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Yu Sun 0014
Person information
- affiliation: Zhejiang University, Department of Biomedical Engineering, Hangzhou, China
- affiliation (since 2012): National University of Singapore, Centre for Life Sciences, Singapore
- affiliation (PhD 2012): Shanghai Jiao Tong University, Department of Biomedical Engineering, China
- affiliation (PhD 2011): Loughborough University, Leicestershire, UK
Other persons with the same name
- Yu Sun — disambiguation page
- Yu Sun 0001
— University of Toronto, Department of Mechanical and Industrial Engineering, Canada
- Yu Sun 0002
- Yu Sun 0003 — University of Central Arkansas (and 1 more)
- Yu Sun 0004
- Yu Sun 0005 — Institute of Computing Technology CAS (and 1 more)
- Yu Sun 0006 — MathWorks (and 1 more)
- Yu Sun 0007 — University of California, Riverside, CA, USA
- Yu Sun 0008 — Northeastern University, Shenyang
- Yu Sun 0009 — General Motors (and 1 more)
- Yu Sun 0010 — Changchun University
- Yu Sun 0011 — The University of Michigan, Dearborn
- Yu Sun 0012 — The University of Texas at Austin
- Yu Sun 0013 — Department of Mathematics, Wayne State University
- Yu Sun 0015
- Yu Sun 0016
- Yu Sun 0017 — Harbin Engineering University, China
- Yu Sun 0018
- Yu Sun 0019
- Yu Sun 0020 — Stanford University, CA, USA (and 1 more)
- Yu Sun 0021 — Twitter (and 2 more)
- Yu Sun 0022
- Yu Sun 0023 — Beijing Normal University, Beijing, China
- Yu Sun 0024 — University of Illinois at Urbana-Champaign, USA
- Yu Sun 0025 — Siemens Corporation, Corporate Research and Technology, Knowledge and Decision Systems, Princeton, NJ, USA
- Yu Sun 0026
- Yu Sun 0027
- Yu Sun 0028
- Yu Sun 0029
- Yu Sun 0030
- Yu Sun 0031 — Shanghai AI Laboratory, Shanghai, China (and 1 more)
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2020 – today
- 2024
- [j22]Olympia Giannakopoulou, Ioannis Kakkos
Individual Variability in Brain Connectivity Patterns and Driving-Fatigue Dynamics. Sensors 24(12): 3894 (2024) - [j21]Mengru Xu
Machine Learning Technique Reveals Intrinsic EEG Connectivity Characteristics of Patients With Mild Stroke During Cognitive Task Performing. IEEE Trans. Cogn. Dev. Syst. 16(1): 232-242 (2024) - [j20]Xinyi Xu
EEG-Based Mental Workload Assessment in a Simulated Flight Task Using Single-Channel Brain Rhythm Sequence. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - 2023
- [j19]Zhao Feng
μ-STAR: A novel framework for spatio-temporal M/EEG source imaging optimized by microstates. NeuroImage 282: 120372 (2023) - [j18]Tao Xu
E-Key: An EEG-Based Biometric Authentication and Driving Fatigue Detection System. IEEE Trans. Affect. Comput. 14(2): 864-877 (2023) - [j17]Kun Xia
Privacy-Preserving Brain-Computer Interfaces: A Systematic Review. IEEE Trans. Comput. Soc. Syst. 10(5): 2312-2324 (2023) - [j16]Xianliang Ge
Improving Intention Detection in Single-Trial Classification Through Fusion of EEG and Eye-Tracker Data. IEEE Trans. Hum. Mach. Syst. 53(1): 132-141 (2023) - [j15]Shun Liu
Driving Fatigue Effects on Cross-Frequency Phase Synchrony Embedding in Multilayer Brain Network. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [j14]Peng Qi
Individualized Prediction of Task Performance Decline Using Pre-Task Resting-State Functional Connectivity. IEEE J. Biomed. Health Informatics 27(10): 4971-4982 (2023) - 2022
- [j13]Zhao Feng
Design a Novel BCI for Neurorehabilitation Using Concurrent LFP and EEG Features: A Case Study. IEEE Trans. Biomed. Eng. 69(5): 1554-1563 (2022) - [j12]Yi Sun
Inferring the Individual Psychopathologic Deficits With Structural Connectivity in a Longitudinal Cohort of Schizophrenia. IEEE J. Biomed. Health Informatics 26(6): 2536-2546 (2022) - 2021
- [j11]Hongtao Wang, Xucheng Liu
