Oliver Yibing Chen

Publications | Phd and Masters theses

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58 publications

En préparation
Uniting Machine Intelligence, Brain and Behavioural Sciences to Assist Criminal Justice.
Chén Oliver Y.
[URN][serval:BIB_D2B7729FCF9B]
On Statistical Analysis of Brain Variability.
Chén Oliver Y, Phan Huy, Nagels Guy, de Vos Maarten.
[URN][serval:BIB_91CE28099425]
 
A Marginal Approach to Longitudinal Functional Data for Analyzing Daily Physical Activity Patterns.
Chén Oliver Y, Xiao Luo, Caffo Brian S, Lindquist Martin A, Schrack Jennifer A, Ferrucci Luigi, Crainiceanu Ciprian M.
[serval:BIB_0875374D383A]
Transfer Learning on Structural Brain Age Models to Decode Cognition in MS: A Federated Learning Approach.
Denissen Stijn, Grothe Matthias, Vaněčková Manuela, Uher Tomáš, Laton Jorne, Kudrna Matěj, Horáková Dana, Kirsch Michael, Motýl Jiří, de Vos Maarten et al..
[URN][DOI][serval:BIB_5EE9BB0E7EBE]
Enhancing Uncertain Demand Prediction in Hospitals Using Simple and Advanced Machine Learning
Hu Annie, Stockman Samuel, Wu Xun, Wood Richard, Zhi Bangdong, Chén Oliver Yibing.
[URN][DOI][serval:BIB_41415B955943]
 
Enhancing Hospital Capacity Management for Surge Demands by Integrating Machine Learning and Queueing Theory.
Stockman Sam, Hu Annie, Bangdong Zhi, Xun Wu, Wood Richard, Chén Oliver Y.
[serval:BIB_A6BAD5FCE815]
2024
 
HIV infection is associated with compromised tumor microenvironment adaptive immune reactivity in Hodgkin lymphoma.
Chantziou A., Brenna C., Ioannidou K., Chen O.Y., Korkolopoulou P., Antoniadou A., Psichogiou M., Papaioannou M., Tsirigotis P., Foukas P.G. et al., 2024/12/24. Blood advances, 8 (24) pp. 6215-6231. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_D343689440C2]
Follicular Bcl6 reactivity is associated with a unique immune landscape and spatial transcriptome in COVID-19
Brenna Cloe, Bernat Bramon Mora, Ioannidou Kalliopi, Burgermeister Simon, Bodelet Julien, Siebmanns Mia, Georgakis Spiros, Orfanakis Michail, Sédille Nazanin, Feinstein Matthew J et al., 2024/11/08..
[URN][DOI][serval:BIB_42C1DF425E27]
Tensor Kernel Learning for Classification of Alzheimer's Conditions using Multimodal Data
Thanh Vu Duy, Trung Le Thanh, Tuan Pham Minh, Linh Trung Nguyen, Abed-Meraim Karim, Adel Mouloud, Dung Nguyen Viet, Thanh Trung Nguyen, Long Dinh Doan, Chén Oliver Y., 2024/08/15. 2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR), 12 pp. 1-6. Peer-reviewed.
[URN][DOI][serval:BIB_8222D34D7812]
Follicular Immune Landscaping Reveals a Distinct Profile of FOXP3<sup>hi</sup>CD4<sup>hi</sup> T Cells in Treated Compared to Untreated HIV.
Georgakis S., Orfanakis M., Brenna C., Burgermeister S., Del Rio Estrada P.M., González-Navarro M., Torres-Ruiz F., Reyes-Terán G., Avila-Rios S., Luna-Villalobos Y.A. et al., 2024/08/12. Vaccines, 12 (8). Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_6F34C11CEE24]
 
