wanzeng kong
wanzeng kong
Prof. College of Computer Science, Hangzhou Dianzi University
Verified email at
Cited by
Cited by
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
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
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
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
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
Understanding the impact of TV commercials
G Vecchiato, W Kong, A Giulio Maglione, D Wei
IEEE pulse 3 (3), 42, 2012
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
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
Electronic evaluation for video commercials by impression index
W Kong, X Zhao, S Hu, G Vecchiato, F Babiloni
Cognitive neurodynamics 7, 531-535, 2013
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
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
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
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
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
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
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
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
On the use of cognitive neurometric indexes in aeronautic and air traffic management environments
G Di Flumeri, G Borghini, P Aricò, A Colosimo, S Pozzi, S Bonelli, ...
Symbiotic Interaction: 4th International Workshop, Symbiotic 2015, Berlin …, 2015
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
Comparison analysis: Granger causality and new causality and their applications to motor imagery
S Hu, H Wang, J Zhang, W Kong, Y Cao, R Kozma
IEEE transactions on neural networks and learning systems 27 (7), 1429-1444, 2015
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