Publications

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Preprint(s)

N. Banluesombatkul, P. Ouppaphan, P. Leelaarporn, P. Lakhan, B. Chaitusaney, N. Jaimchariyatam, E. Chuangsuwanich, W. Chen, H. Phan, N. Dilokthanakul, T. Wilaiprasitporn. MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning. arXiv preprint arXiv:2004.04157, 2020 [PDF]

O. Y. Chén, H. Phan, G. Nagels, and M. De Vos. On Statistical Analysis of Brain Variability. Preprints 2020, 2020080428 [PDF]

H. Phan, O. Y. Chén, P. Koch, A. Mertins, and M. De Vos. XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging. arXiv preprint arXiv:2007.05492, 2020 [PDF]

O. Y. Chén, H. Cao, H. Phan, G. Nagels, J. M. Reinen, J. Gou, T. Qian, J. Di, J. Prince, T. D. Cannon, M. de Vos. Identifying Neural Signatures Mediating Behavioral Symptoms and Psychosis Onset: High-Dimensional Whole Brain Functional Mediation Analysis. bioRxiv, 2020 [PDF]

O. Y. Chén, R. G. Saraiva, G. Nagels, H. Phan, T. Schwantje, H. Cao, J. Gou, J. M. Reinen, B. Xiong, M. de Vos. Thou Shalt Not Reject the P-value. arXiv preprint arXiv:2002.07270, 2020 [PDF]

L. Pham, H. Phan, T. Nguyen, R. Palaniappan, A. Mertins, I. McLoughlin. Robust Acoustic Scene Classification using a Multi-Spectrogram Encoder-Decoder Framework. arXiv preprint arXiv:2002.04502, 2020 [PDF]

L. Pham, H. Phan, R. Palaniappan, A. Mertins, I. McLoughlin. CNN-MoE based framework for classification of respiratory anomalies and lung disease detection. arXiv preprint arXiv:2004.04072, 2020 [PDF]

2020

H. Phan, I. V. McLoughlin, L. Pham, O. Y. Chén, P. Koch, M. De Vos, and A. Mertins. Improving GANs for Speech Enhancement. IEEE Signal Processing Letters, 2020 [PDF] [CODE]
(accepted)

H. Phan, L. Pham, P. Koch, N. Q. K. Duong, I. McLoughlin, and A. Mertins. On Multitask Loss Function for Audio Event Detection and Localization. 5th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2020), 2020 [PDF]
(accepted)

P. Koch, M. Dreier, M. Maass, H. Phan, and A. Mertins. RNN with Stacked Architecture for sEMG based Sequence-to-Sequence Hand Gesture Recognition. 28th European Signal Processing Conference (EUSIPCO 2020), 2020 [[PDF]]
(accepted)

H. Phan, O. Y. Chén, P. Koch, Z. Lu, I. McLoughlin, A. Mertins, and M. De Vos. Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning. IEEE Transactions on Biomedical Engineering (TBME), 2020 [PDF] [CODE]

L. Pham, I. McLoughlin, H. Phan, M. Tran, T. Nguyen, R. Palaniappan. Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020), 2020 [PDF]

P. Koch, M. Dreier, A. Larsen, T. J. Parbs, M. Maaß, H. Phan, Alfred Mertins. Regression of Hand Movements from sEMG Data with Recurrent Neural Networks. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020), 2020

L. Pham, I. McLoughlin, H. Phan, R. Palaniappan, A. Mertins. Deep Feature Embedding and Hierarchical Classification for Audio Scene Classification. 2020 International Joint Conference on Neural Networks (IJCNN), 2020 [PDF]

H. Phan, L. Pham, P. Koch, N. Q. K. Duong, I. McLoughlin, A. Mertins. Audio Event Detection and Localization with Multitask Regression Network. Detection and Classification of Acoustic Scenes and Events (DCASE 2020) Technical Report, 2020 [PDF]

