Nan Zhang - RankMe

37 papers A* 1Journal 33Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Attention-driven hybrid feature learning for multivariate time series classification. Clust. Comput. Donghao Lin, Nan Zhang, Hui Huang
2026	J	`jnl`	Enhanced schatten quasi-norm approximation for low tubal rank tensor completion. Neurocomputing Wei Jiang, Xiyi Yuan, Hongyan Li, Kewei Tang, Lijun Wang, Nan Zhang, Huiling Chen, Heng Qi
2026	J	`jnl`	Filtering and denoising: Graph completion-based incomplete multi-view clustering. Inf. Fusion Fengyang Ding, Hui Huang, Min Yu, Wei Jiang, Zhen Xu, Jun Yin, Nan Zhang
2026	J	`jnl`	Projection-based incomplete multi-view consensus bipartite graph representation learning. Neurocomputing Qiuyu Ji, Hui Huang, Liang Mao, Nan Zhang
2025	J	`jnl`	Adaptive feature alignment network with noise suppression for cross-domain object detection. Neurocomputing Wei Jiang, Yujie Luan, Kewei Tang, Lijun Wang, Nan Zhang, Huiling Chen, Heng Qi
2025	—	`conf`	DFuse-Net: Disentangled Multi-Modal Fusion Via Contrastive and Consistency-Aware Learning for Reliable Brain Tumor Segmentation. BIBM Tongxue Zhou, Zheng Wang, Mingyang Li, Nan Zhang, Huiling Chen, Yanda Meng, Zhiwei Ji
2025	J	`jnl`	Multimodal Machine Translation with Visual Scene Graph Pruning. CoRR Chenyu Lu, Shiliang Sun, Jing Zhao, Nan Zhang, Tengfei Song, Hao Yang
2024	J	`jnl`	A Lightweight Multi-Grained Image-Text Retrieval Paradigm via Cascaded Representation Learning and Parameter-Free Feature Aggregation. IEEE Trans. Circuits Syst. Video Technol. Chenyu Lu, Nan Zhang, Shiliang Sun
2024	J	`jnl`	Efficient Multiview Representation Learning With Correntropy and Anchor Graph. IEEE Trans. Knowl. Data Eng. Nan Zhang, Xiaoqin Zhang, Shiliang Sun
2024	A*	`conf`	Graph based Consistency Learning for Contrastive Multi-View Clustering. ACM Multimedia Binbin Xu, Jun Yin, Nan Zhang
2024	J	`jnl`	Incomplete Multiview Nonnegative Representation Learning With Graph Completion and Adaptive Neighbors. IEEE Trans. Neural Networks Learn. Syst. Shiliang Sun, Nan Zhang
2024	J	`jnl`	Mgformer: Multi-group transformer for multivariate time series classification. Eng. Appl. Artif. Intell. Jianfeng Wen, Nan Zhang, Xuzhe Lu, Zhongyi Hu, Hui Huang
2023	J	`jnl`	Knowledge graph relation reasoning with variational reinforcement network. Inf. Fusion Wenbo Dong, Shiliang Sun, Jing Zhao, Nan Zhang
2023	J	`jnl`	Multi-view subspace clustering via consistent and diverse deep latent representations. Inf. Sci. Kewei Tang, Kaiqiang Xu, Zhixun Su, Nan Zhang
2023	J	`jnl`	Multiband seizure type classification based on 3D convolution with attention mechanisms. Comput. Biol. Medicine Hui Huang, Peiyu Chen, Jianfeng Wen, Xuzhe Lu, Nan Zhang
2023	J	`jnl`	Multiview Unsupervised Shapelet Learning for Multivariate Time Series Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Nan Zhang, Shiliang Sun
2022	J	`jnl`	Consistent auto-weighted multi-view subspace clustering. Pattern Anal. Appl. Kewei Tang, Liying Cao, Nan Zhang, Wei Jiang
2022	J	`jnl`	Incomplete multiview nonnegative representation learning with multiple graphs. Pattern Recognit. Nan Zhang, Shiliang Sun
2022	J	`jnl`	Multiview Graph Restricted Boltzmann Machines. IEEE Trans. Cybern. Nan Zhang, Shiliang Sun
2020	J	`jnl`	Adversarial Training Methods for Boltzmann Machines. IEEE Access Jian Zhang, Shifei Ding, Nan Zhang, Weikuan Jia
2020	J	`jnl`	Multi-view RBM with posterior consistency and domain adaptation. Inf. Sci. Nan Zhang, Shifei Ding, Tongfeng Sun, Hongmei Liao, Lijuan Wang, Zhongzhi Shi
2020	J	`jnl`	Robust spike-and-slab deep Boltzmann machines for face denoising. Neural Comput. Appl. Nan Zhang, Shifei Ding, Jian Zhang, Xingyu Zhao
2019	J	`jnl`	Multimodal correlation deep belief networks for multi-view classification. Appl. Intell. Nan Zhang, Shifei Ding, Hongmei Liao, Weikuan Jia
2018	J	`jnl`	An overview on Restricted Boltzmann Machines. Neurocomputing Nan Zhang, Shifei Ding, Jian Zhang, Yu Xue
2018	J	`jnl`	An overview on probability undirected graphs and their applications in image processing. Neurocomputing Jian Zhang, Shifei Ding, Nan Zhang
2018	—	`conf`	Multi-view Restricted Boltzmann Machines with Posterior Consistency. IIP Shifei Ding, Nan Zhang, Jian Zhang
2018	J	`jnl`	Research of stacked denoising sparse autoencoder. Neural Comput. Appl. Lingheng Meng, Shifei Ding, Nan Zhang, Jian Zhang
2017	J	`jnl`	Research on Point-wise Gated Deep Networks. Appl. Soft Comput. Nan Zhang, Shifei Ding, Jian Zhang, Yu Xue
2017	J	`jnl`	Twin support vector machine: theory, algorithm and applications. Neural Comput. Appl. Shifei Ding, Nan Zhang, Xiekai Zhang, Fulin Wu
2017	J	`jnl`	Unsupervised and semi-supervised extreme learning machine with wavelet kernel for high dimensional data. Memetic Comput. Nan Zhang, Shifei Ding
2017	J	`jnl`	Unsupervised extreme learning machine with representational features. Int. J. Mach. Learn. Cybern. Shifei Ding, Nan Zhang, Jian Zhang, Xinzheng Xu, Zhongzhi Shi
2016	—	`conf`	Boltzmann Machine and its Applications in Image Recognition. IIP Shifei Ding, Jian Zhang, Nan Zhang, Yanlu Hou
2016	J	`jnl`	Denoising Laplacian multi-layer extreme learning machine. Neurocomputing Nan Zhang, Shifei Ding, Zhongzhi Shi
2016	J	`jnl`	Incremental extreme learning machine based on deep feature embedded. Int. J. Mach. Learn. Cybern. Jian Zhang, Shifei Ding, Nan Zhang, Zhongzhi Shi
2016	J	`jnl`	Multi layer ELM-RBF for multi-label learning. Appl. Soft Comput. Nan Zhang, Shifei Ding, Jian Zhang
2016	J	`jnl`	Self-adaptive Extreme Learning Machine Optimized by Rough Set Theory and Affinity Propagation Clustering. Cogn. Comput. Li Xu, Shifei Ding, Xinzheng Xu, Nan Zhang
2016	J	`jnl`	Weight Uncertainty in Boltzmann Machine. Cogn. Comput. Jian Zhang, Shifei Ding, Nan Zhang, Yu Xue