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← Authors

Yanfang Ye

47 papers · 2018–2026 · 12 conferences · across top CS/AI conferences

Achievements

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+15 more ↓ πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (10)
🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (10) πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (71) πŸ† Grand Slam 🌱 Topic Pioneer πŸ”¬ Deep Specialist (21) 🀝 Dynamic Duo (20) πŸ—ƒοΈ Keyword Collector (159) ❓ The Questioner (2) ⚑ Prolific Year (7) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (39) πŸ”₯ Unstoppable (8)

Conferences

AAAI (10) IJCAI (9) ICML (6) ACL (5) NIPS (5) EACL (3) ICLR (3) EMNLP (2) IJCNLP (1) MIDL (1) NAACL (1) UAI (1)

Top co-authors

Chuxu Zhang (24) Zheyuan Zhang (11) Zehong Wang (9) Mingxuan Ju (8) Qianlong Wen (7) Tianyi Ma (7) Chunhui Zhang (6) Zhengqing Yuan (6) Shifu Hou (6) Liang Zhao (5)

Keywords

graph neural network (21) large language model (7) representation learning (6) heterogeneous information network (5) knowledge graph (5) heterogeneous graph (4) multi-task learning (4) disentangled representation (3) node classification (3) transfer learning (3) link prediction (3) question answering (3) code generation (3) node embedding (2) contrastive learning (2) malware detection (2) graph representation (2) graph representation learning (2) knowledge transfer (2) self-supervised learning (2)

Papers

Vision-MoR: Scaling Vision Transformer via Patch-Level Mixture-of-Recursions AAAI 2026 MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference EACL 2026 Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use EACL 2026 TTT-UNet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation MIDL 2026 What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context ACL 2026 NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering EACL 2026 AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering ACL 2026 3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation AAAI 2026 LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection ACL 2025 PsyScam: A Benchmark for Psychological Techniques in Real-World Scams EMNLP 2025 Can LLMs Convert Graphs to Text-Attributed Graphs? NAACL 2025 Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees ICML 2025 MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models ICML 2025 AutoFEA: Enhancing AI Copilot by Integrating Finite Element Analysis Using Large Language Models with Graph Neural Networks AAAI 2025 NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning ACL 2025 Beyond Message Passing: Neural Graph Pattern Machine ICML 2025 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 Subgraph Pooling: Tackling Negative Transfer on Graphs IJCAI 2024 GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning UAI 2024 How Does Message Passing Improve Collaborative Filtering? NIPS 2024 Mitigating Emergent Robustness Degradation while Scaling Graph Learning ICLR 2024 GFT: Graph Foundation Model with Transferable Tree Vocabulary NIPS 2024 From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble ICML 2024 Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization ICLR 2023 GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation NIPS 2023 Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning AAAI 2023 Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization ICLR 2023 When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations ICML 2023 Multi-objective Deep Data Generation with Correlated Property Control NIPS 2022 Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract) IJCAI 2022 Few-Shot Learning on Graphs IJCAI 2022 Co-Modality Graph Contrastive Learning for Imbalanced Node Classification NIPS 2022 Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering EMNLP 2022 Adaptive Kernel Graph Neural Network AAAI 2022 Disentangled Spatiotemporal Graph Generative Models AAAI 2022 Knowledge-aware Coupled Graph Neural Network for Social Recommendation AAAI 2021 Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond AAAI 2021 Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection IJCAI 2021 Heterogeneous Graph Structure Learning for Graph Neural Networks AAAI 2021 CoTexT: Multi-task Learning with Code-Text Transformer ACL 2021 CoTexT: Multi-task Learning with Code-Text Transformer IJCNLP 2021 Network Schema Preserving Heterogeneous Information Network Embedding IJCAI 2020 iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow IJCAI 2019 Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting AAAI 2019 Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection IJCAI 2019 Make Evasion Harder: An Intelligent Android Malware Detection System IJCAI 2018 Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-graph Based Similarities over Heterogeneous Information Network IJCAI 2018