Research
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Our research fields are as follows:
Knowledge Representation and Learning
- Representation Learning on Knowledge Graphs
- Knowledge Graph Embedding & Graph Neural Networks
- Learning to Reason with Large Language Models
NLP with Knowledge Graphs & Language Models
- Question Answering over Knowledge Graphs
- Conversational Recommender Systems
- Persona-Grounded, Emotion-Support Dialogue Systems
- Information Extraction from Multi-modal Contents
- Knowledge Graph Completion and Validation
Semantic Web Foundations and Technologies
- Ontology Engineering & Knowledge Graph Construction
- Planning, Reasoning, Coordination for LLM-based Multi-Agents
- Semantic Web Services: Discovery, Selection, Composition, Orchestration
