A Stochastic Programming Model for Multi-commodity Redistribution Planning in Disaster Response. - Xuehong Gao; Gyu M. Lee (APMS (1), 2018)

A Stochastic Optimization Model for Commodity Rebalancing Under Traffic Congestion in Disaster Response. - Xuehong Gao (APMS (2), 2019)

Moment-based rental prediction for bicycle-sharing transportation systems using a hybrid genetic algorithm and machine learning. - Xuehong Gao; Gyu M. Lee (Comput. Ind. Eng., 2019)

A Robust Multi-commodity Rebalancing Process in Humanitarian Logistics. - Xuehong Gao; Xuefeng Jin (APMS (1), 2020)

Multi-commodity rebalancing and transportation planning considering traffic congestion and uncertainties in disaster response. - Xuehong Gao; Cejun Cao (Comput. Ind. Eng., 2020)

Multi-modal transportation planning for multi-commodity rebalancing under uncertainty in humanitarian logistics. - Xuehong Gao; Xuefeng Jin; Pai Zheng; Can Cui (Adv. Eng. Informatics, 2021)

A location-driven approach for warehouse location problem. - Xuehong Gao (J. Oper. Res. Soc., 2021)

A note on the warehouse location problem with data contamination. - Xuehong Gao; Can Cui (RAIRO Oper. Res., 2021)

A bi-level stochastic optimization model for multi-commodity rebalancing under uncertainty in disaster response. - Xuehong Gao (Ann. Oper. Res., 2022)

Robust optimization model for medical staff rebalancing problem with data contamination during COVID-19 pandemic. - Xuehong Gao; Guozhong Huang; Qiuhong Zhao; Cejun Cao; Huiling Jiang (Int. J. Prod. Res., 2022)

Analyzing the Severity of Freight Train Derailment Using Choquet Integral-Based Fuzzy Measure Weight Regression. - Haoxuan Li 007; Xuehong Gao; Guozhong Huang (CASE, 2023)

Robust Model Design by Comparative Evaluation of Clustering Algorithms. - Xiaopeng Chen; Chanseok Park; Xuehong Gao; Bosung Kim (IEEE Access, 2023)

Marginal-utility-oriented optimization model for collaborative medical supply rebalancing and allocating in response to epidemics. - Xuehong Gao; Cejun Cao; Zhijin Chen; Guozhong Huang; Huiling Jiang; Liang Zhou (RAIRO Oper. Res., 2023)

Fire propagation-driven dynamic intelligent evacuation model in multifloor hybrid buildings. - Ning Li; Guozhong Huang; Huiling Jiang; Xuehong Gao; Liang Zhou (Adv. Eng. Informatics, 2023)

Blockchain-Enabled Safeguard Mechanism in SCP-Based Relief Supply Chain Designs in Response to Long-Term Disasters. - Xuehong Gao; Zhijin Chen; Guozhong Huang; Ibrahim M. Hezam (IEEE Access, 2024)

A Forest Fire Prediction Model Based on Cellular Automata and Machine Learning. - Xuan Sun; Ning Li; Duoqi Chen; Guang Chen; Changjun Sun; Mulin Shi; Xuehong Gao; Kuo Wang; Ibrahim M. Hezam (IEEE Access, 2024)

Two-stage deep learning-based video image recognition of early fires in heritage buildings. - Shenyuan Gao; Guozhong Huang; Xiaolong Chen; Huiling Jiang; Liang Zhou; Xuehong Gao (Eng. Appl. Artif. Intell., 2024)

Hybrid CBAM-EfficientNetV2 Fire Image Recognition Method with Label Smoothing in Detecting Tiny Targets. - Bo Wang 107; Guozhong Huang; Haoxuan Li 007; Xiaolong Chen; Lei Zhang; Xuehong Gao (Mach. Intell. Res., 2024)

Artificial intelligence's impact on drug delivery in healthcare supply chain management: data, techniques, analysis, and managerial implications. - Ibrahim M. Hezam; Ahmed M. Ali 005; Ahmad M. Alshamrani; Xuehong Gao; Mohamed Abdel-Basset (J. Big Data, 2024)