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Biography
Dr. Liu's research agenda mostly has been about solving both theoretical and practical problems on decision making, using tools and methods found in artificial intelligence, computational social science, and computational complexity theory. His research results has been published in permier conferences and journals such as AAAI, IJCAI and AMAI. His has an Erdős number of 3. He is an AAAI and ACM member, and the founder and director of the UNF Artificial Intelligence Lab (UNFAIL).
Documentos relacionados
Cuantificación de educación / académica
Computer Science, PhD, University of Kentucky
2010 → 2016
Software Engineering, BEng
2006 → 2010
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Background parenchymal uptake classification using deep transfer learning on digital mammograms
Liu, X., Scott, C., Banerjee, I., Vachon, C. & Hruska, C., jun 1 2025, En: Smart Health. 36, 100573.Producción científica: Review article › revisión exhaustiva
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Enhanced Health Information Retrieval with Explainable Biomedical Inconsistency Detection Using Large Language Models
Lamichhane, P., Kahanda, I., Liu, X., Umapathy, K., Reddivari, S. & Arikawa, A., nov 19 2025, p. 145-168. 24 p.Producción científica: Proceedings › revisión exhaustiva
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EPDD: Electrocardiogram-Based Pulmonary Disease Detector Using Machine Learning
Lalitha Vardhini Vanaparthi, H. S., Interlichia, N., Liu, X., Nasseri, M. & Helgeson, S., 2025, 2025 IEEE 12th International Conference on Data Science and Advanced Analytics, DSAA 2025. (2025 IEEE 12th International Conference on Data Science and Advanced Analytics, DSAA 2025).Producción científica: Literary contribution
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MAPD2: Mobile Application-based Pulmonary Disease Detector Using Electrocardiograms and Deep Learning
Interlichia, N., Vanaparthi, H. S. L. V., Liu, X., Nasseri, M. & Helgeson, S., jun 24 2025, Proceedings - 2025 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2025: Applications, Systems and Engineering Technologies, CHASE 2025. p. 498-499 2 p. (Proceedings - 2025 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2025).Producción científica: Literary contribution
Acceso abierto -
Obstructive Lung Disease Classification from Electrocardiograms Using Machine Learning
Soumana, A. A., Lamichhane, P., Shabbir, M., Liu, X., Nasseri, M. & Helgeson, S., ago 2025, ACMSE 2025 - Proceedings of the 2025 ACM Southeast Conference. Association for Computing Machinery, p. 221-226 6 p. (ACMSE 2025 - Proceedings of the 2025 ACM Southeast Conference).Producción científica: Literary contribution
Acceso abierto