Author

Xiaoying Kong

Northwestern Polytechnical UniversityORCID 0000-0001-9326-6171Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:proteomics· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:large language model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Xuequn ShangiD· 2 shared Ji-Ren Zhou· 1 shared Rui NiuiD· 1 shared Rui NiuiD· 1 shared Yanli LiiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 7 mutual co-author links

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2 shared papersImmunology

Xuequn ShangORCID

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2 papers

Recent·Most cited

ImmunologyIEEE International Conference on Bioinformatics and Biomedicine (BIBM)Peer-reviewedDec 15, 2025

LoFT-TCR: A LoRA-based Fine-tuning Framework for TCR-Antigen Binding Prediction

Rui Niu, Xiaoying Kong, Xuequn Shang

LoFT-TCR improves TCR-antigen binding prediction using LoRA fine-tuning of ESM-2, achieving better accuracy than existing methods.

DOI 10.1109/bibm66473.2025.11356463

proteomicsdeep learning

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ImmunologybioRxivPreprintJun 27, 2025

TridentTCR: Predicting T Cell Receptor Specificity for Antigens and Autoimmune-Related Targets via a Topology-Aware Graph and Large Language Model

Rui Niu, Xiaoying Kong, Ji-Ren Zhou…·Xuequn Shang

TridentTCR predicts TCR specificity for antigens and autoimmune targets using a graph neural network and large language model, achieving better classification and identifying cross-reactivity in type 1 diabetes.

DOI 10.1101/2025.06.27.661632

humanproteomics

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