A new feature selection approach for optimizing prediction models, applied to breast cancer subtype classification. - Huy Quang Pham; Alioune Ngom; Luis Rueda 001 (BIBM, 2016)

PAFS - An efficient method for classifier-specific feature selection. - Huy Quang Pham; Alioune Ngom; Luis Rueda 001 (SSCI, 2016)

Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning. - Iman Rezaeian; Eliseos J. Mucaki; Katherina Baranova; Huy Quang Pham; Dimo Angelov; Alioune Ngom; Luis Rueda 001; Peter K. Rogan (F1000Research, 2016)

Predicting Breast Cancer Outcome under Different Treatments by Feature Selection Approaches. - Huy Quang Pham; Luis Rueda 001; Alioune Ngom (BCB, 2017)

Outlier Genes as Biomarkers of Breast Cancer Survivability in Time-Series Data. - Naveen Mangalakumar; Abed Alkhateeb; Huy Quang Pham; Luis Rueda 001; Alioune Ngom (BCB, 2017)

A Network-based Machine Learning Approach for Identifying Biomarkers of Breast Cancer Survivability. - Huy Quang Pham; Jurko Guba; Mousa Gawanmeh; Lisa A. Porter; Alioune Ngom (BCB, 2019)

Steerable Features for Resilient Image Watermark. - Dao Nam Anh; Huy Quang Pham; Doan Thi Huong Giang (MAPR, 2019)

A Data Integration Approach for Detecting Biomarkers of Breast Cancer Survivability. - Huy Quang Pham; Luis Rueda 001; Alioune Ngom (IWBBIO, 2020)

Structuring Element for Secure Reversible Watermarking. - Dao Nam Anh; Huy Quang Pham (MAPR, 2020)

Feature Analysis for Imbalanced Learning. - Dao Nam Anh; Duong Hung Bui; Huy Quang Pham; Xuan Tho Dang (J. Adv. Comput. Intell. Intell. Informatics, 2020)

Machine Learning Approaches for Breast Cancer Survivability Prediction. - Huy Quang Pham (2020)

MAT: Effective Link Prediction via Mutual Attention Transformer. - Quan Van Nguyen; Huy Quang Pham; Dan Quang Tran; Thang Kien-Bao Nguyen; Nghia Hieu Nguyen (DSAA, 2023)

UIT-DarkCow team at ImageCLEFmedical Caption 2024: Diagnostic Captioning for Radiology Images Efficiency with Transformer Models. - Quan Van Nguyen; Huy Quang Pham; Dan Quang Tran; Thang Kien-Bao Nguyen; Nhat-Hao Nguyen-Dang; Thien B. Nguyen-Tat (CLEF (Working Notes), 2024)

ViTextVQA: A Large-Scale Visual Question Answering Dataset for Evaluating Vietnamese Text Comprehension in Images. - Quan Van Nguyen; Dan Quang Tran; Huy Quang Pham; Thang Kien-Bao Nguyen; Nghia Hieu Nguyen; Kiet Van Nguyen; Ngan Luu-Thuy Nguyen (CoRR, 2024)

ViOCRVQA: Novel Benchmark Dataset and Vision Reader for Visual Question Answering by Understanding Vietnamese Text in Images. - Huy Quang Pham; Thang Kien-Bao Nguyen; Quan Van Nguyen; Dan Quang Tran; Nghia Hieu Nguyen; Kiet Van Nguyen; Ngan Luu-Thuy Nguyen (CoRR, 2024)

UIT-DarkCow team at ImageCLEFmedical Caption 2024: Diagnostic Captioning for Radiology Images Efficiency with Transformer Models. - Quan Van Nguyen; Huy Quang Pham; Dan Quang Tran; Thang Kien-Bao Nguyen; Nhat-Hao Nguyen-Dang; Bao-Thien Nguyen-Tat (CoRR, 2024)

Top 2 at ALQAC 2024: Large Language Models (LLMs) for Legal Question Answering. - Huy Quang Pham; Quan Van Nguyen; Dan Quang Tran; Thang Kien-Bao Nguyen; Kiet Van Nguyen (Int. J. Asian Lang. Process., 2025)

ViOCRVQA: novel benchmark dataset and VisionReader for visual question answering by understanding Vietnamese text in images. - Huy Quang Pham; Thang Kien-Bao Nguyen; Quan Van Nguyen; Dan Quang Tran; Nghia Hieu Nguyen; Kiet Van Nguyen; Ngan Luu-Thuy Nguyen (Multim. Syst., 2025)