Research output per year
Research output per year
Personal profile
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).
Related documents
Education/Academic qualification
Computer Science, PhD
2010 → 2016
Software Engineering, BEng
2006 → 2010
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
-
SDG 3 Good Health and Well-being -
SDG 6 Clean Water and Sanitation -
SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities -
SDG 13 Climate Action
Fingerprint
Dive into the research topics where Xudong Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Dwell Time Estimation Using Periodic Image Captures and Deep Learning
Butoto, J., Liu, X. & Sando, T., 2026, In: Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS. 39, 1Research output: Contribution to journal › Conference article › peer-review
Open Access -
Multi-Label Heart Disease Classification Using Electrocardiograms and Machine Learning
Kotagiri, A. & Liu, X., 2026, In: Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS. 39, 1Research output: Contribution to journal › Conference article › peer-review
Open Access -
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).Research output: Chapter or Contribution to Book › Conference contribution
Open Access -
Pilot study: Machine learning-assisted identification of phylum-level microbiome signatures across advanced wastewater treatment stages
Liu, X., Ramachandraiah, K., Hitti, G., Zhou, Q. & Limayem, A., Oct 2026, In: Journal of Environmental Chemical Engineering. 14, 5, 124048.Research output: Contribution to journal › Article › peer-review
-
Background parenchymal uptake classification using deep transfer learning on digital mammograms
Liu, X., Scott, C., Banerjee, I., Vachon, C. & Hruska, C., Jun 1 2025, In: Smart Health. 36, 100573.Research output: Contribution to journal › Review article › peer-review
Press/Media
-
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. & Schaffauser, A.
5/15/26 → 5/16/26
2 items of Media coverage
Press/Media: Research
-
Findings on Information Technology Detailed by Investigators at Beihang University (Malaf : Malware Attack Foretelling From Run-time Behavior Graph Sequence)
8/16/24
1 item of Media coverage
Press/Media: Research
-
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 item of Media coverage
Press/Media: Research
-
UNF MedNexus announces Research Innovation Fund winners
Cesar, G., Merten, J., Kanewala, U., Liu, X., Ciesielski, S. & Oshman, C.
5/20/24
1 item of Media coverage
Press/Media: Research
-
New Data Extraction Findings Reported from Beihang University (Learning Implicit and Explicit Multi-task Interactions for Information Extraction)
4/8/24
1 item of Media coverage
Press/Media: Research