Caihua Chen

34 papers A* 3B 1Misc 1Journal 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
Computing Perfect Pairwise Stable Networks.
Ann. Oper. Res.
Caihua Chen, Peixuan Li, Junhao Tao, Yang Zhan
2026 A* conf
Conditional Diffusion Model for Multi-Agent Dynamic Task Decomposition.
AAAI
Yanda Zhu, Yuanyang Zhu, Daoyi Dong, Caihua Chen, Chunlin Chen
2026 J jnl
Distribution adversarial gating enhanced prediction model for carbon emission with multi-agent automated modeling framework.
Eng. Appl. Artif. Intell.
Qingyang Wang, Piaoyang Zhao, Chengxi She, Yang Chen, Xiangyu Kong, Xuedong Wang, Caihua Chen
2026 J jnl
GCM: Interpretable Multiagent Reinforcement Learning via Graph Cooperation Modeling.
IEEE Trans. Neural Networks Learn. Syst.
Xuefei Wu, Yuanyang Zhu, Caihua Chen, Chunlin Chen
2026 J jnl
Improved bimodal segmentation of multi-light images based on feature fusion.
Pattern Recognit.
Wei Zeng, Yiru Wang, Caihua Chen, Chaoyu Yao, Dongyu Zheng, Sheng Wang
2026 J jnl
Nonconvex Regularization for Markov Decision Processes: Modeling and Algorithms.
IEEE Trans. Autom. Control.
Yuwei Wu, Caihua Chen, Chunlin Chen, Suhong Jiang, Andrew Lim
2025 J jnl
A multi-stage adaptive otsu thresholding algorithm for pore segmentation in rock thin-section images.
Earth Sci. Informatics
Chengzhen Yu, Wenhui Wu, Jun Zheng, Wei Zeng, Dongyu Zheng, Zhiwu Li, Caihua Chen, Sheng Wang
2025 J jnl
AIM-Bench: Evaluating Decision-making Biases of Agentic LLM as Inventory Manager.
CoRR
Xuhua Zhao, Yuxuan Xie, Caihua Chen, Yuxiang Sun
2025 J jnl
Conditional Diffusion Model for Multi-Agent Dynamic Task Decomposition.
CoRR
Yanda Zhu, Yuanyang Zhu, Daoyi Dong, Caihua Chen, Chunlin Chen
2025 J jnl
LEDiT: Your Length-Extrapolatable Diffusion Transformer without Positional Encoding.
CoRR
Shen Zhang, Yaning Tan, Siyuan Liang, Zhaowei Chen, Linze Li, Ge Wu, Yuhao Chen, Shuheng Li, Zhenyu Zhao, Caihua Chen, Jiajun Liang, Yao Tang
2025 J jnl
Pairwise Stability in Weighted Network Formation Games: Selection and Computation.
INFORMS J. Comput.
Caihua Chen, Junhao Tao, Yang Zhan
2025 J jnl
TwoArchRH: Enhanced Two-Archive Algorithm for Many-Objective Optimization.
Symmetry
Jiang Quan, Caihua Chen, Ruoyu Hu, Wei Zeng, Honghui Wang, Guangle Yao
2024 J jnl
Low-Rank Tensor Regularized Views Recovery for Incomplete Multiview Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Chao Zhang, Huaxiong Li, Caihua Chen, Xiuyi Jia, Chunlin Chen
2023 J jnl
Distributionally robust mean-absolute deviation portfolio optimization using wasserstein metric.
J. Glob. Optim.
Dali Chen, Yuwei Wu, Jingquan Li, Xiaohui Ding, Caihua Chen
2022 J jnl
A classification surrogate-assisted multi-objective evolutionary algorithm for expensive optimization.
Knowl. Based Syst.
Jinglu Li, Peng Wang, Huachao Dong, Jiangtao Shen, Caihua Chen
2022 J jnl
Surrogate-assisted hierarchical learning water cycle algorithm for high-dimensional expensive optimization.
Swarm Evol. Comput.
Caihua Chen, Xinjing Wang, Huachao Dong, Peng Wang
2021 J jnl
An analysis of Mandarin emotional tendency recognition based on expression spatiotemporal feature recognition.
Int. J. Biom.
Caihua Chen
2021 J jnl
Convergence study on strictly contractive Peaceman-Rachford splitting method for nonseparable convex minimization models with quadratic coupling terms.
Comput. Optim. Appl.
Peixuan Li, Yuan Shen, Suhong Jiang, Zehua Liu, Caihua Chen
2021 J jnl
Research on high accuracy mandarin emotion recognition method based on local optimal algorithms.
Int. J. Inf. Commun. Technol.
Caihua Chen
2020 A* conf
Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine.
NeurIPS
Jiajin Li, Caihua Chen, Anthony Man-Cho So
2020 J jnl
Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine.
CoRR
Jiajin Li, Caihua Chen, Anthony Man-Cho So
2020 J jnl
Hierarchical Learning Water Cycle Algorithm.
Appl. Soft Comput.
Caihua Chen, Peng Wang, Huachao Dong, Xinjing Wang
2020 A* conf
On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks.
CVPR
Yue Zhao, Yuwei Wu, Caihua Chen, Andrew Lim
2020 J jnl
On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial Attacks.
CoRR
Yue Zhao, Yuwei Wu, Caihua Chen, Andrew Lim
2019 B conf
Enhanced Water Cycle Algorithm with Active Learning and Return Strategy.
CEC
Caihua Chen, Peng Wang, Huachao Dong, Xinjing Wang
2019 J jnl
Extended ADMM and BCD for nonseparable convex minimization models with quadratic coupling terms: convergence analysis and insights.
Math. Program.
Caihua Chen, Min Li, Xin Liu, Yinyu Ye
2018 J jnl
Smoothing partial exact penalty splitting method for mathematical programs with equilibrium constraints.
J. Glob. Optim.
Suhong Jiang, Jin Zhang, Caihua Chen, Gui-Hua Lin
2017 J jnl
On the Iteration Complexity of Some Projection Methods for Monotone Linear Variational Inequalities.
J. Optim. Theory Appl.
Caihua Chen, Xiaoling Fu, Bingsheng He, Xiaoming Yuan
2016 J jnl
A semismooth Newton-CG based dual PPA for matrix spectral norm approximation problems.
Math. Program.
Caihua Chen, Yong-Jin Liu, Defeng Sun, Kim-Chuan Toh
2016 J jnl
The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent.
Math. Program.
Caihua Chen, Bingsheng He, Yinyu Ye, Xiaoming Yuan
2015 J jnl
A General Inertial Proximal Point Algorithm for Mixed Variational Inequality Problem.
SIAM J. Optim.
Caihua Chen, Shiqian Ma, Junfeng Yang
2015 J jnl
Further Study on the Convergence Rate of Alternating Direction Method of Multipliers with Logarithmic-quadratic Proximal Regularization.
J. Optim. Theory Appl.
Caihua Chen, Min Li, Xiaoming Yuan
2015 J jnl
Inertial Proximal ADMM for Linearly Constrained Separable Convex Optimization.
SIAM J. Imaging Sci.
Caihua Chen, Raymond H. Chan, Shiqian Ma, Junfeng Yang
2009 Misc conf
Compressive confocal microscopy.
ICASSP
Peng Ye, José L. Paredes, Gonzalo R. Arce, Yuehao Wu, Caihua Chen, Dennis W. Prather