Oliver Y. Chén

48 papers A* 2A 1Misc 4Journal 35Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generative Model via Quantile Assignment.
CoRR
Georgi Hrusanov, Oliver Y. Chén, Julien S. Bodelet
2026 J jnl
OPTIMUS: Predicting Multivariate Outcomes in Alzheimer's Disease Using Multi-Modal Data Amidst Missing Values.
IEEE Trans. Biomed. Eng.
Christelle Schneuwly Diaz, Duy-Thanh Vu, Julien S. Bodelet, Duy-Cat Can, Guillaume Blanc, Haiteng Jiang, Lin Yao, Guiseppe Pantaleo, Oliver Y. Chén
2025 J jnl
Explainable Graph-theoretical Machine Learning: with Application to Alzheimer's Disease Prediction.
CoRR
Narmina Baghirova, Duy-Thanh Vu, Duy-Cat Can, Christelle Schneuwly Diaz, Julien S. Bodelet, Guillaume Blanc, Georgi Hrusanov, Bernard Ries, Oliver Y. Chén
2025 A* conf
MUDI: A Multimodal Biomedical Dataset for Understanding Pharmacodynamic Drug-Drug Interactions.
ACM Multimedia
Tung-Lam Ngo, Ba-Hoang Tran, Duy-Cat Can, Trung-Hieu Do, Oliver Y. Chén, Hoang-Quynh Le
2025 J jnl
MUDI: A Multimodal Biomedical Dataset for Understanding Pharmacodynamic Drug-Drug Interactions.
CoRR
Tung-Lam Ngo, Ba-Hoang Tran, Duy-Cat Can, Trung-Hieu Do, Oliver Y. Chén, Hoang-Quynh Le
2025 J jnl
OPTIMUS: Predicting Multivariate Outcomes in Alzheimer's Disease Using Multi-modal Data amidst Missing Values.
CoRR
Christelle Schneuwly Diaz, Duy-Thanh Vu, Julien S. Bodelet, Duy-Cat Can, Guillaume Blanc, Haiting Jiang, Lin Yao, Guiseppe Pantaleo, Adni, Oliver Y. Chén
2025 J jnl
Physics-Informed Neural Koopman Machine for Interpretable Longitudinal Personalized Alzheimer's Disease Forecasting.
CoRR
Georgi Hrusanov, Duy-Thanh Vu, Duy-Cat Can, Sophie Tascedda, Margaret Ryan, Julien S. Bodelet, Katarzyna Koscielska, Carsten Magnus, Oliver Y. Chén
2025 A* conf
REMEMBER: Retrieval-based Explainable Multimodal Evidence-guided Modeling for Brain Evaluation and Reasoning in Zero- and Few-shot Neurodegenerative Diagnosis.
ACM Multimedia
Duy-Cat Can, Quang-Huy Tang, Huong Ha, Binh T. Nguyen, Oliver Y. Chén
2025 J jnl
REMEMBER: Retrieval-based Explainable Multimodal Evidence-guided Modeling for Brain Evaluation and Reasoning in Zero- and Few-shot Neurodegenerative Diagnosis.
CoRR
Duy-Cat Can, Quang-Huy Tang, Huong Ha, Binh T. Nguyen, Oliver Y. Chén
2025 J jnl
VisTA: Vision-Text Alignment Model with Contrastive Learning using Multimodal Data for Evidence-Driven, Reliable, and Explainable Alzheimer's Disease Diagnosis.
CoRR
Duy-Cat Can, Linh D. Dang, Quang-Huy Tang, Dang Minh Ly, Huong Ha, Guillaume Blanc, Oliver Y. Chén, Binh T. Nguyen
2024 J jnl
Enhancing Uncertain Demand Prediction in Hospitals Using Simple and Advanced Machine Learning.
CoRR
Annie Hu, Samuel Stockman, Xun Wu, Richard Wood, Bangdong Zhi, Oliver Y. Chén
2024 — conf
Tensor Kernel Learning for Classification of Alzheimer's Conditions using Multimodal Data.
MAPR
Duy Thanh Vu, Le Trung Thanh, Pham Minh Tuan, Nguyen Linh Trung, Karim Abed-Meraim, Mouloud Adel, Viet-Dung Nguyen, Nguyen Thanh Trung, Dinh Doan Long, Oliver Y. Chén
2023 Misc conf
Improving Automatic Sleep Staging Via Temporal Smoothness Regularization.
ICASSP
Huy Phan, Elisabeth R. M. Heremans, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
2023 J jnl
L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging.
IEEE J. Biomed. Health Informatics
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
2023 J jnl
L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging.
CoRR
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
2023 J jnl
Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones.
IEEE J. Biomed. Health Informatics
Oliver Y. Chén, Florian Lipsmeier, Huy Phan, Frank Dondelinger, Andrew P. Creagh, Christian Gossens, Michael Lindemann, Maarten De Vos
2023 — conf
The Statistical Analysis of the Varying Brain.
SSP
Oliver Y. Chén, Duy Thanh Vu, Gilbert Greub, Hengyi Cao, Xingru He, Yannick Muller, Constantinos Petrovas, Haochang Shou, Viet-Dung Nguyen, Bangdong Zhi, Laurent Perez, Jean Louis Raisaro, Guy Nagels, Maarten De Vos, Wei He, Raphael Gottardo, Palie Smart, Marcus Munafò, Giuseppe Pantaleo
2023 J jnl
The roles, challenges, and merits of the p value.
