News
Research Intern at KAUST. Jan. - Apr. 2022
Google Developer Machine Learning Bootcamp in Europe. July - Oct. 2022
Finally donated my hair (since 2020) to the Little Princess Trust. 4th May 2023
Jiuxi Meng is a final-year Ph.D. student at Imperial College London, advised by Professor Wayne Luk Wayne Luk in the Custom Computing Group. Before joining the group, he obtained his bachelor's degree from the Department of Electronics and Computer Science at the University of Southampton.
His current research interests are in FPGA-based switch design, cloud architecture, hardware acceleration and machine learning.
Jiuxi Meng
Jiuxi Meng is a final-year Ph.D. student at Imperial College London, advised by Professor Wayne Luk in the Custom Computing Group. Before joining the group, he obtained his bachelor's degree from the Department of Electronics and Computer Science at the University of Southampton.
His current research interests are in FPGA-based switch design, cloud architecture, hardware acceleration and machine learning.
Education
Imperial College London
Ph.D - Custom Computing, Department of Computing
2018-2023
Imperial College London
MSc - Analog and Digital Integrated Circuit Design
2016-2017
Distinction
University of Southampton
B.Eng - Department of Electronics and Computer Science
2013-2016
First Class Honour
Publications
Scheduling Algorithms for High Performance Network Switching on FPGAs: A SurveyNadeen Gebara, Jiuxi Meng, Wayne Luk, Paolo Costa
International Conference on Field-Programmable Technology, FPT 2018, Naha, Okinawa, Japan, December 10-14, 2018
[Paper]
Investigating the Feasibility of FPGA-based
Network Switches
Jiuxi Meng,
Nadeen Gebara,
Paolo Costa
Wayne Luk
30th IEEE International Conference on Application-specific Systems, Architectures and
Processors, ASAP 2019, New York, NY, USA
[Paper]
High-Performance FPGA Network Switch
Architecture
Philippos Papaphilippou,
Jiuxi Meng,
Wayne Luk
FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays,
Seaside, CA, USA, February 23-25, 2020. ACM 2020, ISBN 978-1-4503-7099-8
[Paper]
(Best Paper Candidate)
Fast and Accurate Training of Ensemble Models
with FPGA-based Switch
Jiuxi Meng,
Nadeen Gebara,
Ce Guo,
Wayne Luk
31st IEEE International Conference on Application-specific Systems, Architectures and
Processors , ASAP 2020, Manchester, United Kingdom, July 6-8, 2020. IEEE 2020, ISBN
978-1-7281-7147-0
[Paper]