sheng-hua zhong

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Songtao WuAI Researcher, Sony RDCVerified email at sony.com
Jiaxin (Nikki) WuThe Hong Kong Polytechnic University, City University of Hong Kong, Shenzhen University,Verified email at polyu.edu.hk
Ahmed FaresAssoc. Prof. of Computer Sci. and Eng., Egypt-Japan University of Science and Technology (E-JUST)Verified email at ejust.edu.eg
Zhi ZhangThe Hong Kong Polytechnic University (PolyU)Verified email at connect.polyu.hk
Tongwei RenNanjing UniversityVerified email at nju.edu.cn
Yuncong LiInternational Digital Economy Academy (IDEA)Verified email at idea.edu.cn
Zheng MaSmith Kettlewell Eye Research InstituteVerified email at ski.org
Keith C.C. ChanFormer Professor of Computing, The Hong Kong Polytechnic UniversityVerified email at connect.polyu.hk
Mingjie ZhengThe Hong Kong Polytechnic UniversityVerified email at connect.polyu.hk
Fu Lai ChungDepartment of Computing, Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Jonathan FlombaumAssociate Professor, Psychological and Brain Sciences, Johns Hopkins UniversirtyVerified email at jhu.edu
Hee Yeon ImUniversity of British ColumbiaVerified email at ubc.ca
Justin HalberdaJohns Hopkins UniversityVerified email at jhu.edu
Colin WilsonCognitive Science, Johns Hopkins UniversityVerified email at cogsci.jhu.edu
Kien HuaProfessor of CS, University of Central FloridaVerified email at cs.ucf.edu
Wenjie LiThe Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Zhen YangJohns Hopkins UniversityVerified email at jhu.edu
Jerry L. PrinceProfessor of Electrical and Computer Engineering, Johns Hopkins UniversityVerified email at jhu.edu
Aaron CarassJohns Hopkins UniversityVerified email at jhu.edu
Qingcai ChenProfessor, Harbin Institute of Technology （Shenzhen）Verified email at hit.edu.cn

sheng-hua zhong

Associate Professor, Shenzhen University

Verified email at szu.edu.cn - Homepage

Vision science human visual system modeling multimedia content analysis


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep residual learning for image steganalysis S Wu, S Zhong, Y Liu Multimedia Tools and Applications, 2017	507	2017
Data augmentation for EEG-based emotion recognition with deep convolutional neural networks F Wang, S Zhong, J Peng, J Jiang, Y Liu MultiMedia Modeling: 24th International Conference, MMM 2018, Bangkok …, 2018	261	2018
A novel clustering method for static video summarization J Wu, S Zhong, J Jiang, Y Yang Multimedia Tools and Applications 76, 9625-9641, 2017	119	2017
Video saliency detection via dynamic consistent spatio-temporal attention modelling S Zhong, Y Liu, F Ren, J Zhang, T Ren Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 1063-1069, 2013	117	2013
Bilinear deep learning for image classification S Zhong, Y Liu, Y Liu Proceedings of the 19th ACM international conference on Multimedia, 343-352, 2011	109	2011
Query-oriented unsupervised multi-document summarization via deep learning model S Zhong, Y Liu, B Li, J Long Expert systems with applications 42 (21), 8146-8155, 2015	93	2015
Mmnet: A model-based multimodal network for human action recognition in rgb-d videos XB Bruce, Y Liu, X Zhang, S Zhong, KCC Chan IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 3522-3538, 2022	87	2022
Grouping by proximity and the visual impression of approximate number in random dot arrays HY Im, S Zhong, J Halberda Vision research 126, 291-307, 2016	87	2016
A solution of dynamic VMs placement problem for energy consumption optimization based on evolutionary game theory Z Xiao, J Jiang, Y Zhu, Z Ming, S Zhong, S Cai Journal of Systems and Software 101, 260-272, 2015	86	2015
GANSER: A self-supervised data augmentation framework for EEG-based emotion recognition Z Zhang, Y Liu, S Zhong IEEE Transactions on Affective Computing 14 (3), 2048-2063, 2022	75	2022
A novel convolutional neural network for image steganalysis with shared normalization S Wu, S Zhong, Y Liu IEEE Transactions on Multimedia 22 (1), 256-270, 2019	75	2019
Noise-robust oversampling for imbalanced data classification Y Liu, Y Liu, XB Bruce, S Zhong, Z Hu Pattern Recognition 133, 109008, 2023	56	2023
Query-oriented multi-document summarization via unsupervised deep learning Y Liu, S Zhong, W Li Proceedings of the AAAI conference on artificial intelligence 26 (1), 1699-1705, 2012	54	2012
Deep hierarchical LSTM networks with attention for video summarization J Lin, S Zhong, A Fares Computers & Electrical Engineering 97, 107618, 2022	53	2022
Dynamic graph convolutional network for multi-video summarization J Wu, S Zhong, Y Liu Pattern Recognition 107, 107382, 2020	52	2020
Gla-gcn: Global-local adaptive graph convolutional network for 3d human pose estimation from monocular video BXB Yu, Z Zhang, Y Liu, S Zhong, Y Liu, CW Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	49	2023
Sentence constituent-aware aspect-category sentiment analysis with graph attention networks Y Li, C Yin, S Zhong Natural Language Processing and Chinese Computing: 9th CCF International …, 2020	49	2020
Multi-instance multi-label learning networks for aspect-category sentiment analysis Y Li, C Yin, S Zhong, X Pan arXiv preprint arXiv:2010.02656, 2020	47	2020
Fine-art painting classification via two-channel dual path networks S Zhong, X Huang, Z Xiao International Journal of Machine Learning and Cybernetics 11, 137-152, 2020	45	2020
Steganalysis via deep residual network S Wu, S Zhong, Y Liu 2016 IEEE 22nd international conference on parallel and distributed systems …, 2016	41	2016

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