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Yu Wang

University of Oregon, Department of Computer Science, Eugene, OR, USA

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

DBLP profile ↗ORCID 0000-0001-6908-508X ↗Google Scholar ↗Homepage ↗

Venues

SIGKDD ×4WSDM ×4AAAI ×3ACL ×3WWW ×3CIKM ×2EMNLP ×2ICLR ×2EACL ×1ICCV ×1NAACL ×1NeurIPS ×1

Frequent coauthors

Bo Ni
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Yongjia Lei
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Xueqi Cheng
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Yuying Zhao
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Riya Ponraj
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Utkarsh Sahu
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Haoyu Han
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Zhisheng Qi
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Leyao Wang
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Mohamed Elmoghany
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Kai Guo
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Yu Xia
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Papers

  1. A Survey on LLM-based Conversational User Simulation
    EACL 2026 ·
    Bo Ni
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  2. Building Transparency in Deep Learning-Powered Network Traffic Classification: A Traffic-Explainer Framework
    SIGKDD 2026 ·
    Riya Ponraj
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  3. Knowledge Homophily in Large Language Models
    WSDM 2026 ·
    Utkarsh Sahu
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  4. Reasoning by Exploration: A Unified Approach to Retrieval and Generation over Graphs
    WWW 2026 ·
    Haoyu Han
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  5. Rigorizing Retrieval-augmented Generation with Structured Knowledge Intelligence (6 Hrs)
    WSDM 2026 ·
    Zhisheng Qi
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  6. Rule Mining and Learning for Structured Knowledge Retrieval
    WSDM 2026 ·
    Yongjia Lei
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  7. SaVe-TAG: LLM-based Interpolation for Long-Tailed Text-Attributed Graphs
    SIGKDD 2026 ·
    Leyao Wang
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  8. A Large-scale Training Paradigm for Graph Generative Models
    ICLR 2025 · Yu Wang
  9. A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality
    ICCV 2025 ·
    Mohamed Elmoghany
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  10. BTS: A Comprehensive Benchmark for Tie Strength Prediction
    SIGKDD 2025 ·
    Xueqi Cheng
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  11. Demystifying the Power of Large Language Models in Graph Generation
    NAACL 2025 · Yu Wang
  12. Edge Classification on Graphs: New Directions in Topological Imbalance
    WSDM 2025 ·
    Xueqi Cheng
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  13. Empowering GraphRAG with Knowledge Filtering and Integration
    EMNLP 2025 ·
    Kai Guo
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  14. From Selection to Generation: A Survey of LLM-based Active Learning
    ACL 2025 ·
    Yu Xia
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  15. GUI Agents: A Survey
    ACL 2025 ·
    Dang Nguyen
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  16. Machine Learning on Graphs in the Era of Generative Artificial Intelligence
    SIGKDD 2025 · Yu Wang
  17. Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
    EMNLP 2025 ·
    Junda Wu
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  18. Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases
    ACL 2025 ·
    Yongjia Lei
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  19. Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective
    AAAI 2025 ·
    Bo Ni
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  20. A Topological Perspective on Demystifying GNN-Based Link Prediction Performance
    ICLR 2024 · Yu Wang
  21. Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness
    WWW 2024 ·
    Yuying Zhao
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  22. Data Quality-aware Graph Machine Learning
    CIKM 2024 · Yu Wang
  23. Knowledge Graph Prompting for Multi-Document Question Answering
    AAAI 2024 · Yu Wang
  24. Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation
    WWW 2024 · Yu Wang
  25. Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation
    AAAI 2024 ·
    Yuying Zhao
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  26. Topology-aware Retrieval Augmentation for Text Generation
    CIKM 2024 · Yu Wang
  27. WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking
    NeurIPS 2024 ·
    Yunchao Liu
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