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Fengzhen Tang
Fengzhen Tang
Shenyang Institution of Automation Chinese Academy of Science
Verified email at sia.cn
Title
Cited by
Cited by
Year
Model-based kernel for efficient time series analysis
H Chen, F Tang, P Tino, X Yao
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
1362013
Feature selection with kernelized multi-class support vector machine
Y Guo, Z Zhang, F Tang
Pattern Recognition 117, 107988, 2021
962021
Learning joint space–time–frequency features for EEG decoding on small labeled data
D Zhao, F Tang, B Si, X Feng
Neural Networks 114, 67-77, 2019
932019
Model Metric Co-Learning for Time Series Classification.
H Chen, F Tang, P Tino, AG Cohn, X Yao
Proceedings of the Twenty-Fourth International Joint Conference on …, 2015
692015
Nonstationary fuzzy neural network based on FCMnet clustering and a modified CG method with Armijo-type rule
B Zhang, X Gong, J Wang, F Tang, K Zhang, W Wu
Information Sciences 608, 313-338, 2022
382022
Group feature selection with multiclass support vector machine
F Tang, L Adam, B Si
Neurocomputing 317, 42-49, 2018
372018
NeuroBayesSLAM: Neurobiologically inspired Bayesian integration of multisensory information for robot navigation
T Zeng, F Tang, D Ji, B Si
Neural Networks 126, 21-35, 2020
302020
Generalized learning Riemannian space quantization: A case study on Riemannian manifold of SPD matrices
F Tang, M Fan, P Tiňo
IEEE Transactions on Neural Networks and Learning Systems 32 (1), 281-292, 2020
272020
Liver cancer identification based on PSO-SVM model
H Jiang, F Tang, X Zhang
2010 11th International Conference on Control Automation Robotics & Vision …, 2010
192010
An Analysis of Deep Learning Models in SSVEP-Based BCI: A Survey
D Xu, F Tang, Y Li, Q Zhang, X Feng
Brain Sciences 13 (3), 483, 2023
142023
The benefits of modeling slack variables in svms
F Tang, P Tiňo, PA Gutiérrez, H Chen
Neural computation 27 (4), 954-981, 2015
142015
Parameters optimization in SVM based-on ant colony optimization algorithm
XY Liu, HY Jiang, FZ Tang
Advanced materials research 121, 470-475, 2010
132010
Ordinal regression based on learning vector quantization
F Tang, P Tiňo
Neural Networks 93, 76-88, 2017
122017
Scan registration for underwater mechanical scanning imaging sonar using symmetrical Kullback–Leibler divergence
M Jiang, S Song, F Tang, Y Li, J Liu, X Feng
Journal of Electronic Imaging 28 (1), 013026-013026, 2019
102019
Probabilistic learning vector quantization on manifold of symmetric positive definite matrices
F Tang, H Feng, P Tino, B Si, D Ji
Neural Networks 142, 105-118, 2021
82021
Learning the deterministically constructed echo state networks
F Tang, P Tiňo, H Chen
2014 International Joint Conference on Neural Networks (IJCNN), 77-83, 2014
82014
Generalized learning vector quantization with log-Euclidean metric learning on symmetric positive-definite manifold
F Tang, P Tiňo, H Yu
IEEE Transactions on Cybernetics, 2022
72022
Riemannian dynamic generalized space quantization learning
ML Fan, F Tang, Y Guo, X Zhao
Pattern Recognition 132, 108932, 2022
62022
A transfer weighted extreme learning machine for imbalanced classification
Y Guo, B Jiao, Y Tan, P Zhang, F Tang
International Journal of Intelligent Systems 37 (10), 7685-7705, 2022
52022
An improvement of loop closure detection based on bow for ratslam
J Xu, N Yan, F Tang
2022 37th Youth Academic Annual Conference of Chinese Association of …, 2022
42022
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