Nan Zhang

According to our database, Nan Zhang authored at least 33 papers between 2016 and 2026.

Collaborative distances:

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

2026

Filtering and denoising: Graph completion-based incomplete multi-view clustering.

Fengyang Ding, Hui Huang, Min Yu, Wei Jiang, Zhen Xu, Jun Yin, Nan Zhang

Inf. Fusion, 2026

2025

Multimodal Machine Translation with Visual Scene Graph Pruning.

Chenyu Lu, Shiliang Sun, Jing Zhao, Nan Zhang, Tengfei Song, Hao Yang

CoRR, May, 2025

Adaptive feature alignment network with noise suppression for cross-domain object detection.

Wei Jiang, Yujie Luan, Kewei Tang, Lijun Wang, Nan Zhang, Huiling Chen, Heng Qi

Neurocomputing, 2025

2024

A Lightweight Multi-Grained Image-Text Retrieval Paradigm via Cascaded Representation Learning and Parameter-Free Feature Aggregation.

Chenyu Lu, Nan Zhang, Shiliang Sun

IEEE Trans. Circuits Syst. Video Technol., December, 2024

Efficient Multiview Representation Learning With Correntropy and Anchor Graph.

Nan Zhang, Xiaoqin Zhang, Shiliang Sun

IEEE Trans. Knowl. Data Eng., September, 2024

Incomplete Multiview Nonnegative Representation Learning With Graph Completion and Adaptive Neighbors.

Shiliang Sun, Nan Zhang

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

Mgformer: Multi-group transformer for multivariate time series classification.

Jianfeng Wen, Nan Zhang, Xuzhe Lu, Zhongyi Hu, Hui Huang

Eng. Appl. Artif. Intell., 2024

Graph based Consistency Learning for Contrastive Multi-View Clustering.

Binbin Xu, Jun Yin, Nan Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Multi-view subspace clustering via consistent and diverse deep latent representations.

Kewei Tang, Kaiqiang Xu, Zhixun Su, Nan Zhang

Inf. Sci., December, 2023

Knowledge graph relation reasoning with variational reinforcement network.

Wenbo Dong, Shiliang Sun, Jing Zhao, Nan Zhang

Inf. Fusion, December, 2023

Multiband seizure type classification based on 3D convolution with attention mechanisms.

Hui Huang, Peiyu Chen, Jianfeng Wen, Xuzhe Lu, Nan Zhang

Comput. Biol. Medicine, November, 2023

Multiview Unsupervised Shapelet Learning for Multivariate Time Series Clustering.

Nan Zhang, Shiliang Sun

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

2022

Multiview Graph Restricted Boltzmann Machines.

Nan Zhang, Shiliang Sun

IEEE Trans. Cybern., 2022

Incomplete multiview nonnegative representation learning with multiple graphs.

Nan Zhang, Shiliang Sun

Pattern Recognit., 2022

Consistent auto-weighted multi-view subspace clustering.

Kewei Tang, Liying Cao, Nan Zhang, Wei Jiang

Pattern Anal. Appl., 2022

2020

Robust spike-and-slab deep Boltzmann machines for face denoising.

Nan Zhang, Shifei Ding, Jian Zhang, Xingyu Zhao

Neural Comput. Appl., 2020

Multi-view RBM with posterior consistency and domain adaptation.

Nan Zhang, Shifei Ding, Tongfeng Sun, Hongmei Liao, Lijuan Wang, Zhongzhi Shi

Inf. Sci., 2020

Adversarial Training Methods for Boltzmann Machines.

Jian Zhang, Shifei Ding, Nan Zhang, Weikuan Jia

IEEE Access, 2020

2019

Multimodal correlation deep belief networks for multi-view classification.

Nan Zhang, Shifei Ding, Hongmei Liao, Weikuan Jia

Appl. Intell., 2019

2018

Research of stacked denoising sparse autoencoder.

Lingheng Meng, Shifei Ding, Nan Zhang, Jian Zhang

Neural Comput. Appl., 2018

An overview on Restricted Boltzmann Machines.

Nan Zhang, Shifei Ding, Jian Zhang, Yu Xue

Neurocomputing, 2018

An overview on probability undirected graphs and their applications in image processing.

Jian Zhang, Shifei Ding, Nan Zhang

Neurocomputing, 2018

Multi-view Restricted Boltzmann Machines with Posterior Consistency.

Shifei Ding, Nan Zhang, Jian Zhang

Proceedings of the Intelligent Information Processing IX, 2018

2017

Twin support vector machine: theory, algorithm and applications.

Shifei Ding, Nan Zhang, Xiekai Zhang, Fulin Wu

Neural Comput. Appl., 2017

Unsupervised extreme learning machine with representational features.

Shifei Ding, Nan Zhang, Jian Zhang, Xinzheng Xu, Zhongzhi Shi

Int. J. Mach. Learn. Cybern., 2017

Unsupervised and semi-supervised extreme learning machine with wavelet kernel for high dimensional data.

Nan Zhang, Shifei Ding

Memetic Comput., 2017

Research on Point-wise Gated Deep Networks.

Nan Zhang, Shifei Ding, Jian Zhang, Yu Xue

Appl. Soft Comput., 2017

2016

Incremental extreme learning machine based on deep feature embedded.

Jian Zhang, Shifei Ding, Nan Zhang, Zhongzhi Shi

Int. J. Mach. Learn. Cybern., 2016

Denoising Laplacian multi-layer extreme learning machine.

Nan Zhang, Shifei Ding, Zhongzhi Shi

Neurocomputing, 2016

Weight Uncertainty in Boltzmann Machine.

Jian Zhang, Shifei Ding, Nan Zhang, Yu Xue

Cogn. Comput., 2016

Self-adaptive Extreme Learning Machine Optimized by Rough Set Theory and Affinity Propagation Clustering.

Li Xu, Shifei Ding, Xinzheng Xu, Nan Zhang

Cogn. Comput., 2016

Multi layer ELM-RBF for multi-label learning.

Nan Zhang, Shifei Ding, Jian Zhang

Appl. Soft Comput., 2016

Boltzmann Machine and its Applications in Image Recognition.

Shifei Ding, Jian Zhang, Nan Zhang, Yanlu Hou

Proceedings of the Intelligent Information Processing VIII, 2016