I am interested in the intersection of machine learning, information theory, wireless communications, and signal processing including but not limited to Domain Generalization/Adaptation, Contrastive Learning, Quantization Maximizing Mutual Information, Minimizing Impurity Partition, Channel Capacity, Coding and Decoding in FSO, and Signal Processing for Brainwave Signals (EEG, fNIRS).
Below are my publications according to these topics. 
(*: co-first author)

Machine Learning:

Domain Generalization

  1. Thuan Nguyen, Matthias Scheutz, and Shuchin Aeron. On the failure of invariant risk minimization and an effective fix via classification error control. In International Workshop on Machine Learning for Signal Processing, MLSP 2023. PDF.

  1. Boyang Lyu*, Thuan Nguyen*, Matthias Scheutz, Prakash Ishwar, Shuchin Aeron. A principled approach for model validation for domain generalization. In International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2023. PDF.

  1. Boyang Lyu, Thuan Nguyen, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron. Barycentric-alignment and reconstruction loss minimization for domain generalization. In IEEE Access, 2023. PDF.

  1. Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron. Conditional entropy minimization principle for learning domain invariant representation features. In International Conference on Pattern Recognition, ICPR 2022. PDF.

  1. Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron. Joint covariate-alignment and concept-alignment: a framework for out-of-distribution generalization. In International Workshop on Machine Learning for Signal Processing, MLSP 2022. PDF.

  1. Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron. Trade-off between reconstruction loss and feature alignment for domain generalization. In International Conference on Machine Learning and Applications, ICMLA 2022. PDF.

Contrastive Learning

  1. Ruijie Jiang*, Thuan Nguyen*, Prakash Ishwar, and Shuchin Aeron. On neural and dimensional collapse in supervised and unsupervised contrastive learning with hard negative sampling. In International Conference on Artificial Intelligence and Statistics, AISTATS 2024. Under review. PDF.

Information theory:

Quantization maximizing mutual information

  1. An Vuong, Thuan Nguyen, Thinh Nguyen. Capacity achieving quantizer design for multiple input-multiple output thresholding channels. In Vehicular Technology Conference, VTC-Spring 2023. PDF.

  1. Thuan Nguyen and Thinh Nguyen. Structure of optimal quantizer maximizing mutual information for continuous-output channels under quantized-output constraints. In IEEE Transactions on Communications, 2021. PDF.

  1. Thuan Nguyen and Thinh Nguyen. Optimal threshold maximizing mutual information of multiple input one-bit output quantization. In International Symposium on Information Theory, ISIT 2021. PDF.

  1. Thuan Nguyen and Thinh Nguyen. On binary quantizer for maximizing mutual information. In IEEE Transactions on Communications, 2020. PDF.

  1. Thuan Nguyen and Thinh Nguyen. Capacity achieving quantizer design for binary channels. In IEEE Communications Letters, 2020. PDF.

  1. Thuan Nguyen and Thinh Nguyen. Structure of optimal quantizer for binary-input continuous-output channels with output constraints. In International Symposium on Information Theory, ISIT 2020. PDF.

  1. Thuan Nguyen and Thinh Nguyen. Thresholding quantizer design for mutual information maximization under output constraint. In Vehicular Technology Conference, VTC-Spring 2020. PDF.

  1. Thuan Nguyen and Thinh Nguyen. On thresholding quantizer design for mutual information maximization: optimality structures and algorithms. In Vehicular Technology Conference, VTC-Spring 2020. PDF. 

  1. Thuan Nguyen, Yu-Jung Chu and Thinh Nguyen. A new fast algorithm for finding capacity of discrete memoryless thresholding channels. In International Conference on Computing, Networking and Communications, ICNC 2020. PDF.

  1. Thuan Nguyen, Yu-Jung Chu and Thinh Nguyen. On the capacities of discrete memoryless thresholding channels. In Vehicular Technology Conference, VTC-Fall 2018. PDF. 

Minimizing impurity partition

  1. Thuan Nguyen, Hoang Le and Thinh Nguyen. Constant approximation algorithm for minimizing concave impurity. In International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021. PDF. 

  1. Thuan Nguyen and Thinh Nguyen. Minimizing weighted concave impurity partition under constraints. In International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021. PDF.

  1. Thuan Nguyen and Thinh Nguyen. A linear time partitioning algorithm for frequency-weighted impurity functions. In International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020. PDF.

  1. Thuan Nguyen and Thinh Nguyen. Communication-channel optimized impurity partition. In Global Communications Conference, GLOBECOM 2020. PDF.

  1. Thuan Nguyen, Hoang Le and Thinh Nguyen.  Bounded guaranteed linear time algorithm for concave impurity minimization via maximum likelihood. In IEEE Journal of Selected Topics in Signal Processing. Under review. PDF.

Wireless Communication:

Bound and Closed-form Expression for Channel Capacity of Discrete Memoryless Channels

  1. Thuan Nguyen and Thinh Nguyen. On closed-form capacities of discrete memoryless channels. In Vehicular Technology Conference, VTC-Fall 2018. PDF.

  1. Thuan Nguyen and Thinh Nguyen. On bounds and closed-form expressions for capacities of discrete memoryless channels with invertible positive matrices. In IEEE Transactions on Vehicular Technology, 2020. PDF.

Coding and Decoding in Free-Space Optical Communications


  1. Thuan Nguyen, Duong Nguyen-Huu and Thinh Nguyen. Achievable zero-error rate regions using novel location-assisted coding (LAC) for short-range FSO communications. In IEEE/KICS Journal of Communications and Networks, 2021. PDF.

  1. Thuan Nguyen and Thinh Nguyen. Embedded coding techniques for FSO communication. In Vehicular Technology Conference, VTC-Fall 2017. PDF.

  1. Thuan Nguyen, Duong Nguyen and Thinh Nguyen. On achievable rate region using location-assisted coding (LAC) for FSO communication. In Vehicular Technology Conference, VTC-Fall 2017. PDF.

Signal Processing

Processing and Learning from Brainwave Signals (EEG, fNIRS)

  1. Ayca Aygun, Boyang Lyu, Thuan Nguyen, Zachary Haga, Shuchin Aeron, Matthias Scheutz. Assessment of individual cognitive workload via multiple physiological signal modalities in simulated driving. In International Conference on Multimodal Interaction, ICMI 2022. PDF.

  1. Ayca Aygun, Thuan Nguyen, Zachary Haga, Shuchin Aeron, and Matthias Scheutz. Investigating methods for cognitive workload estimation for assistive robots. In MDPI Sensors journal, 2022. PDF.

  1. Matthias Scheutz, Shuchin Aeron, Ayca Aygun, JP de Ruiter, Sergio Fantini, Cristianne Fernandez, Zachary Haga, Thuan Nguyen, Boyang Lyu. Estimating Systemic Cognitive States from a Mixture of Physiological and Brain Signals. In Topics in Cognitive Science, 2023. PDF.

  1. Ayca Aygun, Thuan Nguyen, Matthias Scheutz. Assessment of Multiple Systemic Human Cognitive States using Pupillometry. Proceedings of the Annual Meeting of the Cognitive Science Society 2024. PDF.