Yinhan He
7 papers · 2024–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(22)
⚡
Prolific Year · Productive
Top co-authors
Research topics
Artificial Intelligence
(6)
Deep Learning
(5)
Machine Learning
(5)
Architectures
(4)
Core AI
(4)
Natural Language Processing
(3)
Core Methods
(3)
Application Areas
(2)
Generation
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Types · Deep Learning
(2)
Applications
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Machine Learning
(1)
Resources & Methods
(1)
Keywords
graph neural network
(4)
large language model
(3)
retrieval-augmented generation
(2)
preference learning
(1)
graph representation
(1)
message passing
(1)
distribution shift
(1)
spectral analysis
(1)
functional units
(1)
preference modeling
(1)
knowledge graph
(1)
counterfactual explanation
(1)
mechanistic interpretability
(1)
neighborhood aggregation
(1)
prompt tuning
(1)
molecular property prediction
(1)
federated graph learning
(1)
graph augmentation
(1)
graph retrieval
(1)
dialogue system
(1)
Papers
CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture
EMNLP 2025
Edge Prompt Tuning for Graph Neural Networks
ICLR 2025
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
ICLR 2025
LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience
EMNLP 2025
Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models
ICML 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning
AAAI 2025
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs
EMNLP 2024