Driving Fatigue Recognition With Functional Connectivity Based on Phase Synchronization. IEEE Trans. Cogn. Dev. Syst. 13(3): 668-678 (2021) - [j10]Hongtao Wang
Performance Enhancement of P300 Detection by Multiscale-CNN. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j9]Ioannis Kakkos, Georgios N. Dimitrakopoulos
EEG Fingerprints of Task-Independent Mental Workload Discrimination. IEEE J. Biomed. Health Informatics 25(10): 3824-3833 (2021) - [c30]Kuijun Wu, Yi Sun, Lingyun Gao, Jingjia Yuan, Yu Sun:
Cross-Subject Driving Fatigue Detection Model Based on Feature Selection of Critical Functional Connectivity. M2VIP 2021: 661-666 - [i2]Xianliang Ge, Yunxian Pan, Sujie Wang, Linze Qian, Jingjia Yuan, Jie Xu, Nitish V. Thakor, Yu Sun:
Improving Intention Detection in Single-Trial Classification through Fusion of EEG and Eye-tracker Data. CoRR abs/2112.02566 (2021) - 2020
- [j8]Weiming Niu, Xinfen Xu, Hongxi Zhang, Yao Zhang, Shaoqing Ni, Tianmei Liu, Qiufang Li, Can Lai, Yu Sun
Breastfeeding improves dynamic reorganization of functional connectivity in preterm infants: a temporal brain network study. Medical Biol. Eng. Comput. 58(11): 2805-2819 (2020) - [c29]Zian Pei, Tao Xu, Anastasios Bezerianos, Junhua Li, Yu Sun, Hongtao Wang:
The Effect of Longitudinal Training on Working Memory Capacities: An Exploratory EEG Study. EMBC 2020: 42-45 - [c28]Stavros Theofanis Miloulis
Evaluating Memory and Cognition via a Wearable EEG System: A Preliminary Study. MobiHealth 2020: 52-66 - [c27]Linze Qian, Zhao Feng
A Novel Scheme for Classification of Motor Imagery Signal using Stockwell Transform of CSP and CNN Model. SMC 2020: 3673-3677 - [c26]Zhao Feng
Functional Connectivity for Motor Imaginary Recognition in Brain-computer Interface. SMC 2020: 3678-3682
2010 – 2019
- 2019
- [j7]Junhua Li
What Are Spectral and Spatial Distributions of EEG-EMG Correlations in Overground Walking? An Exploratory Study. IEEE Access 7: 143935-143946 (2019) - [j6]Xiaobing Zhang, Xuebin Yu, Qingquan Bao, Liming Yang, Yu Sun
Multimodal neuroimaging study reveals dissociable processes between structural and functional networks in patients with subacute intracerebral hemorrhage. Medical Biol. Eng. Comput. 57(6): 1285-1295 (2019) - [j5]Xiaowei Zhang, Xudong Shi, Yu Sun
Multivariate Regression with Gross Errors on Manifold-Valued Data. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 444-458 (2019) - [c25]Lingyun Gao, Anastasios Bezerianos, Nitish V. Thakor, Jinsong Li, Yu Sun
Reorganization of Temporal Brain Network Underpins Accumulative Nature of Mental Fatigue. NER 2019: 494-497 - 2018
- [c24]Yu Sun
Functional brain network analysis reveals time-on-task related performance decline. EMBC 2018: 271-274 - [c23]Haoming Xie, Jing Zhang, Weihai Chen, Jianbin Zhang, Yu Sun
Continuous Decoding of Self-Paced Movement Intention from EEG Correlates. ICARCV 2018: 1917-1922 - 2017
- [j4]Junhua Li, Yu Chen, Fumihiko Taya, Julian Lim, Kianfoong Wong, Yu Sun
A unified canonical correlation analysis-based framework for removing gradient artifact in concurrent EEG/fMRI recording and motion artifact in walking recording from EEG signal. Medical Biol. Eng. Comput. 55(9): 1669-1681 (2017) - [j3]Yu Sun
The effects of a mid-task break on the brain connectome in healthy participants: A resting-state functional MRI study. NeuroImage 152: 19-30 (2017) - [c22]Georgios N. Dimitrakopoulos
Driving Mental Fatigue Classification Based on Brain Functional Connectivity. EANN 2017: 465-474 - [c21]Nida Itrat Abbasi, Indu Prasad Bodala
Role of multisensory stimuli in vigilance enhancement- a single trial event related potential study. EMBC 2017: 2446-2449 - [c20]Indu P. Bodala
Measuring vigilance decrement using computer vision assisted eye tracking in dynamic naturalistic environments. EMBC 2017: 2478-2481 - [c19]Georgios N. Dimitrakopoulos
