Jianwu Wang

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Ilkay AltintasSDSC/UCSDVerificeret mail på sdsc.edu
Prakashan KorambathUCLAVerificeret mail på ucla.edu
Zhibo Zhang, Ph.D.Professor, Physics Department, UMBCVerificeret mail på umbc.edu
Pei GuoPhD. Data Scientist @ Wyze LabsVerificeret mail på umbc.edu
Jian YuAuckland University of TechnologyVerificeret mail på aut.ac.nz
Aryya GangopadhyayProfessor, Information Systems, Affiliate Professor CSEE, UMBCVerificeret mail på umbc.edu
Jim DavisProfessor Chemical and Biomolecular EngineeringVerificeret mail på oit.ucla.edu
Wenbin ZhangFlorida International UniversityVerificeret mail på fiu.edu
Shweta PurawatData Science Workflow Research Scientist, San Diego Supercomputer Center, UCSDVerificeret mail på sdsc.edu
Michael BaldeaProfessor, University of Texas at Austin; Editor in Chief, I&ECRVerificeret mail på che.utexas.edu
Jun HanProfessor of Software Engineering, Swinburne University of Technology, AustraliaVerificeret mail på swin.edu.au
Ting ZhuAssociate Professor, Computer Science and Engineering, the Ohio State UniversityVerificeret mail på osu.edu
Yan TangHohai UniversityVerificeret mail på hhu.edu.cn
Weilong Ding(丁维龙)Associate Professor, North China University of TechnologyVerificeret mail på ncut.edu.cn
Weizhong LiJ Craig Venter InstituteVerificeret mail på sdsc.edu
DAEHO JINGESTAR-II/UMBC/NASA GSFCVerificeret mail på nasa.gov
Yike GuoDept of CSE, The Hong Kong University of Science and TechnologyVerificeret mail på ust.hk
Lorin HochsteinStaff Software Engineer, AirbnbVerificeret mail på airbnb.com
Seonah KimAssociate Professor of Chemistry, Colorado State UniversityVerificeret mail på colostate.edu
Alexander C ZambonDepartment of Pharmaceutical Sciences Keck Graduate InstituteVerificeret mail på kgi.edu

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Jianwu Wang

Professor of Data Science, University of Maryland Baltimore County

Verificeret mail på umbc.edu - Startside

Big Data Analytics Earth/Climate Informatics Causal AI Distributed Computing


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Machine learning on big data: Opportunities and challenges L Zhou, S Pan, J Wang, AV Vasilakos Neurocomputing 237, 350-361, 2017	1340	2017
Smart manufacturing J Davis, T Edgar, R Graybill, P Korambath, B Schott, D Swink, J Wang, ... Annual review of chemical and biomolecular engineering 6 (1), 141-160, 2015	278	2015
Kepler+ Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems J Wang, D Crawl, I Altintas Proceedings of the 4th Workshop on Workflows in Support of Large-Scale …, 2009	200	2009
A review of earth artificial intelligence Z Sun, L Sandoval, R Crystal-Ornelas, SM Mousavi, J Wang, C Lin, ... Computers & Geosciences 159, 105034, 2022	168	2022
Pattern based property specification and verification for service composition J Yu, TP Manh, J Han, Y Jin, Y Han, J Wang International Conference on Web Information Systems Engineering, 156-168, 2006	139	2006
Big data provenance: Challenges, state of the art and opportunities J Wang, D Crawl, S Purawat, M Nguyen, I Altintas 2015 IEEE international conference on big data (Big Data), 2509-2516, 2015	131	2015
Workflow as a service in the cloud: architecture and scheduling algorithms J Wang, P Korambath, I Altintas, J Davis, D Crawl Procedia computer science 29, 546-556, 2014	81	2014
An approach to detecting diabetic retinopathy based on integrated shallow convolutional neural networks W Chen, B Yang, J Li, J Wang IEEE Access 8, 178552-178562, 2020	78	2020
Cloud computing in e-Science: research challenges and opportunities X Yang, D Wallom, S Waddington, J Wang, A Shaon, B Matthews, ... The Journal of Supercomputing 70, 408-464, 2014	62	2014
Provenance for mapreduce-based data-intensive workflows D Crawl, J Wang, I Altintas Proceedings of the 6th Workshop on Workflows in Support of Large-scale …, 2011	58	2011
CAFISE: An approach to enabling adaptive configuration of service grid applications YB Han, ZF Zhao, G Li, DS Xing, QZ Lv, JW Wang, JH Xiong, H Liu Journal of Computer Science and Technology 18, 484-494, 2003	54	2003
Deploying kepler workflows as services on a cloud infrastructure for smart manufacturing P Korambath, J Wang, A Kumar, L Hochstein, B Schott, R Graybill, ... Procedia Computer Science 29, 2254-2259, 2014	52	2014
A deterministic self-organizing map approach and its application on satellite data based cloud type classification W Zhang, J Wang, D Jin, L Oreopoulos, Z Zhang 2018 IEEE International Conference on Big Data (Big Data), 2027-2034, 2018	51	2018
Wearable sensor based human posture recognition J Wang, Z Huang, W Zhang, A Patil, K Patil, T Zhu, EJ Shiroma, ... 2016 IEEE International conference on big data (big data), 3432-3438, 2016	50	2016
Machine learning based algorithms for global dust aerosol detection from satellite images: Inter-comparisons and evaluation J Lee, YR Shi, C Cai, P Ciren, J Wang, A Gangopadhyay, Z Zhang Remote Sensing 13 (3), 456, 2021	49	2021
A scalable data science workflow approach for big data bayesian network learning J Wang, Y Tang, M Nguyen, I Altintas 2014 IEEE/ACM International Symposium on Big Data Computing, 16-25, 2014	47	2014
Challenges and approaches for distributed workflow-driven analysis of large-scale biological data I Altintas, J Wang, D Crawl, W Li Proceedings of the 2012 Joint EDBT/ICDT Workshops, 73-78, 2012	42	2012
Big data applications using workflows for data parallel computing J Wang, D Crawl, I Altintas, W Li Computing in Science & Engineering 16 (4), 11-21, 2014	41	2014
Early cloud experiences with the kepler scientific workflow system J Wang, I Altintas Procedia Computer Science 9, 1630-1634, 2012	40	2012
A hybrid learning framework for imbalanced stream classification W Zhang, J Wang 2017 IEEE International Congress on Big Data (BigData Congress), 480-487, 2017	39	2017

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