Huy Phan

Orcid: 0000-0003-4096-785X

According to our database1, Huy Phan authored at least 133 papers between 1995 and 2024.

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

Timeline

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On csauthors.net:

Bibliography

2024
MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification.
IEEE Internet Things J., September, 2024

ATGNN: Audio Tagging Graph Neural Network.
IEEE Signal Process. Lett., 2024

Data-Centric Human Preference Optimization with Rationales.
CoRR, 2024

Fish-bone diagram of research issue: Gain a bird's-eye view on a specific research topic.
CoRR, 2024

DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models.
CoRR, 2024

ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks.
CoRR, 2024

Design Principle of an Automatic Engagement Estimation System in a Synchronous Distance Learning Practice.
IEEE Access, 2024

1st Place Solution to Odyssey Emotion Recognition Challenge Task1: Tackling Class Imbalance Problem.
Proceedings of the Odyssey 2024: The Speaker and Language Recognition Workshop, 2024

Inaudible Backdoor Attack via Stealthy Frequency Trigger Injection in Audio Spectrogram.
Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

Hierarchical Tree-structured Knowledge Graph For Academic Insight Survey.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2024

Enhanced Speech Emotion Recognition Incorporating Speaker-Sensitive Interactions in Conversations.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Cross-Triggering Issue in Audio Event Detection and Mitigation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Learning from Taxonomy: Multi-Label Few-Shot Classification for Everyday Sound Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2024

Mind the Domain Gap: A Systematic Analysis on Bioacoustic Sound Event Detection.
Proceedings of the 32nd European Signal Processing Conference, 2024

Improving the Robustness of 3D Human Pose Estimation: A Benchmark Dataset and Learning from Noisy Input.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
The roles, challenges, and merits of the p value.
Patterns, December, 2023

L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging.
IEEE J. Biomed. Health Informatics, October, 2023

Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones.
IEEE J. Biomed. Health Informatics, July, 2023

Automatic sleep scoring using patient-specific ensemble models and knowledge distillation for ear-EEG data.
Biomed. Signal Process. Control., March, 2023

Improving the Robustness of 3D Human Pose Estimation: A Benchmark and Learning from Noisy Input.
CoRR, 2023

CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities.
CoRR, 2023

deep learning of segment-level feature representation for speech emotion recognition in conversations.
CoRR, 2023

L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging.
CoRR, 2023

Perceptual Musical Similarity Metric Learning with Graph Neural Networks.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

Security-Preserving Live 3D Video Surveillance.
Proceedings of the 14th Conference on ACM Multimedia Systems, 2023

An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies.
Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

Fine-tuned RoBERTa Model with a CNN-LSTM Network for Conversational Emotion Recognition.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Adapting Language-Audio Models as Few-Shot Audio Learners.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Exploring Pre-Trained Neural Audio Representations for Audio Topic Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Stealthy Backdoor Attack on RF Signal Classification.
Proceedings of the 32nd International Conference on Computer Communications and Networks, 2023

Improving Automatic Sleep Staging Via Temporal Smoothness Regularization.
Proceedings of the IEEE International Conference on Acoustics, 2023

Cross-Modal Fusion Techniques for Utterance-Level Emotion Recognition from Text and Speech.
Proceedings of the IEEE International Conference on Acoustics, 2023

Modelling Black-Box Audio Effects with Time-Varying Feature Modulation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Improving audio event localization accuracy via derivative prediction.
Proceedings of the 31st European Signal Processing Conference, 2023

A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

Mutual Cross-Attention in Dyadic Fusion Networks for Audio-Video Emotion Recognition.
Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, 2023

CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
FSD-FS.
Dataset, December, 2022

Feature matching as improved transfer learning technique for wearable EEG.
Biomed. Signal Process. Control., September, 2022

SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification.
IEEE Trans. Biomed. Eng., 2022

Pediatric Automatic Sleep Staging: A Comparative Study of State-of-the-Art Deep Learning Methods.
IEEE Trans. Biomed. Eng., 2022

Sleep Monitoring Using Ear-Centered Setups: Investigating the Influence From Electrode Configurations.
IEEE Trans. Biomed. Eng., 2022

MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification.
IEEE Trans. Biomed. Eng., 2022

XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Improving trajectory localization accuracy via direction-of-arrival derivative estimation.
CoRR, 2022

Audio-domain position-independent backdoor attack via unnoticeable triggers.
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

Visual privacy protection in mobile image recognition using protective perturbation.
Proceedings of the MMSys '22: 13th ACM Multimedia Systems Conference, Athlone, Ireland, June 14, 2022

Towards Yield Improvement for AI Accelerators: Analysis and Exploration.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

Invisible and Efficient Backdoor Attacks for Compressed Deep Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022

Polyphonic Audio Event Detection: Multi-Label or Multi-Class Multi-Task Classification Problem?
Proceedings of the IEEE International Conference on Acoustics, 2022

SALSA-Lite: A Fast and Effective Feature for Polyphonic Sound Event Localization and Detection with Microphone Arrays.
Proceedings of the IEEE International Conference on Acoustics, 2022

Hypernetworks for Sound event Detection: a Proof-of-Concept.
Proceedings of the 30th European Signal Processing Conference, 2022

RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN.
Proceedings of the Computer Vision - ECCV 2022, 2022

Leveraging Label Hierachies for Few-Shot Everyday Sound Recognition.
Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

Few-Shot Bioacoustic Event Detection: Enhanced Classifiers for Prototypical Networks.
Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

Data augmentation in semi-supervised adversarial domain adaptation for EEG-based sleep staging.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
CNN-MoE Based Framework for Classification of Respiratory Anomalies and Lung Disease Detection.
IEEE J. Biomed. Health Informatics, 2021

MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-Signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning.
IEEE J. Biomed. Health Informatics, 2021

Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning.
IEEE Trans. Biomed. Eng., 2021

Identifying neural signatures mediating behavioral symptoms and psychosis onset: High-dimensional whole brain functional mediation analysis.
NeuroImage, 2021

Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework.
Digit. Signal Process., 2021

Automatic Sleep Staging: Recent Development, Challenges, and Future Directions.
CoRR, 2021

Neural Synthesis of Footsteps Sound Effects with Generative Adversarial Networks.
CoRR, 2021

CHIP: CHannel Independence-based Pruning for Compact Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-View Audio And Music Classification.
Proceedings of the IEEE International Conference on Acoustics, 2021

Self-Attention Generative Adversarial Network for Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2021

A General Network Architecture for Sound Event Localization and Detection Using Transfer Learning and Recurrent Neural Network.
Proceedings of the IEEE International Conference on Acoustics, 2021

Inception-Based Network and Multi-Spectrogram Ensemble Applied To Predict Respiratory Anomalies and Lung Diseases.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

sEMG-Based Hand Movement Regression by Prediction of Joint Angles With Recurrent Neural Networks.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Speaker count: A new building block for speaker diarization.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020
Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones.
IEEE Trans. Biomed. Eng., 2020

Improving GANs for Speech Enhancement.
IEEE Signal Process. Lett., 2020

Time-Frequency Feature Fusion for Noise Robust Audio Event Classification.
Circuits Syst. Signal Process., 2020

Inception-Based Network and Multi-Spectrogram Ensemble Applied For Predicting Respiratory Anomalies and Lung Diseases.
CoRR, 2020

On Multitask Loss Function for Audio Event Detection and Localization.
CoRR, 2020

XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging.
CoRR, 2020

Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization.
CoRR, 2020

VVSec: Securing Volumetric Video Streaming via Benign Use of Adversarial Perturbation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Deep Feature Embedding and Hierarchical Classification for Audio Scene Classification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

RNN With Stacked Architecture for sEMG based Sequence-to-Sequence Hand Gesture Recognition.
Proceedings of the 28th European Signal Processing Conference, 2020

Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Regression of Hand Movements from sEMG Data with Recurrent Neural Networks.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

On Multitask Loss Function for Audio Event Detection and Localization.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification.
IEEE Trans. Biomed. Eng., 2019

Spatio-Temporal Attention Pooling for Audio Scene Classification.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

A Robust Framework for Acoustic Scene Classification.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Unifying Isolated and Overlapping Audio Event Detection with Multi-label Multi-task Convolutional Recurrent Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

Forked Recurrent Neural Network for Hand Gesture Classification Using Inertial Measurement Data.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch.
Proceedings of the 27th European Signal Processing Conference, 2019

Inhomogeneously Stacked RNN for Recognizing Hand Gestures from Magnetometer Data.
Proceedings of the 27th European Signal Processing Conference, 2019

Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

A Recurrent Neural Network for Hand Gesture Recognition based on Accelerometer Data.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Beyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene?
CoRR, 2018

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging.
CoRR, 2018

Early Detection of Continuous and Partial Audio Events Using CNN.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Visualising convolutional neural network decisions in automated sleep scoring.
Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), 2018

Enabling Early Audio Event Detection with Neural Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Weighted and Multi-Task Loss for Rare Audio Event Detection.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Recurrent Neural Networks with Weighting Loss for Early prediction of Hand Movements.
Proceedings of the 26th European Signal Processing Conference, 2018

Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Recurrent Neural Network Based Early Prediction of Future Hand Movements.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Multichannel Sleep Stage Classification and Transfer Learning using Convolutional Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Improved Audio Scene Classification Based on Label-Tree Embeddings and Convolutional Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

DNN and CNN with Weighted and Multi-task Loss Functions for Audio Event Detection.
CoRR, 2017

Audio Scene Classification with Deep Recurrent Neural Networks.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

CNN-LTE: A class of 1-X pooling convolutional neural networks on label tree embeddings for audio scene classification.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Room equalization based on measurements with moving microphones.
Proceedings of the Hands-free Speech Communications and Microphone Arrays, 2017

What makes audio event detection harder than classification?
Proceedings of the 25th European Signal Processing Conference, 2017

Early prediction of future hand movements using sEMG data.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Learning Representations for Nonspeech Audio Events Through Their Similarities to Speech Patterns.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

What Make Audio Event Detection Harder than Classification?
CoRR, 2016

CaR-FOREST: Joint Classification-Regression Decision Forests for Overlapping Audio Event Detection.
CoRR, 2016

CNN-LTE: a Class of 1-X Pooling Convolutional Neural Networks on Label Tree Embeddings for Audio Scene Recognition.
CoRR, 2016

Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global Pooling.
CoRR, 2016

Label Tree Embeddings for Acoustic Scene Classification.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Comparing time and frequency domain for audio event recognition using deep learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Learning compact structural representations for audio events using regressor banks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Random Regression Forests for Acoustic Event Detection and Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

A multi-channel fusion framework for audio event detection.
Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

Representing nonspeech audio signals through speech classification models.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Early event detection in audio streams.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

A clustering approach for solving the spatial aliasing problem in convolutive blind source separation.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Audio phrases for audio event recognition.
Proceedings of the 23rd European Signal Processing Conference, 2015

Cosine-Sine Modulated Filter Banks for Motion Estimation and Correction.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2015

2014
Acoustic event detection and localization with regression forests.
Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Design of cosine-sine modulated filter banks without DC leakage.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Exploring superframe co-occurrence for acoustic event recognition.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Metric learning for automatic sleep stage classification.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

1995
Computationally efficient 3-D statistical reconstruction from digitized radiographs.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995


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