Yanfang Ye
46 papers · 2018–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (80) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Grand Slam
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Deep Specialist
(29)
π₯
Mega-Team Β· Legion
π€
Dynamic Duo
(24)
π§¬
Topic Evolution
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Keyword Champion
(2)
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Triple Crown
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
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The Questioner
(3)
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(9)
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Trend Setter
ποΈ
Keyword Collector
(200)
Venues
Top co-authors
Research topics
Deep Learning
(35)
Machine Learning
(35)
Architectures
(32)
Core Methods
(25)
Artificial Intelligence
(24)
Core AI
(21)
Learning Types Β· Machine Learning
(19)
Learning Types Β· Deep Learning
(10)
Learning Paradigms
(7)
Natural Language Processing
(5)
Application Areas
(5)
Computer Vision
(4)
Data Science & Analytics
(4)
Applications
(4)
Computer Science
(3)
Keywords
graph neural network
(26)
large language model
(8)
representation learning
(7)
self-supervised learning
(5)
heterogeneous information network
(5)
knowledge graph
(5)
node classification
(4)
multi-task learning
(4)
heterogeneous graph
(4)
link prediction
(3)
transfer learning
(3)
class imbalance
(3)
question answering
(3)
graph representation
(3)
adversarial attack
(3)
disentangled representation
(3)
node embedding
(3)
pretraining
(2)
message passing
(2)
malware detection
(2)
Papers
3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation
AAAI 2026
AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering
ACL 2026
Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
EACL 2026
MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference
EACL 2026
NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering
EACL 2026
TTT-UNet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation
MIDL 2026
Vision-MoR: Scaling Vision Transformer via Patch-Level Mixture-of-Recursions
AAAI 2026
What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context
ACL 2026
AutoFEA: Enhancing AI Copilot by Integrating Finite Element Analysis Using Large Language Models with Graph Neural Networks
AAAI 2025
Beyond Message Passing: Neural Graph Pattern Machine
ICML 2025
Can LLMs Convert Graphs to Text-Attributed Graphs?
NAACL 2025
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
ACL 2025
MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
ICML 2025
NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning
ACL 2025
PsyScam: A Benchmark for Psychological Techniques in Real-World Scams
EMNLP 2025
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
ICML 2025
From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble
ICML 2024
GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning
UAI 2024
GFT: Graph Foundation Model with Transferable Tree Vocabulary
NeurIPS 2024
How Does Message Passing Improve Collaborative Filtering?
NeurIPS 2024
Mitigating Emergent Robustness Degradation while Scaling Graph Learning
ICLR 2024
Position: TrustLLM: Trustworthiness in Large Language Models
ICML 2024
Subgraph Pooling: Tackling Negative Transfer on Graphs
IJCAI 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
NeurIPS 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
Adaptive Kernel Graph Neural Network
AAAI 2022
Co-Modality Graph Contrastive Learning for Imbalanced Node Classification
NeurIPS 2022
Disentangled Spatiotemporal Graph Generative Models
AAAI 2022
Few-Shot Learning on Graphs
IJCAI 2022
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering
EMNLP 2022
Multi-objective Deep Data Generation with Correlated Property Control
NeurIPS 2022
Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract)
IJCAI 2022
Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection
IJCAI 2021
CoTexT: Multi-task Learning with Code-Text Transformer
ACL 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
Knowledge-aware Coupled Graph Neural Network for Social Recommendation
AAAI 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
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