Qing Cui

Venues

Frequent coauthors

Papers

1. Improving Autoformalization Using Direct Dependency Retrieval
   ACL 2026 ·

   Shaoqi Wang

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2. UniGeM: Unifying Data Selection and Mixing via Geometric Exploration and Mining
   ACL 2026 ·

   Changhao Wang

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3. A Unified Invariant Learning Framework for Graph Classification
   SIGKDD 2025 ·

   Yongduo Sui

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4. MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
   ICML 2025 ·

   Jiazheng Li

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5. Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging
   NeurIPS 2025 ·

   Jinluan Yang

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6. Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations
   AAAI 2024 ·

   Junpeng Fang

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7. Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects
   CIKM 2024 ·

   Dong Yao

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8. Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge
   WWW 2024 ·

   Junpeng Fang

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9. Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding
   WSDM 2024 ·

   Ya-Lin Zhang

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10. Invariant Graph Learning for Causal Effect Estimation
    WWW 2024 ·

    Yongduo Sui

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11. LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
    AAAI 2024 ·

    Yan Wang

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12. Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction
    AAAI 2024 ·

    Zhixuan Chu

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