On the Relationship Between the Vogler Algorithm Derivation and the Parabolic Equation for Multiple Knife-Edge Diffraction
Nguyen Viet-Dung, Phan Huy, Chén Oliver Y., Mansour Ali, Coatanhay Arnaud, Marsault Thierry, 2024/05. IEEE Transactions on Antennas and Propagation, 72 (5) pp. 4682-4686. Peer-reviewed.
[DOI][WoS][serval:BIB_B7A8119F3821]
Residual Partial Least Squares Learning: Brain Cortical Thickness Simultaneously Predicts Eight Non-pairwise-correlated Behavioural and Disease Outcomes in Alzheimer's Disease.
Chén O.Y., Vũ D.T., Diaz C.S., Bodelet J.S., Phan H., Allali G., Nguyen V.D., Cao H., He X., Müller Y. et al., 2024/03/27..
[URN][DOI][Pmid][serval:BIB_3B332933DA5C]
 
Extending Multiple Testing with Unknown Test Dependency via the CoCo Test: With Applications to Cancer Studies.
Gou Jiangtao, Wu Kai, Chén Oliver Y, 2024..
[serval:BIB_9F35DD74CF00]
Residual Partial Least Squares Learning: Brain Cortical Thickness Simultaneously Predicts Eight Non-pairwise-correlated Behavioural and Disease Outcomes in Alzheimer’s Disease
Chén Oliver Y, Vu Duy Thanh, Diaz Christelle Schneuwly, Bodelet Julien, Phan Huy, Allali Gilles, Nguyen Viet-Dung, Cao Hengyi, He Xingru, Muller Yannick et al., 2024..
[URN][DOI][serval:BIB_DE5854C92A82]
2023
Statistical Quantile Learning for Large, Nonlinear, and Additive Latent Variable Models.
Bodelet Julien, Blanc Guillaume, Shan Jiajun, Terrera Graciela M., Chén Oliver Y, 2023/12/29..
[URN][DOI][serval:BIB_0622E4AB21A0]
The Roles, Challenges, and Merits of the p Value.
Chén Oliver Y, Bodelet Julien S, Saraiva Raúl G, Phan Huy, Di Junrui, Nagels Guy, Schwantje Tom, Cao Hengyi, Gou Jiangtao, Reinen Jenna M et al., 2023/12/08. Patterns, 4 (12) p. 100878. Peer-reviewed.
[URN][DOI][Pmid][serval:BIB_D084688E0A6D]
Human secondary lymphoid organ immune landscaping revealed by multiplex imaging analysis
Orfanakis Michail, Georgakis Spiros, Brenna Cloé, Fenwick Craig, Pantaleo Giuseppe, Chén Oliver Y., Konstantinos Petrovas (eds.), 2023/11..
[URN][serval:BIB_935D3963D92A]
 
L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging.
Phan H., Lorenzen K.P., Heremans E., Chén Oliver Y, Tran M.C., Koch P., Mertins A., Baumert M., Mikkelsen K.B., de Vos M., 2023/10. IEEE journal of biomedical and health informatics, 27 (10) pp. 4748-4757. Peer-reviewed.
[DOI][Pmid][serval:BIB_9BE4A24B8351]
The Statistical Analysis of the Varying Brain.
Chén Oliver Y., Thanh Vũ Duy, Greub Gilbert, Cao Hengyi, He Xingru, Muller Yannick, Petrovas Constantinos, Shou Haochang, Nguyen Viet-Dung, Zhi Bangdong et al., 2023/07/02. IEEE Statistical Signal Processing (SSP). Peer-reviewed.
[URN][DOI][WoS][serval:BIB_C6B3B6AA1F8B]
Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones.
Chén Oliver Y, Lipsmeier F., Phan H., Dondelinger F., Creagh A., Gossens C., Lindemann M., de Vos M., 2023/07. IEEE journal of biomedical and health informatics, 27 (7) pp. 3633-3644. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_E9CEFF2B9677]
Improving Automatic Sleep Staging Via Temporal Smoothness Regularization.
Phan Huy, Heremans Elisabeth, Chén Oliver Y., Koch Philipp, Mertins Alfred, De Vos Maarten, 2023/06/04. dans ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Peer-reviewed, IEEE.
[DOI][serval:BIB_9C520F6DD4B4]
 
