About

My current research primarily focuses on Continual Learning and Granular-ball Computing. I am dedicated to investigating how machine learning models can continuously absorb new knowledge from dynamic data streams while overcoming the challenge of catastrophic forgetting. Concurrently, I am exploring the potential of granular-ball computing in reducing computational complexity and enhancing model robustness and interpretability, aiming to contribute to the development of more efficient and intelligent AI systems.

Publications

Multi-Granularity Subgraph Guided Replay for Robust Graph Continual Learning via Granular-Ball Computing

Xiaofei Zhu, Lele Ren and Shuyin Xia
Level: IPM Journal under review

Competitions

  • December 2024
    2024 5th MathorCup Mathematical Application Challenge – Big Data Competition
    Award: The Third Prize
  • June 2025
    2025 The 15th Mathorcup Mathematical Application Challenge
    Award: The Third Prize
  • July 2025
    2025 The 7th Zhongqing Cup National College Students' Mathematical Modeling Competition
    Award: The Second Prize
  • December 2025
    2025 6th MathorCup Mathematical Application Challenge – Big Data Competition
    Award: The Third Prize
  • December 2025
    2025 "Huawei Cup" 22nd China Graduate Students' Mathematical Modeling Competition
    Award: The Third Prize

Projects

Research on Effective and Robust Continual Recommendation Method
January 2025 - December 2028

Funded by the National Natural Science Foundation of China.

Education

September 2019 - June 2023
He'nan University of Technology
Bachelor · Computer Science and Technology
September 2024 - June 2027
Chongqing University of Technology
Master · Computer Technology