Belief Hierarchical Clustering. - Wiem Maalel; Kuang Zhou; Arnaud Martin 001; Zied Elouedi (Belief Functions, 2014)

Evidential Communities for Complex Networks. - Kuang Zhou; Arnaud Martin 001; Quan Pan 001 (IPMU (1), 2014)

Evidential-EM Algorithm Applied to Progressively Censored Observations. - Kuang Zhou; Arnaud Martin 001; Quan Pan 001 (IPMU (3), 2014)

Evidential relational clustering using medoids. - Kuang Zhou; Arnaud Martin 001; Quan Pan 001; Zhunga Liu (FUSION, 2015)

A similarity-based community detection method with multiple prototype representation. - Kuang Zhou; Arnaud Martin 001; Quan Pan 001 (CoRR, 2015)

Median evidential c-means algorithm and its application to community detection. - Kuang Zhou; Arnaud Martin 001; Quan Pan 001; Zhunga Liu (Knowl. Based Syst., 2015)

Semi-supervised Evidential Label Propagation Algorithm for Graph Data. - Kuang Zhou; Arnaud Martin 001; Quan Pan 001 (BELIEF, 2016)

Evidential Label Propagation Algorithm for Graphs. - Kuang Zhou; Arnaud Martin 001; Quan Pan 001; Zhunga Liu (FUSION, 2016)

Silent Battery Draining Attack against Android Systems by Subverting Doze Mode. - Ting Chen 002; Haiyang Tang; Xiaodong Lin 001; Kuang Zhou; Xiaosong Zhang 001 (GLOBECOM, 2016)

The Belief Noisy-OR Model Applied to Network Reliability Analysis. - Kuang Zhou; Arnaud Martin 001; Quan Pan 001 (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016)

ECMdd: Evidential c-medoids clustering with multiple prototypes. - Kuang Zhou; Arnaud Martin 001; Quan Pan 001; Zhun-ga Liu (Pattern Recognit., 2016)

The advantage of evidential attributes in social networks. - Salma Ben Dhaou; Kuang Zhou; Mouloud Kharoune; Arnaud Martin 001; Boutheina Ben Yaghlane (FUSION, 2017)

Pattern classification based on the combination of the selected sources of evidence. - Zhunga Liu; Yongchao Liu; Kuang Zhou; You He (FUSION, 2017)

Evidence combination for a large number of sources. - Kuang Zhou; Arnaud Martin 001; Quan Pan 001 (FUSION, 2017)

Evidential Community Detection Based on Density Peaks. - Kuang Zhou; Quan Pan 001; Arnaud Martin 001 (BELIEF, 2018)

Uncertain Pattern Classification Based on Evidence Fusion in Different Domains. - Zhunga Liu; Linqing Huang; Quan Pan 001; Kuang Zhou; Rui Liu (FUSION, 2018)

A belief combination rule for a large number of sources. - Kuang Zhou; Arnaud Martin 001; Quan Pan 001 (CoRR, 2018)

SELP: Semi-supervised evidential label propagation algorithm for graph data clustering. - Kuang Zhou; Arnaud Martin 001; Quan Pan 001; Zhunga Liu (Int. J. Approx. Reason., 2018)

Evidential Estimation of an Uncertain Mixed Exponential Distribution under Progressive Censoring. - Kuang Zhou; Yimin Shi 002 (Entropy, 2020)

Credal Clustering for Imbalanced Data. - Zuowei Zhang 001; Zhunga Liu; Kuang Zhou; Arnaud Martin 001; Yiru Zhang (BELIEF, 2021)

Fast Unfolding of Credal Partitions in Evidential Clustering. - Zuowei Zhang 001; Arnaud Martin 001; Zhunga Liu; Kuang Zhou; Yiru Zhang (BELIEF, 2021)

Evidential Weighted Multi-view Clustering. - Kuang Zhou; Mei Guo; Ming Jiang (BELIEF, 2021)

Evidential Clustering Based on Transfer Learning. - Kuang Zhou; Mei Guo; Arnaud Martin 001 (BELIEF, 2021)

Estimation for Entropy and Parameters of Generalized Bilal Distribution under Adaptive Type II Progressive Hybrid Censoring Scheme. - Xiaolin Shi; Yimin Shi 002; Kuang Zhou (Entropy, 2021)

Dynamic evidential clustering algorithm. - Zuo-wei Zhang 001; Zhe Liu 041; Arnaud Martin 001; Zhun-ga Liu; Kuang Zhou (Knowl. Based Syst., 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)

Causal Transfer Evidential Clustering. - Kuang Zhou; Ming Jiang (BELIEF, 2022)

Evidential prototype-based clustering based on transfer learning. - Kuang Zhou; Mei Guo; Arnaud Martin 001 (Int. J. Approx. Reason., 2022)

Learning a Credal Classifier With Optimized and Adaptive Multiestimation for Missing Data Imputation. - Zuo-Wei Zhang 001; Hongpeng Tian; Ling-Zhi Yan; Arnaud Martin 001; Kuang Zhou (IEEE Trans. Syst. Man Cybern. Syst., 2022)

GeAE: GAE-Embedded Autoencoder Based Causal Representation for Robust Domain Adaptation. - Kuang Zhou; Jiang Ming; Bogdan Gabrys (SMC, 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)

Acceptance-Aware Mobile Crowdsourcing Worker Recruitment in Social Networks. - Liang Wang 017; Dingqi Yang; Zhiwen Yu 001; Qi Han 001; En Wang; Kuang Zhou; Bin Guo 001 (IEEE Trans. Mob. Comput., 2023)

BSC: Belief Shift Clustering. - Zuo-Wei Zhang 001; Zhun-ga Liu; Arnaud Martin 001; Kuang Zhou (IEEE Trans. Syst. Man Cybern. Syst., 2023)

MvWECM: Multi-view Weighted Evidential C-Means clustering. - Kuang Zhou; Yuchen Zhu; Mei Guo; Ming Jiang (Pattern Recognit., 2025)

Integrating causal representations with domain adaptation for fault diagnosis. - Ming Jiang; Kuang Zhou; Jiahui Gao; Fode Zhang (Reliab. Eng. Syst. Saf., 2025)

Learning Causal Representations Based on a GAE Embedded Autoencoder. - Kuang Zhou; Ming Jiang; Bogdan Gabrys; Yong Xu (IEEE Trans. Knowl. Data Eng., 2025)