Kuang Zhou

According to our database, Kuang Zhou authored at least 34 papers between 2014 and 2025.

Collaborative distances:

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

2025

MvWECM: Multi-view Weighted Evidential C-Means clustering.

Kuang Zhou, Yuchen Zhu, Mei Guo, Ming Jiang

Pattern Recognit., 2025

2023

BSC: Belief Shift Clustering.

Zuo-Wei Zhang, Zhun-ga Liu, Arnaud Martin, Kuang Zhou

IEEE Trans. Syst. Man Cybern. Syst., March, 2023

Acceptance-Aware Mobile Crowdsourcing Worker Recruitment in Social Networks.

Liang Wang, Dingqi Yang, Zhiwen Yu, Qi Han, En Wang, Kuang Zhou, Bin Guo

IEEE Trans. Mob. Comput., 2023

A flexible RUL prediction method based on poly-cell LSTM with applications to lithium battery data.

Jiaolong Wang, Fode Zhang, Jianchuan Zhang, Wen Liu, Kuang Zhou

Reliab. Eng. Syst. Saf., 2023

GeAE: GAE-Embedded Autoencoder Based Causal Representation for Robust Domain Adaptation.

Kuang Zhou, Jiang Ming, Bogdan Gabrys

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022

Learning a Credal Classifier With Optimized and Adaptive Multiestimation for Missing Data Imputation.

Zuo-Wei Zhang, Hongpeng Tian, Ling-Zhi Yan, Arnaud Martin, Kuang Zhou

IEEE Trans. Syst. Man Cybern. Syst., 2022

Evidential prototype-based clustering based on transfer learning.

Kuang Zhou, Mei Guo, Arnaud Martin

Int. J. Approx. Reason., 2022

Causal Transfer Evidential Clustering.

Kuang Zhou, Ming Jiang

Proceedings of the Belief Functions: Theory and Applications, 2022

2021

Combination of Transferable Classification With Multisource Domain Adaptation Based on Evidential Reasoning.

Zhunga Liu, Linqing Huang, Kuang Zhou, Thierry Denoeux

IEEE Trans. Neural Networks Learn. Syst., 2021

Dynamic evidential clustering algorithm.

Zuo-wei Zhang, Zhe Liu, Arnaud Martin, Zhun-ga Liu, Kuang Zhou

Knowl. Based Syst., 2021

Estimation for Entropy and Parameters of Generalized Bilal Distribution under Adaptive Type II Progressive Hybrid Censoring Scheme.

Xiaolin Shi, Yimin Shi, Kuang Zhou

Entropy, 2021

Evidential Clustering Based on Transfer Learning.

Kuang Zhou, Mei Guo, Arnaud Martin

Proceedings of the Belief Functions: Theory and Applications, 2021

Evidential Weighted Multi-view Clustering.

Kuang Zhou, Mei Guo, Ming Jiang

Proceedings of the Belief Functions: Theory and Applications, 2021

Fast Unfolding of Credal Partitions in Evidential Clustering.

Zuowei Zhang, Arnaud Martin, Zhunga Liu, Kuang Zhou, Yiru Zhang

Proceedings of the Belief Functions: Theory and Applications, 2021

Credal Clustering for Imbalanced Data.

Zuowei Zhang, Zhunga Liu, Kuang Zhou, Arnaud Martin, Yiru Zhang

Proceedings of the Belief Functions: Theory and Applications, 2021

2020

Evidential Estimation of an Uncertain Mixed Exponential Distribution under Progressive Censoring.

Kuang Zhou, Yimin Shi

Entropy, 2020

2018

SELP: Semi-supervised evidential label propagation algorithm for graph data clustering.

Kuang Zhou, Arnaud Martin, Quan Pan, Zhunga Liu

Int. J. Approx. Reason., 2018

A belief combination rule for a large number of sources.

Kuang Zhou, Arnaud Martin, Quan Pan

CoRR, 2018

Uncertain Pattern Classification Based on Evidence Fusion in Different Domains.

Zhunga Liu, Linqing Huang, Quan Pan, Kuang Zhou, Rui Liu

Proceedings of the 21st International Conference on Information Fusion, 2018

Evidential Community Detection Based on Density Peaks.

Kuang Zhou, Quan Pan, Arnaud Martin

Proceedings of the Belief Functions: Theory and Applications, 2018

2017

Evidence combination for a large number of sources.

Kuang Zhou, Arnaud Martin, Quan Pan

Proceedings of the 20th International Conference on Information Fusion, 2017

Pattern classification based on the combination of the selected sources of evidence.

Zhunga Liu, Yongchao Liu, Kuang Zhou, You He

Proceedings of the 20th International Conference on Information Fusion, 2017

The advantage of evidential attributes in social networks.

Salma Ben Dhaou, Kuang Zhou, Mouloud Kharoune, Arnaud Martin, Boutheina Ben Yaghlane

Proceedings of the 20th International Conference on Information Fusion, 2017

2016

ECMdd: Evidential c-medoids clustering with multiple prototypes.

Kuang Zhou, Arnaud Martin, Quan Pan, Zhun-ga Liu

Pattern Recognit., 2016

The Belief Noisy-OR Model Applied to Network Reliability Analysis.

Kuang Zhou, Arnaud Martin, Quan Pan

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016

Silent Battery Draining Attack against Android Systems by Subverting Doze Mode.

Ting Chen, Haiyang Tang, Xiaodong Lin, Kuang Zhou, Xiaosong Zhang

Proceedings of the 2016 IEEE Global Communications Conference, 2016

Evidential Label Propagation Algorithm for Graphs.

Kuang Zhou, Arnaud Martin, Quan Pan, Zhunga Liu

Proceedings of the 19th International Conference on Information Fusion, 2016

Semi-supervised Evidential Label Propagation Algorithm for Graph Data.

Kuang Zhou, Arnaud Martin, Quan Pan

Proceedings of the Belief Functions: Theory and Applications, 2016

2015

Median evidential c-means algorithm and its application to community detection.

Kuang Zhou, Arnaud Martin, Quan Pan, Zhunga Liu

Knowl. Based Syst., 2015

A similarity-based community detection method with multiple prototype representation.

Kuang Zhou, Arnaud Martin, Quan Pan

CoRR, 2015

Evidential relational clustering using medoids.

Kuang Zhou, Arnaud Martin, Quan Pan, Zhunga Liu

Proceedings of the 18th International Conference on Information Fusion, 2015

2014

Evidential-EM Algorithm Applied to Progressively Censored Observations.

Kuang Zhou, Arnaud Martin, Quan Pan

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Evidential Communities for Complex Networks.

Kuang Zhou, Arnaud Martin, Quan Pan

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Belief Hierarchical Clustering.

Wiem Maalel, Kuang Zhou, Arnaud Martin, Zied Elouedi

Proceedings of the Belief Functions: Theory and Applications, 2014