Ruijia Yang

I am a PhD student in Data Science and Analytics at the Hong Kong University of Science and Technology (Guangzhou), advised by Prof. Zeyi Wen. Previously, I studied at Sun Yat-sen University.

My research focuses on efficient LLM training and heterogeneous systems. I study how to coordinate computation, memory, and data movement across CPUs, GPUs, and storage, making large-model fine-tuning practical under limited GPU memory.

Email · GitHub · CV

news

Sep 28, 2026	SlideDP is now on arXiv: scaling host-resident LLM fine-tuning across multiple GPUs.
Jun 30, 2026	Updated the SlideFormer paper on arXiv.
Mar 17, 2026	Our DAC 2026 paper on SlideFormer is available on arXiv.

latest posts

Sep 25, 2021	[教程] 硬刷BIOS！X370主板成功进化

selected publications

Preprint

SlideDP: Scaling Host-Resident LLM Fine-Tuning Across Multiple GPUs

Ruijia Yang, Shiyuan Lin, Yulong Ao, Zhiyu Li, Yingli Zhao, Xianduo Li, Yonghua Lin, and Zeyi Wen

arXiv preprint arXiv:2609.34162, Sep 2026

arXiv Bib PDF Code

@article{slidedp,
  title = {SlideDP: Scaling Host-Resident LLM Fine-Tuning Across Multiple GPUs},
  author = {Yang, Ruijia and Lin, Shiyuan and Ao, Yulong and Li, Zhiyu and Zhao, Yingli and Li, Xianduo and Lin, Yonghua and Wen, Zeyi},
  year = {2026},
  month = sep,
  journal = {arXiv preprint arXiv:2609.34162}
}

DAC

An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU

Ruijia Yang and Zeyi Wen

In Proceedings of the 63rd ACM/IEEE Design Automation Conference (DAC), 2026

DOI arXiv Bib PDF Code

@inproceedings{slideformer,
  title = {An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU},
  author = {Yang, Ruijia and Wen, Zeyi},
  year = {2026},
  doi = {10.1145/3770743.3804125},
  booktitle = {Proceedings of the 63rd ACM/IEEE Design Automation Conference (DAC)}
}