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Huajin Tang
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Cited by
Year
Constructing the L2-graph for robust subspace learning and subspace clustering
X Peng, Z Yu, Z Yi, H Tang
IEEE transactions on cybernetics 47 (4), 1053-1066, 2016
2452016
Feedforward categorization on AER motion events using cortex-like features in a spiking neural network
B Zhao, R Ding, S Chen, B Linares-Barranco, H Tang
IEEE transactions on neural networks and learning systems 26 (9), 1963-1978, 2014
2342014
Event-based neuromorphic vision for autonomous driving: A paradigm shift for bio-inspired visual sensing and perception
G Chen, H Cao, J Conradt, H Tang, F Rohrbein, A Knoll
IEEE Signal Processing Magazine 37 (4), 34-49, 2020
2082020
Spiking deep residual networks
Y Hu, H Tang, G Pan
IEEE Transactions on Neural Networks and Learning Systems 34 (8), 5200-5205, 2021
2072021
Precise-spike-driven synaptic plasticity: Learning hetero-association of spatiotemporal spike patterns
Q Yu, H Tang, KC Tan, H Li
Plos one 8 (11), e78318, 2013
1922013
Connections between nuclear-norm and frobenius-norm-based representations
X Peng, C Lu, Z Yi, H Tang
IEEE transactions on neural networks and learning systems 29 (1), 218-224, 2016
1852016
Neural networks: computational models and applications
H Tang, KC Tan, Z Yi
Springer Science & Business Media, 2007
1702007
Rapid feedforward computation by temporal encoding and learning with spiking neurons
Q Yu, H Tang, KC Tan, H Li
IEEE transactions on neural networks and learning systems 24 (10), 1539-1552, 2013
1642013
A unified framework for representation-based subspace clustering of out-of-sample and large-scale data
X Peng, H Tang, L Zhang, Z Yi, S Xiao
IEEE transactions on neural networks and learning systems 27 (12), 2499-2512, 2015
1482015
A brain-inspired spiking neural network model with temporal encoding and learning
Q Yu, H Tang, KC Tan, H Yu
Neurocomputing 138, 3-13, 2014
1402014
Robust subspace clustering via thresholding ridge regression
X Peng, Z Yi, H Tang
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
1312015
A spiking neural network system for robust sequence recognition
Q Yu, R Yan, H Tang, KC Tan, H Li
IEEE transactions on neural networks and learning systems 27 (3), 621-635, 2015
922015
A spike-timing-based integrated model for pattern recognition
J Hu, H Tang, KC Tan, H Li, L Shi
Neural computation 25 (2), 450-472, 2013
832013
STCA: Spatio-temporal credit assignment with delayed feedback in deep spiking neural networks.
P Gu, R Xiao, G Pan, H Tang
IJCAI 15, 1366-1372, 2019
762019
Adaptive memetic computing for evolutionary multiobjective optimization
VA Shim, KC Tan, H Tang
IEEE transactions on cybernetics 45 (4), 610-621, 2014
722014
How the brain formulates memory: A spatio-temporal model research frontier
J Hu, H Tang, KC Tan, H Li
IEEE Computational Intelligence Magazine 11 (2), 56-68, 2016
702016
On parameter settings of Hopfield networks applied to traveling salesman problems
KC Tan, H Tang, SS Ge
IEEE Transactions on Circuits and Systems I: Regular Papers 52 (5), 994-1002, 2005
702005
An FPGA implementation of deep spiking neural networks for low-power and fast classification
X Ju, B Fang, R Yan, X Xu, H Tang
Neural computation 32 (1), 182-204, 2020
692020
Neural networks based approach for computing eigenvectors and eigenvalues of symmetric matrix
Z Yi, Y Fu, HJ Tang
Computers & Mathematics with Applications 47 (8-9), 1155-1164, 2004
682004
Temporal coding of local spectrogram features for robust sound recognition
J Dennis, Q Yu, H Tang, HD Tran, H Li
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International …, 2013
662013
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