Dexian Wang

According to our database, Dexian Wang authored at least 18 papers between 2014 and 2023.

Collaborative distances:

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

2023

Fast attribute reduction via inconsistent equivalence classes for large-scale data.

Guoqiang Wang, Pengfei Zhang, Dexian Wang, Hongmei Chen, Tianrui Li

Int. J. Approx. Reason., December, 2023

A multi-view clustering algorithm based on deep semi-NMF.

Dexian Wang, Tianrui Li, Wei Huang, Zhipeng Luo, Ping Deng, Pengfei Zhang, Minbo Ma

Inf. Fusion, November, 2023

A Possibilistic Information Fusion-Based Unsupervised Feature Selection Method Using Information Quality Measures.

Pengfei Zhang, Tianrui Li, Zhong Yuan, Zhixuan Deng, Guoqiang Wang, Dexian Wang, Fan Zhang

IEEE Trans. Fuzzy Syst., September, 2023

FedCKE: Cross-Domain Knowledge Graph Embedding in Federated Learning.

Wei Huang, Jia Liu, Tianrui Li, Shenggong Ji, Dexian Wang, Tianqiang Huang

IEEE Trans. Big Data, June, 2023

A multi-source information fusion model for outlier detection.

Pengfei Zhang, Tianrui Li, Guoqiang Wang, Dexian Wang, Pei Lai, Fan Zhang

Inf. Fusion, May, 2023

Multi-view clustering guided by unconstrained non-negative matrix factorization.

Ping Deng, Tianrui Li, Dexian Wang, Hongjun Wang, Hong Peng, Shi-Jinn Horng

Knowl. Based Syst., April, 2023

A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering.

Dexian Wang, Tianrui Li, Ping Deng, Jia Liu, Wei Huang, Fan Zhang

IEEE Trans. Big Data, February, 2023

A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization.

Dexian Wang, Tianrui Li, Ping Deng, Fan Zhang, Wei Huang, Pengfei Zhang, Jia Liu

ACM Trans. Knowl. Discov. Data, 2023

Graph Regularized Sparse Non-Negative Matrix Factorization for Clustering.

Ping Deng, Tianrui Li, Hongjun Wang, Dexian Wang, Shi-Jinn Horng, Rui Liu

IEEE Trans. Comput. Soc. Syst., 2023

2022

Dual graph-regularized sparse concept factorization for clustering.

Dexian Wang, Tianrui Li, Ping Deng, Hongjun Wang, Pengfei Zhang

Inf. Sci., 2022

Fairness and accuracy in horizontal federated learning.

Wei Huang, Tianrui Li, Dexian Wang, Shengdong Du, Junbo Zhang, Tianqiang Huang

Inf. Sci., 2022

2021

Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms.

Xin Luo, Dexian Wang, MengChu Zhou, Huaqiang Yuan

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

Multi-source information fusion based on rough set theory: A review.

Pengfei Zhang, Tianrui Li, Guoqiang Wang, Chuan Luo, Hongmei Chen, Junbo Zhang, Dexian Wang, Zeng Yu

Inf. Fusion, 2021

2020

Fairness and Accuracy in Federated Learning.

Wei Huang, Tianrui Li, Dexian Wang, Shengdong Du, Junbo Zhang

CoRR, 2020

2019

Elastic-net regularized latent factor analysis-based models for recommender systems.

Dexian Wang, Yanbin Chen, Junxiao Guo, Xiaoyu Shi, Chunlin He, Xin Luo, Huaqiang Yuan

Neurocomputing, 2019

2018

Softmax Regression by Using Unsupervised Ensemble Learning.

Ping Deng, Hongjun Wang, Shi-Jinn Horng, Dexian Wang, Ji Zhang, Hengxue Zhou

Proceedings of the 9th International Symposium on Parallel Architectures, 2018

2015

Procedural Approach for 3D Modeling of City Buildings.

Wenhua Zhu, Dexian Wang, Benoît Eynard, Matthieu Bricogne, Sebastien Remy

Proceedings of the Product Lifecycle Management in the Era of Internet of Things, 2015

2014

Modeling of forced convection heat transfer from the swing plate on an industrial robot.

Qi Lu, Dexian Wang

Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014