Publications

Penghao Cai, Fuqian Yang, Jianjia Wang, Xing Wu, Yang Yang, Xiliang Luo (2020). JOTE: Joint Offloading of Tasks and Energy in Fog-Enabled IoT Networks. IEEE Internet of Things Journal.

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Jianjia Wang, Richard C Wilson, Edwin R Hancock (2020). Directed and undirected network evolution from Euler--Lagrange dynamics. Pattern Recognition Letters.

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Jianjia Wang, Chenyue Lin, Yilei Wang (2019). Thermodynamic Entropy in Quantum Statistics for Stock Market Networks. Complexity.

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Zhihong Zhang, Dongdong Chen, Jianjia Wang, Lu Bai, Edwin R Hancock (2019). Quantum-based subgraph convolutional neural networks. Pattern Recognition.

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Jianjia Wang, Richard C Wilson, Edwin R Hancock (2019). Graph Edge Entropy in Maxwell-Boltzmann Statistics for Alzheimer’s Disease Analysis. International Workshop on Graph-Based Representations in Pattern Recognition.

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Jianjia Wang, Richard C Wilson, Edwin R Hancock (2018). Directed Graph Evolution from Euler-Lagrange Dynamics. 2018 24th International Conference on Pattern Recognition (ICPR).

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Jianjia Wang, Richard C Wilson, Edwin R Hancock (2017). Spin statistics, partition functions and network entropy. Journal of Complex Networks.

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Jianjia Wang, Richard C Wilson, Edwin R Hancock (2017). Network edge entropy from Maxwell-Boltzmann statistics. International Conference on Image Analysis and Processing.

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Jianjia Wang, Richard C Wilson, Edwin R Hancock (2017). Minimising entropy changes in dynamic network evolution. International Workshop on Graph-Based Representations in Pattern Recognition.

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Jianjia Wang, Richard C Wilson, Edwin R Hancock (2017). Euler-Lagrange Network Dynamics. International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition.

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Jianjia Wang, Richard C Wilson, Edwin R Hancock (2017). Detecting Alzheimer’s disease using directed graphs. International Workshop on Graph-Based Representations in Pattern Recognition.

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Jianjia Wang, Richard C Wilson, Edwin R Hancock (2016). Thermodynamic network analysis with quantum spin statistics. Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR).

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Jianjia Wang, Richard C Wilson, Edwin R Hancock (2016). Network entropy analysis using the Maxwell-Boltzmann partition function. 2016 23rd International Conference on Pattern Recognition (ICPR).

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Jianjia Wang, Richard C Wilson, Edwin R Hancock (2016). fMRI activation network analysis using bose-einstein entropy. Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR).

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