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

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

  1. Xema: Efficient Diffusion Serving through Fine-Grained Memory Management and Auto-Configuration
    Xueze Kang*, Guangyu Xiang*, Suyi Li, Yuxin Wang, Shaohuai Shi, Lin Zhang, and Xiaowen Chu
    arXiv preprint arXiv:2607.11136, 2026
  2. KernelFlume: Elastic Core-Attention Scaling for Agentic Long-Context Decoding
    Guangyu Xiang*, Xueze Kang*, Lin Zhang, Wenxiang Lin, Shaohuai Shi, Yuxin Wang, and Xiaowen Chu
    arXiv preprint arXiv:2606.29207, 2026
  3. Compass: Dissecting Communication and Computation Operators for Efficient LLM Training
    Guangyu Xiang, Lin Zhang, Haoxuan Yu, Xinglin Pan, Shaohuai Shi, and Xiaowen Chu
    In IEEE INFOCOM 2026 - IEEE Conference on Computer Communications, 2026
  4. ElasWave: An Elastic-Native System for Scalable Hybrid-Parallel Training
    Xueze Kang*, Guangyu Xiang*, Yuxin Wang, Hao Zhang, Yuchu Fang, Yuhang Zhou, Zhenheng Tang, Youhui Lv, Eliran Maman, Mark Wasserman, and 9 more authors
    arXiv preprint arXiv:2510.00606, 2025

Experience

Beijing, China
Research Intern, Systems Research Group
Microsoft Research Asia MSRA
FlashAttention · CUDA · Compiler
Beijing, China
R&D Engineer Intern, AI Framework Team
OneFlow
MLIR · PDLL · Operator Fusion
Beijing, China
AI Compiler Engineer Intern
AMD
TVM Relay · Quantization · AIE
Shenzhen, China
AI Development Engineer Intern
Peng Cheng Laboratory PCL
HPC · Resource Management · Job Scheduling

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