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Jiangshe Zhang

Showing results (1-10 of 16) with videos related to

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International Journal of Environmental Research and Public Health|January 27, 2017
Prediction of Air Pollutants Concentration Based on an Extreme Learning Machine: The Case of Hong KongJiangshe Zhang, Weifu Ding
IEEE Transactions on Neural Networks and Learning Systems|April 7, 2023
Understanding Short-Range Memory Effects in Deep Neural NetworksChengli Tan, Jiangshe Zhang, Junmin Liu
Environmental Science and Pollution Research International|July 8, 2016
Prediction of air pollutant concentration based on sparse response back-propagation training feedforward neural networksWeifu Ding, Jiangshe Zhang, Yee Leung
Neural Networks : the Official Journal of the International Neural Network Society|January 18, 2020
Bayesian deep matrix factorization network for multiple images denoisingShuang Xu, Chunxia Zhang, Jiangshe Zhang
Neural Networks : the Official Journal of the International Neural Network Society|January 23, 2025
DCTCNet: Sequency discrete cosine transform convolution network for visual recognitionJiayong Bao, Jiangshe Zhang, Chunxia Zhang, et al.
IEEE Transactions on Cybernetics|July 16, 2020
Toward a Controllable Disentanglement NetworkZengjie Song, Oluwasanmi Koyejo, Jiangshe Zhang
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 30, 2014
Enhancing Low-Rank Subspace Clustering by Manifold RegularizationJunmin Liu, Yijun Chen, JiangShe Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 21, 2019
Fast Inference Predictive Coding: A Novel Model for Constructing Deep Neural NetworksZengjie Song, Jiangshe Zhang, Guang Shi, et al.
Springerplus|December 10, 2016
Manifold regularization for sparse unmixing of hyperspectral imagesJunmin Liu, Chunxia Zhang, Jiangshe Zhang, et al.
Chemosphere|December 5, 2023
Modeling the air pollution process using a novel multi-site and multi-scale method with adaptive utilization of spatio-temporal informationGuang Shi, Yee Leung, Jiangshe Zhang, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
International Journal of Environmental Research and Public Health|January 27, 2017
Prediction of Air Pollutants Concentration Based on an Extreme Learning Machine: The Case of Hong KongJiangshe Zhang, Weifu Ding
IEEE Transactions on Neural Networks and Learning Systems|April 7, 2023
Understanding Short-Range Memory Effects in Deep Neural NetworksChengli Tan, Jiangshe Zhang, Junmin Liu
Environmental Science and Pollution Research International|July 8, 2016
Prediction of air pollutant concentration based on sparse response back-propagation training feedforward neural networksWeifu Ding, Jiangshe Zhang, Yee Leung
Neural Networks : the Official Journal of the International Neural Network Society|January 18, 2020
Bayesian deep matrix factorization network for multiple images denoisingShuang Xu, Chunxia Zhang, Jiangshe Zhang
Neural Networks : the Official Journal of the International Neural Network Society|January 23, 2025
DCTCNet: Sequency discrete cosine transform convolution network for visual recognitionJiayong Bao, Jiangshe Zhang, Chunxia Zhang, et al.
IEEE Transactions on Cybernetics|July 16, 2020
Toward a Controllable Disentanglement NetworkZengjie Song, Oluwasanmi Koyejo, Jiangshe Zhang
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 30, 2014
Enhancing Low-Rank Subspace Clustering by Manifold RegularizationJunmin Liu, Yijun Chen, JiangShe Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 21, 2019
Fast Inference Predictive Coding: A Novel Model for Constructing Deep Neural NetworksZengjie Song, Jiangshe Zhang, Guang Shi, et al.
Springerplus|December 10, 2016
Manifold regularization for sparse unmixing of hyperspectral imagesJunmin Liu, Chunxia Zhang, Jiangshe Zhang, et al.
Chemosphere|December 5, 2023
Modeling the air pollution process using a novel multi-site and multi-scale method with adaptive utilization of spatio-temporal informationGuang Shi, Yee Leung, Jiangshe Zhang, et al.
Pageof 2