Aggregating Conditionally Lexicographic Preferences Using Answer Set Programming Solvers. - Xudong Liu 003; Miroslaw Truszczynski (ADT, 2013)

Roles and Teams Hedonic Game. - Matthew Spradling; Judy Goldsmith; Xudong Liu 003; Chandrima Dadi; Zhiyu Li (ADT, 2013)

Preference Trees: A Language for Representing and Reasoning about Qualitative Preferences. - Xudong Liu 003; Miroslaw Truszczynski (MPREF@AAAI, 2014)

Learning Partial Lexicographic Preference Trees over Combinatorial Domains. - Xudong Liu 003; Miroslaw Truszczynski (AAAI, 2015)

Modeling, Learning and Reasoning with Qualitative Preferences. - Xudong Liu 003 (ADT, 2015)

Reasoning with Preference Trees over Combinatorial Domains. - Xudong Liu 003; Miroslaw Truszczynski (ADT, 2015)

Learning Partial Lexicographic Preference Trees and Forests over Multi-Valued Attributes. - Xudong Liu 003; Mirek Truszczynski (GCAI, 2016)

Preference Learning and Optimization for Partial Lexicographic Preference Forests over Combinatorial Domains. - Xudong Liu 003; Miroslaw Truszczynski (FoIKS, 2018)

New Complexity Results on Aggregating Lexicographic Preference Trees Using Positional Scoring Rules. - Xudong Liu 003; Miroslaw Truszczynski (ADT, 2019)

Voting-based ensemble learning for partial lexicographic preference forests over combinatorial domains. - Xudong Liu 003; Miroslaw Truszczynski (Ann. Math. Artif. Intell., 2019)

Probabilistic Lexicographic Preference Trees. - Xudong Liu 003; Miroslaw Truszczynski (ADT, 2021)

Vegetation Coverage in Marsh Grass Photography Using Convolutional Neural Networks. - Lucas Welch; Xudong Liu 003; Indika Kahanda; Sandeep Reddivari; Karthikeyan Umapathy (FLAIRS, 2021)

On Learning Probabilistic Partial Lexicographic Preference Trees. - Xudong Liu 003 (ICMLA, 2021)

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 003; Indika Kahanda; Sherif Elfayoumy; William Klostermeyer; Mutlu Demirer (BIBM, 2022)

Recycling Material Classification using Convolutional Neural Networks. - Kaihua Liu; Xudong Liu 003 (ICMLA, 2022)

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 003; Indika Kahanda; Sherif Elfayoumy; William Klostermeyer; Mutlu Demirer (BCB, 2023)

Poster: BioFactCheck: Exploring the Feasibility of Explainable Automated Inconsistency Detection in Biomedical and Health Literature. - Prajwol Lamichhane; Indika Kahanda; Xudong Liu 003; Karthikeyan Umapathy; Sandeep Reddivari; Catherine Christie; Andrea Arikawa; Jenifer Ross (CHASE, 2023)

Heart Murmur Classification in Phonocardiogram Representations Using Convolutional Neural Networks. - Mehlam Shabbir; Xudong Liu 003; Mona Nasseri; Scott Helgeson (FLAIRS, 2023)

Comparative Study Between Vision Transformer and EfficientNet on Marsh Grass Classification. - Conrad Testagrose; Mehlam Shabbir; Braden Weaver; Xudong Liu 003 (FLAIRS, 2023)

Aircraft Engine Remaining Useful Life Prediction Using Machine Learning. - Michael Kimollo; Xudong Liu 003 (FLAIRS, 2024)

Pulmonary Disease Classification on Electrocardiograms Using Machine Learning. - Aboubacar Abdoulaye Soumana; Prajwol Lamichhane; Mehlam Shabbir; Xudong Liu 003; Mona Nasseri; Scott Helgeson (FLAIRS, 2024)

Aircraft Engine Remaining Useful Life (RUL) Prediction Using Machine Learning. - Michael Kimollo; Xudong Liu 003 (ICMLA, 2024)

Predicting Particulate Matter Values in Metropolitan Areas Using Machine Learning. - Andrés Leiva-Araos; Tushya Vemuri; David Mena; Xudong Liu 003 (ICMLA, 2024)

Media Haze Classification in Retinal Images Using Transfer Learning with Convolutional Neural Networks. - Jonathan O'Berry; Xudong Liu 003 (ICMLA, 2024)

Obstructive Lung Disease Classification from Electrocardiograms Using Machine Learning. - Aboubacar Abdoulaye Soumana; Prajwol Lamichhane; Mehlam Shabbir; Xudong Liu 003; Mona Nasseri; Scott Helgeson (ACM Southeast Regional Conference, 2025)