Yushun Dong
17 papers · 2022–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (32) π€ Dynamic Duo (13) ποΈ Keyword Collector (77)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(11)
Deep Learning
(10)
Architectures
(10)
Application Areas
(9)
Core AI
(8)
Natural Language Processing
(5)
Core Methods
(5)
Resources & Methods
(5)
Learning Paradigms
(4)
Learning Types
(4)
Knowledge & Reasoning
(2)
Applications
(2)
Representation
(2)
Healthcare & Medicine
(1)
Keywords
graph neural network
(8)
large language model
(6)
knowledge extraction
(2)
transfer learning
(2)
knowledge graph
(2)
bias detection
(1)
algorithmic fairness
(1)
model compression
(1)
information extraction
(1)
knowledge distillation
(1)
question answering
(1)
knowledge representation
(1)
few-shot learning
(1)
query efficiency
(1)
spectral analysis
(1)
semantic matching
(1)
knowledge base
(1)
functional units
(1)
domain knowledge
(1)
graph classification
(1)
Papers
Query-Efficient Domain Knowledge Stealing Against Large Language Models
AAAI 2026
Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation
AAAI 2026
BrainMAP: Learning Multiple Activation Pathways in Brain Networks
AAAI 2025
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
ICLR 2025
CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition
ICML 2025
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
ICLR 2025
Harnessing Large Language Models for Disaster Management: A Survey
ACL 2025
Learning from Diverse Reasoning Paths with Routing and Collaboration
EMNLP 2025
LLM-Empowered Patient-Provider Communication: A Data-Centric Survey From a Clinical Perspective
IJCNLP 2025
ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data
AAAI 2025
Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models
ICML 2025
Adversarial Attacks on Fairness of Graph Neural Networks
ICLR 2024
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs
EMNLP 2024
Knowledge Graph-Enhanced Large Language Models via Path Selection
ACL 2024
Towards Certified Unlearning for Deep Neural Networks
ICML 2024
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
AAAI 2023
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs
IJCAI 2022