Yushun Dong
18 papers · 2022–2026 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (9)
🌈
Renaissance Researcher
(6)
🌍
Conference Polyglot
(7)
🤝
Dynamic Duo
(13)
🔥
Unstoppable
(5)
💎
Century Club
(15)
⚡
Prolific Year
(9)
🗃️
Keyword Collector
(53)
Conferences
AAAI (5)
ICLR (3)
ICML (3)
ACL (2)
EMNLP (2)
AACL (1)
IJCAI (1)
IJCNLP (1)
Top co-authors
Keywords
large language model
(5)
graph neural network
(5)
transfer learning
(2)
knowledge extraction
(2)
medical language model
(2)
patient-provider communication
(2)
knowledge base
(1)
graph classification
(1)
model compression
(1)
knowledge representation
(1)
bias detection
(1)
query efficiency
(1)
counterfactual explanation
(1)
semantic matching
(1)
question answering
(1)
mixture of expert
(1)
surrogate model
(1)
information extraction
(1)
knowledge graph
(1)
domain knowledge
(1)
Papers
Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation
AAAI 2026
Query-Efficient Domain Knowledge Stealing Against Large Language Models
AAAI 2026
BrainMAP: Learning Multiple Activation Pathways in Brain Networks
AAAI 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
AACL 2025
ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data
AAAI 2025
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
ICLR 2025
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
ICLR 2025
Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models
ICML 2025
CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition
ICML 2025
LLM-Empowered Patient-Provider Communication: A Data-Centric Survey From a Clinical Perspective
IJCNLP 2025
Knowledge Graph-Enhanced Large Language Models via Path Selection
ACL 2024
Adversarial Attacks on Fairness of Graph Neural Networks
ICLR 2024
Towards Certified Unlearning for Deep Neural Networks
ICML 2024
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs
EMNLP 2024
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
AAAI 2023
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs
IJCAI 2022