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Dexian Wang
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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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last updated on 2024-12-02 21:24 CET by the dblp team
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