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Yanfang Ye

44 papers · 2018–2026 · 11 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (7) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (4) πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌈 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) NIPS (5) ACL (3) EACL (3) ICLR (3) EMNLP (2) IJCNLP (1) NAACL (1) UAI (1)

Top co-authors

Chuxu Zhang (23) Zheyuan Zhang (10) Zehong Wang (8) Mingxuan Ju (8) Shifu Hou (6) Qianlong Wen (6) Tianyi Ma (6) Chunhui Zhang (5) Yujie Fan (5) Liang Zhao (5)

Keywords

graph neural network (20) representation learning (6) large language model (6) heterogeneous information network (5) knowledge graph (4) multi-task learning (4) heterogeneous graph (4) disentangled representation (3) node classification (3) transfer learning (3) link prediction (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) collaborative filtering (2)

Papers

3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation AAAI 2026
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
NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering EACL 2026
Beyond Message Passing: Neural Graph Pattern Machine ICML 2025
MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models ICML 2025
PsyScam: A Benchmark for Psychological Techniques in Real-World Scams EMNLP 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
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection ACL 2025
Can LLMs Convert Graphs to Text-Attributed Graphs? NAACL 2025
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees ICML 2025
GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning UAI 2024
How Does Message Passing Improve Collaborative Filtering? NIPS 2024
GFT: Graph Foundation Model with Transferable Tree Vocabulary NIPS 2024
Mitigating Emergent Robustness Degradation while Scaling Graph Learning ICLR 2024
Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024
From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble ICML 2024
Subgraph Pooling: Tackling Negative Transfer on Graphs IJCAI 2024
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization ICLR 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
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation NIPS 2023
When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations ICML 2023
Co-Modality Graph Contrastive Learning for Imbalanced Node Classification NIPS 2022
Multi-objective Deep Data Generation with Correlated Property Control NIPS 2022
Few-Shot Learning on Graphs IJCAI 2022
Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract) IJCAI 2022
Adaptive Kernel Graph Neural Network AAAI 2022
Disentangled Spatiotemporal Graph Generative Models AAAI 2022
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering EMNLP 2022
Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection IJCAI 2021
Knowledge-aware Coupled Graph Neural Network for Social Recommendation AAAI 2021
CoTexT: Multi-task Learning with Code-Text Transformer IJCNLP 2021
Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond AAAI 2021
Heterogeneous Graph Structure Learning for Graph Neural Networks AAAI 2021
CoTexT: Multi-task Learning with Code-Text Transformer ACL 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
Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection IJCAI 2019
Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting AAAI 2019
Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-graph Based Similarities over Heterogeneous Information Network IJCAI 2018
Make Evasion Harder: An Intelligent Android Malware Detection System IJCAI 2018