Computationally efficient 3-D statistical reconstruction from digitized radiographs. - Huy Phan; Ken D. Sauer (ICIP (3), 1995)

Metric learning for automatic sleep stage classification. - Huy Phan; Quan Do; The-Luan Do; Duc-Lung Vu (EMBC, 2013)

Exploring superframe co-occurrence for acoustic event recognition. - Huy Phan; Alfred Mertins (EUSIPCO, 2014)

Design of cosine-sine modulated filter banks without DC leakage. - Marco Maaß; Huy Phan; Alfred Mertins (DSP, 2014)

Acoustic event detection and localization with regression forests. - Huy Phan; Marco Maaß; Radoslaw Mazur; Alfred Mertins (INTERSPEECH, 2014)

Cosine-Sine Modulated Filter Banks for Motion Estimation and Correction. - Marco Maaß; Huy Phan; Anita Möller; Alfred Mertins (ACIVS, 2015)

Audio phrases for audio event recognition. - Huy Phan; Lars Hertel; Marco Maaß; Radoslaw Mazur; Alfred Mertins (EUSIPCO, 2015)

A clustering approach for solving the spatial aliasing problem in convolutive blind source separation. - Radoslaw Mazur; Huy Phan; Alfred Mertins (DSP, 2015)

Early event detection in audio streams. - Huy Phan; Marco Maaß; Radoslaw Mazur; Alfred Mertins (ICME, 2015)

Representing nonspeech audio signals through speech classification models. - Huy Phan; Lars Hertel; Marco Maaß; Radoslaw Mazur; Alfred Mertins (INTERSPEECH, 2015)

A multi-channel fusion framework for audio event detection. - Huy Phan; Marco Maaß; Lars Hertel; Radoslaw Mazur; Alfred Mertins (WASPAA, 2015)

Random Regression Forests for Acoustic Event Detection and Classification. - Huy Phan; Marco Maaß; Radoslaw Mazur; Alfred Mertins (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Learning compact structural representations for audio events using regressor banks. - Huy Phan; Marco Maaß; Lars Hertel; Radoslaw Mazur; Ian McLoughlin 001; Alfred Mertins (ICASSP, 2016)

Comparing time and frequency domain for audio event recognition using deep learning. - Lars Hertel; Huy Phan; Alfred Mertins (IJCNN, 2016)

Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks. - Huy Phan; Lars Hertel; Marco Maaß; Alfred Mertins (INTERSPEECH, 2016)

Label Tree Embeddings for Acoustic Scene Classification. - Huy Phan; Lars Hertel; Marco Maaß; Philipp Koch; Alfred Mertins (ACM Multimedia, 2016)

Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global Pooling. - Lars Hertel; Huy Phan; Alfred Mertins (CoRR, 2016)

CNN-LTE: a Class of 1-X Pooling Convolutional Neural Networks on Label Tree Embeddings for Audio Scene Recognition. - Huy Phan; Lars Hertel; Marco Maaß; Philipp Koch; Alfred Mertins (CoRR, 2016)

CaR-FOREST: Joint Classification-Regression Decision Forests for Overlapping Audio Event Detection. - Huy Phan; Lars Hertel; Marco Maaß; Philipp Koch; Alfred Mertins (CoRR, 2016)

What Make Audio Event Detection Harder than Classification? - Huy Phan; Philipp Koch; Marco Maaß; Radoslaw Mazur; Ian McLoughlin 001; Alfred Mertins (CoRR, 2016)

Learning Representations for Nonspeech Audio Events Through Their Similarities to Speech Patterns. - Huy Phan; Lars Hertel; Marco Maaß; Radoslaw Mazur; Alfred Mertins (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Early prediction of future hand movements using sEMG data. - Philipp Koch; Huy Phan; Marco Maaß; Fabrice Katzberg; Alfred Mertins (EMBC, 2017)

What makes audio event detection harder than classification? - Huy Phan; Philipp Koch; Fabrice Katzberg; Marco Maaß; Radoslaw Mazur; Ian McLoughlin 001; Alfred Mertins (EUSIPCO, 2017)

