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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
2010 → 2016
Software Engineering, BEng
2006 → 2010
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Dwell Time Estimation Using Periodic Image Captures and Deep Learning
Butoto, J., Liu, X. & Sando, T., 2026, En: Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS. 39, 1Producción científica: Conference article › revisión exhaustiva
Acceso abierto -
Multi-Label Heart Disease Classification Using Electrocardiograms and Machine Learning
Kotagiri, A. & Liu, X., 2026, En: Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS. 39, 1Producción científica: Conference article › revisión exhaustiva
Acceso abierto -
Obstructive Lung Disease Classification from Electrocardiograms Using Machine Learning
Soumana, A. A., Lamichhane, P., Shabbir, M., Liu, X., Nasseri, M. & Helgeson, S., may 8 2026, Proceedings of the 2025 ACM Southeast Conference, ACMSE 2025. Association for Computing Machinery, p. 221-226 6 p. (Proceedings of the 2025 ACM Southeast Conference, ACMSE 2025).Producción científica: Literary contribution
Acceso abierto -
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
Prensa/Medios de comunicación
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UNF honors faculty excellence with 2026 Faculty Awards
Hoppey, D., Simsiriwong, J., Fitzsimmons, C., Ross, J. M., Yu, Z., Tanase, M., Balasubramanian, C. L. K., Waddell, D. S., Ciesielski, S., Shamet, R. M., Liu, X., Brown, S., Mancia, A. & Pascale, A.
5/15/26 → 5/16/26
2 elementos de Cobertura del medio de comunicación
Prensa/medios de comunicación: Research
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Findings on Information Technology Detailed by Investigators at Beihang University (Malaf : Malware Attack Foretelling From Run-time Behavior Graph Sequence)
8/16/24
1 elemento de Cobertura del medio de comunicación
Prensa/medios de comunicación: Research
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Findings on Technology Reported by Investigators at Beihang University (Img: Deep Representation Graph Learning for Anomaly Detection In Industrial Control System)
8/8/24
1 elemento de Cobertura del medio de comunicación
Prensa/medios de comunicación: Research
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UNF MedNexus announces Research Innovation Fund winners
Cesar, G., Merten, J., Kanewala, U., Liu, X. & Ciesielski, S.
5/20/24
1 elemento de Cobertura del medio de comunicación
Prensa/medios de comunicación: Research
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New Data Extraction Findings Reported from Beihang University (Learning Implicit and Explicit Multi-task Interactions for Information Extraction)
4/8/24
1 elemento de Cobertura del medio de comunicación
Prensa/medios de comunicación: Research