Team papers

Team publications, excluding publications from affiliated members and the advisory board.

Bold names indicate founding members.

2025

• D-C Can, Q-H Tang, H. Ha, B.T. Nguyen, and OY Chén. REMEMBER: Retrieval-based Explainable Multimodal Evidence-guided Modeling for Brain Evaluation and Reasoning in Zero- and Few-shot Neurodegenerative Diagnosis. (2025) [Paper] [Software].

• N. Baghirova, D.T. Vũ, D-C Can, C. Schneuwly Diaz, J. Bodelet, G. Blanc, G. Hrusanov, B. Ries, and OY Chén. Explainable Graph-theoretical Machine Learning: with Application to Alzheimer’s Disease Prediction. (2025) [Paper] [Software].

• C. Schneuwly Diaz, D.T. Vũ, J. Bodelet, D-C Can, G. Blanc, H. Jiang, L. Yao, G. Pantaleo, and OY Chén. OPTIMUS: Predicting Multivariate Outcomes in Alzheimer’s Disease Using Multi-modal Data amidst Missing Values. (2025) [Paper]. 

• D-C Can, L.D. Dang, Q-H Tang, D.M. Ly, H. Ha, G. Blanc, OY Chén*, and BT Nguyen*. VisTA: Vision-Text Alignment Model with Contrastive Learning using Multimodal Data for Evidence-Driven, Reliable, and Explainable Alzheimer’s Disease Diagnosis. (2025) [Paper] [Code & data] [Pre-trained VisTA].

• S. Singh, E. Benetos, H. Phan, and D. Stowell. LHGNN: Local-Higher Order Graph Neural Networks For Audio Classification and Tagging. (2025) [Paper].

• B. Kim, A. Bydlon, Q. Tang, H. Phan, C.C. Kao, T. Zhang, and C. Wang. Effective techniques for scaling audio encoder pretraining. (2025) [Paper].

• J. Liang, X. Liu, W. Wang, M.D. Plumbley, H. Phan, and E. Benetos. Acoustic prompt tuning: Empowering large language models with audition capabilities. IEEE Transactions on Audio, Speech and Language Processing. (2025) [Paper].

2024

• OY Chén, D.T. Vũ, C.S. Diaz, J.S. Bodelet, H. Phan, G. Allali, V-D Nguyen, H. Cao, X. He, Y. Müller, B. Zhi, H. Shou, H. Zhang, W. He, X. Wang, M. Munafò, N.L. Trung, G. Nagels, P. Ryvlin, G. Pantaleo. Residual Partial Least Squares Learning: Brain Cortical Thickness Simultaneously Predicts Eight Non-pairwise-correlated Behavioural and Disease Outcomes in Alzheimer's Disease. (2024) [Paper] [Software].

• J.S. Bodelet, G. Blanc, J. Shan, G.M. Terrera, and OY Chén. Statistical quantile learning for large, nonlinear, and additive latent variable models. arXiv 2003.13119v4 (2024) [Paper] [Software].

• D.T. Vũ, T.T. Le, P.M. Tuan, N.L. Trung, K. Abed-Meraim, M. Adel, N.V. Dung, N.T. Trung, D.D. Long, and OY Chén. Tensor kernel learning for classification of Alzheimer’s conditions using multimodal data. Multimedia Analysis and Pattern Recognition (2024) [Paper] [Software]. 

• Vũ D.T. and OY Chén. Deep multi-kernel learning for data fusion. (2024) [Software]. 

• S. Stockman, A. Hu, B. Zhi, X. Wu, R. Wood, and OY Chén. Enhancing hospital capacity management for surge demands by integrating machine learning and queueing theory. (2024) [Paper]. 

• J. Gou, K. Wu, and OY Chén. Extending multiple testing with unknown test dependency via the CoCo test: with applications to cancer studies. (2024). [Software].

• A. Chantziou, C. Brenna, K. Ioannidou, OY Chén, P.A. Korkolopoulou, A. Antoniadou, M. Psichogiou, M. Papaioannou, P. Tsirigotis, P.G. Foukas, L.L. de Leval, and C. Petrovas. HIV infection is associated with compromised tumor microenvironment adaptive immune reactivity in Hodgkin Lymphoma. Blood Advances, 2023012116 (2024).

• C. Brenna, B. Bramon Mora, K. Ioannidou, S. Burgermeister, J. Bodelet, M. Siebmanns, S. Georgakis, M. Orfanakis, N. Sedille, M. Feinstein, J.W. Lomasney, OY Chén, G. Pantaleo, S. Berezowska, L. De Leval, R. Gottardo, and C. Petrovas. Follicular Bcl6 reactivity is associated with a unique immune landscape and spatial transcriptome in COVID-19. bioRxiv 2024.11.07.622471 [Paper].

• S. Georgakis, M. Orfanakis, C. Brenna, S. Burgermeister, P.M. Del Rio Estrada, M. González-Navarro, F. Torres-Ruiz, G. Reyes-Terán, S. Avila-Rios, Y.A. Luna-Villalobos, OY Chén, G. Pantaleo, R.A. Koup, and C. Petrovas. Follicular Immune Landscaping Reveals a Distinct Profile of FOXP3hiCD4hi T Cells in Treated Compared to Untreated HIV. Vaccines 12, 912 (2024).

