Zuowei Zhang

According to our database, Zuowei Zhang authored at least 22 papers between 2019 and 2024.

Collaborative distances:

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

2024

A New Progressive Multisource Domain Adaptation Network With Weighted Decision Fusion.

Zhun-ga Liu, Liang-Bo Ning, Zuo-Wei Zhang

IEEE Trans. Neural Networks Learn. Syst., January, 2024

2023

Deep Hyperspherical Clustering for Skin Lesion Medical Image Segmentation.

Zuowei Zhang, Songtao Ye, Zechao Liu, Hao Wang, Weiping Ding

IEEE J. Biomed. Health Informatics, August, 2023

Mining and reasoning of data uncertainty-induced imprecision in deep image classification.

Zuowei Zhang, Liangbo Ning, Zechao Liu, Qingyu Yang, Weiping Ding

Inf. Fusion, August, 2023

Orientational Distribution Learning With Hierarchical Spatial Attention for Open Set Recognition.

Zhun-ga Liu, Yimin Fu, Quan Pan, Zuowei Zhang

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

On Computing Evidential Centroid Through Conjunctive Combination: An Impossibility Theorem.

Yiru Zhang, Sébastien Destercke, Zuowei Zhang, Tassadit Bouadi, Arnaud Martin

IEEE Trans. Artif. Intell., June, 2023

BSC: Belief Shift Clustering.

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

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

View-Semantic Transformer With Enhancing Diversity for Sparse-View SAR Target Recognition.

Zhunga Liu, Feiyan Wu, Zaidao Wen, Zuowei Zhang

IEEE Trans. Geosci. Remote. Sens., 2023

Progressive Learning Vision Transformer for Open Set Recognition of Fine-Grained Objects in Remote Sensing Images.

Yimin Fu, Zhunga Liu, Zuowei Zhang

IEEE Trans. Geosci. Remote. Sens., 2023

A New Belief-Based Incomplete Pattern Unsupervised Classification Method : Extended Abstract.

Zuowei Zhang, Zhe Liu, Zongfang Ma, Yiru Zhang, Hao Wang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Representation of uncertainty and imprecision between clusters with belief functions. (Représentation de l'incertitude et de l'imprécision entre les clusters avec des fonctions de croyance).

Zuowei Zhang

PhD thesis, 2022

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

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

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

A New Belief-Based Incomplete Pattern Unsupervised Classification Method.

Zuowei Zhang, Zhe Liu, Zongfang Ma, Yiru Zhang, Hao Wang

IEEE Trans. Knowl. Data Eng., 2022

Unsupervised Change Detection From Heterogeneous Data Based on Image Translation.

Zhunga Liu, Zuo-Wei Zhang, Quan Pan, Liang-Bo Ning

IEEE Trans. Geosci. Remote. Sens., 2022

Belief Combination of Classifiers for Incomplete Data.

Zuowei Zhang, Songtao Ye, Yiru Zhang, Weiping Ding, Hao Wang

IEEE CAA J. Autom. Sinica, 2022

Heterogeneous Image Fusion for Target Recognition Based on Evidence Reasoning.

Shuyue Wang, Zhunga Liu, Zuowei Zhang, Yang Li

Proceedings of the Belief Functions: Theory and Applications, 2022

Reliability-Based Imbalanced Data Classification with Dempster-Shafer Theory.

Hong-peng Tian, Zuo-wei Zhang, Arnaud Martin, Zhunga Liu

Proceedings of the Belief Functions: Theory and Applications, 2022

2021

Dynamic evidential clustering algorithm.

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

Knowl. Based Syst., 2021

Evidence integration credal classification algorithm versus missing data distributions.

Zuo-wei Zhang, Zhe Liu, Zong-fa Ma, Jihuan He, Xingyu Zhu

Inf. Sci., 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

A new incomplete pattern belief classification method with multiple estimations based on KNN.

Zongfang Ma, Hong-peng Tian, Zechao Liu, Zuo-wei Zhang

Appl. Soft Comput., 2020

2019

A new pattern classification improvement method with local quality matrix based on K-NN.

Zhun-ga Liu, Zuowei Zhang, Yu Liu, Jean Dezert, Quan Pan

Knowl. Based Syst., 2019