Publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2026

  1. ArXiv
    Grappa: Gradient-Only Communication for Scalable Graph Neural Network Training
    Chongyang Xu, Christoph Siebenbrunner, and Laurent Bindschaedler
    2026

2025

  1. EMNLP
    Cache Saver: A Modular Framework for Efficient, Affordable, and Reproducible LLM Inference
    Nearchos Potamitis, Lars Henning Klein, Bardia Mohammadi, and 5 more authors
    In Findings of the Association for Computational Linguistics: EMNLP 2025, Suzhou, China, November 4-9, 2025, 2025
  2. GRADES
    Everything You Wanted to Know About Graph Neural Network Partitioning (But Were Afraid to Ask)
    Chongyang Xu, and Laurent Bindschaedler
    In 8th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Berlin, Germany, 27 June 2025, 2025

2023

  1. poster
    Towards scalable data serving for GNN training
    Chongyang Xu
    In ACM Student Research Competition at SOSP 2023, Oct 2023
  2. poster
    Towards scalable data serving for GNN training
    Chongyang Xu, and Laurent Bindschaedler
    In Poster session at CMMRS 2023, Aug 2023