Room equalization based on measurements with moving microphones. - Radoslaw Mazur; Fabrice Katzberg; Huy Phan; Alfred Mertins (HSCMA, 2017)

CNN-LTE: A class of 1-X pooling convolutional neural networks on label tree embeddings for audio scene classification. - Huy Phan; Philipp Koch; Lars Hertel; Marco Maaß; Radoslaw Mazur; Alfred Mertins (ICASSP, 2017)

Audio Scene Classification with Deep Recurrent Neural Networks. - Huy Phan; Philipp Koch; Fabrice Katzberg; Marco Maaß; Radoslaw Mazur; Alfred Mertins (INTERSPEECH, 2017)

DNN and CNN with Weighted and Multi-task Loss Functions for Audio Event Detection. - Huy Phan; Martin Krawczyk-Becker; Timo Gerkmann; Alfred Mertins (CoRR, 2017)

Improved Audio Scene Classification Based on Label-Tree Embeddings and Convolutional Neural Networks. - Huy Phan; Lars Hertel; Marco Maaß; Philipp Koch; Radoslaw Mazur; Alfred Mertins (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Multichannel Sleep Stage Classification and Transfer Learning using Convolutional Neural Networks. - Fernando Andreotti; Huy Phan; Navin Cooray; Christine Lo; Michele T. M. Hu; Maarten De Vos (EMBC, 2018)

Recurrent Neural Network Based Early Prediction of Future Hand Movements. - Philipp Koch; Huy Phan; Marco Maaß; Fabrice Katzberg; Alfred Mertins (EMBC, 2018)

DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification. - Huy Phan; Fernando Andreotti; Navin Cooray; Oliver Y. Chén; Maarten De Vos (EMBC, 2018)

Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks. - Huy Phan; Fernando Andreotti; Navin Cooray; Oliver Y. Chén; Maarten De Vos (EMBC, 2018)

Recurrent Neural Networks with Weighting Loss for Early prediction of Hand Movements. - Philipp Koch; Huy Phan; Marco Maaß; Fabrice Katzberg; Radoslaw Mazur; Alfred Mertins (EUSIPCO, 2018)

Weighted and Multi-Task Loss for Rare Audio Event Detection. - Huy Phan; Martin Krawczyk-Becker; Timo Gerkmann; Alfred Mertins (ICASSP, 2018)

Enabling Early Audio Event Detection with Neural Networks. - Huy Phan; Philipp Koch; Ian McLoughlin 001; Alfred Mertins (ICASSP, 2018)

Visualising convolutional neural network decisions in automated sleep scoring. - Fernando Andreotti; Huy Phan; Maarten De Vos (AIH@IJCAI, 2018)

Early Detection of Continuous and Partial Audio Events Using CNN. - Ian McLoughlin 001; Yan Song 001; Lam Dang Pham; Ramaswamy Palaniappan; Huy Phan; Yue Lang (INTERSPEECH, 2018)

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging. - Huy Phan; Fernando Andreotti; Navin Cooray; Oliver Y. Chén; Maarten De Vos (CoRR, 2018)

Beyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene? - Huy Phan; Oliver Y. Chén; Philipp Koch; Lam Dang Pham; Ian McLoughlin 001; Alfred Mertins; Maarten De Vos (CoRR, 2018)

A Recurrent Neural Network for Hand Gesture Recognition based on Accelerometer Data. - Philipp Koch; Mark Dreier; Marco Maaß; Martina Böhme; Huy Phan; Alfred Mertins (EMBC, 2019)

Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging. - Huy Phan; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Maarten De Vos (EMBC, 2019)

Inhomogeneously Stacked RNN for Recognizing Hand Gestures from Magnetometer Data. - Philipp Koch; Mark Dreier; Martina Böhme; Marco Maaß; Huy Phan; Alfred Mertins (EUSIPCO, 2019)

Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch. - Huy Phan; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Maarten De Vos (EUSIPCO, 2019)

Forked Recurrent Neural Network for Hand Gesture Classification Using Inertial Measurement Data. - Philipp Koch; Nele Sophie Brügge; Huy Phan; Marco Maaß; Alfred Mertins (ICASSP, 2019)

