Bac Nguyen

Orcid: 0000-0001-9193-1908

According to our database1, Bac Nguyen authored at least 19 papers between 2016 and 2024.

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

Timeline

Legend:

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Links

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Bibliography

2024
SKILL: Similarity-aware Knowledge distILLation for Speech Self-Supervised Learning.
CoRR, 2024

2023
Towards Robust FastSpeech 2 by Modelling Residual Multimodality.
CoRR, 2023

Improving Self-Supervised Learning for Audio Representations by Feature Diversity and Decorrelation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Autotts: End-to-End Text-to-Speech Synthesis Through Differentiable Duration Modeling.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Neural Predictor for Black-Box Adversarial Attacks on Speech Recognition.
CoRR, 2022

NVC-Net: End-To-End Adversarial Voice Conversion.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
A Simple Approach for Zero-Shot Learning based on Triplet Distribution Embeddings.
CoRR, 2021

Otolith identification using a deep hierarchical classification model.
Comput. Electron. Agric., 2021

2020
Scalable Large-Margin Distance Metric Learning Using Stochastic Gradient Descent.
IEEE Trans. Cybern., 2020

Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling.
Neurocomputing, 2020

2019
Kernel-Based Distance Metric Learning for Supervised k-Means Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2019

Kernel Distance Metric Learning Using Pairwise Constraints for Person Re-Identification.
IEEE Trans. Image Process., 2019

An efficient method for clustered multi-metric learning.
Inf. Sci., 2019

2018
An approach to supervised distance metric learning based on difference of convex functions programming.
Pattern Recognit., 2018

Distance metric learning for ordinal classification based on triplet constraints.
Knowl. Based Syst., 2018

2017
Distance metric learning with the Universum.
Pattern Recognit. Lett., 2017

Supervised distance metric learning through maximization of the Jeffrey divergence.
Pattern Recognit., 2017

Distance metric learning: a two-phase approach.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
Large-scale distance metric learning for k-nearest neighbors regression.
Neurocomputing, 2016


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