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ORCIDDexian Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j18]Dexian Wang
, Qilong Liu, Jinghui Yang, Guoli Xing:
Path Planning for Substation Inspection Robots Based on a Fusion Algorithm Incorporation JPS and DWA. IEEE Access 12: 150180-150188 (2024)- [j17]Pengfei Zhang, Dexian Wang, Zheng Yu, Yujie Zhang, Tao Jiang, Tianrui Li:
A multi-scale information fusion-based multiple correlations for unsupervised attribute selection. Inf. Fusion 106: 102276 (2024) - [j16]Wei Huang, Dexian Wang, Xiaocao Ouyang, Jihong Wan, Jia Liu, Tianrui Li:
Multimodal federated learning: Concept, methods, applications and future directions. Inf. Fusion 112: 102576 (2024) - [j15]Dexian Wang, Pengfei Zhang, Ping Deng, Qiao-Feng Wu, Wei Chen, Tao Jiang, Wei Huang, Tianrui Li:
An autoencoder-like deep NMF representation learning algorithm for clustering. Knowl. Based Syst. 305: 112597 (2024) - 2023
- [j14]Guoqiang Wang, Pengfei Zhang, Dexian Wang, Hongmei Chen, Tianrui Li:
Fast attribute reduction via inconsistent equivalence classes for large-scale data. Int. J. Approx. Reason. 163: 109039 (2023) - [j13]Pengfei Zhang, Tianrui Li, Guoqiang Wang, Dexian Wang, Pei Lai, Fan Zhang:
A multi-source information fusion model for outlier detection. Inf. Fusion 93: 192-208 (2023) - [j12]Dexian Wang, Tianrui Li, Wei Huang, Zhipeng Luo, Ping Deng, Pengfei Zhang, Minbo Ma:
A multi-view clustering algorithm based on deep semi-NMF. Inf. Fusion 99: 101884 (2023) - [j11]Ping Deng, Tianrui Li, Dexian Wang, Hongjun Wang, Hong Peng, Shi-Jinn Horng:
Multi-view clustering guided by unconstrained non-negative matrix factorization. Knowl. Based Syst. 266: 110425 (2023) - [j10]Dexian Wang, Tianrui Li, Ping Deng, Jia Liu, Wei Huang, Fan Zhang:
A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering. IEEE Trans. Big Data 9(1): 328-340 (2023) - [j9]Wei Huang, Jia Liu, Tianrui Li, Shenggong Ji, Dexian Wang, Tianqiang Huang:
FedCKE: Cross-Domain Knowledge Graph Embedding in Federated Learning. IEEE Trans. Big Data 9(3): 792-804 (2023) - [j8]Ping Deng, Tianrui Li, Hongjun Wang, Dexian Wang, Shi-Jinn Horng, Rui Liu:
Graph Regularized Sparse Non-Negative Matrix Factorization for Clustering. IEEE Trans. Comput. Soc. Syst. 10(3): 910-921 (2023) - [j7]Pengfei Zhang, Tianrui Li, Zhong Yuan, Zhixuan Deng, Guoqiang Wang, Dexian Wang, Fan Zhang:
A Possibilistic Information Fusion-Based Unsupervised Feature Selection Method Using Information Quality Measures. IEEE Trans. Fuzzy Syst. 31(9): 2975-2988 (2023) - [j6]Dexian Wang, Tianrui Li, Ping Deng, Fan Zhang, Wei Huang, Pengfei Zhang, Jia Liu:
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization. ACM Trans. Knowl. Discov. Data 17(7): 99:1-99:20 (2023) - 2022
- [j5]Wei Huang, Tianrui Li, Dexian Wang, Shengdong Du, Junbo Zhang, Tianqiang Huang:
Fairness and accuracy in horizontal federated learning. Inf. Sci. 589: 170-185 (2022) - [j4]Dexian Wang, Tianrui Li, Ping Deng, Hongjun Wang, Pengfei Zhang:
Dual graph-regularized sparse concept factorization for clustering. Inf. Sci. 607: 1074-1088 (2022) - 2021
- [j3]Pengfei Zhang, Tianrui Li, Guoqiang Wang, Chuan Luo, Hongmei Chen, Junbo Zhang, Dexian Wang, Zeng Yu:
Multi-source information fusion based on rough set theory: A review. Inf. Fusion 68: 85-117 (2021) - [j2]Xin Luo, Dexian Wang, MengChu Zhou, Huaqiang Yuan:
Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms. IEEE Trans. Syst. Man Cybern. Syst. 51(2): 916-926 (2021) - 2020
- [i1]Wei Huang, Tianrui Li, Dexian Wang, Shengdong Du, Junbo Zhang:
Fairness and Accuracy in Federated Learning. CoRR abs/2012.10069 (2020)
2010 – 2019
- 2019
- [j1]Dexian Wang, Yanbin Chen, Junxiao Guo, Xiaoyu Shi, Chunlin He, Xin Luo, Huaqiang Yuan:
Elastic-net regularized latent factor analysis-based models for recommender systems. Neurocomputing 329: 66-74 (2019) - 2018
- [c4]Dexian Wang, Ping Deng, Chunlin He, Baolin Li, Rui Liu:
A Latent Factor Model Based on Elastic Network for Recommender Systems. BDET 2018: 78-86 - [c3]Ping Deng, Hongjun Wang, Shi-Jinn Horng, Dexian Wang, Ji Zhang, Hengxue Zhou:
Softmax Regression by Using Unsupervised Ensemble Learning. PAAP 2018: 196-201 - 2015
- [c2]Wenhua Zhu, Dexian Wang, Benoît Eynard, Matthieu Bricogne, Sebastien Remy:
Procedural Approach for 3D Modeling of City Buildings. PLM 2015: 137-148 - 2014
- [c1]Qi Lu, Dexian Wang:
Modeling of forced convection heat transfer from the swing plate on an industrial robot. CASE 2014: 202-207
Coauthor Index
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