H. Phan, K. Mikkelsen, O. Y. Chén, P. Koch, A. Mertins, P. Kidmose, M. De Vos. Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization. Physiological Measurement, vol. 41, Article ID 064004, 2020 [PDF]

O. Y. Chén, F. Lipsmeier, H. Phan, J. Prince, K. I. Taylor, C. Gossens, M. Lindemann, and M. De Vos. Building a Machine-learning Framework to Remotely Assess Parkinson’s Disease Using Smartphones. IEEE Transactions on Biomedical Engineering (TBME), 2020 [PDF]

V.-D. Nguyen, H. Phan, A. Mansour, and A. Coatanhay. VoglerNet: Multiple Knife-Edge Diffraction Using Deep Neural Network. 14th European Conference on Antennas and Propagation (EuCAP 2020), 2020

I. McLoughlin, Z. Xie, Y. Song, H. Phan, and P. Ramaswamy. Time-frequency feature fusion for noise-robust audio event classification. Circuits, Systems, and Signal Processing (CSSP): 39(3), pp. 1672–1687, 2020 [PDF]

2019

H. Phan, O. Y. Chén, L. Pham, P. Koch, M. De Vos, I. McLoughlin, and A. Mertins. Spatio-Temporal Attention Pooling for Audio Scene Classification. 20th Annual Conference of the International Speech Communication Association (INTERSPEECH), 2019 [PDF]

L. Pham, I. McLoughlin, H. Phan, and R. Palaniappan. A Robust Framework For Acoustic Scene Classification. 20th Annual Conference of the International Speech Communication Association (INTERSPEECH), 2019

H. Phan, O. Y. Chén, P. Koch, A. Mertins, and M. De Vos. Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch. 27th European Signal Processing Conference (EUSIPCO), 2019 [PDF]

P. Koch, M. Dreier, M. Böhme, M. Maass, H. Phan, and A. Mertins. Inhomogeneously Stacked RNN for Recognizing Hand Gestures from Magnetometer Data. 27th European Signal Processing Conference (EUSIPCO), 2019 [PDF]

H. Phan, O. Y. Chén, P. Koch, A. Mertins, and M. De Vos. Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019

P. Koch, M. Dreier, M. Maass, M. Böhme, H. Phan, and A. Mertins. A Recurrent Neural Network for Hand Gesture Recognition based on Accelerometer Data. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019

H. Phan, O. Y. Chén, P. Koch, L. Pham, I. McLoughlin, A. Mertins, and M. De Vos. Beyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene? 2019 AES Conference on Audio Forensics, no. 16, 2019 [PDF]

L. Pham, I. McLoughlin, H. Phan, R. Palaniappan, and Y. Lang. Bag-of-Features Models Based on C-DNN Network for Acoustic Scene Classification. 2019 AES Conference on Audio Forensics, no. 12, 2019

H. Phan, O. Y. Chén, P. Koch, L. Pham, I. McLoughlin, A. Mertins, and M. De Vos. Unifying Isolated and Overlapping Audio Event Detection with Multi-Label Multi-Task Convolutional Recurrent Neural Networks. Proc. 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 51-55, 2019 [PDF]

P. Koch, N. Brügge, H. Phan, M. Maass, and A. Mertins. Forked Recurrent Neural Network for Hand Gesture Classification Using Inertial Measurement Data. Proc. 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2877-2881, 2019

H. Phan, F. Andreotti, N. Cooray, O. Y. Chén, and M. De Vos. SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging. IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE): 27(3), pp. 400-410, 2019 [PDF][CODE]
(Featured in the published issue: Link)

H. Phan, F. Andreotti, N. Cooray, O. Y. Chén, and M. De Vos. Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. IEEE Transactions on Biomedical Engineering (TBME): 66(5), pp. 1285-1296, 2019 [PDF][CODE]

O. Y. Chén, H. Cao, J. Reinen, T. Qian, J. Gou, H. Phan, M. De Vos, and T. Cannon. Resting-State Brain Information Flow Predicts Cognitive Flexibility in Humans. Nature Scientific Reports: 9, Article number 3879, 2019 [PDF]

