!!Yike Guo - Selected Publications
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D. McGinn, D. McIlwraith and Y. Guo (2018) Toward Open Data Blockchain Analytics: A Bitcoin Perspective In   Royal Society Open Science  5 (8)  Feb 2018( Impact factor 2.15; This paper proposed a new paradigm of blockchain analytics and presented a comprehensive  study of economic behaviour of bitcoins  using open bitcoin transition data)\\
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Dong, H, Guo, Y. and Yang (2018),  Deep Learning Using TensorLayer ( in Chinese). By Publishing House of Electronic Industry of China. (The first text book of deep learning written originally in Chinese)\\
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Dong, H., Yu, S., Wu, C., & Guo, Y. (2017). Semantic Image Synthesis via Adversarial Learning. In Proceeding of International Conference on Computer Vision (ICCV 2017). ( H Index 89; This paper presents a new approach of representative learning with semantic information)\\
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Dong, H., Supratak, A., Mai, L., Liu, F., Oehmichen, A., Yu, S., & Guo, Y. (2017). TensorLayer: A Versatile Library for Efficient Deep Learning Development. In Proceedings of the ACM Multimedia workshop Open Source challenge, 2017  (H Index 44; The system won the Best Open Source Software Award 2017 from ACM SIGMM in the conference) \\
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Wang, Z., Xiao, D., Fang, F.,  Govindan, R., Pain, C. Guo, Y. (2017) Model identification of reduced order fluid dynamics systems using deep learning.  International Journal for Numerical Methods in Fluids  ( Impact factor 1.65; This paper presents a novel design of using  deep  learning for numerical modeling)  \\
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McGinn, D., Birch, D., Akroyd, D., Molina-Solana, M., Guo, Y. & Knottenbelt, W.J. (2016). Visualizing Dynamic Bitcoin Transaction Patterns. Big Data (Impact 1.24; This paper presents world’s first real time visualisation of bitcoin data transaction )\\
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Dustdar, S., Guo, Y., Han, R., Satzger, B., & Truong, H. L. (2012). Programming directives for elastic computing. IEEE Internet Computing, 16(6), 72-77. (Impact factor 2; This paper proposes a novel idea of programming cloud applications) \\
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Tsinalis, O., Matthews, P. M., & Guo, Y. (2015). Automatic sleep stage scoring using time-frequency analysis and stacked sparse autoencoders. Annals of Biomedical Engineering (Impact factor 3.221; This paper presents world’s best result in sleep scoring using deep neural network)\\
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Athey, B. D., Braxenthaler, M., Haas, M., & Guo, Y. (2013). tranSMART: An open source and community-driven informatics and data sharing platform for clinical and translational research. AMIA Summits on Translational Science Proceedings (This paper presents the design and development of tranSMART, a popular open source data warehouse system for translational medicine research)\\
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Han, R., Guo, L., Ghanem, M. M., & Guo, Y. (2012). Lightweight resource scaling for cloud applications. In Proceedings of the 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) (pp. 644-651). IEEE ( H Index 37; This paper presents a novel method for resource scaling for cloud application. It has been cited 150 times since its publication)