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Zengmao Wang

Showing results (1-10 of 7) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|September 20, 2019
Domain Adaptation With Neural Embedding MatchingZengmao Wang, Bo Du, Yuhong Guo
Neural Networks : the Official Journal of the International Neural Network Society|November 4, 2023
Leveraging spatial residual attention and temporal Markov networks for video action understandingYangyang Xu, Zengmao Wang, Xiaoping Zhang
IEEE Transactions on Cybernetics|July 12, 2018
Robust Graph-Based Semisupervised Learning for Noisy Labeled Data via Maximum Correntropy CriterionBo Du, Tang Xinyao, Zengmao Wang, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 17, 2017
Robust and Discriminative Labeling for Multi-Label Active Learning Based on Maximum Correntropy CriterionBo Du, Zengmao Wang, Lefei Zhang, et al.
IEEE Transactions on Cybernetics|November 24, 2015
Exploring Representativeness and Informativeness for Active LearningBo Du, Zengmao Wang, Lefei Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems|June 11, 2026
Differentiable Clustering Graph Convolutional Network for Hyperspectral Unmixing: Methodology and BenchmarkMingming Xu, Jin Xu, Zhiru Yang, et al.
Respiratory Research|November 29, 2023
Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screeningBin Chen, Ziyi Liu, Jinjuan Lu, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks and Learning Systems|September 20, 2019
Domain Adaptation With Neural Embedding MatchingZengmao Wang, Bo Du, Yuhong Guo
Neural Networks : the Official Journal of the International Neural Network Society|November 4, 2023
Leveraging spatial residual attention and temporal Markov networks for video action understandingYangyang Xu, Zengmao Wang, Xiaoping Zhang
IEEE Transactions on Cybernetics|July 12, 2018
Robust Graph-Based Semisupervised Learning for Noisy Labeled Data via Maximum Correntropy CriterionBo Du, Tang Xinyao, Zengmao Wang, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 17, 2017
Robust and Discriminative Labeling for Multi-Label Active Learning Based on Maximum Correntropy CriterionBo Du, Zengmao Wang, Lefei Zhang, et al.
IEEE Transactions on Cybernetics|November 24, 2015
Exploring Representativeness and Informativeness for Active LearningBo Du, Zengmao Wang, Lefei Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems|June 11, 2026
Differentiable Clustering Graph Convolutional Network for Hyperspectral Unmixing: Methodology and BenchmarkMingming Xu, Jin Xu, Zhiru Yang, et al.
Respiratory Research|November 29, 2023
Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screeningBin Chen, Ziyi Liu, Jinjuan Lu, et al.
Pageof 1