ARGH!: Automated Rumor Generation Hub. - Larry Huynh; Thai Nguyen; Joshua Goh; Hyoungshick Kim; Jin B. Hong (CIKM, 2021)

Quantum-Inspired Machine Learning: a Survey. - Larry Huynh; Jin B. Hong; Ajmal Mian; Hajime Suzuki; Yanqiu Wu 002; Seyit Camtepe (CoRR, 2023)

Intrusion Detection Systems Using Quantum-Inspired Density Matrix Encodings. - Larry Huynh; Jin B. Hong; Ajmal Mian; Hajime Suzuki; Seyit Camtepe (DSN-W, 2024)

Improving the Robustness of Rumor Detection Models with Metadata-Augmented Evasive Rumor Datasets. - Larry Huynh; Andrew Gansemer; Hyoungshick Kim; Jin B. Hong (WISE (5), 2024)

Rumor Alteration for Improving Rumor Generation. - Larry Huynh; Jesse Kilcullen; Jin B. Hong (WISE (5), 2024)

Expectations Versus Reality: Evaluating Intrusion Detection Systems in Practice. - Larry Huynh; Jake Hesford; Daniel Cheng; Alan Wan; Seungho Kim; Hyoungshick Kim; Jin B. Hong (DSN-S, 2025)

Detecting Code Vulnerabilities using LLMs. - Larry Huynh; Yinghao Zhang; Djimon Jayasundera; Woojin Jeon; Hyoungshick Kim; Tingting Bi; Jin B. Hong (DSN, 2025)