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 | 1791 | 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 | 868 | 2016 |
The self-serv environment for web services composition B Benatallah, QZ Sheng, M Dumas IEEE Internet Computing 7 (1), 40–48, 2003 | 824 | 2003 |
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 | 649 | 2002 |
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 | 641 | 2020 |
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 | 570 | 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 | 531 | 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 | 496 | 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 | 436 | 2016 |
Sequential Recommender Systems: Challenges, Progress and Prospects S Wang, L Hu, Y Wang, L Cao, QZ Sheng, M Orgun IJCAI 2019, 2019 | 399 | 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 | 395 | 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 | 339 | 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 | 274 | 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 | 265 | 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 | 254 | 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 | 245 | 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 | 238 | 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 | 225 | 2015 |
Enabling Next-Generation RFID Applications: Solutions and Challenges QZ Sheng, X Li, S Zeadally Computer 41 (9), 21, 2008 | 222 | 2008 |
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 | 220 | 2018 |