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Research

Dr Ben Taylor

Former Research Student

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  1. 2017
  2. Published

    Cracking Android pattern lock in five attempts

    Ye, G., Tang, Z., Fang, D., Chen, X., Kim, K. I., Taylor, B. & Wang, Z., 26/02/2017, Proceedings 2017 Network and Distributed System Security Symposium 2017 (NDSS'17). Reston VA: Internet Society, p. 0-0 15 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  3. Published

    Adaptive optimization for OpenCL programs on embedded heterogeneous systems

    Taylor, B., Sanz Marco, V. & Wang, Z., 21/06/2017, LCTES 2017 Proceedings of the 18th ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems. New York: ACM, p. 11-20 10 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  4. Published

    Improving Spark Application Throughput Via Memory Aware Task Co-location: A Mixture of Experts Approach

    Sanz Marco, V., Taylor, B., Porter, B. F. & Wang, Z., 11/12/2017, Middleware '17 Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference. New York: ACM, p. 95-108 14 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  5. 2018
  6. Published

    Adaptive Deep Learning Model Selection on Embedded Systems

    Taylor, B., Sanz Marco, V., Wolff, W., Elkhatib, Y. & Wang, Z., 19/06/2018, LCTES 2018 Proceedings of the 19th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems. New York: ACM, p. 31-43 13 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  7. 2020
  8. Published

    Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection

    Sanz Marco, V., Taylor, B., Wang, Z. & Elkhatib, Y., 1/02/2020, In: ACM Transactions on Embedded Computing. 19, 1, 28 p., 2.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  9. Published

    Efficient deep neural network inference for embedded systems: A mixture of experts approach

    Taylor, B., 22/11/2020, Lancaster University. 172 p.

    Research output: Thesis › Doctoral Thesis

  10. 2021
  11. Published

    Old-growth forest loss and secondary forest recovery across Amazonian countries

    Smith, C. C., Healey, J. R., De Berenguer Cesar, E., Young, P., Taylor, B., Elias, F., Espirito-Santo, F. & Barlow, J., 4/08/2021, In: Environmental Research Letters. 16, 8, 14 p., 085009.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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