780 citations · 1.6k across the 54 of their papers we have counts for
12 papers · 1 filter
On the Adversarial Robustness of Generative Autoencoders in the Latent Space
Mingfei Lu, Badong Chen
The generative autoencoders, such as the variational autoencoders or the adversarial autoencoders, have achieved great success in lots of real-world applications, including image g…
Gate Recurrent Unit Network based on Hilbert-Schmidt Independence Criterion for State-of-Health Estimation
Ziyue Huang, Lujuan Dang, Yuqing Xie +2
State-of-health (SOH) estimation is a key step in ensuring the safe and reliable operation of batteries. Due to issues such as varying data distribution and sequence length in diff…
Adaptive sparseness for correntropy-based robust regression via automatic relevance determination
Yuanhao Li, Badong Chen, Okito Yamashita +2
Sparseness and robustness are two important properties for many machine learning scenarios. In the present study, regarding the maximum correntropy criterion (MCC) based robust reg…
Correntropy-Based Logistic Regression with Automatic Relevance Determination for Robust Sparse Brain Activity Decoding
Yuanhao Li, Badong Chen, Yuxi Shi +2
Recent studies have utilized sparse classifications to predict categorical variables from high-dimensional brain activity signals to expose human's intentions and mental states, se…
Multi-view Information Bottleneck Without Variational Approximation
Qi Zhang, Shujian Yu, Jingmin Xin +1
By "intelligently" fusing the complementary information across different views, multi-view learning is able to improve the performance of classification tasks. In this work, we ext…
Active noise control techniques for nonlinear systems
Lu Lu, Kai-Li Yin, Rodrigo C. de Lamare +4
Most of the literature focuses on the development of the linear active noise control (ANC) techniques. However, ANC systems might have to deal with some nonlinear components and th…
Error Loss Networks
Badong Chen, Yunfei Zheng, Pengju Ren
A novel model called error loss network (ELN) is proposed to build an error loss function for supervised learning. The ELN is in structure similar to a radial basis function (RBF)…
Broad Learning System Based on Maximum Correntropy Criterion
Yunfei Zheng, Badong Chen, Shiyuan Wang +1
As an effective and efficient discriminative learning method, Broad Learning System (BLS) has received increasing attention due to its outstanding performance in various regression…
Restricted Minimum Error Entropy Criterion for Robust Classification
Yuanhao Li, Badong Chen, Natsue Yoshimura +1
The minimum error entropy (MEE) criterion has been verified as a powerful approach for non-Gaussian signal processing and robust machine learning. However, the implementation of ME…
Multi-Kernel Correntropy for Robust Learning
Badong Chen, Yuqing Xie, Xin Wang +3
As a novel similarity measure that is defined as the expectation of a kernel function between two random variables, correntropy has been successfully applied in robust machine lear…
Prognostics Estimations with Dynamic States
Rong-Jing Bao, Hai-Jun Rong, Zhi-Xin Yang +1
The health state assessment and remaining useful life (RUL) estimation play very important roles in prognostics and health management (PHM), owing to their abilities to reduce the…
Augmented Space Linear Model
Zhengda Qin, Badong Chen, Nanning Zheng +1
The linear model uses the space defined by the input to project the target or desired signal and find the optimal set of model parameters. When the problem is nonlinear, the adapti…