A mental fatigue index based on regression using mulitband EEG features with application in simulated driving. EMBC 2017: 3220-3223 - [c18]Shengqian Zhang, Yuan Zhang
Graph theoretical analysis of EEG functional network during multi-workload flight simulation experiment in virtual reality environment. EMBC 2017: 3957-3960 - [c17]Bing Liang Chua, Zhongxiang Dai, Nitish V. Thakor, Anastasios Bezerianos, Yu Sun
Connectome pattern alterations with increment of mental fatigue in one-hour driving simulation. EMBC 2017: 4355-4358 - [c16]Jingwen Chai, Gong Chen, Pavithra Thangavel, Georgios N. Dimitrakopoulos
Identification of gait-related brain activity using electroencephalographic signals. NER 2017: 548-551 - [i1]Xiaowei Zhang, Xudong Shi, Yu Sun, Li Cheng:
Multivariate Regression with Gross Errors on Manifold-valued Data. CoRR abs/1703.08772 (2017) - 2016
- [j2]Yu Sun
Photoplethysmography Revisited: From Contact to Noncontact, From Point to Imaging. IEEE Trans. Biomed. Eng. 63(3): 463-477 (2016) - [c15]Junhua Li, Gong Chen, Pavithra Thangavel, Haoyong Yu, Nitish V. Thakor, Anastasios Bezerianos, Yu Sun:
A robotic knee exoskeleton for walking assistance and connectivity topology exploration in EEG signal. BioRob 2016: 1068-1073 - [c14]Kevin Ardian, Fumihiko Taya, Yu Sun, Anastasios Bezerianos, Kay Chen Tan:
Optimization of workload level estimation using selection of EEG channel connectivity. CEC 2016: 1985-1990 - [c13]Stavros I. Dimitriadis, Yu Sun
Mining cross-frequency coupling microstates (CFCμstates) from EEG recordings during resting state and mental arithmetic tasks. EMBC 2016: 5517-5520 - 2015
- [c12]Shen Ren, Fumihiko Taya, Yu Sun
Assessing small-worldness of dynamic functional brain connectivity during complex tasks. EMBC 2015: 2904-2907 - [c11]Anastasios Bezerianos, Yu Sun
Cooperation driven coherence: Brains working hard together. EMBC 2015: 4696-4699 - [c10]Zhongze Hu, Yu Sun
Investigating the correlation between the neural activity and task performance in a psychomotor vigilance test. EMBC 2015: 4725-4728 - [c9]Fumihiko Taya, Yu Sun, Gianluca Borghini
Training-induced changes in information transfer efficiency of the brain network: A functional connectome approach. NER 2015: 1028-1031 - [c8]Yudu Li, Yu Sun, Fumihiko Taya, Haoyong Yu
Single trial EEG classification of lower-limb movements using improved regularized common spatial pattern. NER 2015: 1056-1059 - 2014
- [c7]Fumihiko Taya, Yu Sun, Nitish V. Thakor, Anastasios Bezerianos:
Information transfer efficiency during rest and task a functional connectome approach. BioCAS 2014: 101-104 - [c6]Pietro Aricò
Towards a multimodal bioelectrical framework for the online mental workload evaluation. EMBC 2014: 3001-3004 - [c5]Yu Sun
Topological changes of the effective connectivity during the working memory training. EMBC 2014: 6242-6245 - 2013
- [c4]Yu Sun
Structural connectivity analysis reveals topological aberrations in patients with schizophrenia. EMBC 2013: 1386-1389 - [c3]Stavros I. Dimitriadis, Yu Sun
A tensorial approach to access cognitive workload related to mental arithmetic from EEG functional connectivity estimates. EMBC 2013: 2940-2943 - [c2]Kaiquan Shen, Ke Yu, Aishwarya Bandla
Multiple time-lag canonical correlation analysis for removing muscular artifacts in EEG. EMBC 2013: 6792-6795 - 2011
- [c1]Yu Sun
Graphic patterns of cortical functional connectivity of depressed patients on the basis of EEG measurements. EMBC 2011: 1419-1422
2000 – 2009
- 2009
- [j1]Yu Sun
Early Cortical Connective Network Relating to Audiovisual Stimulation by Partial Directed Coherence Analysis. IEEE Trans. Biomed. Eng. 56(11): 2721-2724 (2009)
Coauthor Index
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