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Mingchen Li

li003378@umn.edu. My principal research interests lie in the area of knowledge graph and natural language processing (e.g. knowledge graph embedding, question answering over KG, zero shot learning, etc).

Thank you to all my collaborators! If you are interested in my work and would like to engage in exciting projects together, please feel free to reach out to me via email at li003378@umn.edu.

Collaborators:

Georgia State University, US. Semantic-Structure based Query Graph Prediction for KGQA

The University of Sheffield, UK. A Hierarchical N-Gram Framework for Zero-Shot Link Prediction

Virginia Tech, US. Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking

Emory Univerisity, US. A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models

University of Minnesota Twin Cities, US. PeTailor: Improving Large Language Model by Tailored Chunk Scorer in Biomedical Triple Extraction