On the Extension of Schelling's Segregation Model. - Zeyu Liu 002; Xueping Li; Anahita Khojandi; Sanja Lazarova-Molnar (WSC, 2019)

On the k-Strong Roman Domination Problem. - Zeyu Liu 002; Xueping Li; Anahita Khojandi (Discret. Appl. Math., 2020)

Evaluating the Fitness-to-Drive Using Evoked Visual Responses in Alzheimer's Disease. - Ahmad Mitoubsi; Zeyu Liu 002; Danny Banks; Anahita Khojandi; Michael Oliver; Daniel Cox; Roberto Fernandez 003 (EMBC, 2021)

HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study. - Zeyu Liu 002; Anahita Khojandi; Akram Mohammed; Xueping Li; Lokesh K. Chinthala; Robert L. Davis; Rishikesan Kamaleswaran (Comput. Biol. Medicine, 2021)

A scheduling decision support model for minimizing the number of drones with dynamic package arrivals and personalized deadlines. - Chuang Liu; Huaping Chen 001; Xueping Li; Zeyu Liu 002 (Expert Syst. Appl., 2021)

A Simulation-Heuristic Approach to Optimally Design Drone Delivery Systems in Rural Areas. - Xudong Wang; Kimon Swanson; Zeyu Liu 002; Gerald Jones; Xueping Li (WSC, 2022)

Q-learning and traditional methods on solving the pocket Rubik's cube. - Zefeng Lyu; Zeyu Liu 002; Anahita Khojandi; Andrew Junfang Yu (Comput. Ind. Eng., 2022)

A Machine Learning-Enabled Partially Observable Markov Decision Process Framework for Early Sepsis Prediction. - Zeyu Liu 002; Anahita Khojandi; Xueping Li; Akram Mohammed; Robert L. Davis; Rishikesan Kamaleswaran (INFORMS J. Comput., 2022)

Optimal delivery route planning for a fleet of heterogeneous drones: A rescheduling-based genetic algorithm approach. - Xudong Wang; Zeyu Liu 002; Xueping Li (Comput. Ind. Eng., 2023)