Yankai Chen
Scholar

Yankai Chen

Google Scholar ID: 5ZOi7UAAAAAJ
Postdoctoral Associate, Cornell University
Information RetrievalKnowledge MiningLarge Language ModelsAgentic AI
Citations & Impact
All-time
Citations
972
 
H-index
17
 
i10-index
23
 
Publications
20
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Published 'Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies' at NeurIPS 2025
  • Published 'AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees' at NeurIPS 2025
  • Co-authored survey 'Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions' in EMNLP Findings 2025
  • Published 'Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning' in EMNLP Findings 2025
  • Co-authored survey 'A Survey of RAG-Reasoning Systems in Large Language Models' in EMNLP Findings 2025
Background
  • Research interests lie in Data Mining for Information Retrieval and Knowledge Fusion
  • Specific topics include: Graph-text fusion (e.g., graph language models, text-attributed graphs)
  • LLM-related problems (e.g., personalized LLMs, retrieval-augmented generation)
  • Information retrieval applications (e.g., search and recommender systems)
  • Large-scale graph data mining and learning (e.g., graph neural networks, knowledge graphs, self-supervised graph learning)
  • Efficient information retrieval (e.g., low-bit quantization, learning to hash)