• H. Phan, B. Kim, V. Nguyen, A. Bydlon, Q. Tang, C.C. Kao, and C. Wang. Cross-triggering issue in audio event detection and mitigation. Acoustics, Speech and Signal Processing (2024) [Paper]. 

• M. Baumert and H. Phan. A perspective on automated rapid eye movement sleep assessment. Journal of Sleep Research, e14223 [Paper].

• N.D.T. Nguyen, H. Phan, S. Geirnaert, K. Mikkelsen, and P. Kidmose. AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding. arXiv:2410.13059. (2024) [Paper].

• N.D.T. Nguyen, H. Phan, K. Mikkelsen, and P. Kidmose. Single-word Auditory Attention Decoding Using Deep Learning Model. arXiv:2410.19793. (2024) [Paper].

• J. Liang, H. Phan, and E. Benetos. Learning from Taxonomy: Multi-label Few-Shot Classification for Everyday Sound Recognition. Acoustics, Speech and Signal Processing (2024) [Paper].

• J. Luo, H. Phan, L. Wang, and J. Reiss, J. Enhanced Speech Emotion Recognition Incorporating Speaker-Sensitive Interactions in Conversations. In 2024 IEEE International Conference on Multimedia and Expo (ICME), Niagara Falls, ON, Canada, 2024, pp. 1-6. (2024) [Paper].

• K. Kontras, C. Chatzichristos, H. Phan, J. Suykens, and M. De Vos. CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities. IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE): 14(1), pp.1-4. (2024) [Paper].

• J. Wang, X. Wang, X. Ning, X, Y. Lin, H. Phan, and Z. Jia. Subject-Adaptation Salient Wave Detection Network for Multimodal Sleep Stage Classification. IEEE Journal of Biomedical and Health Informatics. [Paper].

• P. Autthasan, R. Chaisaen, H. Phan, M. De Vos, and T. Wilaiprasitporn. MixNet: Joining Force of Classical and Modern Approaches toward The Comprehensive Pipeline in Motor Imagery EEG Classification. IEEE Internet of Things Journal: 11 (17),  pp. 28539-28554  (2024) [Paper].

• S. Singh, C. J. Steinmetz, E. Benetos, H. Phan and D. Stowell. ATGNN: Audio Tagging Graph Neural Network. IEEE Signal Processing Letters (2024) [Paper].

• J. Liang, I. Nolasco, B. Ghani, H. Phan, E. Benetos, and D Stowell. Mind the Domain Gap: a Systematic Analysis on Bioacoustic Sound Event Detection. arXiv:2403.18638 [Paper].

• J. Liang, H. Zhang, H. Liu, Y. Cao, Q. Kong, X. Liu, W. Wang, M.D. Plumbley, H. Phan, and E. Benetos. WavCraft: Audio Editing and Generation with Natural Language Prompts. arXiv 2403.09527 (2024) [Paper].

• V.-D. Nguyen, H. Phan, OY Chén, A. Mansour, A. Coatanhay, and T. Marsault. On the relationship between Vogler algorithm derivation and parabolic equation for multiple knife edge diffraction. IEEE Transactions on Antennas and Propagation (2023).

2023

• OY Chén, J.S. Bodelet, R. Saraiva, H. Phan, J. Di, G. Nagels, T. Schwantje, H. Cao, J. Gou, J. Reinen, B. Xiong, B. Zhi, X. Wang, and M. de Vos. The roles, challenges, and merits of the P-value. Patterns (2023) [Paper].

• OY Chén, D.T. Vũ, G. Greub, H. Cao, X. He, H. Shou, Y. Muller, C. Petrovas, V.-D. Nguyen, B. Zhi, L. Perez, J.-L. Raisaro, G. Nagels, M. de Vos, W. He, R. Gottardo, P. Smart, M. Munafò, and G. Pantaleo. The statistical analysis of brain variability. IEEE Statistical Signal Processing (2023) [Paper] [Poster]. 

• OY Chén, F. Lipsmeier, H. Phan, F. Dondelinger, A. Scotland, A. Creagh, C. Gossens, M. Lindemann, and M. de Vos. Personalized longitudinal assessment and monitoring of multiple sclerosis using smartphones. IEEE Journal of Biomedical and Health Informatics (JBHI) (2023) [Paper].

• S. Denissen, M. Grothe, M. Vaneckova, T. Uher, J. Laton, M. Kudrna, D. Horakova, M. Kirsch, J. Motyl, M. de Vos, OY Chén, J. Van Schependom, D.M. Sima, and G. Nagels. Transfer learning on structural brain age models to decode cognition in MS: A federated learning approach. medRxiv 2023.04.22.23288741 (2023) [Paper].

• H. Phan, K. P. Lorenzen, E. Heremans, OY Chén, M. C. Tran, P. Koch, A. Mertins, M. Baumert, K, Mikkelsen, and M. de Vos. L-SeqSleepNet: Whole-cycle long sequence modelling for automatic sleep staging. (2023) [Paper].

• H. Phan, E. Heremans, OY Chén, P. Koch, A. Mertins, and M. de Vos. Improving automatic sleep staging via temporal smoothness regularization. IEEE ICASSP (2023) [Paper].

