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ORCIDQi Liao 0001
Person information
- affiliation: China University of Petroleum-Beijing, CUPB, Beijing Key Laboratory of Urban oil and Gas Distribution Technology, China
Other persons with the same name
- Qi Liao — disambiguation page
- Qi Liao 0002
![[0000-0001-5520-157X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5520-157X")
— Central Michigan University, Department of Computer Science, MI, USA (and 1 more) - Qi Liao 0003 — Nokia Bell Labs, End-to-End Network & Service Automation Lab, Stuttgart, Germany (and 2 more)
- Qi Liao 0004 — ShenZhen Polytechnic, School of Economics, China
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2020 – today
- 2024
[i2]Jian Du, Haochong Li, Qi Liao, Jun Shen, Jianqin Zheng, Yongtu Liang:
A Knowledge-Inspired Hierarchical Physics-Informed Neural Network for Pipeline Hydraulic Transient Simulation. CoRR abs/2409.10911 (2024)- [i1]Jian Du, Pengtao Niu, Jianqin Zheng, Qi Liao, Yongtu Liang:
A physics-enhanced multi-modal fused neural network for predicting contamination length interval in pipeline. CoRR abs/2409.12481 (2024) - 2023
- [j18]Rui Qiu, Qi Liao, Renfu Tu, Yingqi Jiao, An Yang, Zhichao Guo, Yongtu Liang:
Pipeline pricing and logistics planning in the refined product supply chain based on fair profit distribution. Comput. Ind. Eng. 175: 108840 (2023) - [j17]Zhuochao Li, Yongtu Liang, Youyi Liang, Qi Liao, Bohong Wang, Liqiao Huang, Jianqin Zheng, Haoran Zhang:
Review on intelligent pipeline technologies: A life cycle perspective. Comput. Chem. Eng. 175: 108283 (2023) - [j16]Jian Du, Jianqin Zheng, Yongtu Liang, Qi Liao, Bohong Wang, Xu Sun, Haoran Zhang, Maher Azaza, Jinyue Yan:
A theory-guided deep-learning method for predicting power generation of multi-region photovoltaic plants. Eng. Appl. Artif. Intell. 118: 105647 (2023) - 2022
- [j15]Liqiao Huang, Qi Liao, Renfu Tu, Yongtu Liang, Haoran Zhang:
Scheduling-based method for estimating remaining capacity of oil product pipeline under the fair opening. Comput. Chem. Eng. 160: 107726 (2022) - [j14]Chang Wang, Jianqin Zheng, Yongtu Liang, Miao Li, Wencai Chen, Qi Liao, Haoran Zhang:
Deeppipe: A hybrid model for multi-product pipeline condition recognition based on process and data coupling. Comput. Chem. Eng. 160: 107733 (2022) - [j13]Weilong Ni, Yongtu Liang, Zhengbing Li, Qi Liao, Siya Cai, Bohong Wang, Haoran Zhang, Yi Wang:
Resilience assessment of the downstream oil supply chain considering the inventory strategy in extreme weather events. Comput. Chem. Eng. 163: 107831 (2022) - 2021
- [j12]Zhengbing Li, Yongtu Liang, Qi Liao, Ning Xu, Jianqin Zheng, Haoran Zhang:
Scheduling of a branched multiproduct pipeline system with robust inventory management. Comput. Ind. Eng. 162: 107760 (2021) - [j11]Jianqin Zheng, Yongtu Liang, Ning Xu, Bohong Wang, Taicheng Zheng, Zhengbing Li, Qi Liao, Haoran Zhang:
Deeppipe: a customized generative model for estimations of liquid pipeline leakage parameters. Comput. Chem. Eng. 149: 107290 (2021) - [j10]Yamin Yan, Pedro M. Castro, Qi Liao, Yongtu Liang:
An effective decomposition algorithm for scheduling branched multiproduct pipelines. Comput. Chem. Eng. 154: 107494 (2021) - 2020
- [j9]Jianqin Zheng, Yuanhao Dai, Yongtu Liang, Qi Liao, Haoran Zhang:
An online real-time estimation tool of leakage parameters for hazardous liquid pipelines. Int. J. Crit. Infrastructure Prot. 31: 100389 (2020)
2010 – 2019
- 2019
- [j8]Zhengbing Li, Qi Liao, Haoran Zhang, Yongtu Liang, Jianqin Zheng, Rui Qiu, Xiaodan Shi:
Robust Optimization for Emergency Scheduling of Oil Products After Disaster. IEEE Access 7: 110794-110811 (2019) - [j7]Wan Zhang, Zhengbing Li, Qi Liao, Haoran Zhang, Bohong Wang, Shuzhe Huang, Ning Xu, Yongtu Liang:
A Stochastic Linear Programming Method for the Reliable Oil Products Supply Chain System With Hub Disruption. IEEE Access 7: 124329-124340 (2019) - [j6]Haoran Zhang, Yongtu Liang, Qi Liao, Jinyu Chen, Wan Zhang, Yin Long, Chen Qian:
Optimal design and operation for supply chain system of multi-state natural gas under uncertainties of demand and purchase price. Comput. Ind. Eng. 131: 115-130 (2019) - [j5]Qi Liao, Pedro M. Castro, Yongtu Liang, Haoran Zhang:
New batch-centric model for detailed scheduling and inventory management of mesh pipeline networks. Comput. Chem. Eng. 130 (2019) - [j4]Xingyuan Zhou, Yongtu Liang, Xin Zhang, Qi Liao, Song Gao, Wan Zhang, Haoran Zhang:
A MILP model for the detailed scheduling of multiproduct pipelines with the hydraulic constraints rigorously considered. Comput. Chem. Eng. 130 (2019) - 2018
- [j3]Haoran Zhang, Meng Yuan, Yongtu Liang, Qi Liao:
A novel particle swarm optimization based on prey-predator relationship. Appl. Soft Comput. 68: 202-218 (2018) - [j2]Qi Liao, Haoran Zhang, Ning Xu, Yongtu Liang, Junao Wang:
A MILP model based on flowrate database for detailed scheduling of a multi-product pipeline with multiple pump stations. Comput. Chem. Eng. 117: 63-81 (2018) - [j1]Haoran Zhang, Yongtu Liang, Qi Liao, Shen Yun, Xiaohan Yang:
A self-learning approach for optimal detailed scheduling of multi-product pipeline. J. Comput. Appl. Math. 327: 41-63 (2018)
Coauthor Index
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