Lei Xun
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