2018

I. McLoughlin, Y. Song, L. Pham, R. Palaniappan, H. Phan, Y. Lang. Early Detection of Continuous and Partial Audio Events Using CNN. In Proceedings of 19th Annual Conference of the International Speech Communication Association (INTERSPEECH), pp. 3314-3318, 2018 [PDF]

P. Koch, H. Phan, M. Maass, F. Katzberg, R. Mazur, and A. Mertins. Recurrent Neural Networks with Weighting Loss for Early Prediction of Hand Movements. In Proceedings of 26th European Signal Processing Conference (EUSIPCO), 2018 [PDF]

F. Andreotti, H. Phan, M. De Vos. Visualising Convolutional Neural Network Decisions in Automatic Sleep Scoring. In Proceedings of Joint Workshop on Artificial Intelligence in Health (AIH), 2018 [PDF]

H. Phan, F. Andreotti, N. Cooray, O. Y. Chén, and M. De Vos. Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks. In Proceedings of 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1452-1455, 2018 [PDF]

H. Phan, F. Andreotti, N. Cooray, O. Y. Chén, and M. De Vos. DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification. In Proceedings of 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 453-456, 2018 [PDF]

F. Andreotti, H. Phan, N. Cooray, C. Lo, M. T. M. Hu, and M. De Vos. Multichannel Sleep Stage Classification and Transfer Learning Using Convolutional Neural Networks. In Proceedings of 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 171-174, 2018 [PDF]

P. Koch, H. Phan, M. Maass, F. Katzberg, and A. Mertins. Recurrent Neural Network Based Early Prediction of Future Hand Movements. In Proceedings of 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018 [PDF]

H. Phan, P. Koch, I. McLoughlin, and A. Mertins. Enabling Early Audio Event Detection with Neural Networks. In Proceedings of 43rd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 141-145, 2018 [PDF]

H. Phan, M. Krawczyk-Becker, T. Gerkmann, and A. Mertins. Weighted and Multi-Task Loss for Rare Audio Event Detection. In Proceedings of 43rd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 336-340, 2018 [PDF]

2017

Q. H. Phan. Audio Event Detection, Classification, and Beyond. Ph.D. Thesis, University of Lübeck, August 2017 [PDF]
(summa cum laude) (Bernd Fischer award)

I. McLoughlin, H. Zhang, Z. Xie, Y. Song, W. Xiao, and H. Phan. Continuous Robust Sound Event Classification Using Time-Frequency Features and Deep Learning. PLoS ONE: 12(9), Article ID e0182309, 2017 [PDF]

H. Phan, L. Hertel, M. Maass, P. Koch, R. Mazur, and A. Mertins. Improved Audio Scene Classification based on Label-Tree Embeddings and Convolutional Neural Networks. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP): 25(6), pp. 1278-1290, 2017 [PDF] [CODE]

M. Maass, M. Ahlborg, A. Bakenecker, F. Katzberg, H. Phan, T. M. Buzug, and A. Mertins. A Trajectory Study for Obtaining MPI System Matrices in a Compressed-Sensing Framework. International Journal on Magnetic Particle Imaging (IJMPI): 3(2), Article ID 1706005, 2017 [PDF]

H. Phan, P. Koch, F. Katzberg, M. Maass, R. Mazur, I. McLoughlin, and A. Mertins. What Makes Audio Event Detection Harder than Classification? In Proceedings of 25th European Signal Processing Conference (EUSIPCO), pp. 2739-2743, 2017 [PDF]

H. Phan, P. Koch, F. Katzberg, M. Maass, R. Mazur, and A. Mertins. Audio Scene Classification with Deep Recurrent Neural Networks. In Proceedings of 18th Annual Conference of the International Speech Communication Association (INTERSPEECH), pp. 3043-3047, 2017 [PDF] [CODE]

