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wanzeng kong
wanzeng kong
Prof. College of Computer Science, Hangzhou Dianzi University
Verified email at hdu.edu.cn
Title
Cited by
Cited by
Year
Sub-band target alignment common spatial pattern in brain-computer interface
X Zhang, Q She, Y Chen, W Kong, C Mei
Computer Methods and Programs in Biomedicine 207, 106150, 2021
4072021
On the use of EEG or MEG brain imaging tools in neuromarketing research
G Vecchiato, L Astolfi, FDV Fallani, J Toppi, F Aloise, F Bez, D Wei, ...
Computational intelligence and neuroscience 2011, 2011
2862011
Assessment of mental fatigue during car driving by using high resolution EEG activity and neurophysiologic indices
G Borghini, G Vecchiato, J Toppi, L Astolfi, A Maglione, R Isabella, ...
2012 annual international conference of the IEEE engineering in medicine and …, 2012
2122012
EEG classification of driver mental states by deep learning
H Zeng, C Yang, G Dai, F Qin, J Zhang, W Kong
Cognitive neurodynamics 12, 597-606, 2018
1802018
EEG-based emotion recognition using 4D convolutional recurrent neural network
F Shen, G Dai, G Lin, J Zhang, W Kong, H Zeng
Cognitive Neurodynamics 14, 815-828, 2020
1202020
Assessment of driving fatigue based on intra/inter-region phase synchronization
W Kong, Z Zhou, B Jiang, F Babiloni, G Borghini
Neurocomputing 219, 474-482, 2017
1132017
Deep multimodal multilinear fusion with high-order polynomial pooling
M Hou, J Tang, J Zhang, W Kong, Q Zhao
Advances in Neural Information Processing Systems 32, 2019
1012019
A lightGBM-based EEG analysis method for driver mental states classification
H Zeng, C Yang, H Zhang, Z Wu, J Zhang, G Dai, F Babiloni, W Kong
Computational intelligence and neuroscience 2019, 2019
962019
Investigating Driver Fatigue versus Alertness Using the Granger Causality Network
W Kong, W Lin, F Babiloni, S Hu, G Borghini
Sensors 15 (8), 19181-19198, 2015
862015
Understanding the impact of TV commercials
G Vecchiato, W Kong, A Giulio Maglione, D Wei
IEEE pulse 3 (3), 42, 2012
772012
YOLOv3-DPFIN: A dual-path feature fusion neural network for robust real-time sonar target detection
W Kong, J Hong, M Jia, J Yao, W Cong, H Hu, H Zhang
IEEE Sensors Journal 20 (7), 3745-3756, 2019
742019
Simulation of retinal ganglion cell response using fast independent component analysis
G Wang, R Wang, W Kong, J Zhang
Cognitive Neurodynamics 12, 615-624, 2018
742018
EEG emotion classification using an improved SincNet-based deep learning model
H Zeng, Z Wu, J Zhang, C Yang, H Zhang, G Dai, W Kong
Brain sciences 9 (11), 326, 2019
702019
Electronic evaluation for video commercials by impression index
W Kong, X Zhao, S Hu, G Vecchiato, F Babiloni
Cognitive neurodynamics 7, 531-535, 2013
672013
A system of driving fatigue detection based on machine vision and its application on smart device
W Kong, L Zhou, Y Wang, J Zhang, J Liu, S Gao
Journal of Sensors 2015, 2015
642015
Evaluation of the workload and drowsiness during car driving by using high resolution EEG activity and neurophysiologic indices
A Maglione, G Borghini, P Aricò, F Borgia, I Graziani, A Colosimo, W Kong, ...
2014 36th annual international conference of the IEEE engineering in …, 2014
562014
Automatic and direct identification of blink components from scalp EEG
W Kong, Z Zhou, S Hu, J Zhang, F Babiloni, G Dai
Sensors 13 (8), 10783-10801, 2013
532013
GFIL: A unified framework for the importance analysis of features, frequency bands, and channels in EEG-based emotion recognition
Y Peng, F Qin, W Kong, Y Ge, F Nie, A Cichocki
IEEE Transactions on Cognitive and Developmental Systems 14 (3), 935-947, 2021
522021
Enhance of theta EEG spectral activity related to the memorization of commercial advertisings in Chinese and Italian subjects
G Vecchiato, F Babiloni, L Astolfi, J Toppi, P Cherubino, J Dai, W Kong, ...
2011 4th international conference on biomedical engineering and informatics …, 2011
522011
Towards a multimodal bioelectrical framework for the online mental workload evaluation
P Aricò, G Borghini, I Graziani, F Taya, Y Sun, A Bezerianos, NV Thakor, ...
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
512014
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