Unifying Isolated and Overlapping Audio Event Detection with Multi-label Multi-task Convolutional Recurrent Neural Networks. - Huy Phan; Oliver Y. Chén; Philipp Koch; Lam Dang Pham; Ian McLoughlin 001; Alfred Mertins; Maarten De Vos (ICASSP, 2019)

A Robust Framework for Acoustic Scene Classification. - Lam Dang Pham; Ian McLoughlin 001; Huy Phan; Ramaswamy Palaniappan (INTERSPEECH, 2019)

Spatio-Temporal Attention Pooling for Audio Scene Classification. - Huy Phan; Oliver Y. Chén; Lam Dang Pham; Philipp Koch; Maarten De Vos; Ian McLoughlin 001; Alfred Mertins (INTERSPEECH, 2019)

Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. - Huy Phan; Fernando Andreotti; Navin Cooray; Oliver Y. Chén; Maarten De Vos (IEEE Trans. Biomed. Eng., 2019)

CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator. - Huy Phan; Yi Xie 001; Siyu Liao; Jie Chen 007; Bo Yuan 001 (AAAI, 2020)

On Multitask Loss Function for Audio Event Detection and Localization. - Huy Phan; Lam Pham; Philipp Koch; Ngoc Q. K. Duong; Ian McLoughlin 001; Alfred Mertins (DCASE, 2020)

Regression of Hand Movements from sEMG Data with Recurrent Neural Networks. - Philipp Koch; Mark Dreier; Anna Larsen; Tim J. Parbs; Marco Maaß; Huy Phan; Alfred Mertins (EMBC, 2020)

Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases. - Lam Dang Pham; Ian McLoughlin 001; Huy Phan; Minh Tran; Truc Nguyen; Ramaswamy Palaniappan (EMBC, 2020)

RNN With Stacked Architecture for sEMG based Sequence-to-Sequence Hand Gesture Recognition. - Philipp Koch; Mark Dreier; Marco Maaß; Huy Phan; Alfred Mertins (EUSIPCO, 2020)

Deep Feature Embedding and Hierarchical Classification for Audio Scene Classification. - Lam Dang Pham; Ian McLoughlin 001; Huy Phan; Ramaswamy Palaniappan; Alfred Mertins (IJCNN, 2020)

VVSec: Securing Volumetric Video Streaming via Benign Use of Adversarial Perturbation. - Zhongze Tang; Xianglong Feng; Yi Xie 001; Huy Phan; Tian Guo 001; Bo Yuan 001; Sheng Wei 001 (ACM Multimedia, 2020)

Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization. - Huy Phan; Kaare B. Mikkelsen; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Preben Kidmose; Maarten De Vos (CoRR, 2020)

XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging. - Huy Phan; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Maarten De Vos (CoRR, 2020)

On Multitask Loss Function for Audio Event Detection and Localization. - Huy Phan; Lam Dang Pham; Philipp Koch; Ngoc Q. K. Duong; Ian McLoughlin 001; Alfred Mertins (CoRR, 2020)

Inception-Based Network and Multi-Spectrogram Ensemble Applied For Predicting Respiratory Anomalies and Lung Diseases. - Lam Dang Pham; Huy Phan; Ross King; Alfred Mertins; Ian McLoughlin 001 (CoRR, 2020)

Time-Frequency Feature Fusion for Noise Robust Audio Event Classification. - Ian McLoughlin 001; Zhipeng Xie; Yan Song 001; Huy Phan; Ramaswamy Palaniappan (Circuits Syst. Signal Process., 2020)

Improving GANs for Speech Enhancement. - Huy Phan; Ian Vince McLoughlin; Lam Dang Pham; Oliver Y. Chén; Philipp Koch; Maarten De Vos; Alfred Mertins (IEEE Signal Process. Lett., 2020)

Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones. - Oliver Y. Chén; Florian Lipsmeier; Huy Phan; John Prince; Kirsten I. Taylor; Christian Gossens; Michael Lindemann; Maarten De Vos (IEEE Trans. Biomed. Eng., 2020)

