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Guanfeng Liu

Macquarie University, Department of Computing, Sydney, Australia

28 papers at tracked venues · 20 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0001-8980-4950 ↗Homepage ↗

Venues

ICDE ×6WWW ×5SIGIR ×4CIKM ×3IJCAI ×3AAAI ×2SIGKDD ×2WSDM ×2VLDB ×1

Frequent coauthors

Haojie Li
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Rongwei Xu
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Yongjing Hao
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Pengfei Ding
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Yuanjun Liu
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Jiate Liu
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Wangyu Jin
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Feng Liu
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Zitai Qiu
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Huayang Xu
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Kiana Bagheri-Lotfabad
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Haoyi Zhang
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Papers

  1. A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning
    ICDE 2026 ·
    Jiate Liu
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  2. Adaptive and Reinforcement-Guided Contrastive Hypergraph Distillation
    WSDM 2026 ·
    Rongwei Xu
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  3. Contrastive Flow Matching for Collaborative Filtering
    SIGIR 2026 ·
    Wangyu Jin
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  4. Frequency-Corrupt Based Graph Self-Supervised Learning
    WWW 2026 ·
    Haojie Li
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  5. How Do Graph Signals Affect Recommendation: Unveiling the Mystery of Low and High-Frequency Graph Signals
    SIGKDD 2026 ·
    Feng Liu
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  6. Intent Propagation Contrastive Collaborative Filtering Extended Abstract
    ICDE 2026 ·
    Haojie Li
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  7. LHG: LLM-enhanced and Heterogeneous Graph-induced for Unsupervised Social Event Detection
    WWW 2026 ·
    Zitai Qiu
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  8. MARCH: Multi-Teacher Contrastive Hypergraph Distillation
    WWW 2026 ·
    Rongwei Xu
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  9. Re-understanding Graph Unlearning through Memorization
    WWW 2026 ·
    Pengfei Ding
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  10. Wavelet Enhanced Adaptive Frequency Filter for Sequential Recommendation
    AAAI 2026 ·
    Huayang Xu
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  11. Weakly Supervised Multimodal Claim Verification with Entity-Graph Inference
    WWW 2026 ·
    Kiana Bagheri-Lotfabad
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  12. Adaptive Graph Unlearning
    IJCAI 2025 ·
    Pengfei Ding
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  13. DELRec: Distilling Sequential Pattern to Enhance LLMs-Based Sequential Recommendation
    ICDE 2025 ·
    Haoyi Zhang
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  14. Fuzzy Collaborative Reasoning
    AAAI 2025 ·
    Huanhuan Yuan
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  15. GPE: Global Position Embedding for Trajectory Similarity Computation
    SIGKDD 2025 ·
    Yuanjun Liu
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  16. GPL4SRec: Graph Multi-Level Aware Prompt Learning for Streaming Recommendation
    IJCAI 2025 ·
    Hao Cang
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  17. RISC-V Meets RDBMS: An Experimental Study of Database Performance on an Open Instruction Set Architecture
    VLDB 2025 ·
    Yizhe Zhang
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  18. Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks
    IJCAI 2025 ·
    Han Zhang
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  19. A General Strategy Graph Collaborative Filtering for Recommendation Unlearning
    CIKM 2024 ·
    Yongjing Hao
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  20. Adaptive Hypergraph Network for Trust Prediction
    ICDE 2024 ·
    Rongwei Xu
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  21. An Empirical Analysis on Multi-turn Conversational Recommender Systems
    SIGIR 2024 ·
    Lu Zhang
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  22. Behavior Pattern Mining-based Multi-Behavior Recommendation
    SIGIR 2024 ·
    Haojie Li
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  23. CLR2G: Cross modal Contrastive Learning on Radiology Report Generation
    CIKM 2024 ·
    Hongchen Xue
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  24. Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation
    WSDM 2024 ·
    Xiuyuan Qin
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  25. Intent Distribution based Bipartite Graph Representation Learning
    SIGIR 2024 ·
    Haojie Li
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  26. KMCT: k-Means Clustering of Trajectories Efficiently in Location-Based Services
    CIKM 2024 ·
    Yuanjun Liu
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  27. Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation
    ICDE 2024 ·
    Yongjing Hao
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  28. Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering
    ICDE 2024 ·
    Yongjing Hao
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