Quan Z. (Michael) Sheng
Quan Z. (Michael) Sheng
Distinguished Professor, School of Computing, Macquarie University, Sydney, Australia
Verified email at - Homepage
Cited by
Cited by
Quality driven web service composition
L Zeng, B Benatallah, M Dumas, J Kalagnanam, QZ Sheng
Proceedings of the twelfth international conference on World Wide Web, 411-421, 2003
IoT Middleware: A Survey on Issues and Enabling Technologies
AHH Ngu, M Gutierrez, V Metsis, S Nepal, QZ Sheng
IEEE Internet of Things Journal, 2016
The self-serv environment for web services composition
B Benatallah, QZ Sheng, M Dumas
IEEE Internet Computing 7 (1), 40–48, 2003
Adversarial attacks on deep-learning models in natural language processing: A survey
WE Zhang, QZ Sheng, A Alhazmi, C Li
ACM Transactions on Intelligent Systems and Technology (TIST) 11 (3), 1-41, 2020
Declarative composition and peer-to-peer provisioning of dynamic web services
B Benatallah, M Dumas, QZ Sheng, AH Ngu
Proceedings of the 18th International Conference on Data Engineering, 297-308, 2002
Web services composition: A decade’s overview
QZ Sheng, X Qiao, AV Vasilakos, C Szabo, S Bourne, X Xu
Information Sciences 280, 218-238, 2014
A survey on session-based recommender systems
S Wang, L Cao, Y Wang, QZ Sheng, MA Orgun, D Lian
ACM Computing Surveys (CSUR) 54 (7), 1-38, 2022
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
X Ma, J Wu, S Xue, J Yang, QZ Sheng, H Xiong
IEEE Transactions on Knowledge Discovery and Engineering 35 (12), 12012-12038, 2023
When things matter: A survey on data-centric internet of things
Y Qin, QZ Sheng, NJG Falkner, S Dustdar, H Wang, AV Vasilakos
Journal of Network and Computer Applications 64, 137-153, 2016
Sequential Recommender Systems: Challenges, Progress and Prospects
S Wang, L Hu, Y Wang, L Cao, QZ Sheng, M Orgun
IJCAI 2019, 2019
ContextUML: a UML-based modeling language for model-driven development of context-aware web services
QZ Sheng, B Benatallah
International Conference on Mobile Business (ICMB'05), 206-212, 2005
A comprehensive survey on community detection with deep learning
X Su, S Xue, F Liu, J Wu, J Yang, C Zhou, W Hu, C Paris, S Nepal, D Jin, ...
IEEE Transactions on Neural Networks and Learning Systems, 2022
Trust management of services in cloud environments: Obstacles and solutions
TH Noor, QZ Sheng, S Zeadally, J Yu
ACM Computing Surveys (CSUR) 46 (1), 1-30, 2013
Self-Serv: A platform for rapid composition of web services in a peer-to-peer environment
QZ Sheng, B Benatallah, M Dumas, EOY Mak
VLDB, 2002
Stg2seq: Spatial-temporal graph to sequence model for multi-step passenger demand forecasting
L Bai, L Yao, S Kanhere, X Wang, Q Sheng
arXiv preprint arXiv:1905.10069, 2019
A service computing manifesto: the next 10 years
A Bouguettaya, M Singh, M Huhns, Q Sheng, H Dong, Q Yu, AG Neiat, ...
Communications of the ACM 60 (4), 64-72, 2017
Design architectures for energy harvesting in the Internet of Things
S Zeadally, FK Shaikh, A Talpur, QZ Sheng
Renewable and Sustainable Energy Reviews 128, 109901, 2020
Unified Collaborative and Content-Based Web Service Recommendation
L Yao, QZ Sheng, AHH Ngu, J Yu, A Segev
IEEE Transactions on Services Computing 8 (3), 453-466, 2015
Mobile cloud computing: Challenges and future research directions
TH Noor, S Zeadally, A Alfazi, QZ Sheng
Journal of Network and Computer Applications 115, 70-85, 2018
Enabling Next-Generation RFID Applications: Solutions and Challenges
QZ Sheng, X Li, S Zeadally
Computer 41 (9), 21, 2008
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