Hojae Son

Hi, I'm Hojae Son, a Ph.D. candidate in Computer Science at UMass Amherst, advised by Professor Marco Serafini. My research interests are in systems for machine learning, especially LLM inference, KV cache optimization, vector databases, and graph neural network systems. I am also a Research Assistant for the Unity Cluster at the UMass Amherst Center for Data Science and Artificial Intelligence.

Previously, I worked as a Research Engineer at Hyundai Mobis and lululab (Samsung C-Lab).

news

Apr, 2026	Our paper, “PRISM: A Training System to Unlock the Potential of Temporal Graph Learning Through Staleness Avoidance,” has been accepted to VLDB 2026.
Dec, 2024	Our paper, “Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch,” has been accepted to VLDB 2025.

selected publications

arXiv

Kalypso: Relational LLM Serving

Hojae Son, Md Ashraful Islam, Huy Gia Cao, and 2 more authors

2026

Bib PDF

@misc{son2026kalypsorelationalllmserving,
  title = {Kalypso: Relational LLM Serving},
  author = {Son, Hojae and Islam, Md Ashraful and Cao, Huy Gia and Guan, Hui and Serafini, Marco},
  year = {2026},
  url = {https://arxiv.org/abs/2607.23815},
}

PVLDB

PRISM: A Training System to Unlock the Potential of Temporal Graph Learning Through Staleness Avoidance

Md Ashraful Islam, Hojae Son, Suhaas Kiran, and 1 more author

In PVLDB, 2026

Bib

@inproceedings{islam2026prism,
  title = {PRISM: A Training System to Unlock the Potential of Temporal Graph Learning Through Staleness Avoidance},
  author = {Islam, Md Ashraful and Son, Hojae and Kiran, Suhaas and Serafini, Marco},
  booktitle = {PVLDB},
  year = {2026},
}

PVLDB

Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch

Saurabh Bajaj, Hojae Son, Juelin Liu, and 2 more authors

In PVLDB, 2025

DOI Bib PDF

@inproceedings{bajaj2025gnn,
  title = {Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch},
  author = {Bajaj, Saurabh and Son, Hojae and Liu, Juelin and Guan, Hui and Serafini, Marco},
  booktitle = {PVLDB},
  year = {2025},
  doi = {10.48550/arXiv.2406.00552},
  url = {https://arxiv.org/abs/2406.00552},
}