Xudong Liu

According to our database, Xudong Liu authored at least 25 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Obstructive Lung Disease Classification from Electrocardiograms Using Machine Learning.

Aboubacar Abdoulaye Soumana, Prajwol Lamichhane, Mehlam Shabbir, Xudong Liu, Mona Nasseri, Scott Helgeson

Proceedings of the 2025 ACM Southeast Conference, 2025

2024

Media Haze Classification in Retinal Images Using Transfer Learning with Convolutional Neural Networks.

Jonathan O'Berry, Xudong Liu

Proceedings of the International Conference on Machine Learning and Applications, 2024

Predicting Particulate Matter Values in Metropolitan Areas Using Machine Learning.

Andrés Leiva-Araos, Tushya Vemuri, David Mena, Xudong Liu

Proceedings of the International Conference on Machine Learning and Applications, 2024

Aircraft Engine Remaining Useful Life (RUL) Prediction Using Machine Learning.

Michael Kimollo, Xudong Liu

Proceedings of the International Conference on Machine Learning and Applications, 2024

Pulmonary Disease Classification on Electrocardiograms Using Machine Learning.

Aboubacar Abdoulaye Soumana, Prajwol Lamichhane, Mehlam Shabbir, Xudong Liu, Mona Nasseri, Scott Helgeson

Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

Aircraft Engine Remaining Useful Life Prediction Using Machine Learning.

Michael Kimollo, Xudong Liu

Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

2023

Comparative Study Between Vision Transformer and EfficientNet on Marsh Grass Classification.

Conrad Testagrose, Mehlam Shabbir, Braden Weaver, Xudong Liu

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

Heart Murmur Classification in Phonocardiogram Representations Using Convolutional Neural Networks.

Mehlam Shabbir, Xudong Liu, Mona Nasseri, Scott Helgeson

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

Poster: BioFactCheck: Exploring the Feasibility of Explainable Automated Inconsistency Detection in Biomedical and Health Literature.

Prajwol Lamichhane, Indika Kahanda, Xudong Liu, Karthikeyan Umapathy, Sandeep Reddivari, Catherine Christie, Andrea Arikawa, Jenifer Ross

Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2023

Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3.

Conrad T. Testagrose, Vikash Gupta, Barbaros S. Erdal, Richard D. White, Robert W. Maxwell, Xudong Liu, Indika Kahanda, Sherif Elfayoumy, William Klostermeyer, Mutlu Demirer

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

Recycling Material Classification using Convolutional Neural Networks.

Kaihua Liu, Xudong Liu

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Impact of Concatenation of Digital Craniocaudal Mammography Images on a Deep-Learning Breast-Density Classifier Using Inception-V3 and ViT.

Conrad Testagrose, Vikash Gupta, Barbaros S. Erdal, Richard D. White, Robert W. Maxwell, Xudong Liu, Indika Kahanda, Sherif Elfayoumy, William Klostermeyer, Mutlu Demirer

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

On Learning Probabilistic Partial Lexicographic Preference Trees.

Xudong Liu

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Vegetation Coverage in Marsh Grass Photography Using Convolutional Neural Networks.

Lucas Welch, Xudong Liu, Indika Kahanda, Sandeep Reddivari, Karthikeyan Umapathy

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Probabilistic Lexicographic Preference Trees.

Xudong Liu, Miroslaw Truszczynski

Proceedings of the Algorithmic Decision Theory - 7th International Conference, 2021

2019

Voting-based ensemble learning for partial lexicographic preference forests over combinatorial domains.

Xudong Liu, Miroslaw Truszczynski

Ann. Math. Artif. Intell., 2019

New Complexity Results on Aggregating Lexicographic Preference Trees Using Positional Scoring Rules.

Xudong Liu, Miroslaw Truszczynski

Proceedings of the Algorithmic Decision Theory - 6th International Conference, 2019

2018

Preference Learning and Optimization for Partial Lexicographic Preference Forests over Combinatorial Domains.

Xudong Liu, Miroslaw Truszczynski

Proceedings of the Foundations of Information and Knowledge Systems, 2018

2016

Learning Partial Lexicographic Preference Trees and Forests over Multi-Valued Attributes.

Xudong Liu, Mirek Truszczynski

Proceedings of the GCAI 2016. 2nd Global Conference on Artificial Intelligence, September 19, 2016

2015

Reasoning with Preference Trees over Combinatorial Domains.

Xudong Liu, Miroslaw Truszczynski

Proceedings of the Algorithmic Decision Theory - 4th International Conference, 2015

Modeling, Learning and Reasoning with Qualitative Preferences.

Xudong Liu

Proceedings of the Algorithmic Decision Theory - 4th International Conference, 2015

Learning Partial Lexicographic Preference Trees over Combinatorial Domains.

Xudong Liu, Miroslaw Truszczynski

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Preference Trees: A Language for Representing and Reasoning about Qualitative Preferences.

Xudong Liu, Miroslaw Truszczynski

Proceedings of the Multidisciplinary Workshop on Advances in Preference Handling, 2014

2013

Roles and Teams Hedonic Game.

Matthew Spradling, Judy Goldsmith, Xudong Liu, Chandrima Dadi, Zhiyu Li

Proceedings of the Algorithmic Decision Theory - Third International Conference, 2013

Aggregating Conditionally Lexicographic Preferences Using Answer Set Programming Solvers.

Xudong Liu, Miroslaw Truszczynski

Proceedings of the Algorithmic Decision Theory - Third International Conference, 2013