• J. Luo, H. Phan, and J. Reiss. Cross-modal fusion techniques for utterance-level emotion recognition from text and speech. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5 (2023).

• J. Luo, H. Phan, and J. ReissJ. Deep learning of segment-level feature representation for speech emotion recognition in conversations. arXiv 2302.02419 (2023).

• J. Luo, H. Phan, and J. Reiss. Fine-tuned RoBERTa Model with a CNN-LSTM Network for Conversational Emotion Recognition. Proc. INTERSPEECH 2023, 2413-2417.

• M. Baumert, S. Hartmann, S. and H. Phan. Automatic sleep staging for the young and the old–Evaluating age bias in deep learning. Sleep Medicine: 5584 (2023).

• K. Kontras, C. Chatzichristos, H. Phan, J. Suykens, and M. de Vos. CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities. arXiv 2304.06485 (2023).

• M. Comunità, C.J. Steinmetz, H. Phan, and J.D. Reiss. Modelling black-box audio effects with time-varying feature modulation. Acoustics, Speech and Signal Processing (ICASSP 2023) (2023).

• K. Borup, P. Kidmose, H. Phan, and K. Mikkelsen. Automatic sleep scoring using patient-specific ensemble models and knowledge distillation for ear-EEG data. Biomedical Signal Processing and Control: 81, p.104496 (2023).

• D. Ngo, L. Pham, H. Phan, M. Tran, and D. Jarchi. A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies. arXiv preprint arXiv:2306.14929 (2023) [Paper]. 

• K. Kontras, C. Chatzichristos, H. Phan, J. Suykens, and M. de Vos. CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities. arXiv:2304.06485 (2023).

• R. Pandey, S. Jaiswal, H. Phan, and S. Nannuru. Improving audio event localization accuracy via derivative prediction. Signal Processing Conference (EUSIPCO 2023), 31st European, 236-240.

• D. Ngo, L. Pham, H. Phan, M. Tran, D. Jarchi, and S. Kolozali. An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies. arXiv:2303.04104 (2023).

• I. Ghinassi, M. Purver, H. Phan, and C. Newell. Exploring Pre-Trained Neural Audio Representations for Audio Topic Segmentation. 2023 IEEE International Conference on Multimedia and Expo (ICME), Brisbane, Australia, 2023, pp. 1086-1091.

• C. Vahidi, C., S. Singh, S., E. Benetos, E., H. Phan, D. Stowell, G. Fazekas, and M. Lagrange. Perceptual musical similarity metric learning with graph neural networks. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2023) [Paper].

• J. Liang, X. Liu, H. Liu, H. Phan, E. Benetos, M.D., Plumbley, and W. Wang. Adapting Language-Audio Models as Few-Shot Audio Learners. arXiv preprint. arXiv:2305.17719 (2023).

2022

• OY Chén. Uniting machine intelligence, brain and behavioural sciences to assist criminal justice. (2022) arXiv 2207.01511v2 [Paper].

• OY Chén and M. Olejnik. Cognitive trust and stochastic multiagent systems. (2022).

• E. R. M. Heremans, T. Osselaer, N. Seeuws, H. Phan, D. Testelmans, and M. De Vos. Data augmentation in semi-supervised adversarial domain adaptation for EEG-based sleep staging. IEEE International Conference on Biomedical and Health Informatics (IEEE BHI) (2022).

• S. Singh, H. Phan, and E. Benetos. HyperNetworks for sound event detection: A proof-of-concept. In Proc. 30th European Signal Processing Conference (EUSIPCO) (2022).

• T. Trong Duy, L. V. Nguyen, V. -D. Nguyen, N. Linh-Trung, and K. Abed-Meraim. Fisher information neural estimation. In Proc. 30th European Signal Processing Conference (EUSIPCO) (2022).

• V.-D. Nguyen, H. Phan, A. Mansour, A. Coatanhay, and T. Marsault. Deep learning based higher-order approximation for multiple knife edge diffraction. IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (2022).

• E. R. M. Heremans, H. Phan, A. H. Ansari, P. Borzée, B. Buyse, D. Testelmans, and M. De Vos. Feature matching as improved transfer learning technique for wearable EEG. Biomedical Signal Processing and Control (BSPC): 78, 104009, 2022 [Paper] [Preprint].

• H. Phan, A. Mertins, and M. Baumert. Pediatric automatic sleep staging: A comparative study of state-of-the-art deep learning methods. IEEE Transactions on Biomedical Engineering (TBME) (2022) [Paper] [Preprint].

• E. R. M. Heremans, H. Phan, P. Borzée, B. Buyse, D. Testelmans, and M. De Vos. From unsupervised to semi-supervised adversarial domain adaptation in EEG-based sleep staging. Journal of Neural Engineering (JNE): 19, 036044 (2022) [Paper].

• H. Phan and K. Mikkelsen. Automatic sleep staging of EEG signals: Recent development, challenges, and future directions. Physiological Measurement: 43(4), 04TR01 (2022) [Paper] [Preprint].

• M. Comunità, H. Phan, and J. D. Reiss. Neural synthesis of footsteps sound effects with generative adversarial networks. In Proc. 152nd International Audio Engineering Convention, 10583 (2022) [Paper] [Preprint].

