Kuang Zhou - RankMe

55 papers B 3C 6Journal 36Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HALO: Hardness-aware bilevel-inspired contrastive graph clustering. Int. J. Approx. Reason. Yuchen Zhu, Kuang Zhou, Haishan Ye, Guang Dai, Ivor W. Tsang
2026	J	`jnl`	Importance Ranking in Complex Networks via Influence-Aware Causal Node Embedding. IEEE Trans. Netw. Sci. Eng. Jiahui Gao, Kuang Zhou, Yuchen Zhu, Keyu Wu
2026	J	`jnl`	Reliability Analysis Based on Evidential Likelihood for Uncertain Mixed Weibull Distribution. IEEE Trans. Reliab. Kuang Zhou, Zixin Zhang, Haomin Xu, Liang Wang, Yimin Shi
2026	J	`jnl`	SEV-Field: A Crop Field Extraction Framework for High-Resolution Imagery via Semantic Segmentation and Boundary Connection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Lingyuan Zhao, Qun Wang, Kuang Zhou, Zifei Luo, Bo Yang, Yan Zhang
2026	J	`jnl`	TDCC: A Trustworthy Deep Credal Clustering Method for Uncertain Data. IEEE Trans. Cybern. Yuchen Zhu, Kuang Zhou, Fabio Cuzzolin
2025	J	`jnl`	Influence-aware Causal Autoencoder Network for Node Importance Ranking in Complex Networks. CoRR Jiahui Gao, Kuang Zhou, Yuchen Zhu
2025	J	`jnl`	Integrating causal representations with domain adaptation for fault diagnosis. Reliab. Eng. Syst. Saf. Ming Jiang, Kuang Zhou, Jiahui Gao, Fode Zhang
2025	B	`conf`	Key Node Identification for Graphs Based on Graph Attention Networks. SMC Kuang Zhou, Jiahui Gao
2025	J	`jnl`	Learning Causal Representations Based on a GAE Embedded Autoencoder. IEEE Trans. Knowl. Data Eng. Kuang Zhou, Ming Jiang, Bogdan Gabrys, Yong Xu
2025	J	`jnl`	MvWECM: Multi-view Weighted Evidential C-Means clustering. Pattern Recognit. Kuang Zhou, Yuchen Zhu, Mei Guo, Ming Jiang
2023	J	`jnl`	A flexible RUL prediction method based on poly-cell LSTM with applications to lithium battery data. Reliab. Eng. Syst. Saf. Jiaolong Wang, Fode Zhang, Jianchuan Zhang, Wen Liu, Kuang Zhou
2023	J	`jnl`	Acceptance-Aware Mobile Crowdsourcing Worker Recruitment in Social Networks. IEEE Trans. Mob. Comput. Liang Wang, Dingqi Yang, Zhiwen Yu, Qi Han, En Wang, Kuang Zhou, Bin Guo
2023	J	`jnl`	BSC: Belief Shift Clustering. IEEE Trans. Syst. Man Cybern. Syst. Zuo-wei Zhang, Zhun-ga Liu, Arnaud Martin, Kuang Zhou
2023	B	`conf`	GeAE: GAE-Embedded Autoencoder Based Causal Representation for Robust Domain Adaptation. SMC Kuang Zhou, Jiang Ming, Bogdan Gabrys
2022	—	`conf`	Causal Transfer Evidential Clustering. BELIEF Kuang Zhou, Ming Jiang
2022	J	`jnl`	Evidential prototype-based clustering based on transfer learning. Int. J. Approx. Reason. Kuang Zhou, Mei Guo, Arnaud Martin
2022	J	`jnl`	Learning a Credal Classifier With Optimized and Adaptive Multiestimation for Missing Data Imputation. IEEE Trans. Syst. Man Cybern. Syst. Zuo-wei Zhang, Hongpeng Tian, Ling-Zhi Yan, Arnaud Martin, Kuang Zhou
2021	J	`jnl`	Combination of Transferable Classification With Multisource Domain Adaptation Based on Evidential Reasoning. IEEE Trans. Neural Networks Learn. Syst. Zhunga Liu, Linqing Huang, Kuang Zhou, Thierry Denoeux
2021	—	`conf`	Credal Clustering for Imbalanced Data. BELIEF Zuowei Zhang, Zhunga Liu, Kuang Zhou, Arnaud Martin, Yiru Zhang
2021	J	`jnl`	Dynamic evidential clustering algorithm. Knowl. Based Syst. Zuo-wei Zhang, Zhe Liu, Arnaud Martin, Zhun-ga Liu, Kuang Zhou
2021	J	`jnl`	Estimation for Entropy and Parameters of Generalized Bilal Distribution under Adaptive Type II Progressive Hybrid Censoring Scheme. Entropy Xiaolin Shi, Yimin Shi, Kuang Zhou
2021	—	`conf`	Evidential Clustering Based on Transfer Learning. BELIEF Kuang Zhou, Mei Guo, Arnaud Martin
2021	—	`conf`	Evidential Weighted Multi-view Clustering. BELIEF Kuang Zhou, Mei Guo, Ming Jiang
2021	—	`conf`	Fast Unfolding of Credal Partitions in Evidential Clustering. BELIEF Zuowei Zhang, Arnaud Martin, Zhunga Liu, Kuang Zhou, Yiru Zhang
2020	J	`jnl`	Evidential Estimation of an Uncertain Mixed Exponential Distribution under Progressive Censoring. Entropy Kuang Zhou, Yimin Shi
