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2020 – today
- 2024
[j10]Jian Du, Haochong Li, Kaikai Lu, Jun Shen, Qi Liao, Jianqin Zheng, Rui Qiu, Yongtu Liang:
DeepPipe: A multi-stage knowledge-enhanced physics-informed neural network for hydraulic transient simulation of multi-product pipeline. J. Ind. Inf. Integr. 42: 100726 (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
- [j9]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) - [j8]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
- [j7]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) - 2021
- [j6]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) - [j5]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) - [j4]Mingyue Lu, Tengfei Lao, Manzhu Yu, Yadong Zhang, Jianqin Zheng, Yuchen Li:
PM2.5 Concentration Forecasting over the Central Area of the Yangtze River Delta Based on Deep Learning Considering the Spatial Diffusion Process. Remote. Sens. 13(23): 4834 (2021) - 2020
- [j3]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
- [j2]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) - 2018
- [j1]Bohong Wang, Yongtu Liang, Jianqin Zheng, Tiantian Lei, Meng Yuan, Haoran Zhang:
A methodology to restructure a pipeline system for an oilfield in the mid to late stages of development. Comput. Chem. Eng. 115: 133-140 (2018)
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