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Yan Wang

Macquarie University, Department of Computing, Sydney, NSW, Australia

22 papers at tracked venues · 17 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-5344-1884 ↗Homepage ↗

Venues

AAAI ×5WWW ×5IJCAI ×3ICDE ×2CVPR ×1ECAI ×1ICLR ×1NeurIPS ×1SIGIR ×1SIGKDD ×1WSDM ×1

Frequent coauthors

Rongwei Xu
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Xuankai Yang
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Haojie Li
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Pengfei Ding
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Xiaoxiao Chi
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Sishun Liu
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Hongyang Liu
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Yatong Sun
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Liang Chen
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Han Zhang
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Shoujin Wang
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Siqiao Xue
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Papers

  1. Adaptive and Reinforcement-Guided Contrastive Hypergraph Distillation
    WSDM 2026 ·
    Rongwei Xu
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  2. Cross-Domain Fake News Detection on Unseen Domains via LLM-Based Domain-Aware User Modeling
    WWW 2026 ·
    Xuankai Yang
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  3. Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation
    AAAI 2026 ·
    Hongyang Liu
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  4. Frequency-Corrupt Based Graph Self-Supervised Learning
    WWW 2026 ·
    Haojie Li
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  5. Intent Propagation Contrastive Collaborative Filtering Extended Abstract
    ICDE 2026 ·
    Haojie Li
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  6. MARCH: Multi-Teacher Contrastive Hypergraph Distillation
    WWW 2026 ·
    Rongwei Xu
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  7. Re-understanding Graph Unlearning through Memorization
    WWW 2026 ·
    Pengfei Ding
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  8. Reference Recommendation Based Membership Inference Attack Against Hybrid-Based Recommender Systems
    AAAI 2026 ·
    Xiaoxiao Chi
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  9. A Macro- and Micro-Hierarchical Transfer Learning Framework for Cross-Domain Fake News Detection
    WWW 2025 ·
    Xuankai Yang
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  10. Adaptive Graph Unlearning
    IJCAI 2025 ·
    Pengfei Ding
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  11. Addressing Mark Imbalance in Integration-free Marked Temporal Point Processes
    NeurIPS 2025 ·
    Sishun Liu
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  12. LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation
    AAAI 2025 ·
    Yatong Sun
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  13. Learning Marked Temporal Point Process Explanations Based on Counterfactual and Factual Reasoning
    ECAI 2025 ·
    Sishun Liu
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  14. Medusa: A Multi-Scale High-order Contrastive Dual-Diffusion Approach for Multi-View Clustering
    CVPR 2025 ·
    Liang Chen
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  15. Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks
    IJCAI 2025 ·
    Han Zhang
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  16. A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation
    SIGKDD 2024 ·
    Shoujin Wang
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  17. Adaptive Hypergraph Network for Trust Prediction
    ICDE 2024 ·
    Rongwei Xu
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  18. EasyTPP: Towards Open Benchmarking Temporal Point Processes
    ICLR 2024 ·
    Siqiao Xue
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  19. Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward
    AAAI 2024 ·
    Mengyuan Yang
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  20. LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
    AAAI 2024 · Yan Wang
  21. Large Language Models for Intent-Driven Session Recommendations
    SIGIR 2024 ·
    Zhu Sun
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  22. Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought
    IJCAI 2024 ·
    Xiaoxiao Chi
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