Embedded Coding Techniques for FSO Communication. - Thuan Nguyen 001; Thinh Nguyen (VTC Fall, 2017)

On Achievable Rate Region Using Location Assisted Coding (LAC) for FSO Communication. - Thuan Nguyen 001; Duong Nguyen-Huu; Thinh Nguyen (VTC Fall, 2017)

Achievable Rate Regions Using Novel Location Assisted Coding (LAC). - Thuan Nguyen 001; Thinh Nguyen (CoRR, 2017)

On the Capacities of Discrete Memoryless Thresholding Channels. - Thuan Nguyen 001; Yu-Jung Chu; Thinh Nguyen (VTC Spring, 2018)

On Closed Form Capacities of Discrete Memoryless Channels. - Thuan Nguyen 001; Thinh Nguyen (VTC Spring, 2018)

Minimizing Impurity Partition Under Constraints. - Thuan Nguyen 001; Thinh Nguyen (CoRR, 2019)

Communication-Channel Optimized Impurity Partition. - Thuan Nguyen 001; Thinh Nguyen (GLOBECOM, 2020)

A Linear Time Partitioning Algorithm for Frequency Weighted Impurity Functions. - Thuan Nguyen 001; Thinh Nguyen (ICASSP, 2020)

A New Fast Algorithm for Finding Capacity of Discrete Memoryless Thresholding Channels. - Thuan Nguyen 001; Yu-Jung Chu; Thinh Nguyen (ICNC, 2020)

Structure of Optimal Quantizer for Binary-Input Continuous-Output Channels with Output Constraints. - Thuan Nguyen 001; Thinh Nguyen (ISIT, 2020)

Thresholding Quantizer Design for Mutual Information Maximization Under Output Constraint. - Thuan Nguyen 001; Thinh Nguyen (VTC Spring, 2020)

On Thresholding Quantizer Design for Mutual Information Maximization: Optimal Structures and Algorithms. - Thuan Nguyen 001; Thinh Nguyen (VTC Spring, 2020)

Communication-Channel Optimized Partition. - Thuan Nguyen 001; Thinh Nguyen (CoRR, 2020)

Entropy-Constrained Maximizing Mutual Information Quantization. - Thuan Nguyen 001; Thinh Nguyen (CoRR, 2020)

On the Uniqueness of Binary Quantizers for Maximizing Mutual Information. - Thuan Nguyen 001; Thinh Nguyen (CoRR, 2020)

Single-bit Quantization Capacity of Binary-input Continuous-output Channels. - Thuan Nguyen 001; Thinh Nguyen (CoRR, 2020)

Optimal quantizer structure for binary discrete input continuous output channels under an arbitrary quantized-output constraint. - Thuan Nguyen 001; Thinh Nguyen (CoRR, 2020)

On Binary Quantizer For Maximizing Mutual Information. - Thuan Nguyen 001; Thinh Nguyen (IEEE Trans. Commun., 2020)

On Bounds and Closed-Form Expressions for Capacities of Discrete Memoryless Channels With Invertible Positive Matrices. - Thuan Nguyen 001; Thinh Nguyen (IEEE Trans. Veh. Technol., 2020)

Constant Approximation Algorithm for Minimizing Concave Impurity. - Thuan Nguyen 001; Hoang Le; Thinh Nguyen (ICASSP, 2021)

Minimizing Weighted Concave Impurity Partition Under Constraints. - Thuan Nguyen 001; Thinh Nguyen (ICASSP, 2021)

Optimal Thresholding Quantizer Maximizing Mutual Information of Discrete Multiple-Input Continuous One-Bit Output Quantization. - Thuan Nguyen 001; Thinh Nguyen (ISIT, 2021)

Barycenteric distribution alignment and manifold-restricted invertibility for domain generalization. - Boyang Lyu; Thuan Nguyen 001; Prakash Ishwar; Matthias Scheutz; Shuchin Aeron (CoRR, 2021)

Capacity Achieving Quantizer Design for Binary Channels. - Thuan Nguyen 001; Thinh Nguyen (IEEE Commun. Lett., 2021)

Achievable zero-error rate regions using novel location assisted coding (LAC) for short range FSO communications. - Thuan Nguyen 001; Duong Nguyen-Huu; Thinh Nguyen (J. Commun. Networks, 2021)

