The University of Southampton
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Electronics and Computer Science
Email:
lx2u16@soton.ac.uk

Lei Xun 

https://www.linkedin.com/in/lx2u16/

About my PhD research:

Research area: Software and Hardware Co-design for Efficient Acceleration of Embedded Machine Learning

Supervisor: Professor Geoff Merrett, Professor Long Tran-Thanh and Professor Bashir M Al-Hashimi

Affiliated to

Education:

  • 2013-2016 BEng Electronic Engineering - 2.1 - University of Sheffield
  • 2016-2017 MSc System on Chip - Distinction - University of Southampton
  • 2018-2022 PhD EEE - University of Southampton

Publications

Xun, Lei, Tran-Thanh, Long, Al-Hashimi, Bashir and Merrett, Geoff (2020) Optimising resource management for embedded machine learning. In Design, Automation and Test in Europe Conference 2020 (DATE'20). 6 pp .

Xun, Lei (2019) Dataset for "Optimising Resource Management for Embedded Machine Learning". University of Southampton doi:10.5258/SOTON/D1154 [Dataset]

Xun, Lei (2020) Dataset for "Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms". University of Southampton doi:10.5258/SOTON/D1245 [Dataset]

Xun, Lei, Tran-Thanh, Long, Al-Hashimi, Bashir and Merrett, Geoff (2020) Incremental training and group convolution pruning for runtime DNN performance scaling on heterogeneous embedded platforms. In ACM/IEEE Workshop on Machine Learning for CAD 2019 (MLCAD'19). pp. 1-6 .

Xun, Lei (2021) Dataset for "Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms". University of Southampton doi:10.5258/SOTON/D1804 [Dataset]

Lou, Wei, Xun, Lei, Sabetsarvestani, Mohammadamin, Bi, Jia, Hare, Jonathon and Merrett, Geoff (2021) Dynamic-OFA: Runtime DNN architecture switching for performance scaling on heterogeneous embedded platforms. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2021. 9 pp .

Xun, Lei, Al-Hashimi, Bashir, Hare, Jonathon and Merrett, Geoff (2021) Runtime DNN performance scaling through resource management on heterogeneous embedded platforms. tinyML EMEA Technical Forum 2021. 07 - 10 Jun 2021.

Parry, Hishan (2021) Dataset for "Dynamic Transformer for Efficient Machine Translation on Embedded Devices". University of Southampton doi:10.5258/SOTON/D1908 [Dataset]

Parry, Hishan, Xun, Lei, Sabetsarvestani, Mohammadamin, Bi, Jia, Hare, Jonathon and Merrett, Geoff (2021) Dynamic transformer for efficient machine translation on embedded devices. In 3rd ACM/IEEE Workshop on Machine Learning for CAD (MLCAD'21). 6 pp . (In Press)

Contact

Email: lx2u16@soton.ac.uk

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