👋 I’m a first-year PhD student in computer science, working with Prof. Marco Canini in SANDS Lab. My research interests lie between computer systems and machine learning, devoting to speedup deep learning training via efficient communication such as gradient compression, and optimized communication protocol.
Paper
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(2023).
Global QSGD: Practical Floatless Quantization for Distributed Learning with Theoretical Guarantees.
Preprint (Poster accepted at Eurosys'23).
(2022).
A Convolutional Neural Network Based Maximum Power Point Voltage Forecasting Method for Pavement PV Array.
TIM'22.
(2021).
OpenFunction for Software Defined IoT.
ISNCC'21 Best Paper.
Education
Ph.D student in Computer Science
Master of Science in Computer Science
Master of Science in Applied Computational Science and Engineering
Bachelor of Engineering in Computer Science and Technology
Internship
Research Intern
Microsoft Research Asia
Research Intern
ISTAustria
TopK gradient compression with efficient threshold selection by CUDA/C++.
Engineering Intern
Tencent Cloud
Tencent international website backend developer by GoLang.
Research Intern
The University of Western Australia
YOLO-based splash detection of Western Australia’s coastal highway by Python.
Experience
TA - UESTC & KAUST Summer School
TA - UESTC & KAUST Summer School
Robotics & AI Winter School - Imperial College London Hamlyn Center
Award
Dean’s List Award
I’m into …
Linux
C++/CUDA
Python/PyTorch
Gallery of KAUST
Contact
- 966560569149
- KAUST Campus, Thuwal, Mekka Province 23955
- 4307-WS18, 4th Floor, Building 1