P. Koch, H. Phan, M. Maass, F. Katzberg, and A. Mertins. Early Prediction of Future Hand Movements Using sEMG Data. In Proceedings of 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 54-57, 2017 [PDF]

H. Phan, P. Koch, L. Hertel, M. Maass, R. Mazur, and A. Mertins. CNN-LTE: A Class of 1-X Pooling Convolutional Neural Networks on Label Tree Embeddings for Audio Scene Classification. In Proceedings of 42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 136-140, 2017 [PDF] [CODE]

R. Mazur, F. Katzberg, H. Phan, and A. Mertins. Room Equalization Based on Measurements of Moving Microphones. In Proceedings of 5th Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA), pp. 121-125, 2017

H. Phan, M. Krawczyk-Becker, T. Gerkmann, and A. Mertins. DNN and CNN with Weighted and Multi-Task Loss Functions for Audio Event Detection, Technical Report: Detection and Classification of Audio Scenes and Events (DCASE 2017), 2017 [PDF]

H. Phan, P. Koch, F. Katzberg, M. Maass, R. Mazur, and A. Mertins. Attention-Based CNN with Generalized Label Tree Embedding for Audio Scene Classification, Technical Report: Detection and Classification of Audio Scenes and Events (DCASE 2017), 2017 [PDF]

2016

H. Phan, L. Hertel, M. Maass, R. Mazur, and A. Mertins. Learning Representations for Nonspeech Audio Events through Their Similarities to Speech Patterns. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP): 24(4), pp. 807-822, 2016 [PDF]

M. Maass, K. Bente, M. Ahlborg, H. Medimagh, H. Phan, T. M. Buzug, and A. Mertins. Optimized Compression of MPI System Matrices Using a Symmetry-Preserving Secondary Orthogonal Transform. International Journal on Magnetic Particle Imaging (IJMPI): 2(1), Article ID 1607002, 2016 [PDF]

H. Phan, L. Hertel, M. Maass, P. Koch, and A. Mertins. Label Tree Embeddings for Acoustic Scene Classification. In Proceedings of 24th ACM Multimedia (ACMMM), pp. 486-490, 2016 [PDF] [CODE]

H. Phan, L. Hertel, M. Maass, and A. Mertins. Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks. In Proceedings of 17th Annual Conference of the International Speech Communication Association (INTERSPEECH), pp. 3653-3657, 2016 [PDF] [CODE]

L. Hertel, H. Phan, and A. Mertins. Comparing Time and Frequency Domain for Audio Event Recognition Using Deep Learning. In Proceedings of IEEE International Joint Conference on Neural Networks (IJCNN), pp. 3407-3411, 2016 [PDF]

H. Phan, M. Maass, L. Hertel, R. Mazur, I. McLoughlin, and A. Mertins. Learning Compact Structural Representations for Audio Events Using Regressor Banks. In Proceedings of 41st IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 211-215, 2016 [PDF]
(SPS Travel Grant)

M. Maass, K. Bente, M. Ahlborg, H. Medimagh, H. Phan, T. M. Buzug, and A. Mertins. Compression of FFP System Matrix with a Special Sampling Rate on the Lissajous Trajectory. In Proceedings of 6th International Workshop on Magnetic Particle Imaging (IWMPI), 2016

L. Hertel, H. Phan, and A. Mertins. Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global Pooling. Technical Report: Detection and Classification of Audio Scenes and Events (DCASE 2016), 2016 [PDF]

H. Phan, L. Hertel, M. Maass, P. Koch, and A. Mertins. CaR-FOREST: Joint Classification-Regression Decision Forests for Overlapping Audio Event Detection. Technical Report: Detection and Classification of Audio Scenes and Events (DCASE 2016), 2016 [PDF]

H. Phan, L. Hertel, M. Maass, P. Koch, and A. Mertins. CNN-LTE: a Class of 1-X Pooling Convolutional Neural Networks on Label Tree Embeddings for Audio Scene Recognition. Technical Report: Detection and Classification of Audio Scenes and Events (DCASE 2016), 2016 [PDF]

