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ORCIDNan Zhang 0014
Person information
- affiliation: East China Normal University, School of Computer Science and Technology, Shanghai, China
- affiliation (PhD 2019): China University of Mining and Technology, School of Computer Science and Technology, Xuzhou, Chian
- affiliation (former): Chinese Academy of Sciences, Institute of Computing Technology, Key Laboratory of Intelligent Information Processing, Beijing, China
Other persons with the same name
- Nan Zhang — disambiguation page
- Nan Zhang 0001
![[0000-0002-3870-2505]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3870-2505")
— Xidian University, Institute of Computing Theory and Technology / ISN Lab, Xi'an, China - Nan Zhang 0002 — Michigan State University
- Nan Zhang 0003 — University of Birmingham, UK
- Nan Zhang 0004 — The Pennsylvania State University, University Park, PA, USA (and 1 more)
- Nan Zhang 0005 — University of Central Florida
- Nan Zhang 0006 — Beijing University of Technology
- Nan Zhang 0007 — Chinese Academy of Science, China Knowledge Grid Research Group, China
- Nan Zhang 0009 — University of Kaiserslautern
- Nan Zhang 0010 — National University of Singapore, Multimedia Information Lab
- Nan Zhang 0011 — University of Minnesota
- Nan Zhang 0012 — University of Manchester, School of Chemical Engineering and Analytical Science, UK
- Nan Zhang 0013 — Tsinghua University, Department of Chemical Engineering, Beijing, China
- Nan Zhang 0015 — Capital Medical University, School of Biomedical Engineering, Beijing, China (and 1 more)
- Nan Zhang 0016 — Texas A&M University, College Station, TX, USA
- Nan Zhang 0017 — University of Technology of Troyes, ICD-LM2S, France
- Nan Zhang 0018 — Indiana University Bloomington, USA
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2020 – today
- 2024
[j21]Shiliang Sun, Nan Zhang:
Incomplete Multiview Nonnegative Representation Learning With Graph Completion and Adaptive Neighbors. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4017-4031 (2024)- 2023
- [j20]Wenbo Dong, Shiliang Sun, Jing Zhao, Nan Zhang:
Knowledge graph relation reasoning with variational reinforcement network. Inf. Fusion 100: 101900 (2023) - [j19]Nan Zhang, Shiliang Sun:
Multiview Unsupervised Shapelet Learning for Multivariate Time Series Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4981-4996 (2023) - 2022
- [j18]Nan Zhang, Shiliang Sun:
Incomplete multiview nonnegative representation learning with multiple graphs. Pattern Recognit. 123: 108412 (2022) - [j17]Nan Zhang, Shiliang Sun:
Multiview Graph Restricted Boltzmann Machines. IEEE Trans. Cybern. 52(11): 12414-12428 (2022) - 2020
- [j16]Jian Zhang, Shifei Ding, Nan Zhang, Weikuan Jia:
Adversarial Training Methods for Boltzmann Machines. IEEE Access 8: 4594-4604 (2020) - [j15]Nan Zhang, Shifei Ding, Tongfeng Sun, Hongmei Liao, Lijuan Wang, Zhongzhi Shi:
Multi-view RBM with posterior consistency and domain adaptation. Inf. Sci. 516: 142-157 (2020) - [j14]Nan Zhang, Shifei Ding, Jian Zhang, Xingyu Zhao:
Robust spike-and-slab deep Boltzmann machines for face denoising. Neural Comput. Appl. 32(7): 2815-2827 (2020)
2010 – 2019
- 2019
- [j13]Nan Zhang, Shifei Ding, Hongmei Liao, Weikuan Jia:
Multimodal correlation deep belief networks for multi-view classification. Appl. Intell. 49(5): 1925-1936 (2019) - 2018
- [j12]Nan Zhang, Shifei Ding, Jian Zhang, Yu Xue:
An overview on Restricted Boltzmann Machines. Neurocomputing 275: 1186-1199 (2018) - [j11]Jian Zhang, Shifei Ding, Nan Zhang:
An overview on probability undirected graphs and their applications in image processing. Neurocomputing 321: 156-168 (2018) - [j10]Lingheng Meng, Shifei Ding, Nan Zhang, Jian Zhang:
Research of stacked denoising sparse autoencoder. Neural Comput. Appl. 30(7): 2083-2100 (2018) - [c2]Shifei Ding, Nan Zhang, Jian Zhang:
Multi-view Restricted Boltzmann Machines with Posterior Consistency. Intelligent Information Processing 2018: 30-39 - 2017
- [j9]Nan Zhang, Shifei Ding, Jian Zhang, Yu Xue:
Research on Point-wise Gated Deep Networks. Appl. Soft Comput. 52: 1210-1221 (2017) - [j8]Nan Zhang, Shifei Ding:
Unsupervised and semi-supervised extreme learning machine with wavelet kernel for high dimensional data. Memetic Comput. 9(2): 129-139 (2017) - [j7]Shifei Ding, Nan Zhang, Jian Zhang, Xinzheng Xu, Zhongzhi Shi:
Unsupervised extreme learning machine with representational features. Int. J. Mach. Learn. Cybern. 8(2): 587-595 (2017) - [j6]Shifei Ding, Nan Zhang, Xiekai Zhang, Fulin Wu:
Twin support vector machine: theory, algorithm and applications. Neural Comput. Appl. 28(11): 3119-3130 (2017) - 2016
- [j5]Nan Zhang, Shifei Ding, Jian Zhang:
Multi layer ELM-RBF for multi-label learning. Appl. Soft Comput. 43: 535-545 (2016) - [j4]Li Xu, Shifei Ding, Xinzheng Xu, Nan Zhang:
Self-adaptive Extreme Learning Machine Optimized by Rough Set Theory and Affinity Propagation Clustering. Cogn. Comput. 8(4): 720-728 (2016) - [j3]Jian Zhang, Shifei Ding, Nan Zhang, Yu Xue:
Weight Uncertainty in Boltzmann Machine. Cogn. Comput. 8(6): 1064-1073 (2016) - [j2]Nan Zhang, Shifei Ding, Zhongzhi Shi:
Denoising Laplacian multi-layer extreme learning machine. Neurocomputing 171: 1066-1074 (2016) - [j1]Jian Zhang, Shifei Ding, Nan Zhang, Zhongzhi Shi:
Incremental extreme learning machine based on deep feature embedded. Int. J. Mach. Learn. Cybern. 7(1): 111-120 (2016) - [c1]Shifei Ding, Jian Zhang, Nan Zhang, Yanlu Hou:
Boltzmann Machine and its Applications in Image Recognition. Intelligent Information Processing 2016: 108-118
Coauthor Index
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last updated on 2024-04-22 20:09 CEST by the dblp team
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