• H. Phan, T. N. T. Nguyen, P. Koch, and A. Mertins. Polyphonic audio event detection: Multi-label or multi-class classification problem? In Proc. 47th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 8877-8881 (2022) [Paper] [Preprint].

• T. N. T. Nguyen, D. L. Jones, K. N. Watcharasupat, H. Phan, and W.-S. Gan. SALSA-Lite: A fast and effective feature for polyphonic sound event localization and detection with microphone arrays. In Proc. 47th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 716-720 (2022) [Paper] [Preprint].

• H. Phan, K. B. Mikkelsen, O. Y. Chén, P. Koch, A. Mertins, and M. De Vos. SleepTransformer: Automatic sleep staging with interpretability and uncertainty quantification. IEEE Transactions on Biomedical Engineering (TBME): 69(8), 2456-2467 (2022) [Paper] [Preprint].

• P. Autthasan, R. Chaisaen, T. Sudhawiyangkul, P. Rangpong, S. Kiatthaveephong, N. Dilokthanakul, G. Bhakdisongkhram, H. Phan, C. Guan, and T. Wilaiprasitporn. MIN2Net: End-to-end multi-task learning for subject-independent motor imagery EEG classification. IEEE Transactions on Biomedical Engineering (TBME): 69(6), 2105-2118 (2022) [Paper] [Preprint].

• K. B. Mikkelsen, H. Phan, M. L. Rank, M. C. Hemmsen, M. de Vos, and P. Kidmose. Sleep monitoring using ear-centered setups: Investigating the influence from electrode configurations. IEEE Transactions on Biomedical Engineering (TBME): 69(5), 1564-1572 (2022) [Paper] [Preprint].

• V.-D. Nguyen, A. Mansour, A. Coatanhay and T. Marsault.  A generalized recursive Vogler algorithm for multiple bridged knife-edge diffraction. IEEE Transactions on Antennas and Propagation (TAP) (2022) [Paper].

• V.-D. Nguyen, N. Linh Trung, K. Abed-Meraim. Robust subspace tracking algorithms using fast adaptive Mahalanobis distance. Signal Processing: 195, 108402, ISSN 0165-1684 (2022) [Paper].

• Akkad, G., V.-D. Nguyen, and Mansour, A. GpLMS: Generalized Parallel Least Mean Square Algorithm for Partial Observations. In Intelligent Decision Technologies: Proceedings of the 14th KES-IDT 2022 Conference (pp. 441-448). Singapore: Springer Nature Singapore (2022).

• Duy, T.T., Nguyen, L.V., V.-D. Nguyen, Trung, N.L. and Abed-Meraim, K. Fisher Information Neural Estimation. In 2022 30th European Signal Processing Conference (EUSIPCO) (pp. 2111-2115). IEEE. (2022).

2021

• OY Chén, R. Saraiva, G. Nagels, H. Phan, T. Schwantje, H. Cao, J. Gou, J. Reinen, B. Xiong, and M. de Vos. Thou shalt not reject the P-value. arXiv 2002.07270 (2021) [Paper].

• OY Chén, H. Phan, H. Cao, T. Qian, and M. de Vos. Probing potential priming: Defining, quantifying, and testing the causal priming effect using the potential outcomes framework. Frontiers in Psychology 13, 724498 (2022) [Paper].

• OY Chén, H. Cao, H. Phan, J. Reinen, J. Gou, J. Di, T. Qian, J. Prince, T. Cannon, and M. de Vos. Identifying neural signatures mediating behavioral symptoms and psychosis onset: High-dimensional whole brain functional mediation analysis. NeuroImage 226, 117508 (2021) [Paper][Supp. Materials].

• OY Chén and B. Roberts. Personalized healthcare and public health in the digital age. Frontiers in Digital Health 3, 595704 (2021) [Paper] [Longer version].

• T. T. H. Duong, P.-L. Nguyen, H.-S. Nguyen, D.-C. Nguyen, H. Phan, and N. Q. K. Duong. Speaker count: A new building block for speaker diarization. In Proc. 3th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 1149-1155 (2021) [Paper].

• P. Koch, K. Mohammad-Zadeh, M. Maass, M. Dreier, O. Thomsen, T. J. Parbs, H. Phan, and A. Mertins. sEMG-based hand movement regression via prediction of joint angles. In Proc. 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 6519-6523 (2021) [Paper].

• L. Pham, H. Phan, A. Schindler, R. King, A. Mertins, and I. McLoughlin. Inception-based network and multi-spectrogram ensemble applied to predicting respiratory anomalies and lung diseases. In Proc. 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 253-256 (2021) [Paper] [Preprint].

• H. Phan, H. L. Nguyen, OY Chén, L. Pham, P. Koch, I. McLoughlin, and A. Mertins. Multi-view audio and music classification. In Proc. 46th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 611-615 (2021) [Paper] [Preprint].

• H. Phan, H. L. Nguyen, OY Chén, P. Koch, N. Q. K. Duong, I. McLoughlin, and A. Mertins. Self-attention generative adversarial network for speech enhancement. In Proc. 46th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 7103-7107 (2021) [Paper] [Preprint] [Code].

• T. N. T. Nguyen, N. K. Nguyen, H. Phan, L. Pham, K. Ooi, D. L. Jones, and W.-S. Gan. A general network architecture for sound event localization and detection using transfer learning and recurrent neural network. In Proc. 46th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 935-939 (2021) [Paper] [Preprint] [Code].