2018	J	`jnl`	A belief combination rule for a large number of sources. CoRR Kuang Zhou, Arnaud Martin, Quan Pan
2018	—	`conf`	Evidential Community Detection Based on Density Peaks. BELIEF Kuang Zhou, Quan Pan, Arnaud Martin
2018	J	`jnl`	Evidential community detection based on density peaks. CoRR Kuang Zhou, Quan Pan, Arnaud Martin
2018	J	`jnl`	SELP: Semi-supervised evidential label propagation algorithm for graph data clustering. Int. J. Approx. Reason. Kuang Zhou, Arnaud Martin, Quan Pan, Zhunga Liu
2018	C	`conf`	Uncertain Pattern Classification Based on Evidence Fusion in Different Domains. FUSION Zhunga Liu, Linqing Huang, Quan Pan, Kuang Zhou, Rui Liu
2017	C	`conf`	Evidence combination for a large number of sources. FUSION Kuang Zhou, Arnaud Martin, Quan Pan
2017	J	`jnl`	Evidence combination for a large number of sources. CoRR Kuang Zhou, Arnaud Martin, Quan Pan
2017	C	`conf`	Pattern classification based on the combination of the selected sources of evidence. FUSION Zhunga Liu, Yongchao Liu, Kuang Zhou, You He
2017	J	`jnl`	The Advantage of Evidential Attributes in Social Networks. CoRR Salma Ben Dhaou, Kuang Zhou, Mouloud Kharoune, Arnaud Martin, Boutheina Ben Yaghlane
2017	C	`conf`	The advantage of evidential attributes in social networks. FUSION Salma Ben Dhaou, Kuang Zhou, Mouloud Kharoune, Arnaud Martin, Boutheina Ben Yaghlane
2016	J	`jnl`	ECMdd: Evidential c-medoids clustering with multiple prototypes. CoRR Kuang Zhou, Arnaud Martin, Quan Pan, Zhunga Liu
2016	J	`jnl`	ECMdd: Evidential c-medoids clustering with multiple prototypes. Pattern Recognit. Kuang Zhou, Arnaud Martin, Quan Pan, Zhun-ga Liu
2016	C	`conf`	Evidential Label Propagation Algorithm for Graphs. FUSION Kuang Zhou, Arnaud Martin, Quan Pan, Zhunga Liu
2016	J	`jnl`	Evidential Label Propagation Algorithm for Graphs. CoRR Kuang Zhou, Arnaud Martin, Quan Pan, Zhun-ga Liu
2016	—	`conf`	Semi-supervised Evidential Label Propagation Algorithm for Graph Data. BELIEF Kuang Zhou, Arnaud Martin, Quan Pan
2016	J	`jnl`	Semi-supervised evidential label propagation algorithm for graph data. CoRR Kuang Zhou, Arnaud Martin, Quan Pan
2016	B	`conf`	Silent Battery Draining Attack against Android Systems by Subverting Doze Mode. GLOBECOM Ting Chen, Haiyang Tang, Xiaodong Lin, Kuang Zhou, Xiaosong Zhang
2016	J	`jnl`	The Belief Noisy-OR Model Applied to Network Reliability Analysis. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Kuang Zhou, Arnaud Martin, Quan Pan
2016	J	`jnl`	The belief noisy-or model applied to network reliability analysis. CoRR Kuang Zhou, Arnaud Martin, Quan Pan
2015	J	`jnl`	A similarity-based community detection method with multiple prototype representation. CoRR Kuang Zhou, Arnaud Martin, Quan Pan
2015	J	`jnl`	Belief Hierarchical Clustering. CoRR Wiem Maalel, Kuang Zhou, Arnaud Martin, Zied Elouedi
2015	J	`jnl`	Evidential Communities for Complex Networks. CoRR Kuang Zhou, Arnaud Martin, Quan Pan
2015	C	`conf`	Evidential relational clustering using medoids. FUSION Kuang Zhou, Arnaud Martin, Quan Pan, Zhunga Liu
2015	J	`jnl`	Evidential relational clustering using medoids. CoRR Kuang Zhou, Arnaud Martin, Quan Pan, Zhunga Liu
2015	J	`jnl`	Evidential-EM Algorithm Applied to Progressively Censored Observations. CoRR Kuang Zhou, Arnaud Martin, Quan Pan
2015	J	`jnl`	Median evidential c-means algorithm and its application to community detection. CoRR Kuang Zhou, Arnaud Martin, Quan Pan, Zhunga Liu
2015	J	`jnl`	Median evidential c-means algorithm and its application to community detection. Knowl. Based Syst. Kuang Zhou, Arnaud Martin, Quan Pan, Zhunga Liu
2014	—	`conf`	Belief Hierarchical Clustering. Belief Functions Wiem Maalel, Kuang Zhou, Arnaud Martin, Zied Elouedi
2014	—	`conf`	Evidential Communities for Complex Networks. IPMU (1) Kuang Zhou, Arnaud Martin, Quan Pan
2014	—	`conf`	Evidential-EM Algorithm Applied to Progressively Censored Observations. IPMU (3) Kuang Zhou, Arnaud Martin, Quan Pan