A novel particle swarm optimization based on prey-predator relationship. - Haoran Zhang 002; Meng Yuan; Yongtu Liang; Qi Liao 001 (Appl. Soft Comput., 2018)

A MILP model based on flowrate database for detailed scheduling of a multi-product pipeline with multiple pump stations. - Qi Liao 001; Haoran Zhang 002; Ning Xu 014; Yongtu Liang; Junao Wang (Comput. Chem. Eng., 2018)

A self-learning approach for optimal detailed scheduling of multi-product pipeline. - Haoran Zhang 002; Yongtu Liang; Qi Liao 001; Shen Yun; Xiaohan Yang (J. Comput. Appl. Math., 2018)

Robust Optimization for Emergency Scheduling of Oil Products After Disaster. - Zhengbing Li; Qi Liao 001; Haoran Zhang 002; Yongtu Liang; Jianqin Zheng; Rui Qiu; Xiaodan Shi (IEEE Access, 2019)

A Stochastic Linear Programming Method for the Reliable Oil Products Supply Chain System With Hub Disruption. - Wan Zhang; Zhengbing Li; Qi Liao 001; Haoran Zhang 002; Bohong Wang; Shuzhe Huang; Ning Xu 014; Yongtu Liang (IEEE Access, 2019)

Optimal design and operation for supply chain system of multi-state natural gas under uncertainties of demand and purchase price. - Haoran Zhang 002; Yongtu Liang; Qi Liao 001; Jinyu Chen; Wan Zhang; Yin Long; Chen Qian (Comput. Ind. Eng., 2019)

New batch-centric model for detailed scheduling and inventory management of mesh pipeline networks. - Qi Liao 001; Pedro M. Castro; Yongtu Liang; Haoran Zhang 002 (Comput. Chem. Eng., 2019)

A MILP model for the detailed scheduling of multiproduct pipelines with the hydraulic constraints rigorously considered. - Xingyuan Zhou; Yongtu Liang; Xin Zhang; Qi Liao 001; Song Gao; Wan Zhang; Haoran Zhang 002 (Comput. Chem. Eng., 2019)

An online real-time estimation tool of leakage parameters for hazardous liquid pipelines. - Jianqin Zheng; Yuanhao Dai; Yongtu Liang; Qi Liao 001; Haoran Zhang 002 (Int. J. Crit. Infrastructure Prot., 2020)

Scheduling of a branched multiproduct pipeline system with robust inventory management. - Zhengbing Li; Yongtu Liang; Qi Liao 001; Ning Xu 014; Jianqin Zheng; Haoran Zhang 002 (Comput. Ind. Eng., 2021)

An effective decomposition algorithm for scheduling branched multiproduct pipelines. - Yamin Yan; Pedro M. Castro; Qi Liao 001; Yongtu Liang (Comput. Chem. Eng., 2021)

Deeppipe: a customized generative model for estimations of liquid pipeline leakage parameters. - Jianqin Zheng; Yongtu Liang; Ning Xu 014; Bohong Wang; Taicheng Zheng; Zhengbing Li; Qi Liao 001; Haoran Zhang 002 (Comput. Chem. Eng., 2021)

Scheduling-based method for estimating remaining capacity of oil product pipeline under the fair opening. - Liqiao Huang; Qi Liao 001; Renfu Tu; Yongtu Liang; Haoran Zhang 002 (Comput. Chem. Eng., 2022)

Resilience assessment of the downstream oil supply chain considering the inventory strategy in extreme weather events. - Weilong Ni; Yongtu Liang; Zhengbing Li; Qi Liao 001; Siya Cai; Bohong Wang; Haoran Zhang 002; Yi Wang 034 (Comput. Chem. Eng., 2022)

Deeppipe: A hybrid model for multi-product pipeline condition recognition based on process and data coupling. - Chang Wang; Jianqin Zheng; Yongtu Liang; Miao Li; Wencai Chen; Qi Liao 001; Haoran Zhang 002 (Comput. Chem. Eng., 2022)

Pipeline pricing and logistics planning in the refined product supply chain based on fair profit distribution. - Rui Qiu; Qi Liao 001; Renfu Tu; Yingqi Jiao; An Yang; Zhichao Guo; Yongtu Liang (Comput. Ind. Eng., 2023)

A theory-guided deep-learning method for predicting power generation of multi-region photovoltaic plants. - Jian Du; Jianqin Zheng; Yongtu Liang; Qi Liao 001; Bohong Wang; Xu Sun; Haoran Zhang 002; Maher Azaza; Jinyue Yan (Eng. Appl. Artif. Intell., 2023)

Review on intelligent pipeline technologies: A life cycle perspective. - Zhuochao Li; Yongtu Liang; Youyi Liang; Qi Liao 001; Bohong Wang; Liqiao Huang; Jianqin Zheng; Haoran Zhang 002 (Comput. Chem. Eng., 2023)

A Knowledge-Inspired Hierarchical Physics-Informed Neural Network for Pipeline Hydraulic Transient Simulation. - Jian Du; Haochong Li; Qi Liao 001; Jun Shen 001; Jianqin Zheng; Yongtu Liang (CoRR, 2024)

A physics-enhanced multi-modal fused neural network for predicting contamination length interval in pipeline. - Jian Du; Pengtao Niu; Jianqin Zheng; Qi Liao 001; Yongtu Liang (CoRR, 2024)

DeepPipe: A multi-stage knowledge-enhanced physics-informed neural network for hydraulic transient simulation of multi-product pipeline. - Jian Du; Haochong Li; Kaikai Lu; Jun Shen 001; Qi Liao 001; Jianqin Zheng; Rui Qiu; Yongtu Liang (J. Ind. Inf. Integr., 2024)

Reinforcement Learning (RL) Meets Urban Climate Modeling: Investigating the Efficacy and Impacts of RL-Based HVAC Control. - Junjie Yu; John S. Schreck; David John Gagne; Keith W. Oleson; Jie Li; Yongtu Liang; Qi Liao 001; Mingfei Sun 001; David O. Topping; Zhonghua Zheng (CoRR, 2025)