Yike Guo - Selected Publications#


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)

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)

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)

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)

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)

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 )

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)

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)

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)

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)

Imprint Privacy policy « This page (revision-4) was last updated on Thursday, 27. September 2018, 13:03 by System
  • operated by