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Ziqi Xu

RMIT University, Melbourne, VIC, Australia

29 papers at tracked venues · 25 at CORE A* · active 2024–2026

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Venues

WWW ×12SIGIR ×5AAAI ×4CIKM ×3ICLR ×2ACL ×1EACL ×1ICML ×1

Frequent coauthors

Jing Ren
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Wentao Gao
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Renqiang Luo
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Xinye Wanyan
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Chenglong Ma
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Debo Cheng
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Bowen Li
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Saba Fathi Rabooki
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Vy Nguyen
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Guixian Zhang
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Ranxu Zhang
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Yaqi Yang
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Papers

  1. Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought
    EACL 2026 ·
    Bowen Li
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  2. Deep Extreme Transformer: Tackling Zero-Inflated Time Series for Precipitation Prediction
    AAAI 2026 ·
    Wentao Gao
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  3. Energy-Efficient Training-Free Zero-Inflation Correction for Rainfall Forecasting with Time-Series Foundation Models
    WWW 2026 ·
    Wentao Gao
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  4. ExODRec: An Explainable Framework for Outlier Detection Model Recommendation
    SIGIR 2026 ·
    Saba Fathi Rabooki
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  5. FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks
    WWW 2026 ·
    Renqiang Luo
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  6. FairGU: Fairness-aware Graph Unlearning in Social Networks
    WWW 2026 ·
    Renqiang Luo
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  7. Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models
    AAAI 2026 ·
    Vy Nguyen
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  8. Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems
    WWW 2026 ·
    Guixian Zhang
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  9. MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation
    WWW 2026 ·
    Ranxu Zhang
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  10. Mitigating Bias in Large Language Model Based Question Answering through Causal Front Door Prompting
    SIGIR 2026 ·
    Yaqi Yang
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  11. STELA: Spatiotemporal Forecasting via Graph Learning and Entropy-Guided LLM Adaptation
    WWW 2026 ·
    Tiantian Huang
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  12. Spiking Graph Predictive Coding for Reliable OOD Generalization
    WWW 2026 ·
    Jing Ren
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  13. Synthetic Forgetting Without Access: A Few-Shot Zero-Glance Framework for Machine Unlearning
    AAAI 2026 ·
    Qipeng Song
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  14. Task-Aware Automated User Profile Generation for Recommendation Simulation Using Large Language Models
    SIGIR 2026 ·
    Xinye Wanyan
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  15. Verifiable User Simulation for Search and Recommendation Systems
    SIGIR 2026 ·
    Chenglong Ma
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  16. When to Invoke: Refining LLM Fairness with Toxicity Assessment
    WWW 2026 ·
    Jing Ren
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  17. When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation
    WWW 2026 ·
    Jing Ren
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  18. Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors
    ACL 2025 ·
    Senqi Yang
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  19. Fairness Evaluation with Item Response Theory
    WWW 2025 · Ziqi Xu
  20. Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders
    WWW 2025 ·
    Haolin Wang
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  21. PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation
    SIGIR 2025 ·
    Chenglong Ma
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  22. Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework
    CIKM 2025 ·
    Brodie Oldfield
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  23. Telling Peer Direct Effects from Indirect Effects in Observational Network Data
    ICML 2025 ·
    Xiaojing Du
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  24. Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems
    CIKM 2025 ·
    Xinye Wanyan
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  25. Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory
    WWW 2025 · Ziqi Xu
  26. Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment
    CIKM 2025 ·
    Bo Zhao
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  27. Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
    ICLR 2024 · Ziqi Xu
  28. Conditional Instrumental Variable Regression with Representation Learning for Causal Inference
    ICLR 2024 ·
    Debo Cheng
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  29. Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders
    AAAI 2024 ·
    Debo Cheng
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