Xiaodan Wang

发表

Uncertainty measure for interval-valued belief structures

Yafei Song, Xiaodan Wang, Lei Lei, 2016 .

Yafei Song, Lei Lei, Xiaodan Wang, 2014 .

Self-adaptive weighted majority vote algorithm based on entropy

Xiaodan Wang, Rui Li, 2017, 2017 2nd Asia-Pacific Conference on Intelligent Robot Systems (ACIRS).

Probability Estimation in the Framework of Intuitionistic Fuzzy Evidence Theory

Yafei Song, Xiaodan Wang, 2015 .

Multilayer Fisher extreme learning machine for classification

Xiaodan Wang, Lei Lei, Jian Wang, 2022, Complex & Intelligent Systems.

Cost-sensitive SVDD models based on a sample selection approach

Xiaodan Wang, Zhenchong Zhao, 2018, Applied Intelligence.

Network Intrusion Detection Based on Conditional Wasserstein Generative Adversarial Network and Cost-Sensitive Stacked Autoencoder

Yafei Song, Rui Li, Xiaodan Wang, 2020, IEEE Access.

Hierarchical error-correcting output codes based on SVDD

Yafei Song, Xiaodan Wang, Lei Lei, 2016, Pattern Analysis and Applications.

Yafei Song, Xiaodan Wang, Yafei Song, 2017, Pattern Analysis and Applications.

Divergence-based cross entropy and uncertainty measures of Atanassov's intuitionistic fuzzy sets with their application in decision making

Yafei Song, Qiang Fu, Xiaodan Wang, 2019, Appl. Soft Comput..

Uncertainty measure for Atanassov’s intuitionistic fuzzy sets

Yafei Song, Xiaodan Wang, Wenhua Wu, 2017, Applied Intelligence.

Evidential model for intuitionistic fuzzy multi-attribute group decision making

Qiang Fu, Xiaodan Wang, Yafei Song, 2020, Soft Comput..

Evidence combination based on credibility and non-specificity

Yafei Song, Xiaodan Wang, Wenhua Wu, 2018, Pattern Analysis and Applications.

Fruit Image Classification Based on MobileNetV2 with Transfer Learning Technique

Qian Xiang, Xiaodan Wang, Rui Li, 2019, CSAE.

A new approach to construct similarity measure for intuitionistic fuzzy sets

Yafei Song, Xiaodan Wang, Wen Quan, 2019, Soft Comput..

An Optimal Probabilistic Transformation of Belief Functions Based on Artificial Bee Colony Algorithm

Yafei Song, Xiaodan Wang, Lei Lei, 2014, ICIC.

Self-adaptive combination method for temporal evidence based on negotiation strategy

Yafei SONG, Jingwei ZHU, Lei LEI, 2020, Science China Information Sciences.

Evidence reasoning for temporal uncertain information based on relative reliability evaluation

Cheng-Li Fan, Yafei Song, Xiaodan Wang, 2018, Expert Syst. Appl..

A distance measure between intuitionistic fuzzy belief functions

Yafei Song, Xiaodan Wang, Hailin Zhang, 2015, Knowl. Based Syst..

Sensor dynamic reliability evaluation based on evidence theory and intuitionistic fuzzy sets

Yafei Song, Xiaodan Wang, Lei Lei, 2018, Applied Intelligence.

One‐dimensional convolutional neural networks for high‐resolution range profile recognition via adaptively feature recalibrating and automatically channel pruning

Rui Li, Qian Xiang, Lei Lei, 2020, Int. J. Intell. Syst..

Sensor dynamic reliability evaluation based on evidence theory and intuitionistic fuzzy sets

Yafei Song, Xiaodan Wang, Lei Lei, 2018, Applied Intelligence.

Uncertainty measure in evidence theory with its applications

Yafei Song, Xiaodan Wang, 2018, Applied Intelligence.

Stacked Fusion Supervised Auto-encoder with an Additional Classification Layer

Rui Li, Lei Lei, Xiaodan Wang, 2020, Neural Processing Letters.

Evidential model for intuitionistic fuzzy multi-attribute group decision making

Yafei Song, Xiaodan Wang, Lei Lei, 2019, Soft Computing.

New Operators for Aggregating Intuitionistic Fuzzy Information With Their Application in Decision Making

Cheng-Li Fan, Yafei Song, Lei Lei, 2018, IEEE Access.

Yafei Song, Xiaodan Wang, Lei Lei, 2015, Applied Intelligence.

