Fengzhen Tang

ORCID

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 21

Top Venues

University of Birmingham, UK (PHD)

Education History

University of Birmingham, UK

PHD

Publications

Mengling Fan, Fengzhen Tang, Xingang Zhao
Prototype based linear sub-manifold learning. IJCNN (2023)
Zirui Zhang, Yinan Guo, Fengzhen Tang
Dimension selection for EEG classification in the SPD Riemannian space based on PSO. Knowl. Based Syst. 279 (2023)
Chenchen Wu, Ruming Zhang, Fengzhen Tang, Mengling Fan
Vibration optimization of cantilevered bistable composite shells based on machine learning. Eng. Appl. Artif. Intell. 126 (Part D) (2023)
Kai He, Wenxue Wang, Gang Li, Peng Yu, Fengzhen Tang, Ning Xi, Lianqing Liu
Knowledge-based hybrid connectionist models for morphologic reasoning. Mach. Vis. Appl. 34 (2) (2023)
Fengzhen Tang, Peter Tino, Haibin Yu
Generalized Learning Vector Quantization With Log-Euclidean Metric Learning on Symmetric Positive-Definite Manifold. IEEE Trans. Cybern. 53 (8) (2023)
Bingjie Zhang, Xiaoling Gong, Jian Wang, Fengzhen Tang, Kai Zhang, Wei Wu
Nonstationary fuzzy neural network based on FCMnet clustering and a modified CG method with Armijo-type rule. Inf. Sci. 608 (2022)
Mengling Fan, Fengzhen Tang, Yinan Guo, Xingang Zhao
Riemannian dynamic generalized space quantization learning. Pattern Recognit. 132 (2022)
Yinan Guo, Botao Jiao, Ying Tan, Pei Zhang, Fengzhen Tang
A transfer weighted extreme learning machine for imbalanced classification. Int. J. Intell. Syst. 37 (10) (2022)
Yinan Guo, Zirui Zhang, Fengzhen Tang
Feature selection with kernelized multi-class support vector machine. Pattern Recognit. 117 (2021)
Yinan Guo, Botao Jiao, Lingkai Yang, Jian Cheng, Shengxiang Yang, Fengzhen Tang
A novel oversampling technique based on the manifold distance for class imbalance learning. Int. J. Bio Inspired Comput. 18 (3) (2021)
Fengzhen Tang, Haifeng Feng, Peter Tiño, Bailu Si, Daxiong Ji
Probabilistic Learning Vector Quantization on Manifold of Symmetric Positive Definite Matrices. CoRR (2021)
Fengzhen Tang, Mengling Fan, Peter Tiño
Generalized Learning Riemannian Space Quantization: A Case Study on Riemannian Manifold of SPD Matrices. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Fengzhen Tang, Haifeng Feng, Peter Tino, Bailu Si, Daxiong Ji
Probabilistic learning vector quantization on manifold of symmetric positive definite matrices. Neural Networks 142 (2021)
Taiping Zeng, Fengzhen Tang, Daxiong Ji, Bailu Si
NeuroBayesSLAM: Neurobiologically inspired Bayesian integration of multisensory information for robot navigation. Neural Networks 126 (2020)
Min Jiang, Sanming Song, Fengzhen Tang, Yiping Li, Jian Liu, Xisheng Feng
Scan registration for underwater mechanical scanning imaging sonar using symmetrical Kullback-Leibler divergence. J. Electronic Imaging 28 (1) (2019)
Dongye Zhao, Bailu Si, Fengzhen Tang
Unsupervised Feature Learning for Visual Place Recognition in Changing Environments. IJCNN (2019)
Dongye Zhao, Fengzhen Tang, Bailu Si, Xisheng Feng
Learning joint space-time-frequency features for EEG decoding on small labeled data. Neural Networks 114 (2019)
Fengzhen Tang, Lukás Adam, Bailu Si
Group feature selection with multiclass support vector machine. Neurocomputing 317 (2018)
Fengzhen Tang, Peter Tiño
Ordinal regression based on learning vector quantization. Neural Networks 93 (2017)
Guanwen Huang, Bailu Si, Fengzhen Tang
Model learning based on grid cell representations. ROBIO (2017)
Fengzhen Tang, Bailu Si, Daxiong Ji
A prey-predator model for efficient robot tracking. ICRA (2017)
Huanhuan Chen, Fengzhen Tang, Peter Tiño, Anthony G. Cohn, Xin Yao
Model Metric Co-Learning for Time Series Classification. IJCAI (2015)
Fengzhen Tang, Peter Tiño, Pedro Antonio Gutiérrez, Huanhuan Chen
The Benefits of Modeling Slack Variables in SVMs. Neural Comput. 27 (4) (2015)
Fengzhen Tang, Peter Tiño, Pedro Antonio Gutiérrez, Huanhuan Chen
Support Vector Ordinal Regression using Privileged Information. ESANN (2014)
Fengzhen Tang, Peter Tiño, Huanhuan Chen
Learning the deterministically constructed Echo State Networks. IJCNN (2014)
Huanhuan Chen, Fengzhen Tang, Peter Tiño, Xin Yao
Model-based kernel for efficient time series analysis. KDD (2013)
Huiyan Jiang, Fengzhen Tang, Xiyue Zhang
Liver cancer identification based on PSO-SVM model. ICARCV (2010)

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Publication Activity (10 Years)

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Fengzhen Tang