• H. Phan, OY Chén, Minh C. Tran, P. Koch, A. Mertins, and M. De Vos. XSleepNet: Multi-view sequential model for automatic sleep staging. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (2021) [Paper] [Preprint] [Code].

• V.-D. Nguyen, H. Phan, A. Mansour, A. Coatanhay, and T. Marsault. On the proof of recursive Vogler algorithm for multiple knife-edge diffraction. IEEE Transactions on Antennas and Propagation (TAP): 69(9), 3617-3622 (2021) [Paper].

• V.-D. Nguyen, A. Mansour, A. Coatanhay, and T. Marsault. A fast recursive algorithm for multiple bridged knife-edge diffraction.  In Proc. 30th European Signal Processing Conference (EUSIPCO) (2021).

• L. T. Thanh, V.-D. Nguyen, N. L. Trung and K. Abed-Meraim. Robust subspace tracking with missing data and outliers: Novel algorithm with convergence guarantee. In IEEE Transactions on Signal Processing (TSP), vol. 69, pp. 2070-2085 (2021) [Paper] [Preprint] [Code].

• N. Banluesombatkul, P. Ouppaphan, P. Leelaarporn, P. Lakhan, B. Chaitusaney, N. Jaimchariyatam, E. Chuangsuwanich, W. Chen, H. Phan, N. Dilokthanakul, and T. Wilaiprasitporn. MetaSleepLearner: A pilot study on fast adaptation of bio-signals-based sleep stage classifier to new individual subject using meta-learning. IEEE Journal of Biomedical and Health Informatics (JBHI): 25(6), 1949-1963 (2021) [Paper] [Preprint] [Code].

• L. Pham, H. Phan, R. Palaniappan, A. Mertins, and I. McLoughlin. CNN-MoE based framework for classification of respiratory anomalies and lung disease detection. IEEE Journal of Biomedical and Health Informatics (JBHI): 25(8), 2938-2947 (2021) [Paper] [Preprint].

• H. Phan, OY Chén, P. Koch, Z. Lu, I. McLoughlin, A. Mertins, and and M. De Vos. Towards more accurate automatic sleep staging via deep transfer learning. IEEE Transactions on Biomedical Engineering (TBME): 68(6), 1787-1798 (2021) [Paper] [Preprint] [Code].

• L. Pham, H. Phan, T. Nguyen, R. Palaniappan, A. Mertins, and I. McLoughlin. Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework. Digital Signal Processing: 110, 102943 (2021) [Paper].

2020

• OY Chén, H. Phan, G. Nagel, and M. de Vos. On statistical analysis of brain variability. Preprints 202008.0428.v1 (2020) [Paper].

• OY Chén. Big data in omics and imaging: Integrated analysis and causal inference. The Journal of the American Statistical Association 115, 487-488 (2020) [Paper].

• OY Chén, F. Lipsmeier, H. Phan, J. Prince, K.I. Taylor, M. Lindemann, C. Gossens, and M. de Vos. Building a machine-learning framework to remotely assess Parkinson’s disease using smartphones. IEEE Transactions on Biomedical Engineering (TBME): 67(12), 3491-3500 (2020) [Paper].

• 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. In Proc. 5th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE), (2020) [Paper].

• H. Phan, I. V. McLoughlin, L. Pham, OY Chén, P. Koch, M. De Vos, and A. Mertins. Improving GANs for speech enhancement. IEEE Signal Processing Letters: 27, 1700-1704, (2020) [Paper] [Preprint] [Code].

• P. Koch, M. Dreier, M. Maass, H. Phan, and A. Mertins. RNN with stacked architecture for sEMG based sequence-to-sequence hand gesture recognition. In Proc. 28th European Signal Processing Conference (EUSIPCO), 1600-1604 (2020) [Paper].

• L. Pham, I. McLoughlin, H. Phan, M. Tran, T. Nguyen, R. Palaniappan. Robust deep learning framework for predicting respiratory anomalies and diseases. In Proc. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 164-167 (2020) [Paper] [Preprint].

• 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. In Proc. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 3783-3787 (2020) [Paper].

• L. Pham, I. McLoughlin, H. Phan, R. Palaniappan, A. Mertins. Deep feature embedding and hierarchical classification for audio scene classification. In Proc. 2020 International Joint Conference on Neural Networks (IJCNN), (2020) [Paper] [Preprint].

• H. Phan, K. Mikkelsen, OY 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: 41, 064004, (2020) [Paper].

• V.-D. Nguyen, H. Phan, A. Mansour, and A. Coatanhay. VoglerNet: Multiple knife-edge diffraction using deep neural network. In Proc. 14th European Conference on Antennas and Propagation (EuCAP), 1-5 (2020) [Paper].

• 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), 1672–1687 (2020) [Paper].

2019

• OY Chén. The roles of statistics in human neuroscience. Brain Sci. 9, 194 (2019) [Paper] [Erratum].

• OY 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. Scientific Reports 9, 3879 (2019) [Paper].

• S. Zeki and OY Chén. The Bayesian-Laplacian brain. European Journal of Neuroscience 51, 1441-1462 (2019) [Paper].

