南方科技大学知识苑(SUSTech KC): ST-ExpertNet: A Deep Expert Framework for Traffic Prediction

Title	ST-ExpertNet: A Deep Expert Framework for Traffic Prediction
Author	Hongjun Wang1 ; Jiyuan Chen1 ; Zipei Fan 2; Zhiwen Zhang 2; Zekun Cai 2; Xuan Song1
Publication Years	2022
DOI	10.1109/TKDE.2022.3196936
Source Title	IEEE Transactions on Knowledge and Data Engineering Impact Factor & Quartile
ISSN	2326-3865
Volume	PP Issue:99Pages:1-14
Keywords	Crowd flow prediction mixture of experts neural networks urban computing
URL	[Source Record]
Indexed By	EI
SUSTech Authorship	First
EI Accession Number	20223412602136
EI Keywords	Forecasting ; Job analysis ; Mixtures ; Network architecture ; Neural networks ; Parks ; Taxicabs ; Tensors
ESI Classification Code	Fluid Flow, General:631.1 ; Automobiles:662.1 ; Algebra:921.1
Data Source	IEEE
PDF url	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9851916
Citation statistics	Cited Times [WOS]:0
Document Type	Journal Article
Identifier	http://kc.sustech.edu.cn/handle/2SGJ60CL/375578
Department	Department of Computer Science and Engineering
Affiliation	1.Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China 2.The University of Tokyo, Kashiwa-shi, Chiba, Japan
First Author Affilication	Department of Computer Science and Engineering
First Author's First Affilication	Department of Computer Science and Engineering
Recommended Citation GB/T 7714	Hongjun Wang,Jiyuan Chen,Zipei Fan,et al. ST-ExpertNet: A Deep Expert Framework for Traffic Prediction[J]. IEEE Transactions on Knowledge and Data Engineering,2022,PP(99):1-14.
APA	Hongjun Wang,Jiyuan Chen,Zipei Fan,Zhiwen Zhang,Zekun Cai,&Xuan Song.(2022).ST-ExpertNet: A Deep Expert Framework for Traffic Prediction.IEEE Transactions on Knowledge and Data Engineering,PP(99),1-14.
MLA	Hongjun Wang,et al."ST-ExpertNet: A Deep Expert Framework for Traffic Prediction".IEEE Transactions on Knowledge and Data Engineering PP.99(2022):1-14.

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