wu, Jingquan Li, Xiaohui Ding, Caihua Chen
Distributionally robust mean-absolute deviation portfolio optimization using wasserstein metric. J. Glob. Optim. 87 (2) (2023)
Caihua Chen, Xinjing Wang, Huachao Dong, Peng Wang
Surrogate-assisted hierarchical learning water cycle algorithm for high-dimensional expensive optimization. Swarm Evol. Comput. 75 (2022)
Jinglu Li, Peng Wang, Huachao Dong, Jiangtao Shen, Caihua Chen
A classification surrogate-assisted multi-objective evolutionary algorithm for expensive optimization. Knowl. Based Syst. 242 (2022)
Caihua Chen
An analysis of Mandarin emotional tendency recognition based on expression spatiotemporal feature recognition. Int. J. Biom. 13 (2/3) (2021)
Peixuan Li, Yuan Shen, Suhong Jiang, Zehua Liu, Caihua Chen
Convergence study on strictly contractive Peaceman-Rachford splitting method for nonseparable convex minimization models with quadratic coupling terms. Comput. Optim. Appl. 78 (1) (2021)
Caihua Chen
Research on high accuracy mandarin emotion recognition method based on local optimal algorithms. Int. J. Inf. Commun. Technol. 18 (4) (2021)
Caihua Chen, Peng Wang, Huachao Dong, Xinjing Wang
Hierarchical Learning Water Cycle Algorithm. Appl. Soft Comput. 86 (2020)
Jiajin Li, Caihua Chen, Anthony Man-Cho So
Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine. NeurIPS (2020)
Yue Zhao, Yuwei Wu, Caihua Chen, Andrew Lim
On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial Attacks. CoRR (2020)
Jiajin Li, Caihua Chen, Anthony Man-Cho So
Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine. CoRR (2020)
Yue Zhao, Yuwei Wu, Caihua Chen, Andrew Lim
On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks. CVPR (2020)
Caihua Chen, Min Li, Xin Liu, Yinyu Ye
Extended ADMM and BCD for nonseparable convex minimization models with quadratic coupling terms: convergence analysis and insights. Math. Program. 173 (1-2) (2019)
Caihua Chen, Peng Wang, Huachao Dong, Xinjing Wang
Enhanced Water Cycle Algorithm with Active Learning and Return Strategy. CEC (2019)
Suhong Jiang, Jin Zhang, Caihua Chen, Gui-Hua Lin
Smoothing partial exact penalty splitting method for mathematical programs with equilibrium constraints. J. Glob. Optim. 70 (1) (2018)
Caihua Chen, Xiaoling Fu, Bingsheng He, Xiaoming Yuan
On the Iteration Complexity of Some Projection Methods for Monotone Linear Variational Inequalities. J. Optim. Theory Appl. 172 (3) (2017)
Caihua Chen, Bingsheng He, Yinyu Ye, Xiaoming Yuan
The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent. Math. Program. 155 (1-2) (2016)
Caihua Chen, Yong-Jin Liu, Defeng Sun, Kim-Chuan Toh
A semismooth Newton-CG based dual PPA for matrix spectral norm approximation problems. Math. Program. 155 (1-2) (2016)
Caihua Chen, Min Li, Xiaoming Yuan
Further Study on the Convergence Rate of Alternating Direction Method of Multipliers with Logarithmic-quadratic Proximal Regularization. J. Optim. Theory Appl. 166 (3) (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)
Caihua Chen, Shiqian Ma, Junfeng Yang
A General Inertial Proximal Point Algorithm for Mixed Variational Inequality Problem. SIAM J. Optim. 25 (4) (2015)
Peng Ye, José L. Paredes, Gonzalo R. Arce, Yuehao Wu, Caihua Chen, Dennis W. Prather
Compressive confocal microscopy. ICASSP (2009)