A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms. - Hung The Nguyen 001; Tung D. Nguyen; Matthew Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti; Michael Barlow 001; Hussein A. Abbass (ICONIP (1), 2019)

Towards Interpretable Deep Neural Networks: An Exact Transformation to Multi-Class Multivariate Decision Trees. - Tung D. Nguyen; Kathryn E. Kasmarik; Hussein A. Abbass (CoRR, 2020)

Q-Learning with Differential Entropy of Q-Tables. - Tung D. Nguyen; Kathryn E. Kasmarik; Hussein A. Abbass (CoRR, 2020)

Canonical Tensor Scaling. - Tung D. Nguyen; Jeffrey Uhlmann (CoRR, 2020)

Temporal Predictive Coding For Model-Based Planning In Latent Space. - Tung D. Nguyen; Rui Shu; Tuan Pham; Hung Bui; Stefano Ermon (ICML, 2021)

A Unit-Consistent Tensor Completion with Applications in Recommender Systems. - Tung D. Nguyen; Jeffrey Uhlmann (CoRR, 2022)

A Simple and Scalable Tensor Completion Algorithm via Latent Invariant Constraint for Recommendation System. - Tung D. Nguyen; Sang T. Truong; Jeffrey Uhlmann (CoRR, 2022)

Deep Learning Generates Synthetic Cancer Histology for Explainability and Education. - James M. Dolezal; Rachelle Wolk; Hanna M. Hieromnimon; Frederick M. Howard; Andrew Srisuwananukorn; Dmitry Karpeyev; Siddhi Ramesh; Sara Kochanny; Jung Woo Kwon; Meghana Agni; Richard C. Simon; Chandni Desai; et al. (CoRR, 2022)

Prevalence of deficiency-zero reaction networks in an Erdös-Rényi framework. - David F. Anderson; Tung D. Nguyen (J. Appl. Probab., 2022)

Imposing Consistency Properties on Blackbox Systems with Applications to SVD-Based Recommender Systems. - Tung D. Nguyen; Jeffrey Uhlmann (CoRR, 2023)

An Admissible Shift-Consistent Method for Recommender Systems. - Tung D. Nguyen; Jeffrey Uhlmann (CoRR, 2023)

Predicting opioid use disorder before and after the opioid prescribing peak in the United States: A machine learning tool using electronic healthcare records. - Tyler J. Banks; Tung D. Nguyen; Jeffrey K. Uhlmann; Satish S. Nair; Jeffrey F. Scherrer (Health Informatics J., 2023)

Tensor Completion with Provable Consistency and Fairness Guarantees for Recommender Systems. - Tung D. Nguyen; Jeffrey Uhlmann (Trans. Recomm. Syst., 2023)

Prevalence of Multistationarity and Absolute Concentration Robustness in Reaction Networks. - Badal Joshi; Nidhi Kaihnsa; Tung D. Nguyen; Anne Shiu (SIAM J. Appl. Math., 2023)

Maximizing Metapopulation Growth Rate and Biomass in Stream Networks. - Tung D. Nguyen; Yixiang Wu; Amy Veprauskas; Tingting Tang; Ying Zhou; Charlotte Beckford; Brian Chau; Xiaoyun Chen; Behzad Djafari Rouhani; Yuerong Wu; Yang Yang; Zhisheng Shuai (SIAM J. Appl. Math., 2023)

Rank-Preference Consistency as the Appropriate Metric for Recommender Systems. - Tung D. Nguyen; Jeffrey Uhlmann (CoRR, 2024)