Text Fingerprinting and Topic Mining in the Prescription Opioid Use Literature. - Huyen Le; Junxiu Zhou; Weizhong Zhao; Roger Perkins; Weigong Ge; Beverly Lyn-Cook; Henry Francis; Huixiao Hong; Weida Tong; Wen Zou (BIBM, 2021)

Discovering Drug-Drug Associations in the FDA Adverse Event Reporting System Database with Data Mining Approaches. - Weizhong Zhao; Huyen Le; James J. Chen; Hesha J. Duggirala; Richard Forshee; Taxiarchis Botsis; Henry Francis; Huixiao Hong; Weida Tong; Yi-Ting Hwang; Wen Zou (BIBM, 2021)

Ensemble approaches for Test Case Prioritization in UI testing. - Tri Cao; Tuan Vu; Huyen Le; Vu Nguyen (SEKE, 2022)

RxNorm for drug name normalization: a case study of prescription opioids in the FDA adverse events reporting system. - Huyen Le; Ru Chen; Stephen C. Harris; Hong Fang; Beverly Lyn-Cook; Huixiao Hong; Weigong Ge; Paul Rogers; Weida Tong; Wen Zou (Frontiers Bioinform., 2023)

D-SarcNet: A Dual-stream Deep Learning Framework for Automatic Analysis of Sarcomere Structures in Fluorescently Labeled hiPSC-CMs. - Huyen Le; Khiet Dang; Nhung Nguyen; Mai Tran; Hieu H. Pham 001 (BIBM, 2024)

SarcNet: A Novel AI-based Framework to Automatically Analyze and Score Sarcomere Organizations in Fluorescently Tagged hiPSC-CMs. - Huyen Le; Khiet Dang; Tien Lai; Nhung Nguyen; Mai Tran; Hieu H. Pham 001 (CoRR, 2024)

SarcNet: A Novel AI-Based Framework to Automatically Analyze and Score Sarcomere Organizations in Fluorescently Tagged HIPSC-CMS. - Huyen Le; Khiet Dang; Tien Lai; Nhung Nguyen; Mai Tran; Hieu Pham (ISBI, 2025)

With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You. - Fabian Gröger; Shuo Wen; Huyen Le; Maria Brbic (CoRR, 2025)