PPaperPicks

Haoxuan Li

Peking University, Beijing, China

57 papers at tracked venues · 54 at CORE A* · active 2024–2026

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Venues

NeurIPS ×16ICML ×10AAAI ×6ICLR ×6SIGKDD ×6SIGIR ×5CVPR ×2ACL ×1EMNLP ×1ICDE ×1IJCAI ×1NAACL ×1WWW ×1

Frequent coauthors

Hao Wang
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Fengxiang Cheng
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Chunyuan Zheng
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Xiang Li
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Honglei Zhang
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Chuan Zhou
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Anpeng Wu
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Zhikang Chen
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Shanshan Huang
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Baohong Li
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Yanghao Xiao
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Yan Lyu
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Papers

  1. Debiased Recommendation Beyond the Positive Propensity Assumption
    SIGIR 2026 ·
    Yanghao Xiao
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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. Semantics-Preserving Adversarial Attacks on Event-Driven Stock Prediction Models
    AAAI 2026 ·
    Aofan Liu
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  5. Text Embedding as Treatment: A Meta Causal Approach for Robust Sentiment Classification
    ACL 2026 ·
    Fengxiang Cheng
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  6. TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models
    AAAI 2026 ·
    Honglei Zhang
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  7. Uplift Modeling with Delayed Feedback: Identifiability and Algorithms
    AAAI 2026 ·
    Chunyuan Zheng
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  8. User Activity Modeling under Inflated Distribution
    SIGIR 2026 ·
    Xiang Li
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  9. A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation with Unmeasured Confounding
    SIGKDD 2025 ·
    Chuan Zhou
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  10. Active Treatment Effect Estimation via Limited Samples
    ICML 2025 ·
    Zhiheng Zhang
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  11. Adaptive Structure Learning with Partial Parameter Sharing for Post-Click Conversion Rate Prediction
    SIGIR 2025 ·
    Chunyuan Zheng
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  12. Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification
    NeurIPS 2025 ·
    Xinpeng Lv
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  13. CAP: Causal Air Quality Index Prediction Under Interference with Unmeasured Confounding
    WWW 2025 ·
    Huayi Yang
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  14. Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning
    NeurIPS 2025 ·
    Xiangning Yu
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  15. CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds
    NAACL 2025 ·
    Lei Wang
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  16. Classifying Treatment Responders: Bounds and Algorithms
    SIGKDD 2025 ·
    Anpeng Wu
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  17. Counterfactual Implicit Feedback Modeling
    NeurIPS 2025 ·
    Chuan Zhou
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  18. Curious Causality-Seeking Agents in Open-ended Worlds
    NeurIPS 2025 ·
    Zhiyu Zhao
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  19. Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning
    NeurIPS 2025 ·
    Danni Yang
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  20. 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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  21. Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models
    ICLR 2025 ·
    Haotian Wang
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  22. Empowering LLMs with Logical Reasoning: A Comprehensive Survey
    IJCAI 2025 ·
    Fengxiang Cheng
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  23. Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness
    ICML 2025 · Haoxuan Li
  24. FreDF: Learning to Forecast in the Frequency Domain
    ICLR 2025 ·
    Hao Wang
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  25. HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units
    AAAI 2025 ·
    Guorui Liao
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  26. Iterative Missing Data Imputation with Model Form Adaptation and Non-Missing Feature Supervision
    NeurIPS 2025 ·
    Hao Wang
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  27. Large Language Models are Demonstration Pre-Selectors for Themselves
    ICML 2025 ·
    Jiarui Jin
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  28. Learning Counterfactual Outcomes Under Rank Preservation
    NeurIPS 2025 ·
    Peng Wu
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  29. Learning without Isolation: Pathway Protection for Continual Learning
    ICML 2025 ·
    Zhikang Chen
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  30. MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios
    NeurIPS 2025 ·
    Yang Shi
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  31. Mitigating Data Imbalance in Time Series Classification Based on Counterfactual Minority Samples Augmentation
    SIGKDD 2025 ·
    Lei Wang
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  32. Mitigating Spurious Correlations via Counterfactual Contrastive Learning
    EMNLP 2025 ·
    Fengxiang Cheng
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  33. OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain
    NeurIPS 2025 ·
    Wenzhen Yue
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  34. Optimal Transport for Time Series Imputation
    ICLR 2025 ·
    Hao Wang
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  35. Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation
    SIGKDD 2025 ·
    Hao Wang
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  36. Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
    NeurIPS 2025 ·
    Tianjun Yao
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  37. Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction
    CVPR 2025 ·
    Shanshan Huang
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  38. Time-o1: Time-Series Forecasting Needs Transformed Label Alignment
    NeurIPS 2025 ·
    Hao Wang
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  39. Towards Accurate Time Series Forecasting via Implicit Decoding
    NeurIPS 2025 ·
    Xinyu Li
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  40. Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning
    ICML 2025 ·
    Hao Wang
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  41. Unveiling Extraneous Sampling Bias with Data Missing-Not-At-Random
    NeurIPS 2025 ·
    Chunyuan Zheng
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  42. Visual Representation Learning through Causal Intervention for Controllable Image Editing
    CVPR 2025 ·
    Shanshan Huang
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  43. A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective
    ICML 2024 ·
    Baohong Li
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  44. Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
    ICLR 2024 · Haoxuan Li
  45. Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation
    AAAI 2024 ·
    Minqin Zhu
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  46. Debiased Collaborative Filtering with Kernel-Based Causal Balancing
    ICLR 2024 · Haoxuan Li
  47. Debiased Recommendation with Noisy Feedback
    SIGKDD 2024 · Haoxuan Li
  48. Learning Causal Relations from Subsampled Time Series with Two Time-Slices
    ICML 2024 ·
    Anpeng Wu
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  49. Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias
    ICML 2024 ·
    Baohong Li
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  50. MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
    ICLR 2024 ·
    Min Zhang
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  51. Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization
    NeurIPS 2024 ·
    Zhikang Chen
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  52. On the Maximal Local Disparity of Fairness-Aware Classifiers
    ICML 2024 ·
    Jinqiu Jin
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  53. Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering
    ICML 2024 · Haoxuan Li
  54. Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective
    NeurIPS 2024 ·
    Zhichao Chen
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  55. Towards Understanding Extrapolation: a Causal Lens
    NeurIPS 2024 ·
    Lingjing Kong
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  56. Uncovering the Propensity Identification Problem in Debiased Recommendations
    ICDE 2024 ·
    Honglei Zhang
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  57. Your Neighbor Matters: Towards Fair Decisions Under Networked Interference
    SIGKDD 2024 ·
    Wenjing Yang
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