Gilchan Park

According to our database, Gilchan Park authored at least 23 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis.

Sanket R. Jantre, Tianle Wang, Gilchan Park, Kriti Chopra, Nicholas Jeon, Xiaoning Qian, Nathan M. Urban, Byung-Jun Yoon

CoRR, February, 2025

Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge.

Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero, Shinjae Yoo, Shantenu Jha

J. Comput. Biol., 2025

Pareto Prompt Optimization.

Guang Zhao, Byung-Jun Yoon, Gilchan Park, Shantenu Jha, Shinjae Yoo, Xiaoning Qian

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features.

Gilchan Park, Paul Baity, Byung-Jun Yoon, Adolfy Hoisie

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Density estimation via measure transport: Outlook for applications in the biological sciences.

Vanessa López-Marrero, Patrick R. Johnstone, Gilchan Park, Xihaier Luo

Stat. Anal. Data Min., June, 2024

Parallel hybrid quantum-classical machine learning for kernelized time-series classification.

Jack S. Baker, Gilchan Park, Kwangmin Yu, Ara Ghukasyan, Oktay Göktas, Santosh Kumar Radha

Quantum Mach. Intell., June, 2024

Pathway-based analyses of gene expression profiles at low doses of ionizing radiation.

Xihaier Luo, Seyednami Niyakan, Patrick R. Johnstone, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Shantenu Jha, Byung-Jun Yoon

Frontiers Bioinform., 2024

Leveraging LLMs and Web-based Visualizations for Profiling Bacterial Host Organisms and Genetic Toolboxes.

Gilchan Park, Vivek Mutalik, Christopher Neely, Carlos Soto, Shinjae Yoo, Paramvir Dehal

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

Evaluating Large Language Models for Predicting Protein Behavior under Radiation Exposure and Disease Conditions.

Ryan Engel, Gilchan Park

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

2023

Quantum multi-programming for Grover's search.

Gilchan Park, Kun Zhang, Kwangmin Yu, Vladimir E. Korepin

Quantum Inf. Process., January, 2023

Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge.

Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero, Patrick R. Johnstone, Shinjae Yoo, Francis J. Alexander

CoRR, 2023

Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges.

Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero, Patrick R. Johnstone, Shinjae Yoo, Francis J. Alexander

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022

Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context Information.

Gilchan Park, Sean McCorkle, Carlos Soto, Ian Blaby, Shinjae Yoo

Proceedings of the IEEE International Conference on Big Data, 2022

Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response.

Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Advances in scientific literature mining for interpreting materials characterization.

Gilchan Park, Line Pouchard

Mach. Learn. Sci. Technol., 2021

Towards Text-based Phishing Detection.

Gilchan Park, Julia M. Taylor

CoRR, 2021

Towards The Automatic Coding of Medical Transcripts to Improve Patient-Centered Communication.

Gilchan Park, Julia Taylor Rayz, Cleveland G. Shields

CoRR, 2021

2020

Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19.

Atanu Acharya, Rupesh Agarwal, Matthew B. Baker, Jérôme Baudry, Debsindhu Bhowmik, Swen Böhm, Kendall G. Byler, Sam Yen-Chi Chen, Leighton Coates, Connor J. Cooper, Omar Demerdash, Isabella Daidone, John D. Eblen, Sally R. Ellingson, Stefano Forli, Jens Glaser, James C. Gumbart, John Gunnels, Oscar R. Hernandez, Stephan Irle, Daniel W. Kneller, Andrey Kovalevsky, Jeffrey M. Larkin, Travis J. Lawrence, Scott LeGrand, Shih-Hsien Liu, Julie C. Mitchell, Gilchan Park, Jerry M. Parks, Anna Pavlova, Loukas Petridis, Duncan Poole, Line Pouchard, Arvind Ramanathan, David M. Rogers, Diogo Santos-Martins, Aaron Scheinberg, Ada Sedova, Yue Shen, Jeremy C. Smith, Micholas Dean Smith, Carlos Soto, Aristides Tsaris, Mathialakan Thavappiragasam, Andreas F. Tillack, Josh Vincent Vermaas, Van Quan Vuong, Junqi Yin, Shinjae Yoo, Mai Zahran, Laura Zanetti Polzi

J. Chem. Inf. Model., 2020

Figure Descriptive Text Extraction Using Ontological Representation.

Gilchan Park, Julia Taylor Rayz, Line Pouchard

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

2018

Towards Ontology-Based Phishing Detection

Gilchan Park

PhD thesis, 2018

Ontological Detection of Phishing Emails.

Gilchan Park, Julia Rayz

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2015

Using Syntactic Features for Phishing Detection.

Gilchan Park, Julia M. Taylor

CoRR, 2015

2014

Comparing machine and human ability to detect phishing emails.

Gilchan Park, Lauren M. Stuart, Julia M. Taylor, Victor Raskin

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014