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Farhad Shirani

5 papers at tracked venues · 5 at CORE A* · active 2024–2026

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Venues

AAAI ×2ICLR ×2ICML ×1

Frequent coauthors

Dongsheng Luo
×5
Zhuomin Chen
×4
Xu Zheng
×4
Wei Cheng
×2
Tianchun Wang
×2
Jingchao Ni
×1
Hojat Allah Salehi
×1
Esteban Schafir
×1
Chaohao Lin
×1
Wenbo Guo
×1
Rundong Huang
×1
Zichuan Liu
×1

Papers

  1. Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning
    AAAI 2026 ·
    Zhuomin Chen
    ,
    Jingchao Ni
    ,
    Hojat Allah Salehi
    ,
    Xu Zheng
    ,
    Esteban Schafir
    , Farhad Shirani,
    Dongsheng Luo
  2. F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
    ICLR 2025 ·
    Xu Zheng
    , Farhad Shirani,
    Zhuomin Chen
    ,
    Chaohao Lin
    ,
    Wei Cheng
    ,
    Wenbo Guo
    ,
    Dongsheng Luo
  3. Factorized Explainer for Graph Neural Networks
    AAAI 2024 ·
    Rundong Huang
    , Farhad Shirani,
    Dongsheng Luo
  4. TimeX++: Learning Time-Series Explanations with Information Bottleneck
    ICML 2024 ·
    Zichuan Liu
    ,
    Tianchun Wang
    ,
    Jimeng Shi
    ,
    Xu Zheng
    ,
    Zhuomin Chen
    ,
    Lei Song
    ,
    Wenqian Dong
    ,
    Jayantha Obeysekera
    , Farhad Shirani,
    Dongsheng Luo
  5. Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
    ICLR 2024 ·
    Xu Zheng
    , Farhad Shirani,
    Tianchun Wang
    ,
    Wei Cheng
    ,
    Zhuomin Chen
    ,
    Haifeng Chen
    ,
    Hua Wei
    ,
    Dongsheng Luo