PPaperPicks

Tianlong Gu

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

Venues

Frequent coauthors

Xuan Feng
×4
Liang Chang
×4
Fengrui Hao
×2
Xuemin Wang
×2
Tongxin Xu
×2
Chenzhong Bin
×2
Cihan Xiao
×2
Xiaoli Liu
×2
Wentao Yu
×2
Yongxin Tong
×2
Chen Gong
×2
Bo An
×1

Papers

  1. C2PO: Diagnosing and Disentangling Bias Shortcuts in LLMs
    ACL 2026 ·
    Xuan Feng
    ,
    Bo An
    , Tianlong Gu,
    Liang Chang
    ,
    Fengrui Hao
    ,
    Peipeng Yu
    ,
    Shuai Zhao
  2. FairGSE: Fairness-Aware Graph Neural Network Without High False Positive Rates
    AAAI 2026 ·
    Zhenqiang Ye
    ,
    Jinjie Lu
    , Tianlong Gu,
    Fengrui Hao
    ,
    Xuemin Wang
  3. Improving Recommendation Fairness via Graph Structure and Representation Augmentation
    CIKM 2025 ·
    Tongxin Xu
    ,
    Wenqiang Liu
    ,
    Chenzhong Bin
    ,
    Cihan Xiao
    ,
    Zhixin Zeng
    , Tianlong Gu
  4. Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction
    AAAI 2025 ·
    Xuan Feng
    , Tianlong Gu,
    Xiaoli Liu
    ,
    Liang Chang
  5. Modeling Inter-Intra Heterogeneity for Graph Federated Learning
    AAAI 2025 ·
    Wentao Yu
    ,
    Shuo Chen
    ,
    Yongxin Tong
    , Tianlong Gu,
    Chen Gong
  6. Multi-Behavior Intent Disentanglement for Recommendation via Information Bottleneck Principle
    CIKM 2025 ·
    Tongxin Xu
    ,
    Chenzhong Bin
    ,
    Cihan Xiao
    ,
    Yunhui Li
    , Tianlong Gu
  7. Towards Fair Graph Neural Networks via Graph Counterfactual Without Sensitive Attributes
    ICDE 2025 ·
    Xuemin Wang
    , Tianlong Gu,
    Xuguang Bao
    ,
    Liang Chang
  8. Dual-Teacher De-Biasing Distillation Framework for Multi-Domain Fake News Detection
    ICDE 2024 ·
    Jiayang Li
    ,
    Xuan Feng
    , Tianlong Gu,
    Liang Chang
  9. FairCRS: Towards User-oriented Fairness in Conversational Recommendation Systems
    RecSys 2024 ·
    Qin Liu
    ,
    Xuan Feng
    , Tianlong Gu,
    Xiaoli Liu
  10. Traffic Pattern Sharing for Federated Traffic Flow Prediction with Personalization
    ICDM 2024 ·
    Hang Zhou
    ,
    Wentao Yu
    ,
    Sheng Wan
    ,
    Yongxin Tong
    , Tianlong Gu,
    Chen Gong