Speaker count: A new building block for speaker diarization. - Thanh Thi Hien Duong; Phi-Le Nguyen; Hong-Son Nguyen; Duc-Chien Nguyen; Huy Phan; Ngoc Q. K. Duong (APSIPA ASC, 2021)

sEMG-Based Hand Movement Regression by Prediction of Joint Angles With Recurrent Neural Networks. - Philipp Koch; Kamran Mohammad-Zadeh; Marco Maaß; Mark Dreier; Ole Thomsen; Tim J. Parbs; Huy Phan; Alfred Mertins (EMBC, 2021)

Inception-Based Network and Multi-Spectrogram Ensemble Applied To Predict Respiratory Anomalies and Lung Diseases. - Lam Pham; Huy Phan; Alexander Schindler; Ross King; Alfred Mertins; Ian McLoughlin 001 (EMBC, 2021)

A General Network Architecture for Sound Event Localization and Detection Using Transfer Learning and Recurrent Neural Network. - Thi Ngoc Tho Nguyen; Ngoc Khanh Nguyen 003; Huy Phan; Lam Pham; Kenneth Ooi; Douglas L. Jones; Woon-Seng Gan (ICASSP, 2021)

Self-Attention Generative Adversarial Network for Speech Enhancement. - Huy Phan; Huy Le Nguyen; Oliver Y. Chén; Philipp Koch; Ngoc Q. K. Duong; Ian McLoughlin 001; Alfred Mertins (ICASSP, 2021)

Multi-View Audio And Music Classification. - Huy Phan; Huy Le Nguyen; Oliver Y. Chén; Lam Dang Pham; Philipp Koch; Ian McLoughlin 001; Alfred Mertins (ICASSP, 2021)

CHIP: CHannel Independence-based Pruning for Compact Neural Networks. - Yang Sui; Miao Yin; Yi Xie 001; Huy Phan; Saman A. Zonouz; Bo Yuan 001 (NeurIPS, 2021)

Neural Synthesis of Footsteps Sound Effects with Generative Adversarial Networks. - Marco Comunità; Huy Phan; Joshua D. Reiss (CoRR, 2021)

Automatic Sleep Staging: Recent Development, Challenges, and Future Directions. - Huy Phan; Kaare B. Mikkelsen (CoRR, 2021)

Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework. - Lam Dang Pham; Huy Phan; Truc Nguyen; Ramaswamy Palaniappan; Alfred Mertins; Ian McLoughlin 001 (Digit. Signal Process., 2021)

Identifying neural signatures mediating behavioral symptoms and psychosis onset: High-dimensional whole brain functional mediation analysis. - Oliver Y. Chén; Hengyi Cao; Huy Phan; Guy Nagels; Jenna M. Reinen; Jiangtao Gou; Tianchen Qian; Junrui Di; John Prince; Tyrone D. Cannon; Maarten De Vos (NeuroImage, 2021)

Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning. - Huy Phan; Oliver Y. Chén; Philipp Koch; Zongqing Lu 002; Ian McLoughlin 001; Alfred Mertins; Maarten De Vos (IEEE Trans. Biomed. Eng., 2021)

MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-Signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning. - Nannapas Banluesombatkul; Pichayoot Ouppaphan; Pitshaporn Leelaarporn; Payongkit Lakhan; Busarakum Chaitusaney; Nattapong Jaimchariyatam; Ekapol Chuangsuwanich; Wei Chen 015; Huy Phan; Nat Dilokthanakul; Theerawit Wilaiprasitporn (IEEE J. Biomed. Health Informatics, 2021)

CNN-MoE Based Framework for Classification of Respiratory Anomalies and Lung Disease Detection. - Lam Pham; Huy Phan; Ramaswamy Palaniappan; Alfred Mertins; Ian McLoughlin 001 (IEEE J. Biomed. Health Informatics, 2021)

BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition. - Miao Yin; Huy Phan; Xiao Zang; Siyu Liao; Bo Yuan 001 (AAAI, 2022)

Data augmentation in semi-supervised adversarial domain adaptation for EEG-based sleep staging. - Elisabeth R. M. Heremans; Trui Osselaer; Nick Seeuws; Huy Phan; Dries Testelmans; Maarten De Vos (BHI, 2022)

