Jiuyong Li

Venues

Frequent coauthors

Papers

1. Learning Fair Graph Representations via Probability of Necessity and Sufficiency
   AAAI 2026 ·

   Chuxun Liu

   DBLP profile ↗ORCID search ↗
2. Multistage Feedback-Driven Causal Discovery from Textual Data with Large Language Models
   WWW 2026 ·

   Juntao Yang

   DBLP profile ↗ORCID search ↗
3. Trustworthy and Explainable Causal Representation Learning in Transformers
   ACL 2026 ·

   Yang Liu

   DBLP profile ↗ORCID search ↗
4. Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction
   IJCAI 2025 ·

   Wentao Gao

   DBLP profile ↗ORCID search ↗
5. Diffusion Models for Attribution
   AAAI 2025 ·

   Xiongren Chen

   DBLP profile ↗ORCID search ↗
6. From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction
   ECAI 2025 ·

   Wentao Gao

   DBLP profile ↗ORCID search ↗
7. Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems
   IJCAI 2025 ·

   Zhirong Huang

   DBLP profile ↗ORCID search ↗
8. Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems
   EMNLP 2025 ·

   Jianfeng Deng

   DBLP profile ↗ORCID search ↗
9. Mitigating Latent Confounding Bias in Recommender Systems
   CIKM 2025 ·

   Jianfeng Deng

   DBLP profile ↗ORCID search ↗
10. Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders
    WWW 2025 ·

    Haolin Wang

    DBLP profile ↗ORCID search ↗
11. Telling Peer Direct Effects from Indirect Effects in Observational Network Data
    ICML 2025 ·

    Xiaojing Du

    DBLP profile ↗ORCID search ↗
12. A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation Systems
    ICDM 2024 ·

    Qingfeng Chen

    DBLP profile ↗ORCID search ↗
13. Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
    ICLR 2024 ·

    Ziqi Xu

    DBLP profile ↗ORCID search ↗
14. Conditional Instrumental Variable Regression with Representation Learning for Causal Inference
    ICLR 2024 ·

    Debo Cheng

    DBLP profile ↗ORCID search ↗
15. FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning
    AAAI 2024 ·

    Xianjie Guo

    DBLP profile ↗ORCID search ↗
16. Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders
    AAAI 2024 ·

    Debo Cheng

    DBLP profile ↗ORCID search ↗
17. Integrating Fair Representation Learning with Fairness Regularization for Intersectional Group Fairness
    CIKM 2024 ·

    David Quashigah Dzakpasu

    DBLP profile ↗ORCID search ↗