• H. Phan, F. Andreotti, N. Cooray, OY 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), 400-410 (2019) [Paper] [Code]. 

• H. Phan, OY Chén, L. Pham, P. Koch, M. De Vos, I. McLoughlin, and A. Mertins. Spatio-temporal attention pooling for audio scene classification. In Proc. 20th Annual Conference of the International Speech Communication Association (INTERSPEECH), 3845-3849 (2019) [Paper].

• L. Pham, I. McLoughlin, H. Phan, and R. Palaniappan. A robust framework for acoustic scene classification. In Proc. 20th Annual Conference of the International Speech Communication Association (INTERSPEECH), 3634-3638 (2019) [Paper].

• H. Phan, OY Chén, P. Koch, A. Mertins, and M. De Vos. Deep transfer learning for single-channel automatic sleep staging with channel mismatch. In Proc. 27th European Signal Processing Conference (EUSIPCO), (2019) [Paper].

• P. Koch, M. Dreier, M. Böhme, M. Maass, H. Phan, and A. Mertins. Inhomogeneously stacked RNN for recognizing hand gestures from magnetometer data. In Proc. 27th European Signal Processing Conference (EUSIPCO), (2019) [Paper].

• H. Phan, OY Chén, P. Koch, A. Mertins, and M. De Vos. Fusion of end-to-end deep learning models for sequence-to-sequence sleep staging. In Proc. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 1829-1833 (2019) [Paper].

• 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. In Proc. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 5088-5091 (2019) [Paper].

• H. Phan, OY 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? In Proc. 2019 AES Conference on Audio Forensics, 16 (2019) [Paper] [Preprint].

• L. Pham, I. McLoughlin, H. Phan, R. Palaniappan, and Y. Lang. Bag-of-features models based on C-DNN network for acoustic scene classification. In Proc. 2019 AES Conference on Audio Forensics, 12 (2019) [Paper].

• H. Phan, OY 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. In Proc. 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 51-55 (2019) [Paper].

• P. Koch, N. Brügge, H. Phan, M. Maass, and A. Mertins. Forked recurrent neural network for hand gesture classification using inertial measurement data. In Proc. 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2877-2881 (2019) [Paper].

• H. Phan, F. Andreotti, N. Cooray, OY Chén, and M. De Vos. Joint classification and prediction CNN framework for automatic sleep stage classification. IEEE Transactions on Biomedical Engineering (TBME): 66(5), 1285-1296 (2019) [Paper] [Code].

• V.-D. Nguyen, M. Di Renzo, V. Basavarajappa, B. Bedia Exposito, J. Basterrechea and D.-T. Phan-Huy. Spatial modulation based on reconfigurable antennas: Performance evaluation by using the prototype of a reconfigurable antenna. EURASIP Journal on Wireless Communications and Networking, (2019) [Paper].

• L. Trung Thanh, N. Thi Anh-Dao, V.-D. Nguyen, N. Linh-Trung, and K. Abed-Meraim. Multi-channel EEG epileptic spike detection by a new method of tensor decomposition. Journal of Neural Engineering: 17(1) (2019) [Paper].

• L. Trung Thanh, V.-D. Nguyen, N. Linh-Trung, and K. Abed-Meraim. Robust subspace tracking with missing data and outliers via ADMM. In Proc. 27th European Signal Processing Conference (EUSIPCO), (2019).

• V.-D. Nguyen, M. Di Renzo, A. Mansour,  A. Coatanhay and N. Linh-Trung. A closed-form expression of the BER of reconfigurable antenna aided Space Shift Keying (SSK). In Proc. International Symposium on Communications and Information Technologies (ISCIT) (2019).

Before 2018

• OY Chén, E. Ogburn, C. Crainiceanu, B. Caffo, T. Wager, and M. Lindquist. High-dimensional multivariate mediation with application to neuroimaging data. Biostatistics 19, 121–136 (2015) [Paper] [Asymptotic Theory][Code].

• OY Chén, L. Xiao, B. Caffo, M. Lindquist, J. Schrack, L. Ferrucci, and C. Crainiceanu. A longitudinal functional data analysis for underlying daily physical activity change. (2015) [Paper].

• OY Chén and M.A. Jacroux. On the use of semi-folding in regular blocks two-level factorial designs. Communications in Statistics - Theory and Methods 44, 2473-2506 (2015) [Paper].

• OY Chén and J. Di. Penalised iterative sparse partial correlation estimation (Π-SPaCE) - with an application to whole-brain graph estimation. (2021+)

• OY Chén. The generative representational similarity analysis. (2021+)

• H. Cao, OY Chén, Y. Chung, S.C. McEwen, C.E. Bearden, J. Addington, B. Goodyear, K.S. Cadenhead, H. Mirzakhanian, B.A. Cornblatt, D.M. Olvet, D.H. Mathalon, T.H. McGlashan, D.O. Perkins, A. Belger, L.J. Seidman, H. Thermenos, M.T. Tsuang, T.G.M. van Erp, E.F. Walker, S. Hamann, A. Anticevic, S.W. Woods, and T.D. Cannon. Cerebello-thalamo-cortical hyperconnectivity: A state-independent functional neural signature for psychosis prediction and characterization. Nature Communications 9, 3836 (2018) [Paper][Supp. Materials].

