Debo Cheng

Venues

Frequent coauthors

Papers

1. Beyond Factual Queries: A Novel Predictive Retrieval-Augmented Generation
   WWW 2026 · Debo Cheng
2. Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems
   WWW 2026 ·

   Guixian Zhang

   DBLP profile ↗ORCID search ↗
3. Learning Fair Graph Representations via Probability of Necessity and Sufficiency
   AAAI 2026 ·

   Chuxun Liu

   DBLP profile ↗ORCID search ↗
4. Noise-Aware Graph-Based Cognitive Diagnostic Framework Through Low-Rank Alignment
   AAAI 2026 ·

   Guixian Zhang

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

   Yang Liu

   DBLP profile ↗ORCID search ↗
6. Causality-Inspired Disentanglement for Fair Graph Neural Networks
   IJCAI 2025 ·

   Guixian Zhang

   DBLP profile ↗ORCID search ↗
7. Community-Centric Graph Unlearning
   AAAI 2025 ·

   Yi Li

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

   Wentao Gao

   DBLP profile ↗ORCID search ↗
9. Gradient-based Causal Feature Selection
   IJCAI 2025 ·

   Zhaolong Ling

   DBLP profile ↗ORCID search ↗
10. Hybrid Local Causal Discovery
    IJCAI 2025 ·

    Zhaolong Ling

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

    Zhirong Huang

    DBLP profile ↗ORCID search ↗
12. Local Causal Discovery Without Causal Sufficiency
    AAAI 2025 ·

    Zhaolong Ling

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

    Jianfeng Deng

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

    Jianfeng Deng

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

    Haolin Wang

    DBLP profile ↗ORCID search ↗
16. ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models
    NeurIPS 2025 ·

    Bosong Huang

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

    Xiaojing Du

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

    Qingfeng Chen

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

    Ziqi Xu

    DBLP profile ↗ORCID search ↗
20. Conditional Instrumental Variable Regression with Representation Learning for Causal Inference
    ICLR 2024 · Debo Cheng
21. Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders
    AAAI 2024 · Debo Cheng