Risk modeling in crude oil market: a comparison of Markov switching and GARCH models. - Cuicui Luo; Luis A. Seco; Haofei Wang; Desheng Dash Wu (Kybernetes, 2010)

Efficiency Evaluation for Supply Chains Using Maximin Decision Support. - Desheng Dash Wu; Cuicui Luo; David L. Olson (IEEE Trans. Syst. Man Cybern. Syst., 2014)

A Decision Support Approach for Accounts Receivable Risk Management. - Desheng Dash Wu; David L. Olson; Cuicui Luo (IEEE Trans. Syst. Man Cybern. Syst., 2014)

Robust DEA to assess the reliability of methyl methacrylate-hardened hybrid poplar wood. - Dexiang Wu; WeiDan Ding; Ahmed Koubaa; Abdelkader Chaala; Cuicui Luo (Ann. Oper. Res., 2017)

A deep learning approach for credit scoring using credit default swaps. - Cuicui Luo; Desheng Wu; Dexiang Wu (Eng. Appl. Artif. Intell., 2017)

Stochastic Correlation in Risk Analytics: A Financial Perspective. - Cuicui Luo; Luis A. Seco (IEEE Syst. J., 2017)

An Approach for Risk Prioritization in Construction Projects Using Analytic Network Process and Decision Making Trial and Evaluation Laboratory. - Amirhossein Karamoozian; Desheng Wu; C. L. Philip Chen; Cuicui Luo (IEEE Access, 2019)

User activity measurement in rating-based online-to-offline (O2O) service recommendation. - Yuchen Pan; Desheng Wu; Cuicui Luo; Alexandre Dolgui (Inf. Sci., 2019)

A comprehensive decision support approach for credit scoring. - Cuicui Luo (Ind. Manag. Data Syst., 2020)

Complete/incomplete multi-view subspace clustering via soft block-diagonal-induced regulariser. - Yongli Hu; Cuicui Luo; Boyue Wang; Junbin Gao; Yanfeng Sun; Baocai Yin (IET Comput. Vis., 2021)

Reinforcement learning based framework for COVID-19 resource allocation. - Kai Zong; Cuicui Luo (Comput. Ind. Eng., 2022)

A comparison analysis for credit scoring using bagging ensembles. - Cuicui Luo (Expert Syst. J. Knowl. Eng., 2022)

Shareability-Exclusivity Representation on Product Grassmann Manifolds for Multi-camera video clustering. - Yongli Hu; Cuicui Luo; Junbin Gao; Boyue Wang; Yanfeng Sun; Baocai Yin (J. Vis. Commun. Image Represent., 2022)

Carbon Emission Market Portfolio Optimization Analysis. - Wenxia Jia; Cuicui Luo (ICMML, 2023)

IdmGAE: Importance-Inspired Dynamic Masking for Graph Autoencoders. - Ge Chen 006; Yulan Hu; Sheng Ouyang; Zhirui Yang; Yong Liu 018; Cuicui Luo (SIGIR, 2024)

Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation. - Ge Chen 006; Yulan Hu; Sheng Ouyang; Yong Liu 018; Cuicui Luo (CoRR, 2024)

AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors. - Hao Shi; Cuicui Luo; Weili Song; Xinting Zhang; Xiang Ao (CoRR, 2024)

AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors. - Hao Shi; Weili Song; Xinting Zhang; Jiahe Shi; Cuicui Luo; Xiang Ao; Hamid Arian; Luis Angel Seco (AAAI, 2025)

FreCT: Frequency-Augmented Convolutional Transformer for Robust Time Series Anomaly Detection. - Wenxin Zhang 005; Ding Xu; Guangzhen Yao; Xiaojian Lin; Renxiang Guan; Chengze Du; Renda Han; Xi Xuan; Cuicui Luo (ICIC (16), 2025)

End-to-End Robust Portfolio Optimization with Neural Network. - Hongbo Sun; Cuicui Luo; Hamid Arian (ISCBI, 2025)

Time-Aware Complex Attention Space for Temporal Knowledge Graph Completion. - Rushan Geng; Cuicui Luo (PAKDD (6), 2025)

Multi-view subspace clustering with incomplete graph information. - Xiaxia He; Boyue Wang; Cuicui Luo; Junbin Gao; Yongli Hu; Baocai Yin (IET Comput. Vis., 2025)

Decomposition-based multi-scale transformer framework for time series anomaly detection. - Wenxin Zhang 005; Cuicui Luo (Neural Networks, 2025)

DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection. - Wenxin Zhang; Xiaojian Lin; Wenjun Yu; Guangzhen Yao; jingxiang Zhong; Yu Li; Renda Han; Songcheng Xu; Hao Shi; Cuicui Luo (CoRR, 2025)

Dual-channel Heterophilic Message Passing for Graph Fraud Detection. - Wenxin Zhang 005; Jingxing Zhong; Guangzhen Yao; Renda Han; Xiaojian Lin; Zeyu Zhang 006; Cuicui Luo (CoRR, 2025)

Decomposition-based multi-scale transformer framework for time series anomaly detection. - Wenxin Zhang; Cuicui Luo (CoRR, 2025)

Addressing Noise and Stochasticity in Fraud Detection for Service Networks. - Wenxin Zhang 005; Ding Xu; Xi Xuan; Lei Jiang; Guangzhen Yao; Renda Han; Xiangxiang Lang; Cuicui Luo (CoRR, 2025)

GE-GNN: Gated Edge-Augmented Graph Neural Network for Fraud Detection. - Wenxin Zhang 005; Cuicui Luo (IEEE Trans. Big Data, 2025)