My name is Luu Van Nhat Hao, and I have a background in Information Technology with a specialization in Artificial Intelligence. I am particularly interested in multimodal learning, fake news detection, evidence-based reasoning, and trustworthy AI. Through my research projects, I have worked on developing models that analyze textual, visual, and structural information to better understand and verify online content. I have also gained experience in writing academic papers, conducting experiments, analyzing model performance, and building AI-based educational applications. In addition to research, I enjoy sharing technical knowledge and creating interactive tools that make complex concepts, such as Transformers and BERT, easier to understand. My long-term goal is to pursue advanced study in Artificial Intelligence, contribute to high-impact research, and develop reliable AI systems that can address meaningful real-world problems.
Journal Papers
[1]
Luu Van Nhat Hao, Tieu Phung Mai Suong, Nguyen Khanh Vy, and Thien Khai Tran, “Dominance aware multimodal rumor verification using reliability calibrated multi-expert inference,” Discover Artificial Intelligence, 2026, doi: 10.1007/s44163-026-01687-1.
Q1
[2]
Tran Tri Dang, Hao Luu Van Nhat, and Thien Khai Tran, “MOSAIC: a structurally robust multimodal framework for fine-grained fake news detection via optimal transport and adaptive expert routing,” Data Technologies and Applications, pp. 1-15, 2026, doi: 10.1108/DTA-07-2026-0792.
Q2 SCIE
[3]
Nguyen Van Xanh, Luu Van Nhat Hao, Dinh Hung, and Dinh Minh Hoa, “FINE-TUNING PRE-TRAINED LANGUAGE MODELS FOR VIETNAMESE: A COMPARATIVE STUDY OF FULL FINE-TUNING AND LORA,” HUFLIT Journal of Science, vol. 9, no. 3, pp. 36, 2025.
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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 Phuoc Dai, Luu Van Nhat Hao, and Thien Khai Tran, “Clickbait Detection: A Comparative Analysis of Traditional Machine Learning, Deep Learning, and Large Language Models,” in Proc. Computational Intelligence in Engineering Science, pp. 3-12, 2026.
[3]
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.
[4]
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.