Thuan Nguyen

Orcid: 0000-0003-3064-7609

Affiliations:
  • East Tennessee State University, Department of Engineering, Engineering Technology, and Surveying, TN, USA
  • Tufts University, Boston, MA, USA
  • Oregon State University, School of Electrical Engineering and Computer Science, OR, USA (PhD 2021)


According to our database1, Thuan Nguyen authored at least 44 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2026
Bounded guaranteed algorithms for concave impurity minimization via maximum likelihood.
Signal Process., 2026

2025
Universal Rate-Distortion-Classification Representations for Lossy Compression.
CoRR, April, 2025

Hard-Negative Sampling for Contrastive Learning: Optimal Representation Geometry and Neural- vs Dimensional-Collapse.
Trans. Mach. Learn. Res., 2025

2024
Estimating Systemic Cognitive States from a Mixture of Physiological and Brain Signals.
Top. Cogn. Sci., July, 2024

On Minimizing Symbol Error Probability for Antipodal Beamforming in MIMO Gaussian Wiretap Channels.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

On Neural Collapse in Contrastive Learning with Imbalanced Datasets.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Supervised Contrastive Learning with Hard Negative Samples.
Proceedings of the International Joint Conference on Neural Networks, 2024

On Contrastive Learning for Domain Generalization.
Proceedings of the International Conference on Machine Learning and Applications, 2024

2023
On neural and dimensional collapse in supervised and unsupervised contrastive learning with hard negative sampling.
CoRR, 2023

Barycentric-Alignment and Reconstruction Loss Minimization for Domain Generalization.
IEEE Access, 2023

Capacity achieving quantizer design for multiple-input multiple-output thresholding channels.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

On The Failure of Invariant Risk Minimization and an Effective fix via Classification Error Control.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

A Principled Approach to Model Validation in Domain Generalization.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Investigating Methods for Cognitive Workload Estimation for Assistive Robots.
Sensors, 2022

Joint Covariate-Alignment and Concept-Alignment: A Framework for Domain Generalization.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Conditional entropy minimization principle for learning domain invariant representation features.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Trade-off between reconstruction loss and feature alignment for domain generalization.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Cognitive Workload Assessment via Eye Gaze and EEG in an Interactive Multi-Modal Driving Task.
Proceedings of the International Conference on Multimodal Interaction, 2022

2021
Optimal Quantizer Structure for Maximizing Mutual Information Under Constraints.
IEEE Trans. Commun., 2021

Achievable zero-error rate regions using novel location assisted coding (LAC) for short range FSO communications.
J. Commun. Networks, 2021

Capacity Achieving Quantizer Design for Binary Channels.
IEEE Commun. Lett., 2021

Barycenteric distribution alignment and manifold-restricted invertibility for domain generalization.
CoRR, 2021

Optimal Thresholding Quantizer Maximizing Mutual Information of Discrete Multiple-Input Continuous One-Bit Output Quantization.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Minimizing Weighted Concave Impurity Partition Under Constraints.
Proceedings of the IEEE International Conference on Acoustics, 2021

Constant Approximation Algorithm for Minimizing Concave Impurity.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
On Bounds and Closed-Form Expressions for Capacities of Discrete Memoryless Channels With Invertible Positive Matrices.
IEEE Trans. Veh. Technol., 2020

On Binary Quantizer For Maximizing Mutual Information.
IEEE Trans. Commun., 2020

Optimal quantizer structure for binary discrete input continuous output channels under an arbitrary quantized-output constraint.
CoRR, 2020

Single-bit Quantization Capacity of Binary-input Continuous-output Channels.
CoRR, 2020

On the Uniqueness of Binary Quantizers for Maximizing Mutual Information.
CoRR, 2020

Entropy-Constrained Maximizing Mutual Information Quantization.
CoRR, 2020

Communication-Channel Optimized Partition.
CoRR, 2020

On Thresholding Quantizer Design for Mutual Information Maximization: Optimal Structures and Algorithms.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Thresholding Quantizer Design for Mutual Information Maximization Under Output Constraint.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Structure of Optimal Quantizer for Binary-Input Continuous-Output Channels with Output Constraints.
Proceedings of the IEEE International Symposium on Information Theory, 2020

A New Fast Algorithm for Finding Capacity of Discrete Memoryless Thresholding Channels.
Proceedings of the International Conference on Computing, Networking and Communications, 2020

A Linear Time Partitioning Algorithm for Frequency Weighted Impurity Functions.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Communication-Channel Optimized Impurity Partition.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Minimizing Impurity Partition Under Constraints.
CoRR, 2019

2018
On Closed Form Capacities of Discrete Memoryless Channels.
Proceedings of the 87th IEEE Vehicular Technology Conference, 2018

On the Capacities of Discrete Memoryless Thresholding Channels.
Proceedings of the 87th IEEE Vehicular Technology Conference, 2018

2017
Achievable Rate Regions Using Novel Location Assisted Coding (LAC).
CoRR, 2017

On Achievable Rate Region Using Location Assisted Coding (LAC) for FSO Communication.
Proceedings of the 86th IEEE Vehicular Technology Conference, 2017

Embedded Coding Techniques for FSO Communication.
Proceedings of the 86th IEEE Vehicular Technology Conference, 2017


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