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ORCIDBen Taylor 0001
Person information
- affiliation (PhD 2020): Lancaster University, UK
Other persons with the same name
- Ben Taylor — disambiguation page
- Ben Taylor 0002
![[0000-0001-7476-6701]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-7476-6701")
— University of Sheffield, Department of Multidisciplinary Engineering Education, Department of Automatic Control and Systems Engineering, UK
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2020 – today
- 2020
[b1]Ben Taylor:
Efficient deep neural network inference for embedded systems: a mixture of experts approach. Lancaster University, UK, 2020- [j1]Vicent Sanz Marco, Ben Taylor, Zheng Wang, Yehia Elkhatib:
Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection. ACM Trans. Embed. Comput. Syst. 19(1): 2:1-2:28 (2020)
2010 – 2019
- 2019
- [i3]Vicent Sanz Marco, Ben Taylor, Zheng Wang, Yehia Elkhatib:
Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection. CoRR abs/1911.04946 (2019) - 2018
- [c4]Ben Taylor, Vicent Sanz Marco, Willy Wolff, Yehia Elkhatib, Zheng Wang:
Adaptive deep learning model selection on embedded systems. LCTES 2018: 31-43 - [i2]Ben Taylor, Vicent Sanz Marco, Willy Wolff, Yehia Elkhatib, Zheng Wang:
Adaptive Selection of Deep Learning Models on Embedded Systems. CoRR abs/1805.04252 (2018) - 2017
- [c3]Ben Taylor, Vicent Sanz Marco, Zheng Wang:
Adaptive optimization for OpenCL programs on embedded heterogeneous systems. LCTES 2017: 11-20 - [c2]Vicent Sanz Marco, Ben Taylor, Barry Porter, Zheng Wang:
Improving spark application throughput via memory aware task co-location: a mixture of experts approach. Middleware 2017: 95-108 - [c1]Guixin Ye, Zhanyong Tang, Dingyi Fang, Xiaojiang Chen, Kwang In Kim, Ben Taylor, Zheng Wang:
Cracking Android Pattern Lock in Five Attempts. NDSS 2017 - [i1]Vicent Sanz Marco, Ben Taylor, Barry Porter, Zheng Wang:
Improving Spark Application Throughput Via Memory Aware Task Co-location: A Mixture of Experts Approach. CoRR abs/1710.00610 (2017)
Coauthor Index
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