Haomiao Luo

Automated Knowledge Graph Construction for CAR T Cell Receptor Design via Hybrid Text Mining

This paper constructs a knowledge graph of CAR T cell signaling interactions using automated text mining and large language models to aid in CAR design.

An Open-Set Semi-Supervised Multi-Task Learning Framework for Context Classification in Biomedical Texts

The paper introduces CELESTA, a framework for biomedical context classification that improves accuracy by integrating semi-supervised multi-task learning and a large-scale annotated dataset.

GBM model refinement with literature curation, rule-based NLP, and LLMs

This work improves a GBM mechanistic model and evaluates NLP and LLM approaches for model refinement using graph metrics and literature curation.

The BioRECIPE Knowledge Representation Format

The paper introduces the BioRECIPE format for representing biological models to enable human-machine interaction and model development.

VIOLIN: A modular framework for scalable reconciliation of heterogeneous interaction graphs

VIOLIN reconciles heterogeneous interaction graphs with extracted molecular interactions, showing stable and interpretable results across different models and datasets.