PPaperPicks

Lichun Li

8 papers at tracked venues · 6 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Yuan Zhao
×4
Kai Yao
×4
Jianke Zhu
×3
Wei Wang
×3
Wenyan Liu
×3
Shan Yin
×2
Zhaorui Tan
×2
Penglei Gao
×2
Tiandi Ye
×2
Qiulin Wu
×1
Amelie Chi Zhou
×1
Tristan Allard
×1

Papers

  1. CFDGraph: Privacy-Preserving Graph Processing for Large-Scale Collaborative Fraud Detection
    ICDE 2026 ·
    Qiulin Wu
    ,
    Amelie Chi Zhou
    ,
    Tristan Allard
    ,
    Shadi Ibrahim
    ,
    Yuhong Feng
    , Lichun Li,
    Amr El Abbadi
  2. Gibbon: Faster Secure Two-party Training of Gradient Boosting Decision Tree
    CCS 2025 · Lichun Li,
    Zecheng Wu
    ,
    Yuan Zhao
    ,
    Zhihao Li
    ,
    Wen-jie Lu
    ,
    Shan Yin
  3. GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models
    ACL 2025 ·
    Kai Yao
    ,
    Zhaorui Tan
    ,
    Penglei Gao
    , Lichun Li,
    Kaixin Wu
    ,
    Yinggui Wang
    ,
    Yuan Zhao
    ,
    Yixin Ji
    ,
    Jianke Zhu
    ,
    Wei Wang
  4. ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression
    AAAI 2025 ·
    Kai Yao
    ,
    Zhaorui Tan
    ,
    Tiandi Ye
    , Lichun Li,
    Yuan Zhao
    ,
    Wenyan Liu
    ,
    Wei Wang
    ,
    Jianke Zhu
  5. Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning
    CIKM 2025 ·
    Tiandi Ye
    ,
    Wenyan Liu
    ,
    Kai Yao
    , Lichun Li,
    Shangchao Su
    ,
    Cen Chen
    ,
    Xiang Li
    ,
    Shan Yin
    ,
    Ming Gao
  6. Efficient Zero-Knowledge Arguments For Paillier Cryptosystem
    S&P 2024 ·
    Borui Gong
    ,
    Wang Fat Lau
    ,
    Man Ho Au
    ,
    Rupeng Yang
    ,
    Haiyang Xue
    , Lichun Li
  7. Integer Is Enough: When Vertical Federated Learning Meets Rounding
    AAAI 2024 ·
    Pengyu Qiu
    ,
    Yuwen Pu
    ,
    Yongchao Liu
    ,
    Wenyan Liu
    ,
    Yun Yue
    ,
    Xiaowei Zhu
    , Lichun Li,
    Jinbao Li
    ,
    Shouling Ji
  8. Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models
    EMNLP 2024 ·
    Kai Yao
    ,
    Penglei Gao
    , Lichun Li,
    Yuan Zhao
    ,
    Xiaofeng Wang
    ,
    Wei Wang
    ,
    Jianke Zhu