Hongzheng Li

Hongzheng Li

李鸿政

Ph.D. Student @ BUPT

Currently, I am a Ph.D. student in the School of Computer Science, Beijing University of Posts and Telecommunications (BUPT), and a member of the iDMG research group, supervised by Prof. Yingxia Shao.

My research focuses on ML systems, with an emphasis on large-scale recommendation systems, distributed graph neural network training, and efficient LLM training.

Publications

Selected Publications

  • JITPrune: An Efficient Online Feature Pruning Framework for Embedding-based DLRM Training

    Hongzheng Li, Yucheng Wu, Junjie Zhai, Anan Liu, Yuekui Yang, Yingxia Shao

    [CCF-A] ICDE Industry and Applications Track · 2026

    Paper

  • Efficient Distributed Mini-batch GNN Training with Decentralized Batch Processing

    Hongzheng Li#, Siyu Lou#, Yingxia Shao*, Yawen Li, Lixing Zhang, Hongbo Yin, Wentao Zhang

    [CCF-A] IEEE TKDE · 2026

    Paper

  • An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs

    Hongzheng Li, Yingxia Shao*, Junping Du, Bin Cui, Lei Chen

    [CCF-A] PVLDB / VLDB · 2022

    Paper | Code

Other Publications

  • Efficient Cross-Architecture Knowledge Transfer for Large-Scale Online User Response Prediction

    Yucheng Wu, Yuekui Yang, Hongzheng Li, Anan Liu, Jian Xiao, Junjie Zhai, Huan Yu, Shaoping Ma, Leye Wang

    arXiv preprint · 2026

    arXiv

  • Distributed Graph Neural Network Training: A Survey

    Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen

    [JCR Q1] ACM Computing Surveys · 2024

    Paper | arXiv

  • SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training

    Xizhi Gu, Hongzheng Li, Shihong Gao, Xinyan Zhang, Lei Chen, Yingxia Shao

    [CCF-B] ECML-PKDD · 2024

    Paper | arXiv

(* corresponding authors, # co-first authors; my name is in bold. CCF ranks follow the CCF 2026 recommended list.)

Internships

  • Research Intern, JD.com (JD Retail), 2026 ~ Present. Tech Genius Team (TGT).
  • Research Intern, Tencent (TEG/CDG), 2024 ~ 2025. Rhion-Bird Talent Cultivation Program.

Education

  • 2023 ~ Present, Ph.D. Program in Computer Science and Technology, Beijing University of Posts and Telecommunications (BUPT).
  • 2021 ~ 2023, Master's Program in Computer Science and Technology, BUPT. Transferred to the Ph.D. program in 2023.
  • 2017 ~ 2021, B.E. in Computer Science and Technology, BUPT.