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Qing Cui

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

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Venues

AAAI ×3ACL ×2WWW ×2CIKM ×1ICML ×1NeurIPS ×1SIGKDD ×1WSDM ×1

Frequent coauthors

Jun Zhou
×8
Longfei Li
×8
Caizhi Tang
×4
Lu Yu
×3
Junpeng Fang
×3
Jinjie Gu
×3
Zhixuan Chu
×3
Yongduo Sui
×2
Xiang Wang
×2
Zhiqiang Zhang
×2
Gongduo Zhang
×2
Lihong Gu
×2

Papers

  1. Improving Autoformalization Using Direct Dependency Retrieval
    ACL 2026 ·
    Shaoqi Wang
    ,
    Lu Yu
    ,
    Siwei Lou
    ,
    Feng Yan
    ,
    Chunjie Yang
    , Qing Cui,
    Jun Zhou
  2. UniGeM: Unifying Data Selection and Mixing via Geometric Exploration and Mining
    ACL 2026 ·
    Changhao Wang
    ,
    Yunfei Yu
    ,
    Xinhao Yao
    ,
    Jiaolong Yang
    ,
    Lu Yu
    ,
    Junpeng Fang
    ,
    Riccardo Cantoro
    ,
    Chaobo Li
    , Qing Cui,
    Jun Zhou
  3. A Unified Invariant Learning Framework for Graph Classification
    SIGKDD 2025 ·
    Yongduo Sui
    ,
    Jie Sun
    ,
    Shuyao Wang
    ,
    Zemin Liu
    , Qing Cui,
    Longfei Li
    ,
    Xiang Wang
  4. MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
    ICML 2025 ·
    Jiazheng Li
    ,
    Lu Yu
    , Qing Cui,
    Zhiqiang Zhang
    ,
    Jun Zhou
    ,
    Yanfang Ye
    ,
    Chuxu Zhang
  5. Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging
    NeurIPS 2025 ·
    Jinluan Yang
    ,
    Dingnan Jin
    ,
    Anke Tang
    ,
    Li Shen
    ,
    Didi Zhu
    ,
    Zhengyu Chen
    ,
    Ziyu Zhao
    ,
    Daixin Wang
    , Qing Cui,
    Zhiqiang Zhang
    ,
    Jun Zhou
    ,
    Fei Wu
    ,
    Kun Kuang
  6. 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
  7. Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects
    CIKM 2024 ·
    Dong Yao
    ,
    Caizhi Tang
    , Qing Cui,
    Longfei Li
  8. Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge
    WWW 2024 ·
    Junpeng Fang
    ,
    Gongduo Zhang
    , Qing Cui,
    Lihong Gu
    ,
    Longfei Li
    ,
    Jinjie Gu
    ,
    Jun Zhou
  9. 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
  10. 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
  11. LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
    AAAI 2024 ·
    Yan Wang
    ,
    Zhixuan Chu
    ,
    Xin Ouyang
    ,
    Simeng Wang
    ,
    Hongyan Hao
    ,
    Yue Shen
    ,
    Jinjie Gu
    ,
    Siqiao Xue
    ,
    James Zhang
    , Qing Cui,
    Longfei Li
    ,
    Jun Zhou
    ,
    Sheng Li
  12. Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction
    AAAI 2024 ·
    Zhixuan Chu
    ,
    Mengxuan Hu
    , Qing Cui,
    Longfei Li
    ,
    Sheng Li