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Yanfang Ye

University of Notre Dame, IN, USA

44 papers at tracked venues · 31 at CORE A* · active 2024–2026

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Venues

ACL ×5ICML ×5SIGKDD ×5NeurIPS ×4WWW ×4AAAI ×3CHI ×3EACL ×3WSDM ×2ECML-PKDD ×1EMNLP ×1ICDM ×1ICLR ×1IJCAI ×1IUI ×1NAACL ×1RecSys ×1UAI ×1UIST ×1

Frequent coauthors

Zehong Wang
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Zheyuan Zhang
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Zhongyu Ouyang
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Tianyi Ma
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Chaoran Chen
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Yunhong He
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Han Bao
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Yiyue Qian
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Qianlong Wen
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Xiangchi Yuan
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Xiaoyu Ma
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Jiachi Zhao
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Papers

  1. 3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation
    AAAI 2026 ·
    Yunhong He
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  2. AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering
    ACL 2026 ·
    Zheyuan Zhang
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  3. BLURR: A Boosted Low-Resource Inference for Vision-Language-Action Model
    WWW 2026 ·
    Xiaoyu Ma
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  4. Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance
    WWW 2026 ·
    Jiachi Zhao
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  5. Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight
    CHI 2026 ·
    Jingyu Tang
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  6. Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
    EACL 2026 ·
    Yiyang Li
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  7. IntraAI: Bridging Human-AI Understanding Through Intelligent Interface Design
    WWW 2026 ·
    Han Bao
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  8. MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference
    EACL 2026 ·
    Zheyuan Zhang
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  9. My Favorite Streamer is an LLM: Discovering, Bonding, and Co-Creating in AI VTuber Fandom
    CHI 2026 ·
    Jiayi Ye
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  10. NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering
    EACL 2026 ·
    Kaiwen Shi
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  11. PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models
    ACL 2026 ·
    Han Bao
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  12. Vision-MoR: Scaling Vision Transformer via Patch-Level Mixture-of-Recursions
    AAAI 2026 ·
    Yunhong He
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  13. What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context
    ACL 2026 ·
    Zhongyu Ouyang
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  14. Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning
    WSDM 2025 ·
    Yiyue Qian
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  15. AutoData: A Multi-Agent System for Open Web Data Collection
    NeurIPS 2025 ·
    Tianyi Ma
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  16. AutoFEA: Enhancing AI Copilot by Integrating Finite Element Analysis Using Large Language Models with Graph Neural Networks
    AAAI 2025 ·
    Shifu Hou
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  17. Beyond Message Passing: Neural Graph Pattern Machine
    ICML 2025 ·
    Zehong Wang
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  18. CLEAR: Towards Contextual LLM-Empowered Privacy Policy Analysis and Risk Generation for Large Language Model Applications
    IUI 2025 ·
    Chaoran Chen
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  19. Can LLMs Convert Graphs to Text-Attributed Graphs?
    NAACL 2025 ·
    Zehong Wang
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  20. Generative Graph Pattern Machine
    NeurIPS 2025 ·
    Zehong Wang
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  21. Graph Foundation Models: Challenges, Methods, and Open Questions
    SIGKDD 2025 ·
    Zehong Wang
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  22. Graph Prompting for Graph Learning Models: Recent Advances and Future Directions
    SIGKDD 2025 ·
    Xingbo Fu
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  23. Hypergraph Representation Learning with Adaptive Broadcasting and Receiving
    ICDM 2025 ·
    Tianyi Ma
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  24. LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
    ACL 2025 ·
    Tianyi Ma
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  25. MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
    ICML 2025 ·
    Jiazheng Li
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  26. MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation
    SIGKDD 2025 ·
    Zheyuan Zhang
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  27. NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning
    ACL 2025 ·
    Zheyuan Zhang
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  28. Non-parametric Graph Convolution for Re-ranking in Recommendation Systems
    RecSys 2025 ·
    Zhongyu Ouyang
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  29. PsyScam: A Benchmark for Psychological Techniques in Real-World Scams
    EMNLP 2025 ·
    Shang Ma
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  30. Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
    ICML 2025 ·
    Zehong Wang
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  31. Training MLPs on Graphs without Supervision
    WSDM 2025 ·
    Zehong Wang
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  32. Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations
    UIST 2025 ·
    Chaoran Chen
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  33. An Empathy-Based Sandbox Approach to Bridge the Privacy Gap among Attitudes, Goals, Knowledge, and Behaviors
    CHI 2024 ·
    Chaoran Chen
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  34. Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns
    SIGKDD 2024 ·
    Zheyuan Zhang
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  35. Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement
    WWW 2024 ·
    Yiyue Qian
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  36. From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble
    ICML 2024 ·
    Qianlong Wen
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  37. GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning
    UAI 2024 ·
    Qianlong Wen
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  38. GFT: Graph Foundation Model with Transferable Tree Vocabulary
    NeurIPS 2024 ·
    Zehong Wang
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  39. Graph Cross Supervised Learning via Generalized Knowledge
    SIGKDD 2024 ·
    Xiangchi Yuan
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  40. How Does Message Passing Improve Collaborative Filtering?
    NeurIPS 2024 ·
    Mingxuan Ju
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  41. Mitigating Emergent Robustness Degradation while Scaling Graph Learning
    ICLR 2024 ·
    Xiangchi Yuan
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  42. Position: TrustLLM: Trustworthiness in Large Language Models
    ICML 2024 ·
    Yue Huang
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  43. Subgraph Pooling: Tackling Negative Transfer on Graphs
    IJCAI 2024 ·
    Zehong Wang
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  44. Symbolic Prompt Tuning Completes the App Promotion Graph
    ECML-PKDD 2024 ·
    Zhongyu Ouyang
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