Yuyu Yin
Yuyu Yin
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QoS prediction for service recommendation with deep feature learning in edge computing environment
Y Yin, L Chen, Y Xu, J Wan, H Zhang, Z Mai
Mobile networks and applications 25, 391-401, 2020
Context-aware QoS prediction with neural collaborative filtering for Internet-of-Things services
H Gao, Y Xu, Y Yin, W Zhang, R Li, X Wang
IEEE Internet of Things Journal 7 (5), 4532-4542, 2019
An efficient recommendation method for improving business process modeling
Y Li, B Cao, L Xu, J Yin, S Deng, Y Yin, Z Wu
IEEE Transactions on Industrial Informatics 10 (1), 502-513, 2013
A mutually supervised graph attention network for few-shot segmentation: The perspective of fully utilizing limited samples
H Gao, J Xiao, Y Yin, T Liu, J Shi
IEEE Transactions on neural networks and learning systems 35 (4), 4826-4838, 2022
Collaborative learning-based industrial IoT API recommendation for software-defined devices: the implicit knowledge discovery perspective
H Gao, X Qin, RJD Barroso, W Hussain, Y Xu, Y Yin
IEEE Transactions on Emerging Topics in Computational Intelligence 6 (1), 66-76, 2020
Mining consuming behaviors with temporal evolution for personalized recommendation in mobile marketing apps
H Gao, L Kuang, Y Yin, B Guo, K Dou
Mobile Networks and Applications 25, 1233-1248, 2020
Location-aware service recommendation with enhanced probabilistic matrix factorization
Y Yin, L Chen, J Wan
IEEE Access 6, 62815-62825, 2018
Toward service selection for workflow reconfiguration: An interface-based computing solution
H Gao, W Huang, X Yang, Y Duan, Y Yin
Future Generation Computer Systems 87, 298-311, 2018
QoS prediction for service recommendation with features learning in mobile edge computing environment
Y Yin, Z Cao, Y Xu, H Gao, R Li, Z Mai
IEEE Transactions on Cognitive Communications and Networking 6 (4), 1136-1145, 2020
Network location-aware service recommendation with random walk in cyber-physical systems
Y Yin, F Yu, Y Xu, L Yu, J Mu
Sensors 17 (9), 2059, 2017
A hybrid approach to trust node assessment and management for vanets cooperative data communication: Historical interaction perspective
H Gao, C Liu, Y Yin, Y Xu, Y Li
IEEE Transactions on Intelligent Transportation Systems 23 (9), 16504-16513, 2021
PPO2: Location privacy-oriented task offloading to edge computing using reinforcement learning for intelligent autonomous transport systems
H Gao, W Huang, T Liu, Y Yin, Y Li
IEEE transactions on intelligent transportation systems 24 (7), 7599-7612, 2022
The deep features and attention mechanism-based method to dish healthcare under social IoT systems: An empirical study with a hand-deep local–global net
H Gao, K Xu, M Cao, J Xiao, Q Xu, Y Yin
IEEE Transactions on Computational Social Systems 9 (1), 336-347, 2021
Collaborative service selection via ensemble learning in mixed mobile network environments
Y Yin, Y Xu, W Xu, M Gao, L Yu, Y Pei
Entropy 19 (7), 358, 2017
QoS prediction for Web service recommendation with network location-aware neighbor selection
Y Yin, S Aihua, G Min, X Yueshen, W Shuoping
International Journal of Software Engineering and Knowledge Engineering 26 …, 2016
Personalized QoS prediction for web services using latent factor models
D Yu, Y Liu, Y Xu, Y Yin
2014 IEEE international conference on services computing, 107-114, 2014
QoS prediction for mobile edge service recommendation with auto-encoder
Y Yin, W Zhang, Y Xu, H Zhang, Z Mai, L Yu
IEEE Access 7, 62312-62324, 2019
An approach to data consistency checking for the dynamic replacement of service process
H Gao, Y Duan, H Miao, Y Yin
IEEE Access 5, 11700-11711, 2017
Group-wise itinerary planning in temporary mobile social network
Y Yin, J Xia, Y Li, W Xu, L Yu
IEEE Access 7, 83682-83693, 2019
Collaborative QoS prediction for mobile service with data filtering and SlopeOne model
Y Yin, W Xu, Y Xu, H Li, L Yu
Mobile Information Systems 2017 (1), 7356213, 2017
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