A lightweight and efficient encryption scheme based on LFSR. - Guangfu Wu; Keke Wang; Jinjun Zhang; Jiguang He (Int. J. Embed. Syst., 2018)

A systematic framework of vulnerability analysis of a natural gas pipeline network. - Huai Su; Enrico Zio; Jinjun Zhang; Xueyi Li 003 (Reliab. Eng. Syst. Saf., 2018)

An Encoding Algorithm for Minimizing Medium Time and Energy in Wireless Networks. - Qi Wang 039; Qingshan Wang 001; Xuhui Wang; Jinjun Zhang (Wirel. Pers. Commun., 2018)

JCallGraph: Tracing Microservices in Very Large Scale Container Cloud Platforms. - Haifeng Liu; Jinjun Zhang; Huasong Shan; Min Li; Yuan Chen; Xiaofeng He; Xiaowei Li (CLOUD, 2019)

Resilience Assessment of China's Natural Gas Supply System Based on Ecological Network Analysis. - Xueyi Li 003; Jinjun Zhang; Huai Su; Enrico Zio (ICSRS, 2019)

A method for the multi-objective optimization of the operation of natural gas pipeline networks considering supply reliability and operation efficiency. - Huai Su; Enrico Zio; Jinjun Zhang; Xueyi Li 003; Lixun Chi; Lin Fan; Zongjie Zhang (Comput. Chem. Eng., 2019)

Dynamic Reliability Assessment Framework for Integrated Energy Systems Based on the Improved Universal Generating Function. - Lixun Chi; Huai Su; Enrico Zio; Jinjun Zhang (ICSRS, 2021)

Detection Mechanism of Water Content in Oil-Water Emulsions by Coaxial Double Cylinder Electrodes. - Meiyi Qing; Huaqing Liang; Jinjun Zhang; Hamid Esmaeili Najafabadi; Honglei Zhan; Henry Leung (IEEE Trans. Instrum. Meas., 2021)

A Physics-Informed Training Approach for Data-Driven Method in Remaining Useful Life Estimation. - Yuxuan He; Huai Su; Enrico Zio; Lin Fan; Jinjun Zhang (ICSRS, 2022)

A systematic method for the optimization of gas supply reliability in natural gas pipeline network based on Bayesian networks and deep reinforcement learning. - Lin Fan; Huai Su; Wei Wang 279; Enrico Zio; Li Zhang; Zhaoming Yang; Shiliang Peng; Weichao Yu; Lili Zuo; Jinjun Zhang (Reliab. Eng. Syst. Saf., 2022)

A Low Area and Low Delay Latch Design with Complete Double-Node-Upset-Recovery for Aerospace Applications. - Aibin Yan; Shaojie Wei; Jinjun Zhang; Jie Cui 004; Jie Song; Tianming Ni; Patrick Girard 001; Xiaoqing Wen (ACM Great Lakes Symposium on VLSI, 2023)

A reliability evaluation method for gas transmission pipeline segments with multiple defects. - Weiyuan Peng; Huai Su; Shiliang Peng; Zhaoming Ying; Xiaodong Qin; Qian He; Xiao Wang; Xiaoben Liu; Hong Zhang 004; Jinjun Zhang (ICMML, 2023)

A graph structure feature-based framework for the pattern recognition of the operational states of integrated energy systems. - Li Zhang; Huai Su; Enrico Zio; Luxin Jiang; Lin Fan; Jinjun Zhang (Expert Syst. Appl., 2023)

On the computation of compressible multiphase flows with heat and mass transfer in elastic pipelines. - Chao Zhang; Huai Su; Jinjun Zhang (J. Comput. Phys., 2023)

Recognition of oil & gas pipelines operational states using graph network structural features. - Li Zhang; Laurent Yeh; Huai Su; Karine Zeitouni; Zhiheng Zuo; Miao Li; Luxin Jiang; Lin Fan; Jinjun Zhang (Eng. Appl. Artif. Intell., 2023)

A systematic method of remaining useful life estimation based on physics-informed graph neural networks with multisensor data. - Yuxuan He; Huai Su; Enrico Zio; Shiliang Peng; Lin Fan; Zhaoming Yang; Zhe Yang 014; Jinjun Zhang (Reliab. Eng. Syst. Saf., 2023)

Forecasting Events within Temporal Intervals using First Occurrence Distributions. - Siqi Zhang; Yangge Qian; Tianyi Wang; Jinjun Zhang; Xiaolin Qin (IJCNN, 2024)

A dynamic graph convolutional network-based framework for the unsteady operating states recognition of multi-product pipeline systems. - Li Zhang; Lin Fan; Jianjun Liu; Dingyu Jiao; Yuxuan He; Jing Zhou; Karine Zeitouni; Huai Su; Jinjun Zhang (Eng. Appl. Artif. Intell., 2025)

A systematic resilience assessment framework for multi-state systems based on physics-informed neural network. - Yuxuan He; Enrico Zio; Zhaoming Yang; Qi Xiang; Lin Fan; Qian He; Shiliang Peng; Zongjie Zhang; Huai Su; Jinjun Zhang (Reliab. Eng. Syst. Saf., 2025)

A methodology of natural gas pipeline network system supply resilience optimization: Based on demand-side and data science-driven approach. - Zhiwei Zhao; Zhaoming Yang; Huai Su; Michael H. Faber; Jinjun Zhang (Reliab. Eng. Syst. Saf., 2025)