Lei Xing

According to our database, Lei Xing authored at least 21 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Measuring generalized divergence for multiple distributions with application to deep clustering.

Mingfei Lu, Lei Xing, Badong Chen

Pattern Recognit., 2025

Incomplete multi-view subspace clustering based on robust matrix completion.

Lei Xing, Xinhu Zheng, Yao Lu, Badong Chen

Neurocomputing, 2025

2024

Incomplete Multi-View Clustering via Correntropy and Complement Consensus Learning.

Lei Xing, Yawen Song, Badong Chen, Changyuan Yu, Jing Qin

IEEE Trans. Multim., 2024

Robust tensor ring-based graph completion for incomplete multi-view clustering.

Lei Xing, Badong Chen, Changyuan Yu, Jing Qin

Inf. Fusion, 2024

Generalized Trusted Multi-view Classification Framework with Hierarchical Opinion Aggregation.

Long Shi, Chuanqing Tang, Huangyi Deng, Cai Xu, Lei Xing, Badong Chen

CoRR, 2024

2023

Mixture correntropy based robust multi-view K-means clustering.

Lei Xing, Haiquan Zhao, Zhiping Lin, Badong Chen

Knowl. Based Syst., February, 2023

2021

Effects of Outliers on the Maximum Correntropy Estimation: A Robustness Analysis.

Badong Chen, Lei Xing, Haiquan Zhao, Shaoyi Du, José C. Príncipe

IEEE Trans. Syst. Man Cybern. Syst., 2021

Correntropy-Based Multiview Subspace Clustering.

Lei Xing, Badong Chen, Shaoyi Du, Yuantao Gu, Nanning Zheng

IEEE Trans. Cybern., 2021

Robust High-Order Manifold Constrained Low Rank Representation for Subspace Clustering.

Lei Xing, Badong Chen, Jianji Wang, Shaoyi Du, Jiuwen Cao

IEEE Trans. Circuits Syst. Video Technol., 2021

2020

Adaptive filtering with quantized minimum error entropy criterion.

Zhuang Li, Lei Xing, Badong Chen

Signal Process., 2020

Robust Sparse Channel Estimation Based on Maximum Mixture Correntropy Criterion.

Mingfei Lu, Lei Xing, Nanning Zheng, Badong Chen

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Quantized Minimum Error Entropy Criterion.

Badong Chen, Lei Xing, Nanning Zheng, José C. Príncipe

IEEE Trans. Neural Networks Learn. Syst., 2019

2018

Insights Into the Robustness of Minimum Error Entropy Estimation.

Badong Chen, Lei Xing, Bin Xu, Haiquan Zhao, José C. Príncipe

IEEE Trans. Neural Networks Learn. Syst., 2018

Robust Learning With Kernel Mean p-Power Error Loss.

Badong Chen, Lei Xing, Xin Wang, Jing Qin, Nanning Zheng

IEEE Trans. Cybern., 2018

Robust Locality Preserving Projection Based on Kernel Risk-Sensitive Loss.

Lei Xing, Yunqi Mi, Yuanhao Li, Badong Chen

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering.

Badong Chen, Lei Xing, Bin Xu, Haiquan Zhao, Nanning Zheng, José C. Príncipe

IEEE Trans. Signal Process., 2017

Building Up a Robust Risk Mathematical Platform to Predict Colorectal Cancer.

Le Zhang, Chunqiu Zheng, Tian Li, Lei Xing, Han Zeng, Tingting Li, Huan Yang, Jia Cao, Badong Chen, Ziyuan Zhou

Complex., 2017

2016

Generalized Correntropy for Robust Adaptive Filtering.

Badong Chen, Lei Xing, Haiquan Zhao, Nanning Zheng, José C. Príncipe

IEEE Trans. Signal Process., 2016

Developing a robust colorectal cancer (CRC) risk predictive model with the big genetic and environment related CRC data.

Chunqiu Zheng, Lei Xing, Tian Li, Tingting Li, Huan Yang, Jia Cao, Badong Chen, Ziyuan Zhou, Le Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

Smoothed least mean p-power error criterion for adaptive filtering.

Badong Chen, Lei Xing, Zongze Wu, Junli Liang, José C. Príncipe, Nanning Zheng

Digit. Signal Process., 2015

2014

Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion.

Badong Chen, Lei Xing, Junli Liang, Nanning Zheng, José C. Príncipe

IEEE Signal Process. Lett., 2014