• J. Reinen, OY Chén, J. Baker, T. Yeo, K. Anderson, R. Hutchison, M. Sabuncu, D. Öngür, J. Roffman, J. Smoller, and A. Holmes. The human cerebral cortex possesses a reconfigurable dynamic network architecture that is disrupted in psychotic illness. Nature Communications 9, 1157 (2018) [Paper] [Supp. Materials].

• S. Denissen, OY Chén, J. de Mey, M. de Vos, J. Van Schependom, D. Sima, and G. Nagels. Towards multimodal machine learning prediciton of individual cognitive evolution in multiple sclerosis. Journal of Personalized Medicine (2021) [Paper].

• J. Gou and OY Chén. Critical boundary refinement in a group sequential trial when the primary endpoint data accumulate faster than the secondary endpoint. In ICSA Book Series in Statistics. Springer, Berlin, Germany (2018) [Chapter] [Book].

• S. Zeki, OY Chén, and J. Romaya. The biological basis of mathematical beauty. Frontiers in Human Neuroscience 12, 467 (2018) [Paper].

• H. Cao H, OY Chén, S.C. McEwen, Y. Chung, C.E. Bearden, J. Addington, B. Goodyear, K.S. Cadenhead, H. Mirzakhanian, B.A. Cornblatt, D.M. Olvet, D.H. Mathalon, T.H. McGlashan, D.O. Perkins, A. Belger, L.J. Seidman, H. Thermenos, M.T. Tsuang, T.G.M. van Erp, E.F. Walker, S. Hamann, A. Anticevic, S.W. Woods, and T.D. Cannon. Altered brain activation during memory retrieval precedes and predicts conversion to psychosis in individuals at clinical high risk. Schizophrenia Bulletin 45, 924-933 (2018) [Paper].

• H. Cao, OY Chén, S. McEwen, J. Forsyth, G. Dylan, C. Bearden, J. Addington, B. Goodyear, K. Cadenhead, H. Mirzakhanian, B. Cornblatt, R. Carrión, D. Mathalon, T. McGlashan, D. Perkins, A. Belger, H. Thermenos, M. Tsuang, T. van Erp, E. Walker, S. Hamann, A. Anticevic, S. Wood, and T.D. Cannon. Cross-paradigm connectivity: Reliabiltiy, stability, and utility. Brain Imaging and Behavior (2020) [Paper].

• I. McLoughlin, Y. Song, L. Pham, R. Palaniappan, H. Phan, Y. Lang. Early detection of continuous and partial audio events using CNN. In Proc. 19th Annual Conference of the International Speech Communication Association (INTERSPEECH), 3314-3318 (2018) [Paper].

• 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 Proc. 26th European Signal Processing Conference (EUSIPCO), (2018) [Paper].

• F. Andreotti, H. Phan, M. De Vos. Visualising convolutional neural network decisions in automatic sleep scoring. In Proc. Joint Workshop on Artificial Intelligence in Health (AIH), (2018) [Paper].

• H. Phan, F. Andreotti, N. Cooray, OY Chén, and M. De Vos. Automatic sleep stage classification using single-channel EEG: Learning sequential features with attention-based recurrent neural networks. In Proc. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 1452-1455 (2018) [Paper].

• H. Phan, F. Andreotti, N. Cooray, OY Chén, and M. De Vos. DNN filter bank improves 1-max pooling CNN for single-channel EEG automatic sleep stage classification. In Proc. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 453-456, 2018 [Paper].

• 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 Proc. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 171-174 (2018) [Paper].

• P. Koch, H. Phan, M. Maass, F. Katzberg, and A. Mertins. Recurrent neural network based early prediction of future hand movements. In Proc. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), (2018) [Paper].

• 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), 141-145 (2018) [Paper].

• H. Phan, M. Krawczyk-Becker, T. Gerkmann, and A. Mertins. Weighted and multi-task loss for rare audio event detection. In Proc. 43rd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 336-340 (2018) [Paper].

• 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), e0182309 (2017) [Paper].

• 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), 1278-1290 (2017) [Paper] [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), 1706005 (2017) [Paper].

• H. Phan, P. Koch, F. Katzberg, M. Maass, R. Mazur, I. McLoughlin, and A. Mertins. What makes audio event detection harder than classification? In Proc. 25th European Signal Processing Conference (EUSIPCO), 2739-2743 (2017) [Paper].

• H. Phan, P. Koch, F. Katzberg, M. Maass, R. Mazur, and A. Mertins. Audio scene classification with deep recurrent neural networks. In Proc. 18th Annual Conference of the International Speech Communication Association (INTERSPEECH), 3043-3047 (2017) [Paper] [Code].

• P. Koch, H. Phan, M. Maass, F. Katzberg, and A. Mertins. Early prediction of future hand movements using sEMG data. In Proc. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 54-57 (2017) [Paper].

• 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 Proc. 42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 136-140 (2017) [Paper] [Code].

• R. Mazur, F. Katzberg, H. Phan, and A. Mertins. Room equalization based on measurements of moving microphones. In Proc. 5th Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA), 121-125 (2017) [Paper].

• 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), 807-822 (2016) [Paper].

• 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), 1607002 (2016) [Paper].