Measure uncertainty for belief structures based on lower and upper probabilities

Yafei Song, Xiaodan Wang, Jingwei Zhu, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Combination of interval-valued belief structures based on intuitionistic fuzzy set

Yafei Song, Xiaodan Wang, Lei Lei, 2014, Knowl. Based Syst..

Hierarchical extreme learning machine with L21-norm loss and regularization

Rui Li, Lei Lei, Xiaodan Wang, 2020, International Journal of Machine Learning and Cybernetics.

Representation learning by hierarchical ELM auto-encoder with double random hidden layers

Rui Li, Xiaodan Wang, Lei Lei, 2019, IET Comput. Vis..

$L_{21}$ -Norm Based Loss Function and Regularization Extreme Learning Machine

Yafei Song, Xiaodan Wang, Lei Lei, 2019, IEEE Access.

Recognition of HRRP sequence based on TCN with attention and elastic net regularization

Yafei Song, Xiaodan Wang, Peng Wang, 2022, 2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML).

Combination of unreliable evidence sources in intuitionistic fuzzy MCDM framework

Yafei Song, Xiaodan Wang, Lei Lei, 2016, Knowl. Based Syst..

Probabilities modeling of multi-class based on relevance vector machine

Lei Lei, Rui Li, Xiaodan Wang, 2016, 2016 12th World Congress on Intelligent Control and Automation (WCICA).

Evidence combination based on credibility and separability

Yafei Song, Lei Lei, Xiaodan Wang, 2014, 2014 12th International Conference on Signal Processing (ICSP).

A Fast Two-Stage Extreme Learning Machine

Rui Li, Xiaodan Wang, Jinghao Gu, 2019, ICDLT.

Multilayer discriminative extreme learning machine for classification

Yafei Song, Xiaodan Wang, Jie Lai, 2022, International Journal of Machine Learning and Cybernetics.

A Feature Selection Algorithm Based on Approximate Markov Blanket and Dynamic Mutual Information

Xu Yao, Xiaodan Wang, Lei Lei, 2011, IScIDE.

SAR Target Recognition Based on Efficient Fully Convolutional Attention Block CNN

Rui Li, Jian Wang, Lei Lei, 2022, IEEE Geoscience and Remote Sensing Letters.

Quadruplet depth-wise separable fusion convolution neural network for ballistic target recognition with limited samples

Yafei Song, Xiaodan Wang, Lei Lei, 2023, Expert Syst. Appl..

A Multi-scale Radar HRRP Target Recognition Method Based on Pyramid Depthwise Separable Convolution Network

Yafei Song, Xiaodan Wang, Qian Xiang, 2022, 2022 7th International Conference on Image, Vision and Computing (ICIVC).

One-dimension hierarchical local receptive fields based extreme learning machine for radar target HRRP recognition

Rui Li, Jian Wang, Lei Lei, 2020, Neurocomputing.

Multi‐scale group‐fusion convolutional neural network for high‐resolution range profile target recognition

Yafei Song, Xiaodan Wang, Lei Lei, 2022, IET Radar, Sonar & Navigation.

A multiscale intrusion detection system based on pyramid depthwise separable convolution neural network

Yafei Song, Xiaodan Wang, Qian Xiang, 2023, Neurocomputing.

Network intrusion detection based on conditional wasserstein variational autoencoder with generative adversarial network and one-dimensional convolutional neural networks

Xiaodan Wang, Yafei Song, Chen Chen, 2022, Applied Intelligence.

FVAE: a regularized variational autoencoder using the Fisher criterion

Yafei Song, Xiaodan Wang, Rui Li, 2022, Applied Intelligence.

BD-ELM: A Regularized Extreme Learning Machine Using Biased DropConnect and Biased Dropout

Rui Li, Lei Lei, Xiaodan Wang, 2020 .

A Semi-Supervised Stacked Autoencoder Using the Pseudo Label for Classification Tasks

Yafei Song, Xiaodan Wang, Jie Lai, 2023, Entropy.

A precession period extraction method of ballistic target based on DAMDF

Yafei Song, Xiaodan Wang, Lei Lei, 2014, 2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP).

Research on HRRP target recognition based on one-dimensional stack convolutional autoencoder

Qian Xiang, Rui Li, Xiaodan Wang, 2020, Journal of Physics: Conference Series.

Stability Analysis of ECOC Kernel Machines

Xiaodan Wang, Xiaolong Fu, Aijun Xue, 2017, ICIG.