Rubin Wei

I’m a first-year Ph.D student in Computer Science at the School of Artificial Intelligence, Shanghai Jiao Tong University (SJTU), advised by Prof. Zhouhan Lin in the Language Understanding and Machine Intelligence Algorithms (LUMIA) Group. Previously, I received my B.E. in Information Security from Wuhan University.

My research interests lie in machine learning and large language models (LLMs), particularly in:

  • Memory-augmented LLMs — training long-term memory to retain the entire training dataset
  • Parametric retrieval architectures for efficient and adaptive knowledge access
  • Decoupling common and factual knowledge within LLMs

I’m always open to discussions and collaborations — feel free to reach out if you’d like to chat!

🔥 News

  • 2025.10 🚀🚀 MLP Memory released — model weights and code are now open-sourced.
  • 2025.09 🎉🎉 Memory Decoder accepted to NeurIPS 2025
  • 2025.06 🏆🏆 My undergraduate thesis was selected as an Outstanding Thesis
  • 2024.12 🎉🎉 One paper accepted to IEEE TIFS 2024
  • 2024.06 🎉🎉 Beowulf accepted to ACM CCS 2024

📚 Publications

  • MLP Memory: A Retriever-Pretrained Memory for Large Language Models
    Rubin Wei*, Jiaqi Cao*, Jiarui Wang, Jushi Kai, Qipeng Guo, Bowen Zhou, Zhouhan Lin
    Preprint (2025)
    🔗 arXiv · GitHub · HuggingFace · * Equal Contribution

  • Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
    Jiaqi Cao*, Jiarui Wang*, Rubin Wei, Qipeng Guo, Kai Chen, Bowen Zhou, Zhouhan Lin
    NeurIPS 2025 Poster
    🔗 arXiv · GitHub · HuggingFace · * Equal Contribution

  • Beowulf: Mitigating Model Extraction Attacks via Reshaping Decision Regions
    Xueluan Gong, Rubin Wei, Ziyao Wang, Yuchen Sun, Jiawen Peng, Yanjiao Chen, Qian Wang
    ACM CCS 2024
    🔗 ACM CCS

  • Augmenting Model Extraction Attacks Against Disruption-Based Defenses
    Xueluan Gong, Shuaike Li, Yanjiao Chen, Mingzhe Li, Rubin Wei, Qian Wang, Kwok-Yan Lam
    IEEE Transactions on Information Forensics & Security (TIFS) 2024
    🔗 IEEE TIFS

🎓 Education

💼 Internships

🏅 Honors and Awards

  • National Scholarship, 2023
  • Outstanding Undergraduate Thesis Award, 2025