Incorporating both qualitative and quantitative preferences for service recommendation. - Hongbing Wang; Yong Tao; Qi Yu 001; Xin Lin; Tianjing Hong (J. Parallel Distributed Comput., 2018)

Online reliability time series prediction via convolutional neural network and long short term memory for service-oriented systems. - Hongbing Wang; Zhengping Yang; Qi Yu 001; Tianjing Hong; Xin Lin (Knowl. Based Syst., 2018)

A motifs-based Maximum Entropy Markov Model for realtime reliability prediction in System of Systems. - Hongbing Wang; Huanhuan Fei; Qi Yu 001; Wei Zhao; Jia Yan; Tianjing Hong (J. Syst. Softw., 2019)

Adaptive and large-scale service composition based on deep reinforcement learning. - Hongbing Wang; Mingzhu Gu; Qi Yu 001; Yong Tao; Jiajie Li; Huanhuan Fei; Jia Yan; Wei Zhao; Tianjing Hong (Knowl. Based Syst., 2019)

Personalized service selection using Conditional Preference Networks. - Hongbing Wang; Yong Tao; Qi Yu 001; Tianjing Hong; Chen Xin; Qin Wu (Knowl. Based Syst., 2019)

COSINE: a software development model integrating collective intelligence, service and ecosystem. - Hongbing Wang; Tianjing Hong; Jian Cao 001; Haijun Zhang 002; Changhai Nie; Bo Cheng 001; Yangfan He; Li Kuang; Dunwei Gong; Wuhui Chen; Yuliang Shi; Deyi Huang (SERVICES, 2020)

Integrating recurrent neural networks and reinforcement learning for dynamic service composition. - Hongbing Wang; Jiajie Li; Qi Yu 001; Tianjing Hong; Jia Yan; Wei Zhao (Future Gener. Comput. Syst., 2020)

Integrating reinforcement learning and skyline computing for adaptive service composition. - Hongbing Wang; Xingguo Hu; Qi Yu 001; Mingzhu Gu; Wei Zhao; Jia Yan; Tianjing Hong (Inf. Sci., 2020)