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2020 – today
- 2020
[j7]Hongbing Wang, Jiajie Li, Qi Yu
, Tianjing Hong, Jia Yan, Wei Zhao:
Integrating recurrent neural networks and reinforcement learning for dynamic service composition. Future Gener. Comput. Syst. 107: 551-563 (2020)- [j6]Hongbing Wang, Xingguo Hu, Qi Yu, Mingzhu Gu, Wei Zhao, Jia Yan, Tianjing Hong:
Integrating reinforcement learning and skyline computing for adaptive service composition. Inf. Sci. 519: 141-160 (2020) - [c1]Hongbing Wang, Tianjing Hong, Jian Cao, Haijun Zhang, Changhai Nie, Bo Cheng, Yangfan He, Li Kuang, Dunwei Gong, Wuhui Chen, Yuliang Shi, Deyi Huang:
COSINE: a software development model integrating collective intelligence, service and ecosystem. SERVICES 2020: 122-127
2010 – 2019
- 2019
- [j5]Hongbing Wang, Huanhuan Fei, Qi Yu, Wei Zhao, Jia Yan, Tianjing Hong:
A motifs-based Maximum Entropy Markov Model for realtime reliability prediction in System of Systems. J. Syst. Softw. 151: 180-193 (2019) - [j4]Hongbing Wang, Yong Tao, Qi Yu, Tianjing Hong, Chen Xin, Qin Wu:
Personalized service selection using Conditional Preference Networks. Knowl. Based Syst. 164: 292-308 (2019) - [j3]Hongbing Wang, Mingzhu Gu, Qi Yu, Yong Tao, Jiajie Li, Huanhuan Fei, Jia Yan, Wei Zhao, Tianjing Hong:
Adaptive and large-scale service composition based on deep reinforcement learning. Knowl. Based Syst. 180: 75-90 (2019) - 2018
- [j2]Hongbing Wang, Yong Tao, Qi Yu, Xin Lin, Tianjing Hong:
Incorporating both qualitative and quantitative preferences for service recommendation. J. Parallel Distributed Comput. 114: 46-69 (2018) - [j1]Hongbing Wang, Zhengping Yang, Qi Yu, Tianjing Hong, Xin Lin:
Online reliability time series prediction via convolutional neural network and long short term memory for service-oriented systems. Knowl. Based Syst. 159: 132-147 (2018)
Coauthor Index
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