Brain Cortical Thickness Predicts Outcomes in Alzheimer’s Disease.
Chén Oliver Y. et al., 2023..
[serval:BIB_088C64508490]
2022
 
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging.
Phan H., Chén Oliver Y, Tran M.C., Koch P., Mertins A., De Vos M., 2022/09. IEEE transactions on pattern analysis and machine intelligence, 44 (9) pp. 5903-5915. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_0F6F075478F3]
 
SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification.
Phan H., Mikkelsen K., Chén Oliver Y, Koch P., Mertins A., De Vos M., 2022/08. IEEE transactions on bio-medical engineering, 69 (8) pp. 2456-2467. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_899B6B36D6A0]
Probing Potential Priming: Defining, Quantifying, and Testing the Causal Priming Effect Using the Potential Outcomes Framework.
Chén Oliver Y, Phan Huy, Cao Hengyi, Qian Tianchen, Nagels Guy, de Vos Maarten, 2022. Frontiers in psychology, 13 p. 724498. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_0B35A73A1CE9]
2021
 
Towards Multimodal Machine Learning Prediction of Individual Cognitive Evolution in Multiple Sclerosis.
Denissen Stijn, Chén Oliver Y, De Mey Johan, de Vos Maarten, Van Schependom Jeroen, Sima Diana Maria, Nagels Guy, 2021/12/11. Journal of personalized medicine, 11 (12) p. 1349. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_B41DE817A7AB]
Multi-View Audio and Music Classification.
Phan Huy, Le Nguyen Huy, Chén Oliver Y, Pham Lam, Koch Philipp, McLoughlin Ian, Mertins Alfred, 2021/06/06. dans ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Peer-reviewed, IEEE.
[DOI][WoS][serval:BIB_5AC4A2474F04]
Self-Attention Generative Adversarial Network for Speech Enhancement.
Phan Huy, Nguyen Huy Le, Chén Oliver Y, Koch Philipp, Duong Ngoc Q. K., McLoughlin Ian, Mertins Alfred, 2021/06/06. dans ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Peer-reviewed, IEEE.
[DOI][WoS][serval:BIB_39D4B5BC3EB9]
 
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning.
Phan H., Chén Oliver Y., Koch P., Lu Z., McLoughlin I., Mertins A., De Vos M., 2021/06. IEEE transactions on bio-medical engineering, 68 (6) pp. 1787-1798. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_96DB626444CF]
Cross-paradigm Connectivity: Reliability, Stability, and Utility.
Cao H., Chén Oliver Y, McEwen S.C., Forsyth J.K., Gee D.G., Bearden C.E., Addington J., Goodyear B., Cadenhead K.S., Mirzakhanian H. et al., 2021/04. Brain imaging and behavior, 15 (2) pp. 614-629. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_D1A8F03400ED]
Identifying Neural Signatures Mediating Behavioral Symptoms and Psychosis Onset: High-dimensional Whole Brain Functional Mediation Analysis.
Chén Oliver Y, Cao Hengyi, Phan Huy, Nagels Guy, Reinen Jenna M, Gou Jiangtao, Qian Tianchen, Di Junrui, Prince John, Cannon Tyrone D et al., 2021/02/01. NeuroImage, 226 p. 117508. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_124B55E56570]
Personalized Health Care and Public Health in the Digital Age.
Chén Oliver Y, Roberts Bryn, 2021. Frontiers in digital health, 3 p. 595704. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_7D5B23DCF16C]
2020
 
Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones.
Chén Oliver Y, Lipsmeier F., Phan H., Prince J., Taylor K.I., Gossens C., Lindemann M., Vos M., 2020/12. IEEE transactions on bio-medical engineering, 67 (12) pp. 3491-3500. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_27D5042A6F20]
 