Few-Shot Bioacoustic Event Detection: Enhanced Classifiers for Prototypical Networks. - Ren Li; Jinhua Liang; Huy Phan (DCASE, 2022)

Leveraging Label Hierachies for Few-Shot Everyday Sound Recognition. - Jinhua Liang; Huy Phan; Emmanouil Benetos (DCASE, 2022)

RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN. - Huy Phan; Cong Shi 004; Yi Xie 001; Tianfang Zhang; Zhuohang Li; Tianming Zhao 001; Jian Liu 001; Yan Wang 003; Yingying Chen 001; Bo Yuan 001 (ECCV (4), 2022)

Hypernetworks for Sound event Detection: a Proof-of-Concept. - Shubhr Singh; Huy Phan; Emmanouil Benetos (EUSIPCO, 2022)

SALSA-Lite: A Fast and Effective Feature for Polyphonic Sound Event Localization and Detection with Microphone Arrays. - Thi Ngoc Tho Nguyen; Douglas L. Jones; Karn N. Watcharasupat; Huy Phan; Woon-Seng Gan (ICASSP, 2022)

Polyphonic Audio Event Detection: Multi-Label or Multi-Class Multi-Task Classification Problem? - Huy Phan; Thi Ngoc Tho Nguyen; Philipp Koch; Alfred Mertins (ICASSP, 2022)

Invisible and Efficient Backdoor Attacks for Compressed Deep Neural Networks. - Huy Phan; Yi Xie 001; Jian Liu 001; Yingying Chen 001; Bo Yuan 001 (ICASSP, 2022)

Towards Yield Improvement for AI Accelerators: Analysis and Exploration. - Mohammad Walid Charrwi; Huy Phan; Bo Yuan 001; Samah Mohamed Saeed (ISVLSI, 2022)

Visual privacy protection in mobile image recognition using protective perturbation. - Mengmei Ye; Zhongze Tang; Huy Phan; Yi Xie 001; Bo Yuan 001; Sheng Wei 001 (MMSys, 2022)

Audio-domain position-independent backdoor attack via unnoticeable triggers. - Cong Shi 004; Tianfang Zhang; Zhuohang Li; Huy Phan; Tianming Zhao 001; Yan Wang 003; Jian Liu 001; Bo Yuan 001; Yingying Chen 001 (MobiCom, 2022)

Improving trajectory localization accuracy via direction-of-arrival derivative estimation. - Ruchi Pandey; Shreyas Jaiswal; Huy Phan; Santosh Nannuru (CoRR, 2022)

XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging. - Huy Phan; Oliver Y. Chén; Minh C. Tran; Philipp Koch; Alfred Mertins; Maarten De Vos (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification. - Phairot Autthasan; Rattanaphon Chaisaen; Thapanun Sudhawiyangkul; Phurin Rangpong; Suktipol Kiatthaveephong; Nat Dilokthanakul; Gun Bhakdisongkhram; Huy Phan; Cuntai Guan; Theerawit Wilaiprasitporn (IEEE Trans. Biomed. Eng., 2022)

Sleep Monitoring Using Ear-Centered Setups: Investigating the Influence From Electrode Configurations. - Kaare B. Mikkelsen; Huy Phan; Mike Lind Rank; Martin Christian Hemmsen; Maarten De Vos; Preben Kidmose (IEEE Trans. Biomed. Eng., 2022)

Pediatric Automatic Sleep Staging: A Comparative Study of State-of-the-Art Deep Learning Methods. - Huy Phan; Alfred Mertins; Mathias Baumert (IEEE Trans. Biomed. Eng., 2022)

SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification. - Huy Phan; Kaare B. Mikkelsen; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Maarten De Vos (IEEE Trans. Biomed. Eng., 2022)

Feature matching as improved transfer learning technique for wearable EEG. - Elisabeth R. M. Heremans; Huy Phan; Amir Hossein Ansari; Pascal Borzée; Bertien Buyse; Dries Testelmans; Maarten De Vos (Biomed. Signal Process. Control., 2022)

