Huy Phan

发表

DCASE 2020 CHALLENGE TASK 1B: LOW-COMPLEXITY CNN-BASED FRAMEWORK FOR ACOUSTIC SCENE CLASSIFICATION Technical Report

Ngoc Q. K. Duong, D. Ngo, L. Pham, 2020 .

ATTENTION-BASED CNN WITH GENERALIZED LABEL TREE EMBEDDING FOR AUDIO SCENE CLASSIFICATION

A. Mertins, Huy Phan, P. Koch, 2017 .

Self-Attention Generative Adversarial Network for Speech Enhancement pdf

Ian McLoughlin, Huy Phan, Alfred Mertins, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging pdf

Maarten De Vos, Alfred Mertins, Philipp Koch, 2020, IEEE transactions on pattern analysis and machine intelligence.

Pediatric Automatic Sleep Staging: A Comparative Study of State-of-the-Art Deep Learning Methods

A. Mertins, M. Baumert, Huy Phan, 2021, IEEE Transactions on Biomedical Engineering.

On the Proof of Recursive Vogler Algorithm for Multiple Knife-Edge Diffraction

Huy Phan, Ali Mansour, Arnaud Coatanhay, 2021, IEEE Transactions on Antennas and Propagation.

Speaker count: A new building block for speaker diarization

Ngoc Q. K. Duong, Thanh Thi Hien Duong, Huy Phan, 2021, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Pediatric Automatic Sleep Staging: A comparative study of state-of-the-art deep learning methods pdf

Huy Phan, Alfred Mertins, Mathias Baumert, 2021, IEEE transactions on bio-medical engineering.

Hypernetworks for Sound event Detection: a Proof-of-Concept

Emmanouil Benetos, Huy Phan, Shubhr Singh, 2022, 2022 30th European Signal Processing Conference (EUSIPCO).

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging

Oliver Y. Chén, Maarten De Vos, Fernando Andreotti, 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Exploring superframe co-occurrence for acoustic event recognition

Huy Phan, Alfred Mertins, A. Mertins, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Robust Acoustic Scene Classification using a Multi-Spectrogram Encoder-Decoder Framework pdf

Ian McLoughlin, Huy Phan, Alfred Mertins, 2020, Digit. Signal Process..

Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks

Maarten De Vos, Huy Phan, Oliver Y. Chén, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Multichannel Sleep Stage Classification and Transfer Learning using Convolutional Neural Networks

Maarten De Vos, Huy Phan, Fernando Andreotti, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases

Ian McLoughlin, Huy Phan, Lam Pham, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Identifying neural signatures mediating behavioral symptoms and psychosis onset: High-dimensional whole brain functional mediation analysis

Huy Phan, Oliver Y. Chén, John Prince, 2020, NeuroImage.

CNN-MoE Based Framework for Classification of Respiratory Anomalies and Lung Disease Detection

Ian McLoughlin, Huy Phan, Alfred Mertins, 2020, IEEE Journal of Biomedical and Health Informatics.

Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks pdf

Huy Phan, Lars Hertel, Marco Maaß, 2016, INTERSPEECH.

Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification

Oliver Y. Chén, Maarten De Vos, Fernando Andreotti, 2018, IEEE Transactions on Biomedical Engineering.

XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging

Maarten De Vos, Huy Phan, Alfred Mertins, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Polyphonic audio event detection: multi-label or multi-class multi-task classification problem?

A. Mertins, Huy Phan, P. Koch, 2022, ArXiv.

Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning

Maarten De Vos, Huy Phan, Alfred Mertins, 2019, IEEE Transactions on Biomedical Engineering.

Personalized automatic sleep staging with single-night data: a pilot study with Kullback–Leibler divergence regularization

Maarten De Vos, Alfred Mertins, Philipp Koch, 2020, Physiological measurement.

Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch

Maarten De Vos, Huy Phan, Alfred Mertins, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging

Maarten De Vos, Alfred Mertins, Philipp Koch, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Inception-Based Network and Multi-Spectrogram Ensemble Applied To Predict Respiratory Anomalies and Lung Diseases pdf

Ian McLoughlin, Huy Phan, Alfred Mertins, 2020, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Comparing time and frequency domain for audio event recognition using deep learning

Huy Phan, Lars Hertel, Alfred Mertins, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Deep Feature Embedding and Hierarchical Classification for Audio Scene Classification

Ian McLoughlin, Huy Phan, Alfred Mertins, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A Robust Framework for Acoustic Scene Classification

Ian McLoughlin, Lam Pham, Huy Phan, 2019, INTERSPEECH.

Spatio-Temporal Attention Pooling for Audio Scene Classification pdf

Maarten De Vos, Huy Phan, Alfred Mertins, 2019, INTERSPEECH.

Optimized Compression of MPI System Matrices Using a Symmetry-Preserving Secondary Orthogonal Transform

Huy Phan, Alfred Mertins, Thorsten M. Buzug, 2016 .

MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification

Cuntai Guan, Nat Dilokthanakul, Huy Phan, 2021, IEEE Transactions on Biomedical Engineering.

Improved Audio Scene Classification Based on Label-Tree Embeddings and Convolutional Neural Networks

Huy Phan, Lars Hertel, Marco Maaß, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

What makes audio event detection harder than classification?

Ian McLoughlin, Huy Phan, Alfred Mertins, 2016, 2017 25th European Signal Processing Conference (EUSIPCO).

Light-weight sleep monitoring: electrode distance matters more than placement for automatic scoring

Kaare B. Mikkelsen, M. L. Rank, P. Kidmose, 2021, 2104.04567.

CaR-FOREST: Joint Classification-Regression Decision Forests for Overlapping Audio Event Detection pdf

Huy Phan, Lars Hertel, Marco Maaß, 2016, ArXiv.

Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones

Huy Phan, Michael Lindemann, John Prince, 2020, IEEE Transactions on Biomedical Engineering.

Adapting Language-Audio Models as Few-Shot Audio Learners

Emmanouil Benetos, Wenwu Wang, Huy Phan, 2023, INTERSPEECH 2023.

Audio Scene Classification with Deep Recurrent Neural Networks

Huy Phan, Marco Maaß, Radoslaw Mazur, 2017, INTERSPEECH.

A Trajectory Study for Obtaining MPI System Matrices in a Compressed-Sensing Framework

Huy Phan, Alfred Mertins, Thorsten M. Buzug, 2017 .

Learning from Taxonomy: Multi-label Few-Shot Classification for Everyday Sound Recognition

Emmanouil Benetos, Huy Phan, Jinhua Liang, 2022, ArXiv.

Automatic Sleep Staging: Recent Development, Challenges, and Future Directions pdf

Huy Phan, Kaare B. Mikkelsen, Kaare Mikkelsen, 2021, ArXiv.

Random Regression Forests for Acoustic Event Detection and Classification

Huy Phan, Marco Maaß, Radoslaw Mazur, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

CNN-LTE: A class of 1-X pooling convolutional neural networks on label tree embeddings for audio scene classification

Huy Phan, Lars Hertel, Marco Maaß, 2016, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Label Tree Embeddings for Acoustic Scene Classification

Huy Phan, Lars Hertel, Marco Maaß, 2016, ACM Multimedia.

Learning Representations for Nonspeech Audio Events Through Their Similarities to Speech Patterns

Huy Phan, Lars Hertel, Marco Maaß, 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Learning compact structural representations for audio events using regressor banks

Huy Phan, Lars Hertel, Marco Maaß, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Audio phrases for audio event recognition

Huy Phan, Lars Hertel, Marco Maaß, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

A multi-channel fusion framework for audio event detection

Huy Phan, Lars Hertel, Marco Maaß, 2015, 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Early event detection in audio streams

Huy Phan, Marco Maaß, Radoslaw Mazur, 2015, 2015 IEEE International Conference on Multimedia and Expo (ICME).

Kent Academic Repository

I. Mcloughlin, A. Mertins, Huy Phan, 2022 .

Recurrent Neural Networks with Weighting Loss for Early prediction of Hand Movements

Huy Phan, Marco Maaß, Radoslaw Mazur, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

CNN-LTE: a Class of 1-X Pooling Convolutional Neural Networks on Label Tree Embeddings for Audio Scene Recognition

Huy Phan, Lars Hertel, Alfred Mertins, 2016 .

Weighted and Multi-Task Loss for Rare Audio Event Detection

Huy Phan, Alfred Mertins, Timo Gerkmann, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Enabling Early Audio Event Detection with Neural Networks

Huy Phan, Alfred Mertins, Ian Vince McLoughlin, 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

DNN and CNN with Weighted and Multi-task Loss Functions for Audio Event Detection pdf

Huy Phan, Alfred Mertins, Timo Gerkmann, 2017, ArXiv.

EARLY AUDIO EVENT DETECTION WITH NEURAL NETWORKS

I. Mcloughlin, A. Mertins, Huy Phan, 2018 .

Representing nonspeech audio signals through speech classification models

Huy Phan, Lars Hertel, Marco Maaß, 2015, INTERSPEECH.

DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification

Maarten De Vos, Huy Phan, Oliver Y. Chén, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global Pooling pdf

Huy Phan, Lars Hertel, Alfred Mertins, 2016, ArXiv.

Leveraging Label Hierachies for Few-Shot Everyday Sound Recognition

Emmanouil Benetos, Huy Phan, Jinhua Liang, 2022, Workshop on Detection and Classification of Acoustic Scenes and Events.

AUDIO EVENT DETECTION AND LOCALIZATION WITH MULTITASK REGRESSION NETWORK Technical Report

Ngoc Q. K. Duong, I. Mcloughlin, A. Mertins, 2020 .

Pediatric Automatic Sleep Staging: Deep Learning Ensemble Improves Accuracy and Reduces Predictive Uncertainty

Huy Phan, Alfred Mertins, Mathias Baumert, 2022 .

A Recurrent Neural Network for Hand Gesture Recognition based on Accelerometer Data

Alfred Mertins, Philipp Koch, Huy Phan, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Recurrent Neural Network Based Early Prediction of Future Hand Movements

Huy Phan, Marco Maaß, Alfred Mertins, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Metric learning for automatic sleep stage classification

Huy Phan, Quan T. Do, Duc-Lung Vu, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Multi-View Audio And Music Classification

Ian McLoughlin, Huy Phan, Alfred Mertins, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multichannel Sleep Stage Classification and Transfer Learning using Convolutional Neural Networks

M. Vos, M. Hu, Christine Lo, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Fine-tuned RoBERTa Model with a CNN-LSTM Network for Conversational Emotion Recognition

Huy Phan, Jiacheng Luo, Joshua D. Reiss, 2023, INTERSPEECH 2023.

Deep Learning of Segment-level Feature Representation for Speech Emotion Recognition in Conversations

J. Reiss, Huy Phan, Jiacheng Luo, 2023, ArXiv.

On Multitask Loss Function for Audio Event Detection and Localization pdf

Ian McLoughlin, Huy Phan, Alfred Mertins, 2020, DCASE.

DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification

M. Vos, Huy Phan, Navin Cooray, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging

A. Mertins, M. Vos, Huy Phan, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A General Network Architecture for Sound Event Localization and Detection Using Transfer Learning and Recurrent Neural Network

Douglas L. Jones, Huy Phan, Lam Pham, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).