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Caizhi Tang

5 papers at tracked venues · 3 at CORE A* · active 2024–2025

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Venues

AAAI ×1CIKM ×1ICML ×1WSDM ×1WWW ×1

Frequent coauthors

Jun Zhou
×4
Qing Cui
×4
Longfei Li
×4
Minqin Zhu
×1
Zexu Sun
×1
Ruoxuan Xiong
×1
Anpeng Wu
×1
Baohong Li
×1
Fei Wu
×1
Kun Kuang
×1
Junpeng Fang
×1
Gongduo Zhang
×1

Papers

  1. Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation
    ICML 2025 ·
    Minqin Zhu
    ,
    Zexu Sun
    ,
    Ruoxuan Xiong
    ,
    Anpeng Wu
    ,
    Baohong Li
    , Caizhi Tang,
    Jun Zhou
    ,
    Fei Wu
    ,
    Kun Kuang
  2. Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations
    AAAI 2024 ·
    Junpeng Fang
    ,
    Gongduo Zhang
    ,
    Qing Cui
    , Caizhi Tang,
    Lihong Gu
    ,
    Longfei Li
    ,
    Jinjie Gu
    ,
    Jun Zhou
  3. Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects
    CIKM 2024 ·
    Dong Yao
    , Caizhi Tang,
    Qing Cui
    ,
    Longfei Li
  4. Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding
    WSDM 2024 ·
    Ya-Lin Zhang
    , Caizhi Tang,
    Lu Yu
    ,
    Jun Zhou
    ,
    Longfei Li
    ,
    Qing Cui
    ,
    Fangfang Fan
    ,
    Linbo Jiang
    ,
    Xiaosong Zhao
  5. Invariant Graph Learning for Causal Effect Estimation
    WWW 2024 ·
    Yongduo Sui
    , Caizhi Tang,
    Zhixuan Chu
    ,
    Junfeng Fang
    ,
    Yuan Gao
    ,
    Qing Cui
    ,
    Longfei Li
    ,
    Jun Zhou
    ,
    Xiang Wang