Nguyen Minh Y received the Bachelor of Information Technology degree from Ho Chi Minh City University of Foreign Languages and Information Technology (HUFLIT), Ho Chi Minh City, Vietnam. His research interests include artificial intelligence, natural language processing, knowledge graphs, knowledge graph completion, fact verification, and trustworthy machine learning. His work focuses on developing reproducible and auditable AI methods for graph-based reasoning, evidence organization, and knowledge-intensive tasks. He is particularly interested in provenance-aware fact verification, retrieval-augmented verification, and robust evaluation under sparse or noisy evidence conditions, with the goal of developing AI systems that are effective, transparent, explainable, and reproducible.
Journal Papers
[1]
Nguyen Thi Thuy A, Huynh Ly Tan Khoa, Nguyen Minh Y, and Tieu Phung Mai Suong, “A MULTI-METHOD STUDY ON INTENT DETECTION IN HUMAN-MACHINE INTERACTION,” HUFLIT Journal of Science, vol. 10, no. 3, pp. 37, 2026, doi: 10.71091/2354-113X/385.
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[2]
Phuong Lam, Minh Y Nguyen, and Thien Khai Tran, “Parameter-efficient image–text classification via bidirectional fusion and directional disagreement refinement,” Displays, 2026, doi: 10.1016/j.displa.2026.103679.
Q2 SCIE IF 3.9
[3]
Dai Phuoc Nguyen, Thien Khai Tran, Y Minh Nguyen, and Bay Vo, “ViClickbait-2025: A comprehensive dataset for Vietnamese clickbait detection,” Data in Brief, vol. 63, pp. 112164, 2025, doi: https://doi.org/10.1016/j.dib.2025.112164.
Q3
Conference Papers
[1]
Nguyen Phuoc Dai, Huynh Ly Tan Khoa, Luu Van Nhat Hao, Y. Nguyen Minh, Bay Vo, and Thien Khai Tran, “Benchmarking Conventional, Deep, and Large Language Models on Vietnamese Clickbait Detection,” in Proc. Intelligent Systems and Data Science: ISDS 2025, Communications in Computer and Information Science, vol. 2714, pp. 489-496, 2026, doi: 10.1007/978-981-95-3358-9_35.
[2]
Nguyen Hong Vu, Pham Ngoc Bao, Hoang Thi Minh Anh, Vu Phu Loc, Huynh Thi Cam Dung, Minh Y. Nguyen, Luu Van Nhat Hao, and Thien Khai Tran, “Enhancing Fake News Detection Resilience Against Style Attacks: The Content-Style Invariant Detector,” in Proc. Computational Intelligence in Engineering Science: ICCIES 2026, Communications in Computer and Information Science, vol. 2943, pp. 233-247, 2026, doi: 10.1007/978-3-032-21625-0_17.
[3]
Thanh-Long Nguyen, Phan Hoang Minh Phuoc, Huynh Ly Tan Khoa, Y. Nguyen Minh, and Luu Van Nhat Hao, “Integrating Compositional and Contextual Protein Representations for Improved Allergenicity Assessment,” in Proc. Computational Intelligence in Engineering Science: ICCIES 2026, Communications in Computer and Information Science, vol. 2944, pp. 318-328, 2026, doi: 10.1007/978-3-032-21628-1_23.