FSD-FS. - Jinhua Liang; Huy Phan; Emmanouil Benetos (Zenodo, 2022)

CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness. - Huy Phan; Miao Yin; Yang Sui; Bo Yuan 001; Saman A. Zonouz (AAAI, 2023)

Mutual Cross-Attention in Dyadic Fusion Networks for Audio-Video Emotion Recognition. - Jiachen Luo; Huy Phan; Lin Wang 009; Joshua D. Reiss (ACIIW, 2023)

A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies. - Dat Ngo; Lam Pham; Huy Phan; Minh Tran; Delaram Jarchi (BioCAS, 2023)

Improving audio event localization accuracy via derivative prediction. - Ruchi Pandey; Shreyas Jaiswal; Huy Phan; Santosh Nannuru (EUSIPCO, 2023)

Modelling Black-Box Audio Effects with Time-Varying Feature Modulation. - Marco Comunità; Christian J. Steinmetz; Huy Phan; Joshua D. Reiss (ICASSP, 2023)

Cross-Modal Fusion Techniques for Utterance-Level Emotion Recognition from Text and Speech. - Jiachen Luo; Huy Phan; Joshua D. Reiss (ICASSP, 2023)

Improving Automatic Sleep Staging Via Temporal Smoothness Regularization. - Huy Phan; Elisabeth R. M. Heremans; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Maarten De Vos (ICASSP, 2023)

Stealthy Backdoor Attack on RF Signal Classification. - Tianming Zhao 001; Zijie Tang; Tianfang Zhang; Huy Phan; Yan Wang 003; Cong Shi 004; Bo Yuan 001; Yingying Chen 001 (ICCCN, 2023)

Exploring Pre-Trained Neural Audio Representations for Audio Topic Segmentation. - Iacopo Ghinassi; Matthew Purver; Huy Phan; Chris Newell (ICME, 2023)

Adapting Language-Audio Models as Few-Shot Audio Learners. - Jinhua Liang; Xubo Liu 001; Haohe Liu; Huy Phan; Emmanouil Benetos; Mark D. Plumbley; Wenwu Wang 001 (INTERSPEECH, 2023)

Fine-tuned RoBERTa Model with a CNN-LSTM Network for Conversational Emotion Recognition. - Jiachen Luo; Huy Phan; Joshua D. Reiss (INTERSPEECH, 2023)

An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies. - Dat Ngo; Lam Pham; Huy Phan; Minh Tran; Delaram Jarchi; Sefki Kolozali (MMSP, 2023)

Security-Preserving Live 3D Video Surveillance. - Zhongze Tang; Huy Phan; Xianglong Feng; Bo Yuan 001; Yao Liu 001; Sheng Wei 001 (MMSys, 2023)

Perceptual Musical Similarity Metric Learning with Graph Neural Networks. - Cyrus Vahidi; Shubhr Singh; Emmanouil Benetos; Huy Phan; Dan Stowell; György Fazekas; Mathieu Lagrange (WASPAA, 2023)

L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging. - Huy Phan; Kristian P. Lorenzen; Elisabeth R. M. Heremans; Oliver Y. Chén; Minh C. Tran; Philipp Koch; Alfred Mertins; Mathias Baumert; Kaare B. Mikkelsen; Maarten De Vos (CoRR, 2023)

deep learning of segment-level feature representation for speech emotion recognition in conversations. - Jiachen Luo; Huy Phan; Joshua D. Reiss (CoRR, 2023)

CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities. - Konstantinos Kontras; Christos Chatzichristos; Huy Phan; Johan A. K. Suykens; Maarten De Vos (CoRR, 2023)

Improving the Robustness of 3D Human Pose Estimation: A Benchmark and Learning from Noisy Input. - Trung-Hieu Hoang; Mona Zehni; Huy Phan; Minh N. Do (CoRR, 2023)

Automatic sleep scoring using patient-specific ensemble models and knowledge distillation for ear-EEG data. - Kenneth Borup; Preben Kidmose; Huy Phan; Kaare B. Mikkelsen (Biomed. Signal Process. Control., 2023)

Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones. - Oliver Y. Chén; Florian Lipsmeier; Huy Phan; Frank Dondelinger; Andrew P. Creagh; Christian Gossens; Michael Lindemann; Maarten De Vos (IEEE J. Biomed. Health Informatics, 2023)

L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging. - Huy Phan; Kristian P. Lorenzen; Elisabeth R. M. Heremans; Oliver Y. Chén; Minh C. Tran; Philipp Koch; Alfred Mertins; Mathias Baumert; Kaare B. Mikkelsen; Maarten De Vos (IEEE J. Biomed. Health Informatics, 2023)

The roles, challenges, and merits of the p value. - Oliver Y. Chén; Julien S. Bodelet; Raúl G. Saraiva; Huy Phan; Junrui Di; Guy Nagels; Tom Schwantje; Hengyi Cao; Jiangtao Gou; Jenna M. Reinen; Bin Xiong; Bangdong Zhi; et al. (Patterns, 2023)

Improving the Robustness of 3D Human Pose Estimation: A Benchmark Dataset and Learning from Noisy Input. - Trung-Hieu Hoang; Mona Zehni; Huy Phan; Duc Minh Vo; Minh N. Do (CVPR Workshops, 2024)

Clean and Compact: Efficient Data-Free Backdoor Defense with Model Compactness. - Huy Phan; Jinqi Xiao; Yang Sui; Tianfang Zhang; Zijie Tang; Cong Shi 004; Yan Wang 003; Yingying Chen 001; Bo Yuan 001 (ECCV (60), 2024)

Mind the Domain Gap: A Systematic Analysis on Bioacoustic Sound Event Detection. - Jinhua Liang; Inês Nolasco; Burooj Ghani; Huy Phan; Emmanouil Benetos; Dan Stowell (EUSIPCO, 2024)

Learning from Taxonomy: Multi-Label Few-Shot Classification for Everyday Sound Recognition. - Jinhua Liang; Huy Phan; Emmanouil Benetos (ICASSP, 2024)

Cross-Triggering Issue in Audio Event Detection and Mitigation. - Huy Phan; Byeonggeun Kim; Vu Nguyen; Andrew Bydlon; Qingming Tang; Chieh-Chi Kao; Chao Wang (ICASSP, 2024)

Enhanced Speech Emotion Recognition Incorporating Speaker-Sensitive Interactions in Conversations. - Jiachen Luo; Huy Phan; Lin Wang 009; Joshua D. Reiss (ICME, 2024)

Hierarchical Tree-structured Knowledge Graph For Academic Insight Survey. - Jinghong Li; Huy Phan; Wen Gu; Koichi Ota; Shinobu Hasegawa (INISTA, 2024)

Inaudible Backdoor Attack via Stealthy Frequency Trigger Injection in Audio Spectrogram. - Tianfang Zhang; Huy Phan; Zijie Tang; Cong Shi 004; Yan Wang 003; Bo Yuan 001; Yingying Chen 001 (MobiCom, 2024)

1st Place Solution to Odyssey Emotion Recognition Challenge Task1: Tackling Class Imbalance Problem. - Mingjie Chen; Hezhao Zhang; Yuanchao Li; Jiachen Luo; Wen Wu 007; Ziyang Ma 001; Peter Bell 001; Catherine Lai; Joshua D. Reiss; Lin Wang 009; Philip C. Woodland; Xie Chen 001; et al. (Odyssey, 2024)

Fish-Bone Diagram of Research Issue: Gain a Bird's-Eye View on a Specific Research Topic. - Jinghong Li; Huy Phan; Wen Gu; Koichi Ota; Shinobu Hasegawa (SMC, 2024)

Design Principle of an Automatic Engagement Estimation System in a Synchronous Distance Learning Practice. - Shofiyati Nur Karimah; Huy Phan; Miftakhurrokhmat; Shinobu Hasegawa (IEEE Access, 2024)

ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks. - Yang Sui; Miao Yin; Yu Gong; Jinqi Xiao; Huy Phan; Bo Yuan 001 (CoRR, 2024)

