Biao Sun (孙彪)
Cited by
Cited by
A deep learning approach to patch-based image inpainting forensics
X Zhu, Y Qian, X Zhao, B Sun, Y Sun
Signal Processing: Image Communication 67, 90-99, 2018
Photoplethysmography-based heart rate monitoring using asymmetric least squares spectrum subtraction and bayesian decision theory
B Sun, Z Zhang
IEEE Sensors Journal 15 (12), 7161-7168, 2015
A deep learning framework of quantized compressed sensing for wireless neural recording
B Sun, H Feng, K Chen, X Zhu
IEEE Access 4, 5169-5178, 2016
Motor imagery recognition with automatic EEG channel selection and deep learning
H Zhang, X Zhao, Z Wu, B Sun, T Li
Journal of neural engineering 18 (1), 016004, 2021
EEG motor imagery classification with sparse spectrotemporal decomposition and deep learning
B Sun, X Zhao, H Zhang, R Bai, T Li
IEEE Transactions on Automation Science and Engineering 18 (2), 541-551, 2020
On-Chip Neural Data Compression Based On Compressed Sensing With Sparse Sensing Matrices
W Zhao, B Sun, T Wu, Z Yang
IEEE Transactions on Biomedical Circuits and Systems 12 (1), 242-254, 2018
Improving classification of slow cortical potential signals for BCI systems with polynomial fitting and voting support vector machine
HR Hou, QH Meng, M Zeng, B Sun
IEEE Signal Processing Letters 25 (2), 283-287, 2017
Adaptive spatiotemporal graph convolutional networks for motor imagery classification
B Sun, H Zhang, Z Wu, Y Zhang, T Li
IEEE Signal Processing Letters 28, 219-223, 2021
Deep learning-based quantitative optoacoustic tomography of deep tissues in the absence of labeled experimental data
J Li, C Wang, T Chen, T Lu, S Li, B Sun, F Gao, V Ntziachristos
Optica 9 (1), 32-41, 2022
Graph convolution neural network based end-to-end channel selection and classification for motor imagery brain-computer interfaces
B Sun, Z Liu, Z Wu, C Mu, T Li
IEEE transactions on industrial informatics, 2022
Golden subject is everyone: A subject transfer neural network for motor imagery-based brain computer interfaces
B Sun, Z Wu, Y Hu, T Li
Neural Networks 151, 111-120, 2022
Three-dimensional gas distribution mapping with a micro-drone
L Bing, M Qing-Hao, W Jia-Ying, S Biao, W Ying
2015 34th Chinese Control Conference (CCC), 6011-6015, 2015
Raman spectrum classification based on transfer learning by a convolutional neural network: Application to pesticide detection
J Hu, Y Zou, B Sun, X Yu, Z Shang, J Huang, S Jin, P Liang
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 265, 120366, 2022
LV‐GAN: A deep learning approach for limited‐view optoacoustic imaging based on hybrid datasets
T Lu, T Chen, F Gao, B Sun, V Ntziachristos, J Li
Journal of Biophotonics, e2627, 2020
An efficient ensemble method for missing value imputation in microarray gene expression data
X Zhu, J Wang, B Sun, C Ren, T Yang, J Ding
BMC bioinformatics 22, 1-25, 2021
Efficient compressed sensing for wireless neural recording: A deep learning approach
B Sun, H Feng
IEEE Signal Processing Letters 24 (6), 863-867, 2017
Seizure prediction in scalp EEG based channel attention dual-input convolutional neural network
B Sun, JJ Lv, LG Rui, YX Yang, YG Chen, C Ma, ZK Gao
Physica A: Statistical Mechanics and its Applications 584, 126376, 2021
Training-free compressed sensing for wireless neural recording using analysis model and group weighted-minimization
B Sun, W Zhao, X Zhu
Journal of neural engineering 14 (3), 036018, 2017
Multi-Stream Fusion Network With Generalized Smooth L1 Loss for Single Image Dehazing
X Zhu, S Li, Y Gan, Y Zhang, B Sun
IEEE Transactions on Image Processing 30, 7620-7635, 2021
Permuted&filtered spectrum compressive sensing
B Sun, Q Chen, X Xu, Y He, J Jiang
IEEE Signal Processing Letters 20 (7), 685-688, 2013
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