Guangyu Xiang
Ph.D. Student in Data Science and Analytics · HKUST(GZ)
I am a second-year Ph.D. student in Data Science and Analytics at The Hong Kong University of Science and Technology (Guangzhou), advised by Prof. Xiaowen Chu. My research focuses on machine learning systems, particularly efficient and elastic systems for large language model training and inference. My broader interests include GPU computing, distributed systems, and communication–computation co-optimization.
Before joining HKUST(GZ), I received my master’s degree in Software Engineering from Peking University and my bachelor’s degree in Software Engineering from the University of Electronic Science and Technology of China.
Education
2025–Present
The Hong Kong University of Science and Technology (Guangzhou) HKUST(GZ)
Ph.D. in Data Science and Analytics
2021–2024
Peking University PKU
Master's Degree in Software Engineering
2017–2021
University of Electronic Science and Technology of China UESTC
Bachelor's Degree in Software Engineering
Research Interests
- Diffusion Models and Diffusion Transformers (DiTs)
- Communication–Computation Co-optimization
- Efficient and Elastic LLM Training and Inference
- GPU Computing and AI Compilers
- Distributed Systems
News
| Jul 2026 | Xema is available on arXiv. |
|---|---|
| Jun 2026 | KernelFlume is available on arXiv. |
| May 2026 | Compass appeared at IEEE INFOCOM 2026. |
Selected Publications
Experience
Research Intern, Systems Research Group
Microsoft Research Asia MSRA
FlashAttention · CUDA · Compiler
R&D Engineer Intern, AI Framework Team
OneFlow
MLIR · PDLL · Operator Fusion
AI Compiler Engineer Intern
AMD
TVM Relay · Quantization · AIE
AI Development Engineer Intern
Peng Cheng Laboratory PCL
HPC · Resource Management · Job Scheduling
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