Data-Centric Human Preference Optimization with Rationales. - Hoang Anh Just; Ming Jin 002; Anit Kumar Sahu; Huy Phan; Ruoxi Jia 001 (CoRR, 2024)

AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding. - Nhan Duc Thanh Nguyen; Huy Phan; Simon Geirnaert; Kaare B. Mikkelsen; Preben Kidmose (CoRR, 2024)

Single-word Auditory Attention Decoding Using Deep Learning Model. - Nhan Duc Thanh Nguyen; Huy Phan; Kaare B. Mikkelsen; Preben Kidmose (CoRR, 2024)

ATGNN: Audio Tagging Graph Neural Network. - Shubhr Singh; Christian J. Steinmetz; Emmanouil Benetos; Huy Phan; Dan Stowell (IEEE Signal Process. Lett., 2024)

MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification. - Phairot Autthasan; Rattanaphon Chaisaen; Huy Phan; Maarten De Vos; Theerawit Wilaiprasitporn (IEEE Internet Things J., 2024)

RF Domain Backdoor Attack on Signal Classification via Stealthy Trigger. - Zijie Tang; Tianming Zhao 001; Tianfang Zhang; Huy Phan; Yan Wang 003; Cong Shi 004; Bo Yuan 001; Yingying Chen 001 (IEEE Trans. Mob. Comput., 2024)

Effective Techniques for Scaling Audio Encoder Pretraining. - Byeonggeun Kim; Andrew Bydlon; Qingming Tang; Huy Phan; Chieh-Chi Kao; Tao Zhang; Chao Wang (ICASSP, 2025)

LHGNN: Local-Higher Order Graph Neural Networks For Audio Classification and Tagging. - Shubhr Singh; Emmanouil Benetos; Huy Phan; Dan Stowell (ICASSP, 2025)

Latent Diffusion Shield - Mitigating Malicious Use of Diffusion Models Through Latent Space Adversarial Perturbations. - Huy Phan; Boshi Huang; Ayush Jaiswal; Ekraam Sabir; Prateek Singhal; Bo Yuan 001 (WACV (Workshops), 2025)

DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models. - Yang Sui; Huy Phan; Jinqi Xiao; Tianfang Zhang; Zijie Tang; Cong Shi 004; Yan Wang 003; Yingying Chen 001; Bo Yuan 001 (Trans. Mach. Learn. Res., 2025)

Momentum Contrastive Learning with Enhanced Negative Sampling and Hard Negative Filtering. - Duy Hoang; Huy Ngo; Khoi Pham; Tri Nguyen; Gia Bao; Huy Phan (CoRR, 2025)

Bimodal Connection Attention Fusion for Speech Emotion Recognition. - Jiachen Luo; Huy Phan; Lin Wang 009; Joshua D. Reiss (CoRR, 2025)

Heterogeneous bimodal attention fusion for speech emotion recognition. - Jiachen Luo; Huy Phan; Lin Wang 009; Joshua D. Reiss (CoRR, 2025)

Subject-Adaptation Salient Wave Detection Network for Multimodal Sleep Stage Classification. - Jing Wang 060; Xuehui Wang; Xiaojun Ning 001; Youfang Lin; Huy Phan; Ziyu Jia (IEEE J. Biomed. Health Informatics, 2025)

IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling. - Kuan-Po Huang; Shu-Wen Yang; Huy Phan; Bo-Ru Lu; Byeonggeun Kim; Sashank Macha; Qingming Tang; Shalini Ghosh; Hung-yi Lee; Chieh-Chi Kao; Chao Wang (CoRR, 2025)

Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction. - Shu-Wen Yang; Byeonggeun Kim; Kuan-Po Huang; Qingming Tang; Huy Phan; Bo-Ru Lu; Harsha Sundar; Shalini Ghosh; Hung-yi Lee; Chieh-Chi Kao; Chao Wang (CoRR, 2025)

DSleepNet: Disentanglement Learning for Personal Attribute-Agnostic Three-Stage Sleep Classification Using Wearable Sensing Data. - Bing Zhai; Haoran Duan 001; Yu Guan; Huy Phan; Wai Lok Woo (IEEE J. Biomed. Health Informatics, 2025)