Patterns
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, Xiaojun Wang, Maarten De Vos
2022 J jnl
SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification.
IEEE Trans. Biomed. Eng.
Huy Phan, Kaare B. Mikkelsen, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
2022 J jnl
Uniting Machine Intelligence, Brain and Behavioural Sciences to Assist Criminal Justice.
CoRR
Oliver Y. Chén
2022 J jnl
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging.
IEEE Trans. Pattern Anal. Mach. Intell.
Huy Phan, Oliver Y. Chén, Minh C. Tran, Philipp Koch, Alfred Mertins, Maarten De Vos
2021 J jnl
Identifying neural signatures mediating behavioral symptoms and psychosis onset: High-dimensional whole brain functional mediation analysis.
NeuroImage
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
2021 Misc conf
Multi-View Audio And Music Classification.
ICASSP
Huy Phan, Huy Le Nguyen, Oliver Y. Chén, Lam Dang Pham, Philipp Koch, Ian McLoughlin, Alfred Mertins
2021 J jnl
Multi-view Audio and Music Classification.
CoRR
Huy Phan, Huy Le Nguyen, Oliver Y. Chén, Lam Dang Pham, Philipp Koch, Ian McLoughlin, Alfred Mertins
2021 J jnl
Personalized Health Care and Public Health in the Digital Age.
Frontiers Digit. Health
Oliver Y. Chén, Bryn Roberts
2021 Misc conf
Self-Attention Generative Adversarial Network for Speech Enhancement.
ICASSP
Huy Phan, Huy Le Nguyen, Oliver Y. Chén, Philipp Koch, Ngoc Q. K. Duong, Ian McLoughlin, Alfred Mertins
2021 J jnl
SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification.
CoRR
Huy Phan, Kaare B. Mikkelsen, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
2021 J jnl
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning.
IEEE Trans. Biomed. Eng.
Huy Phan, Oliver Y. Chén, Philipp Koch, Zongqing Lu, Ian McLoughlin, Alfred Mertins, Maarten De Vos
2020 J jnl
Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones.
IEEE Trans. Biomed. Eng.
Oliver Y. Chén, Florian Lipsmeier, Huy Phan, John Prince, Kirsten I. Taylor, Christian Gossens, Michael Lindemann, Maarten De Vos
2020 J jnl
Improving GANs for Speech Enhancement.
CoRR
Huy Phan, Ian Vince McLoughlin, Lam Dang Pham, Oliver Y. Chén, Philipp Koch, Maarten De Vos, Alfred Mertins
2020 J jnl
Improving GANs for Speech Enhancement.
IEEE Signal Process. Lett.
Huy Phan, Ian Vince McLoughlin, Lam Dang Pham, Oliver Y. Chén, Philipp Koch, Maarten De Vos, Alfred Mertins
2020 J jnl
Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization.
CoRR
Huy Phan, Kaare B. Mikkelsen, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Preben Kidmose, Maarten De Vos
2020 J jnl
Self-Attention Generative Adversarial Network for Speech Enhancement.
CoRR
Huy Phan, Huy Le Nguyen, Oliver Y. Chén, Philipp Koch, Ngoc Q. K. Duong, Ian McLoughlin, Alfred Mertins
2020 J jnl
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging.
CoRR
Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
2019 — conf
Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch.
EUSIPCO
Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
2019 J jnl
Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch.
CoRR
Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
2019 — conf
Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging.
EMBC
Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
2019 J jnl
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification.
IEEE Trans. Biomed. Eng.
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
2019 A conf
Spatio-Temporal Attention Pooling for Audio Scene Classification.
INTERSPEECH
Huy Phan, Oliver Y. Chén, Lam Dang Pham, Philipp Koch, Maarten De Vos, Ian McLoughlin, Alfred Mertins
2019 J jnl
Spatio-Temporal Attention Pooling for Audio Scene Classification.
CoRR
Huy Phan, Oliver Y. Chén, Lam Dang Pham, Philipp Koch, Maarten De Vos, Ian McLoughlin, Alfred Mertins
2019 J jnl
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning.
CoRR
Huy Phan, Oliver Y. Chén, Philipp Koch, Zongqing Lu, Ian McLoughlin, Alfred Mertins, Maarten De Vos
2019 Misc conf
Unifying Isolated and Overlapping Audio Event Detection with Multi-label Multi-task Convolutional Recurrent Neural Networks.
ICASSP
Huy Phan, Oliver Y. Chén, Philipp Koch, Lam Dang Pham, Ian McLoughlin, Alfred Mertins, Maarten De Vos
2018 — conf
Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks.
EMBC
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
2018 J jnl
Beyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene?
CoRR
Huy Phan, Oliver Y. Chén, Philipp Koch, Lam Dang Pham, Ian McLoughlin, Alfred Mertins, Maarten De Vos
2018 — conf
DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification.
EMBC
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
2018 J jnl
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification.
CoRR
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
2018 J jnl
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging.
CoRR
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
2018 J jnl
Unifying Isolated and Overlapping Audio Event Detection with Multi-Label Multi-Task Convolutional Recurrent Neural Networks.
CoRR
Huy Phan, Oliver Y. Chén, Philipp Koch, Lam Dang Pham, Ian McLoughlin, Alfred Mertins, Maarten De Vos