Chunyuan Zheng

Venues

Frequent coauthors

Papers

1. Detecting Unobserved Confounders: A Kernelized Regression Approach
   AAAI 2026 ·

   Yikai Chen

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2. Hierarchical Denoising Entire Space Multi-Task Model for Post-Click Conversion Rate Prediction with Noisy Labels
   SIGIR 2026 ·

   Yan Lyu

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3. Optimizing Marketing Subsidies via Counterfactual Learning with Asymmetric Reward Function
   SIGIR 2026 ·

   Xiang Li

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4. Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents
   AAAI 2026 ·

   Xinpeng Lv

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5. Unified Minimax Optimization Framework for Propensity Score Estimation in Debiased Recommendation
   AAAI 2026 · Chunyuan Zheng
6. Uplift Modeling with Delayed Feedback: Identifiability and Algorithms
   AAAI 2026 · Chunyuan Zheng
7. User Activity Modeling under Inflated Distribution
   SIGIR 2026 ·

   Xiang Li

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8. A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation with Unmeasured Confounding
   SIGKDD 2025 ·

   Chuan Zhou

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9. Adaptive Structure Learning with Partial Parameter Sharing for Post-Click Conversion Rate Prediction
   SIGIR 2025 · Chunyuan Zheng
10. CAP: Causal Air Quality Index Prediction Under Interference with Unmeasured Confounding
    WWW 2025 ·

    Huayi Yang

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11. Classifying Treatment Responders: Bounds and Algorithms
    SIGKDD 2025 ·

    Anpeng Wu

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12. Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition
    AAAI 2025 ·

    Haoyu Xie

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13. HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units
    AAAI 2025 ·

    Guorui Liao

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14. Learning Counterfactual Outcomes Under Rank Preservation
    NeurIPS 2025 ·

    Peng Wu

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15. Mitigating Data Imbalance in Time Series Classification Based on Counterfactual Minority Samples Augmentation
    SIGKDD 2025 ·

    Lei Wang

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16. Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction
    CVPR 2025 ·

    Shanshan Huang

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17. Unveiling Extraneous Sampling Bias with Data Missing-Not-At-Random
    NeurIPS 2025 · Chunyuan Zheng
18. Visual Representation Learning through Causal Intervention for Controllable Image Editing
    CVPR 2025 ·

    Shanshan Huang

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19. Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
    ICLR 2024 ·

    Haoxuan Li

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20. Debiased Collaborative Filtering with Kernel-Based Causal Balancing
    ICLR 2024 ·

    Haoxuan Li

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21. Debiased Recommendation with Noisy Feedback
    SIGKDD 2024 ·

    Haoxuan Li

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22. Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering
    ICML 2024 ·

    Haoxuan Li

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23. UMVUE-DR: Uniformly Minimum Variance Unbiased Doubly Robust Learning with Reduced Bias and Variance for Debiased Recommendation
    ICDM 2024 · Chunyuan Zheng
24. Uncovering the Propensity Identification Problem in Debiased Recommendations
    ICDE 2024 ·

    Honglei Zhang

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