Optimal Quantizer Structure for Maximizing Mutual Information Under Constraints. - Thuan Nguyen 001; Thinh Nguyen (IEEE Trans. Commun., 2021)

Cognitive Workload Assessment via Eye Gaze and EEG in an Interactive Multi-Modal Driving Task. - Ayca Aygun; Boyang Lyu; Thuan Nguyen 001; Zachary Haga; Shuchin Aeron; Matthias Scheutz (ICMI, 2022)

Trade-off between reconstruction loss and feature alignment for domain generalization. - Thuan Nguyen 001; Boyang Lyu; Prakash Ishwar; Matthias Scheutz; Shuchin Aeron (ICMLA, 2022)

Conditional entropy minimization principle for learning domain invariant representation features. - Thuan Nguyen 001; Boyang Lyu; Prakash Ishwar; Matthias Scheutz; Shuchin Aeron (ICPR, 2022)

Joint Covariate-Alignment and Concept-Alignment: A Framework for Domain Generalization. - Thuan Nguyen 001; Boyang Lyu; Prakash Ishwar; Matthias Scheutz; Shuchin Aeron (MLSP, 2022)

Investigating Methods for Cognitive Workload Estimation for Assistive Robots. - Ayca Aygun; Thuan Nguyen 001; Zachary Haga; Shuchin Aeron; Matthias Scheutz (Sensors, 2022)

A Principled Approach to Model Validation in Domain Generalization. - Boyang Lyu; Thuan Nguyen 001; Matthias Scheutz; Prakash Ishwar; Shuchin Aeron (ICASSP, 2023)

On The Failure of Invariant Risk Minimization and an Effective fix via Classification Error Control. - Thuan Nguyen 001; Matthias Scheutz; Shuchin Aeron (MLSP, 2023)

Capacity achieving quantizer design for multiple-input multiple-output thresholding channels. - An Vuong; Thuan Nguyen 001; Thinh Nguyen (VTC2023-Spring, 2023)

Barycentric-Alignment and Reconstruction Loss Minimization for Domain Generalization. - Boyang Lyu; Thuan Nguyen 001; Prakash Ishwar; Matthias Scheutz; Shuchin Aeron (IEEE Access, 2023)

On neural and dimensional collapse in supervised and unsupervised contrastive learning with hard negative sampling. - Ruijie Jiang; Thuan Nguyen 001; Shuchin Aeron; Prakash Ishwar (CoRR, 2023)

On Contrastive Learning for Domain Generalization. - Thuan Nguyen 001; D. Richard Brown (ICMLA, 2024)

Supervised Contrastive Learning with Hard Negative Samples. - Ruijie Jiang; Thuan Nguyen 001; Prakash Ishwar; Shuchin Aeron (IJCNN, 2024)

On Neural Collapse in Contrastive Learning with Imbalanced Datasets. - Thuan Nguyen 001; Ruijie Jiang; Shuchin Aeron; Prakash Ishwar; D. Richard Brown (MLSP, 2024)

On Minimizing Symbol Error Probability for Antipodal Beamforming in MIMO Gaussian Wiretap Channels. - Nam Nguyen; An Vuong; Thuan Nguyen 001; Thinh Nguyen (VTC Fall, 2024)

Estimating Systemic Cognitive States from a Mixture of Physiological and Brain Signals. - Matthias Scheutz; Shuchin Aeron; Ayca Aygun; J. P. de Ruiter; Sergio Fantini; Cristianne Fernandez; Zachary Haga; Thuan Nguyen 001; Boyang Lyu (Top. Cogn. Sci., 2024)

Hard-Negative Sampling for Contrastive Learning: Optimal Representation Geometry and Neural- vs Dimensional-Collapse. - Ruijie Jiang; Thuan Nguyen 001; Shuchin Aeron; Prakash Ishwar (Trans. Mach. Learn. Res., 2025)

Universal Rate-Distortion-Classification Representations for Lossy Compression. - Nam Nguyen; Thuan Nguyen 001; Thinh Nguyen; Bella Bose (CoRR, 2025)

Bounded guaranteed algorithms for concave impurity minimization via maximum likelihood. - Thuan Nguyen 001; Hoang Le; Thinh Nguyen (Signal Process., 2026)