Personalized Automatic Sleep Staging with Single-night Data: A Pilot Study with Kullback-Leibler Divergence Regularization.
Phan Huy, Mikkelsen Kaare, Chén Oliver Y, Koch Philipp, Mertins Alfred, Kidmose Preben, de Vos Maarten, 2020/07/01. Physiological measurement, 41 (6) p. 064004. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_1DE1FEB72404]
The Bayesian-Laplacian Brain.
Zeki Semir, Chén Oliver Y, 2020/03. The European journal of neuroscience, 51 (6) pp. 1441-1462. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_E493C7E82E90]
Big Data in Omics and Imaging: Integrated Analysis and Causal Inference.
Chén Oliver Y., 2020/01/02. Journal of the American Statistical Association, 115 (529) pp. 487-488. Peer-reviewed.
[DOI][serval:BIB_085DF4FB479C]
 
Improving GANs for Speech Enhancement.
Phan Huy, McLoughlin Ian V., Pham Lam, Chén Oliver Y, Koch Philipp, De Vos Maarten, Mertins Alfred, 2020. IEEE Signal Processing Letters, 27 pp. 1700-1704. Peer-reviewed.
[DOI][WoS][serval:BIB_C1D27E892248]
 
The Roles and Challenges of the P-value [Thou Shalt Not Reject the P-value].
Chén Oliver Y, Saraiva Raúl G, Nagels Guy, Phan Huy, Schwantje Tom, Cao Hengyi, Gou Jiangtao, Reinen Jenna M, Xiong Bin, De Vos Maarten, 2020..
[DOI][serval:BIB_FE0939D648D3]
2019
Spatio-Temporal Attention Pooling for Audio Scene Classification.
Phan Huy, Chén Oliver Y., Pham Lam, Koch Philipp, Vos Maarten De, McLoughlin Ian, Mertins Alfred, 2019/09/15., Interspeech Conference 2019 pp. 3845-3849 dans Interspeech 2019. Peer-reviewed.
[DOI][WoS][serval:BIB_772F4573CBCF]
Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch.
Phan Huy, Chén Oliver Y, Koch Philipp, Mertins Alfred, Vos Maarten De, 2019/09. dans 2019 27th European Signal Processing Conference (EUSIPCO). Peer-reviewed, IEEE.
[DOI][WoS][serval:BIB_E2BB27F90C18]
 
The Roles of Statistics in Human Neuroscience.
Chén Oliver Y, 2019/08/08. Brain sciences, 9 (8) p. 194. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_CA3FA94B6A53]
Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging.
Phan Huy, Chén Oliver Y, Koch Philipp, Mertins Alfred, De Vos Maarten, 2019/07. dans 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Peer-reviewed, IEEE.
[DOI][WoS][Pmid][serval:BIB_7A62D367EF67]
Altered Brain Activation During Memory Retrieval Precedes and Predicts Conversion to Psychosis in Individuals at Clinical High Risk.
Cao Hengyi, McEwen Sarah C, Chung Yoonho, Chén Oliver Y., Bearden Carrie E, Addington Jean, Goodyear Bradley, Cadenhead Kristin S, Mirzakhanian Heline, Cornblatt Barbara A et al., 2019/06/18. Schizophrenia bulletin, 45 (4) pp. 924-933. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_0F33CF4CAE64]
Beyond Equal-length Snippets: How Long is Sufficient to Recognize an Audio Scene?
Phan Huy, Chén Oliver Y, Koch Philipp, Pham Lam, McLoughlin Ian, Mertins Alfred, De Vos Maarten, 2019/06/08. dans 2019 AES International Conference on Audio Forensics. Peer-reviewed.
[serval:BIB_6ECCB94513E0]
 
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification.
Phan Huy, Andreotti Fernando, Cooray Navin, Chén Oliver Y, De Vos Maarten, 2019/05. IEEE Transactions on Biomedical Engineering, 66 (5) pp. 1285-1296. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_02D8D0C2EBE4]
Unifying Isolated and Overlapping Audio Event Detection with Multi-label Multi-task Convolutional Recurrent Neural Networks.
Phan Huy, Chén Oliver Y, Koch Philipp, Pham Lam, McLoughlin Ian, Mertins Alfred, Vos Maarten De, 2019/05. dans ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Peer-reviewed, IEEE.
[DOI][serval:BIB_F143DE7963CD]
Resting-state Brain Information Flow Predicts Cognitive Flexibility in Humans.
Chén Oliver Y, Cao Hengyi, Reinen Jenna M, Qian Tianchen, Gou Jiangtao, Phan Huy, de Vos Maarten, Cannon Tyrone D, 2019/03/07. Scientific reports, 9 (1) p. 3879. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_EB738CFEE321]
 
