Year |
Citation |
Score |
2020 |
Peng S, Wang H, Yu Q. Multi-Clusters Adaptive Brain Storm Optimization Algorithm for QoS-Aware Service Composition Ieee Access. 8: 48822-48835. DOI: 10.1109/Access.2020.2979892 |
0.402 |
|
2020 |
Wang H, Hu X, Yu Q, Gu M, Zhao W, Yan J, Hong T. Integrating reinforcement learning and skyline computing for adaptive service composition Information Sciences. 519: 141-160. DOI: 10.1016/J.Ins.2020.01.039 |
0.434 |
|
2020 |
Wang H, Li J, Yu Q, Hong T, Yan J, Zhao W. Integrating recurrent neural networks and reinforcement learning for dynamic service composition Future Generation Computer Systems. 107: 551-563. DOI: 10.1016/J.Future.2020.02.030 |
0.43 |
|
2020 |
Alshangiti M, Shi W, Liu X, Yu Q. A Bayesian learning model for design-phase service mashup popularity prediction Expert Systems With Applications. 149: 113231. DOI: 10.1016/J.Eswa.2020.113231 |
0.408 |
|
2019 |
Wang H, Wang L, Yu Q, Zheng Z. Learning the Evolution Regularities for BigService-Oriented Online Reliability Prediction Ieee Transactions On Services Computing. 12: 398-411. DOI: 10.1109/Tsc.2016.2633264 |
0.424 |
|
2019 |
Wang H, Gu M, Yu Q, Tao Y, Li J, Fei H, Yan J, Zhao W, Hong T. Adaptive and large-scale service composition based on deep reinforcement learning Knowledge Based Systems. 180: 75-90. DOI: 10.1016/J.Knosys.2019.05.020 |
0.441 |
|
2019 |
Wang H, Tao Y, Yu Q, Tianjing H, Xin C, Qin W. Personalized service selection using Conditional Preference Networks Knowledge Based Systems. 164: 292-308. DOI: 10.1016/J.Knosys.2018.10.040 |
0.39 |
|
2019 |
Wang H, Fei H, Yu Q, Zhao W, Yan J, Hong T. A motifs-based Maximum Entropy Markov Model for realtime reliability prediction in System of Systems Journal of Systems and Software. 151: 180-193. DOI: 10.1016/J.Jss.2019.02.023 |
0.325 |
|
2019 |
Wang H, Peng S, Yu Q. A parallel refined probabilistic approach for QoS-aware service composition Future Generation Computer Systems. 98: 609-626. DOI: 10.1016/J.Future.2019.03.053 |
0.43 |
|
2018 |
Wang H, Yu C, Wang L, Yu Q. Effective BigData-Space Service Selection over Trust and Heterogeneous QoS Preferences Ieee Transactions On Services Computing. 11: 644-657. DOI: 10.1109/Tsc.2015.2480393 |
0.434 |
|
2018 |
Wang H, Yang Z, Yu Q, Hong T, Lin X. Online reliability time series prediction via convolutional neural network and long short term memory for service-oriented systems Knowledge Based Systems. 159: 132-147. DOI: 10.1016/J.Knosys.2018.07.006 |
0.433 |
|
2018 |
Wang H, Yang D, Yu Q, Tao Y. Integrating modified cuckoo algorithm and creditability evaluation for QoS-aware service composition Knowledge Based Systems. 140: 64-81. DOI: 10.1016/J.Knosys.2017.10.027 |
0.438 |
|
2018 |
Wang H, Wang L, Yu Q, Zheng Z, Yang Z. A proactive approach based on online reliability prediction for adaptation of service-oriented systems Journal of Parallel and Distributed Computing. 114: 70-84. DOI: 10.1016/J.Jpdc.2017.12.006 |
0.406 |
|
2018 |
Wang H, Tao Y, Yu Q, Lin X, Hong T. Incorporating both qualitative and quantitative preferences for service recommendation Journal of Parallel and Distributed Computing. 114: 46-69. DOI: 10.1016/J.Jpdc.2017.12.005 |
0.41 |
|
2017 |
Wang H, Chen X, Wu Q, Yu Q, Hu X, Zheng Z, Bouguettaya A. Integrating Reinforcement Learning with Multi-Agent Techniques for Adaptive Service Composition Acm Transactions On Autonomous and Adaptive Systems. 12: 1-42. DOI: 10.1145/3058592 |
0.405 |
|
2017 |
Liu X, Shi W, Kale A, Ding C, Yu Q. Statistical Learning of Domain-Specific Quality-of-Service Features from User Reviews Acm Transactions On Internet Technology. 17: 22. DOI: 10.1145/3053381 |