• H. Phan, L. Hertel, M. Maass, P. Koch, and A. Mertins. Label tree embeddings for acoustic scene classification. In Proc. 24th ACM Multimedia (ACMMM), 486-490 (2016) [Paper] [Code].

• H. Phan, L. Hertel, M. Maass, and A. Mertins. Robust audio event recognition with 1-max pooling convolutional neural networks. In Proc. 17th Annual Conference of the International Speech Communication Association (INTERSPEECH), 3653-3657 (2016) [Paper] [Code].

• L. Hertel, H. Phan, and A. Mertins. Comparing time and frequency domain for audio event recognition using deep learning. In Proc. IEEE International Joint Conference on Neural Networks (IJCNN), 3407-3411 (2016) [Paper].

• H. Phan, M. Maass, L. Hertel, R. Mazur, I. McLoughlin, and A. Mertins. Learning compact structural representations for audio events using regressor banks. In Proc. 41st IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 211-215 (2016) [Paper].

• 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), 20-31 (2015) [Paper] [Code].

• M. Maass, H. Phan, A. Möller, and A. Mertins. Cosine-sine modulated filter banks for motion estimation and correction. In Proc. International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS), 195-204 (2015) [Paper].

• H. Phan, M. Maass, L. Hertel, R. Mazur, and A. Mertins. A multi-channel fusion framework for audio event detection. In Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 1-5 (2015) [Paper].

• H. Phan, L. Hertel, M. Maass, R. Mazur, and A. Mertins. Representing nonspeech audio signals through speech classification models. In Proc. 16th Annual Conference of the International Speech Communication Association (INTERSPEECH), 3441-3445 (2015) [Paper].

• H. Phan, L. Hertel, M. Maass, R. Mazur, and A. Mertins. Audio phrases for audio event recognition. In Proc. 23rd European Signal Processing Conference (EUSIPCO), 2546-2550 (2015) [Paper].

• R. Mazur, H. Phan, and A. Mertins. A clustering approach for solving the spatial aliasing problem in convolutive blind source separation. In Proc. 20th International Conference on Digital Signal Processing (DSP), 679-683 (2015).

• H. Phan, M. Maass, R. Mazur, and A. Mertins. Early event detection in audio streams. In Proc. IEEE International Conference on Multimedia and Expo (ICME), 1-6 (2015) [Paper]. 

• H. Phan, M. Maass, R. Mazur, and A. Mertins. Acoustic event detection and localization with regression forests. In Proc. 15th Annual Conference of the International Speech Communication Association (INTERSPEECH), 2524-2528 (2014) [Paper] [Demo].

• H. Phan and A. Mertins. Exploring superframe co-occurrence for acoustic event recognition. In Proc. 22nd European Signal Processing Conference (EUSIPCO), 631-635 (2014) [Paper].

• M. Maass, H. Phan, and A. Mertins. Design of cosine-sine modulated filter banks without DC leakage. In Proc. 19th International Conference on Digital Signal Processing (DSP), 486-491 (2014) [Paper].

• OY Chén. A generalized and drifting time corrected approach using Wiener-Granger causality and VAR(p) process for detecting high-dimensional directed functional communication between brain regions and predicting behavior.

• N. Dasgupta, OY Chén, R. Basu, and S.S. Daoud. Unsupervised learning methods to proteomic data from colon cancer. In Contemporary Topics in Mathematics and Statistics with Applications. New Delhi, India (2013) [Chapter].

• N. Dasgupta, OY Chén, R. Basu, and S.S. Daoud. Comparison of clustering algorithms: An example with proteomic data. Advances and Applications in Statistics 33, 63 (2013) [Paper].

• N. Dasgupta, OY Chén, R. Basu, and S.S. Daoud. Comparison of methods for unsupervised learning methods – an applied study using proteomic data from colon cancer and simulations. In CIAS, Indian Statistical Institute (2012).

• V.-D. Nguyen, K. Abed-Meraim, N. Linh-Trung, R. Weber. Generalized minimum noise subspace for array processing. IEEE Transactions on Signal Processing (2017) [Paper].

• V.-D. Nguyen, K. Abed-Meraim, N. Linh-Trung, R. Weber. Second-order optimization based adaptive PARAFAC decomposition of three-way tensors. Digital Signal Processing (2017) [Paper].

• V.-D. Nguyen, K. Abed-Meraim, N. Linh-Trung. New robust algorithms for sparse non-negative three-way tensor decompositions. In European Signal Processing Conference (EUSIPCO) (2016).

• V.-D. Nguyen, K. Abed-Meraim, N. Linh-Trung. Fast adaptive PARAFAC decomposition algorithm with linear complexity. In International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2016).

• A. Boudjellal, V.-D. Nguyen, K. Abed-Meraim, A. Belouchrani, P. Ravier. Time-frequency sparsity prior impact on the localization performance. In European Signal Processing Conference (EUSIPCO) (2016).

• V.-D. Nguyen, K. Abed-Meraim, N. Linh-Trung. Parallelizable PARAFAC decomposition of 3-way tensors. In International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2015).

• V.-D. Nguyen, K. Abed-Meraim, N. Linh-Trung, R. Weber. Generalized MNS method for parallel minor and principal subspace analysis. In European Signal Processing Conference (EUSIPCO) (2014).