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging.
Phan H., Andreotti F., Cooray N., Chén Oliver Y, De Vos M., 2019/03. IEEE transactions on neural systems and rehabilitation engineering, 27 (3) pp. 400-410. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_77F4DF9FCB07]
Critical Boundary Refinement in a Group Sequential Trial When the Primary Endpoint Data Accumulate Faster Than the Secondary Endpoint.
Gou Jiangtao, Chén Oliver Y., 2019. pp. 205-224 dans Contemporary Biostatistics with Biopharmaceutical Applications, Springer.
[DOI][serval:BIB_CA39203C107D]
2018
Cerebello-thalamo-cortical Hyperconnectivity as a State-independent Functional Neural Signature for Psychosis Prediction and Characterization.
Cao Hengyi, Chén Oliver Y, Chung Yoonho, Forsyth Jennifer K, McEwen Sarah C, Gee Dylan G, Bearden Carrie E, Addington Jean, Goodyear Bradley, Cadenhead Kristin S et al., 2018/09/21. Nature communications, 9 (1) p. 3836. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_EF768B7EC3E1]
Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks.
Phan Huy, Andreotti Fernando, Cooray Navin, Chen Oliver Y., Vos Maarten De, 2018/07. dans 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Peer-reviewed, IEEE.
[DOI][Pmid][serval:BIB_741954F7C2C6]
DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification.
Phan Huy, Andreotti Fernando, Cooray Navin, Chén Oliver Y, De Vos Maarten, 2018/07. dans 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Peer-reviewed, IEEE.
[DOI][Pmid][serval:BIB_622506229936]
High-dimensional Multivariate Mediation with Application to Neuroimaging Data.
Chén Oliver Y, Crainiceanu Ciprian, Ogburn Elizabeth L, Caffo Brian S, Wager Tor D, Lindquist Martin A, 2018/04/01. Biostatistics, 19 (2) pp. 121-136. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_4675681D2485]
The Human Cortex Possesses a Reconfigurable Dynamic Network Architecture That Is Disrupted in Psychosis.
Reinen Jenna M, Chén Oliver Y, Hutchison R. Matthew, Yeo B. T. Thomas, Anderson Kevin M, Sabuncu Mert R, Öngür Dost, Roffman Joshua L, Smoller Jordan W, Baker Justin T et al., 2018/03/20. Nature communications, 9 (1) p. 1157. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_439A1BA08E8E]
The Biological Basis of Mathematical Beauty.
Zeki Semir, Chén Oliver Y, Romaya John Paul, 2018. Frontiers in human neuroscience, 12 p. 467. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_68EA3E4CBB98]
2015
On the Use of Semi-folding in Regular Blocked Two-level Factorial Designs.
Chén Oliver Yibing, Jacroux Mike, 2015/06/18. Communications in Statistics - Theory and Methods, 44 (12) pp. 2473-2506. Peer-reviewed.
[DOI][WoS][serval:BIB_536BF3F6CA90]
2013
Comparison of Clustering Algorithms: An Example with Proteomic Data.
Dasgupta N., Chén Oliver Y., Rasu R., Daoud S.S., 2013. Advances and Applications in Statistics, 33 (63) pp. 1-81. Peer-reviewed.
[serval:BIB_6C61A0AEA3A8]
 
Unsupervised Learning Methods to Proteomic Data from Colon Cancer.
Dasgupta N., Chén Oliver Y., Rasu R., Daoud S.S., 2013. Contemporary Topics in Mathematics and Statistics with Applications. Peer-reviewed.
[serval:BIB_172C4751DFC6]
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