Guoqiang Zhong

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	Total	Desde 2017
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Junyu DongOcean University of ChinaDirección de correo verificada de ouc.edu.cn
Kaizhu HuangProfessor of ECE, Duke Kunshan UniversityDirección de correo verificada de dukekunshan.edu.cn
Mohamed CherietFull Professor, ÉTS (U. of Quebec), Former Canada Research Chair, SYNCHROMEDIA Lab, CIRODDDirección de correo verificada de etsmtl.ca
Cheng-Lin LiuInstitute of Automation, Chinese Academy of SciencesDirección de correo verificada de nlpr.ia.ac.cn
Youssouf ChherawalaResearcher, Synchromedia laboratory, Ecole de Technologie SuperieureDirección de correo verificada de synchromedia.ca
Partha Pratim RoyAssociate Professor, Indian Institute of Technology, RoorkeeDirección de correo verificada de iitr.ac.in
Yun Raymond FuNEU, Professor; FIEEE, FSPIE, FOSA, FIAPRDirección de correo verificada de neu.edu
Sheng LiAssistant Professor of Computer Science, University of GeorgiaDirección de correo verificada de uga.edu
Feng GaoOcean University of ChinaDirección de correo verificada de ouc.edu.cn
Dit-Yan YeungChair Professor, Department of CSE, HKUST, Hong KongDirección de correo verificada de cse.ust.hk
Wu-Jun LiNanjing UniversityDirección de correo verificada de nju.edu.cn
Reza Farrahi MoghaddamResearch Associate, Synchromedia Lab, ETSDirección de correo verificada de synchromedia.ca

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Guoqiang Zhong

Department of Computer Science and Technology, Ocean University of China

Dirección de correo verificada de ouc.edu.cn - Página principal

Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Prediction of sea surface temperature using long short-term memory Q Zhang, H Wang, J Dong, G Zhong, X Sun IEEE geoscience and remote sensing letters 14 (10), 1745-1749, 2017	230	2017
An overview on data representation learning: From traditional feature learning to recent deep learning G Zhong, LN Wang, X Ling, J Dong The Journal of Finance and Data Science 2 (4), 265-278, 2016	171	2016
A review on the attention mechanism of deep learning Z Niu, G Zhong, H Yu Neurocomputing 452, 48-62, 2021	152	2021
Stock market prediction based on generative adversarial network K Zhang, G Zhong, J Dong, S Wang, Y Wang Procedia computer science 147, 400-406, 2019	152	2019
Improving short text classification by learning vector representations of both words and hidden topics H Zhang, G Zhong Knowledge-Based Systems 102, 76-86, 2016	80	2016
From shallow feature learning to deep learning: Benefits from the width and depth of deep architectures G Zhong, X Ling, LN Wang Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (1 …, 2019	47	2019
Change detection in SAR images based on deep semi-NMF and SVD networks F Gao, X Liu, J Dong, G Zhong, M Jian Remote Sensing 9 (5), 435, 2017	37	2017
Low-rank tensor learning with discriminant analysis for action classification and image recovery C Jia, G Zhong, Y Fu Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014	36	2014
Reducing and stretching deep convolutional activation features for accurate image classification G Zhong, S Yan, K Huang, Y Cai, J Dong Cognitive Computation 10 (1), 179-186, 2018	34	2018
Error-correcting output codes based ensemble feature extraction G Zhong, CL Liu Pattern Recognition 46 (4), 1091-1100, 2013	34	2013
Low rank metric learning with manifold regularization G Zhong, K Huang, CL Liu 2011 IEEE 11th International Conference on Data Mining, 1266-1271, 2011	32	2011
Adaptive error-correcting output codes G Zhong, M Cheriet Twenty-Third International Joint Conference on Artificial Intelligence, 2013	31	2013
Gaussian process latent random field G Zhong, WJ Li, DY Yeung, X Hou, CL Liu Proceedings of the AAAI conference on artificial intelligence 24 (1), 679-684, 2010	31	2010
Large Margin Low Rank Tensor Analysis G Zhong, M Cheriet Neural Computation 26 (4), 761-780, 2014	28	2014
Generative adversarial networks with decoder–encoder output noises G Zhong, W Gao, Y Liu, Y Yang, DH Wang, K Huang Neural Networks 127, 19-28, 2020	26	2020
Deep hashing learning networks G Zhong, H Xu, P Yang, S Wang, J Dong 2016 International Joint Conference on Neural Networks (IJCNN), 2236-2243, 2016	25	2016
Banzhaf random forests: Cooperative game theory based random forests with consistency J Sun, G Zhong, K Huang, J Dong Neural Networks 106, 20-29, 2018	21	2018
Stretching deep architectures for text recognition Y Zheng, Y Cai, G Zhong, Y Chherawala, Y Shi, J Dong 2015 13th International Conference on Document Analysis and Recognition …, 2015	21	2015
Random multi-graphs: a semi-supervised learning framework for classification of high dimensional data Q Zhang, J Sun, G Zhong, J Dong Image and Vision Computing 60, 30-37, 2017	19	2017
Visual texture perception with feature learning models and deep architectures Y Zheng, G Zhong, J Liu, X Cai, J Dong Chinese conference on pattern recognition, 401-410, 2014	19	2014

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