Towards Efficient Discovery of Stable Periodic Patterns in Big Columnar Temporal Databases. - Hong N. Dao; Penugonda Ravikumar; Palla Likhitha; Bathala Venus Vikranth Raj; R. Uday Kiran; Yutaka Watanobe; Incheon Paik (IEA/AIE, 2022)

Patient Similarity using Electronic Health Records and Self-supervised Learning. - Hong N. Dao; Incheon Paik (MCSoC, 2023)

Finding Stable Periodic-Frequent Itemsets in Big Columnar Databases. - Hong N. Dao; Penugonda Ravikumar; Palla Likhitha; Rage Uday Kiran; Yutaka Watanobe; Incheon Paik (IEEE Access, 2023)

A Multimodal Transfer Learning Approach Using PubMedCLIP for Medical Image Classification. - Hong N. Dao; Tuyen Nguyen; Chérubin Mugisha; Incheon Paik (IEEE Access, 2024)

Leveraging LLMs for COVID-19 Fake News Generation and Detection: A Comparative Analysis on Twitter Data. - Hong N. Dao; Yasuhiro Hashimoto; Incheon Paik; Truong Cong Thang (IEEE Access, 2025)