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Lin Liu

University of South Australia, Mawson Lakes, Australia

21 papers at tracked venues · 13 at CORE A* · active 2024–2026

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Venues

AAAI ×4ICLR ×4CIKM ×3IJCAI ×2WWW ×2ACL ×1ECAI ×1EMNLP ×1ICCV ×1ICDM ×1ICML ×1

Frequent coauthors

Muhammad Anwar Ma'sum
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Wentao Gao
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Jianfeng Deng
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Debo Cheng
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Chuxun Liu
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Juntao Yang
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Yang Liu
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Xiongren Chen
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Zhirong Huang
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Haolin Wang
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Xiaojing Du
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Qingfeng Chen
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Papers

  1. Learning Fair Graph Representations via Probability of Necessity and Sufficiency
    AAAI 2026 ·
    Chuxun Liu
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  2. Multistage Feedback-Driven Causal Discovery from Textual Data with Large Language Models
    WWW 2026 ·
    Juntao Yang
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  3. Trustworthy and Explainable Causal Representation Learning in Transformers
    ACL 2026 ·
    Yang Liu
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  4. Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction
    IJCAI 2025 ·
    Wentao Gao
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  5. Diffusion Models for Attribution
    AAAI 2025 ·
    Xiongren Chen
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  6. Federated Few-Shot Class-Incremental Learning
    ICLR 2025 ·
    Muhammad Anwar Ma'sum
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  7. From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction
    ECAI 2025 ·
    Wentao Gao
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  8. Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems
    IJCAI 2025 ·
    Zhirong Huang
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  9. Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems
    EMNLP 2025 ·
    Jianfeng Deng
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  10. Mitigating Latent Confounding Bias in Recommender Systems
    CIKM 2025 ·
    Jianfeng Deng
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  11. Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders
    WWW 2025 ·
    Haolin Wang
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  12. PROL: Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning
    ICCV 2025 ·
    M. Anwar Ma'sum
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  13. Telling Peer Direct Effects from Indirect Effects in Observational Network Data
    ICML 2025 ·
    Xiaojing Du
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  14. Vision and Language Synergy for Rehearsal Free Continual Learning
    ICLR 2025 ·
    Muhammad Anwar Ma'sum
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  15. A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation Systems
    ICDM 2024 ·
    Qingfeng Chen
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  16. Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
    ICLR 2024 ·
    Ziqi Xu
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  17. Conditional Instrumental Variable Regression with Representation Learning for Causal Inference
    ICLR 2024 ·
    Debo Cheng
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  18. FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning
    AAAI 2024 ·
    Xianjie Guo
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  19. Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders
    AAAI 2024 ·
    Debo Cheng
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  20. Integrating Fair Representation Learning with Fairness Regularization for Intersectional Group Fairness
    CIKM 2024 ·
    David Quashigah Dzakpasu
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  21. PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
    CIKM 2024 ·
    Muhammad Anwar Ma'sum
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