This site has been permanently archived. This is a static copy provided by the University of Southampton.

The University of Southampton

×

Email:: lx2u16@soton.ac.uk

Lei Xun

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

PhD research
Software and Hardware Co-design for Efficient Acceleration of Embedded Machine Learning

Invited seminar titled "Dynamic DNNs Meet Runtime Resource Management" (Recording)

at University of Cambridge CaMLSys Lab
at Arm Research ML Group

Top-tier publications (Google Scholar)

[CVPR'W 2021] Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms: paper, talk and code
[DATE 2020] Optimising Resource Management for Embedded Machine Learning: paper

Conference talks (Recording)

CVPR'W 2021
TinyML EMEA 2021 (Student poster, ranked 4th of all 50 submissions)
DATE 2020
MLCAD 2019

Internship

Incoming ML Research Intern at Nokia Bell Labs in Cambridge, UK

May 2021 - Feb 2022 CPU Performance Research Intern at Huawei R&D in Cambridge, UK

Freelance

Academic Translator at Nature Portfolio in Shanghai, China

Services

Technical Program Committee Member at CVPR 2022 efficient computer vision workshop
Reviewer at BMVC2021

Supervisor

Professor Geoff Merrett
Professor Jonathon Hare
Professor Bashir M Al-Hashimi CBE FREng FIEEE
Professor Long Tran-Thanh (now with University of Warwick)

Affiliation

International Centre for Spatial Computational Learning (Funded by the UK Engineering and Physical Sciences Research Council EP/S030069/1)
ARM-ECS Research Centre

Education

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

Others

Winner of University of Southampton Big Ideas Fellow (which is an enterprise and entrepreneurship award for my innovative solution for neck pain prevention)
Volunteer at WWF-UK fundraising events
Invited blog post by Nature: Good Research Habits that Can Improve Resilience to Publication Pressure in your PhD

Publications

Contact

Publications

2021

Safarpour, Mehdi, Xun, Lei, Merrett, Geoff and Silven, Olli (2021) A high-level approach for energy efficiency improvement of FPGAs by voltage trimming. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. (doi:10.1109/TCAD.2021.3127153).
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 2021). 6 pp .
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. pp. 3104-3112 .
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.

2020

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 1st ACM/IEEE Workshop on Machine Learning for CAD (MLCAD 2019). pp. 1-6 .
Xun, Lei, Tran-Thanh, Long, Al-Hashimi, Bashir and Merrett, Geoff (2020) Optimising resource management for embedded machine learning. Di Natale, Giorgio, Bolchini, Cristiana and Vatajelu, Elena-Ioana (eds.) In Proceedings of the 2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020. pp. 1556-1561 . (doi:10.23919/DATE48585.2020.9116235).

Dataset

Parry, Hishan (2021) Dataset for "Dynamic Transformer for Efficient Machine Translation on Embedded Devices". University of Southampton doi:10.5258/SOTON/D1908 [Dataset]
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]
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 (2019) Dataset for "Optimising Resource Management for Embedded Machine Learning". University of Southampton doi:10.5258/SOTON/D1154 [Dataset]

Contact

Email: lx2u16@soton.ac.uk

Share this profile Facebook Twitter Weibo

⇧ Back to top