0.431 |
|
2017 |
Bouguettaya A, Singh M, Huhns M, Sheng QZ, Dong H, Yu Q, Neiat AG, Mistry S, Benatallah B, Medjahed B, Ouzzani M, Casati F, Liu X, Wang H, Georgakopoulos D, et al. A service computing manifesto Communications of the Acm. 60: 64-72. DOI: 10.1145/2983528 |
0.377 |
|
2017 |
Wang H, Wang L, Yu Q, Zheng Z, Bouguettaya A, Lyu MR. Online Reliability Prediction via Motifs-Based Dynamic Bayesian Networks for Service-Oriented Systems Ieee Transactions On Software Engineering. 43: 556-579. DOI: 10.1109/Tse.2016.2615615 |
0.42 |
|
2017 |
Wang H, Ma P, Yu Q, Yang D, Li J, Fei H. Combining quantitative constraints with qualitative preferences for effective non-functional properties-aware service composition Journal of Parallel and Distributed Computing. 100: 71-84. DOI: 10.1016/J.Jpdc.2016.10.013 |
0.426 |
|
2016 |
Wang H, Wang X, Zhang X, Yu Q, Hu X. Effective service composition using multi-agent reinforcement learning Knowledge-Based Systems. 92: 151-168. DOI: 10.1016/J.Knosys.2015.10.022 |
0.342 |
|
2014 |
Chen X, Zheng Z, Yu Q, Lyu MR. Web Service Recommendation via Exploiting Location and QoS Information Ieee Transactions On Parallel and Distributed Systems. 25: 1913-1924. DOI: 10.1109/Tpds.2013.308 |
0.439 |
|
2014 |
Yu Q. QoS-aware service selection via collaborative QoS evaluation World Wide Web. 17: 33-57. DOI: 10.1007/S11280-012-0186-0 |
0.429 |
|
2014 |
Yu Q. CloudRec: a framework for personalized service Recommendation in the Cloud Knowledge and Information Systems. 1-27. DOI: 10.1007/S10115-013-0723-X |
0.426 |
|
2013 |
Andhale P, Rege M, Yu Q. Discovering Heterogeneous Evolving Web Service Communities Using Semi-Supervised Non Negative Matrix Factorization International Journal of Machine Learning and Computing. 201-205. DOI: 10.7763/Ijmlc.2013.V3.302 |
0.359 |
|
2013 |
Yu Q. Efficient large-scale service clustering via sparse functional representation and accelerated optimization International Journal of Cooperative Information Systems. 22. DOI: 10.1142/S0218843013410013 |
0.425 |
|
2013 |
Yu Q, Bouguettaya A. Efficient Service Skyline Computation for Composite Service Selection Ieee Transactions On Knowledge and Data Engineering. 25: 776-789. DOI: 10.1109/Tkde.2011.268 |
0.435 |
|
2013 |
Wu J, Chen L, Yu Q, Kuang L, Wang Y, Wu Z. Selecting skyline services for QoS-aware composition by upgrading MapReduce paradigm Cluster Computing. 16: 693-706. DOI: 10.1007/S10586-012-0240-9 |
0.436 |
|
2012 |
Yu Q, Bouguettaya A. Multi-attribute optimization in service selection World Wide Web. 15: 1-31. DOI: 10.1007/S11280-011-0121-9 |
0.43 |
|
2012 |
Liu C, Ludwig H, Toumani F, Yu Q. Proceedings of the 10th International Conference on Service-Oriented Computing (ICSOC 2012), Shanghai, China, 12-15 November 2012 Lecture Notes in Computer Science. 7636. DOI: 10.1007/978-3-642-34321-6 |
0.359 |
|
2011 |
Bouguettaya A, Yu Q, Liu X, Malik Z. Service-Centric Framework for a Digital Government Application Ieee Transactions On Services Computing. 4: 3-16. DOI: 10.1109/Tsc.2010.36 |
0.42 |
|
2010 |
Yu Q, Bouguettaya A. Computing Service Skyline from Uncertain QoWS Ieee Transactions On Services Computing. 3: 16-29. DOI: 10.1109/Tsc.2010.7 |
0.418 |
|
2010 |
Yu Q, Bouguettaya A. Guest Editorial: Special Section on Query Models and Efficient Selection of Web Services Ieee Transactions On Services Computing. 3: 161-162. DOI: 10.1109/Tsc.2010.43 |
0.437 |
|
2008 |
Yu Q, Bouguettaya A. Framework for Web service query algebra and optimization Acm Transactions On the Web. 2: 6. DOI: 10.1145/1326561.1326567 |
0.426 |
|
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