2015

H. Phan, Marco Maaß, R. Mazur, and A. Mertins. Random Regression Forests for Acoustic Event Detection and Classification. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP): 23(1), pp. 20-31, 2015 [PDF] [CODE]

M. Maass, H. Phan, A. Möller, and A. Mertins. Cosine-Sine Modulated Filter Banks for Motion Estimation and Correction. In Proceedings of International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS), pp. 195-204, 2015 [PDF]

H. Phan, M. Maass, L. Hertel, R. Mazur, and A. Mertins. A Multi-Channel Fusion Framework for Audio Event Detection. In Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pp. 1-5, 2015 [PDF]

H. Phan, L. Hertel, M. Maass, R. Mazur, and A. Mertins. Representing Nonspeech Audio Signals through Speech Classification Models. In Proceedings of 16th Annual Conference of the International Speech Communication Association (INTERSPEECH), pp. 3441-3445, 2015 [PDF]
(Best Student Paper Award Finalist) (ISCA Travel Grant)

H. Phan, L. Hertel, M. Maass, R. Mazur, and A. Mertins. Audio Phrases for Audio Event Recognition. In Proceedings of 23rd European Signal Processing Conference (EUSIPCO), pp. 2546-2550, 2015 [PDF]

R. Mazur, H. Phan, and A. Mertins. A Clustering Approach for Solving the Spatial Aliasing Problem in Convolutive Blind Source Separation. In Proceedings of 20th International Conference on Digital Signal Processing (DSP), pp. 679-683, 2015

H. Phan, M. Maass, R. Mazur, and A. Mertins. Early Event Detection in Audio Streams. In Proceedings of IEEE International Conference on Multimedia and Expo (ICME), pp. 1-6, 2015 [PDF]
(Top 15% paper)

2014

H. Phan, M. Maass, R. Mazur, and A. Mertins. Acoustic Event Detection and Localization with Regression Forests. In Proceedings of 15th Annual Conference of the International Speech Communication Association (INTERSPEECH), pp. 2524-2528, 2014 [PDF] [DEMO]
(ISCA Travel Grant)

H. Phan and A. Mertins. Exploring Superframe Co-occurrence for Acoustic Event Recognition. In Proceedings of 22nd European Signal Processing Conference (EUSIPCO), pp. 631-635, 2014 [PDF]

M. Maass, H. Phan, and A. Mertins. Design of Cosine-Sine Modulated Filter Banks without DC Leakage. In Proceedings of 19th International Conference on Digital Signal Processing (DSP), pp. 486-491, 2014 [PDF]

H. Phan and A. Mertins. A Voting-based Technique for Acoustic Event-Specific Detection. In Proceedings of 40th Annual German Congress on Acoustics (DAGA), 2014 [PDF]

2013

Q.-H. Phan, S.-L. Tan, and I. McLoughlin. GPS Multipath Mitigation: A Nonlinear Regression Approach. GPS Solutions: 17(3), pp. 371-380, 2013 [PDF]

Q.-H. Phan, S.-L. Tan, I. McLoughlin, and D.-L. Vu. A Unified Framework for GPS Code and Carrier-Phase Multipath Mitigation using Support Vector Regression. Advances in Artificial Neural Systems, 2013 [PDF]

H. Phan, Q. Do, T.-L. Do, and D.-L. Vu. Metric Learning for Automatic Sleep Stage Classification. In Proceedings of 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 5025-5028, 2013 [PDF] [CODE]

2012

Q. H. Phan. Nonlinear regression approach for GPS multipath mitigation: from code to carrier-phase measurements. M.Eng. Thesis, Nanyang Technological University, 2012 [PDF]

2011

Q.-H. Phan and S.-L. Tan. Mitigation of GPS Periodic Multipath Using Nonlinear Regression. In Proceedings of 19th European Signal Processing Conference (EUSIPCO), pp. 1795-1799, 2011 [PDF]