| An effective web service recommendation method based on personalized collaborative filtering Y Jiang, J Liu, M Tang, X Liu 2011 IEEE international conference on web services, 211-218, 2011 | 273 | 2011 |
| Location-aware collaborative filtering for QoS-based service recommendation M Tang, Y Jiang, J Liu, X Liu 2012 IEEE 19th international conference on web services, 202-209, 2012 | 265 | 2012 |
| A case study of an inter-enterprise workflow-supported supply chain management system J Liu, S Zhang, J Hu Information & Management 42 (3), 441-454, 2005 | 240 | 2005 |
| Location-aware and personalized collaborative filtering for web service recommendation J Liu, M Tang, Z Zheng, X Liu, S Lyu IEEE Transactions on Services Computing 9 (5), 686-699, 2015 | 198 | 2015 |
| HireSome-II: Towards privacy-aware cross-cloud service composition for big data applications W Dou, X Zhang, J Liu, J Chen IEEE Transactions on Parallel and Distributed Systems 26 (2), 455-466, 2013 | 183 | 2013 |
| Towards a trust evaluation middleware for cloud service selection M Tang, X Dai, J Liu, J Chen Future Generation Computer Systems 74, 302-312, 2017 | 168 | 2017 |
| Multi-class imbalanced graph convolutional network learning M Shi, Y Tang, X Zhu, D Wilson, J Liu Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020 | 167 | 2020 |
| Integrated content and network-based service clustering and web apis recommendation for mashup development B Cao, XF Liu, MDM Rahman, B Li, J Liu, M Tang IEEE Transactions on Services Computing 13 (1), 99-113, 2017 | 157 | 2017 |
| AWSR: Active web service recommendation based on usage history G Kang, J Liu, M Tang, X Liu, B Cao, Y Xu 2012 IEEE 19th International Conference on Web Services, 186-193, 2012 | 130 | 2012 |
| Collaborative web service quality prediction via exploiting matrix factorization and network map M Tang, Z Zheng, G Kang, J Liu, Y Yang, T Zhang IEEE Transactions on Network and Service Management 13 (1), 126-137, 2016 | 121 | 2016 |
| WE-LDA: a word embeddings augmented LDA model for web services clustering M Shi, J Liu, D Zhou, M Tang, B Cao 2017 ieee international conference on web services (icws), 9-16, 2017 | 120 | 2017 |
| An effective and adaptable K-means algorithm for big data cluster analysis H Hu, J Liu, X Zhang, M Fang Pattern Recognition 139, 109404, 2023 | 113 | 2023 |
| QoS-aware service recommendation based on relational topic model and factorization machines for IoT Mashup applications B Cao, J Liu, Y Wen, H Li, Q Xiao, J Chen Journal of parallel and distributed computing 132, 177-189, 2019 | 104 | 2019 |
| Mashup service recommendation based on user interest and social network B Cao, J Liu, M Tang, Z Zheng, G Wang 2013 IEEE 20th international conference on web services, 99-106, 2013 | 104 | 2013 |
| Scheduling workflows with privacy protection constraints for big data applications on cloud Y Wen, J Liu, W Dou, X Xu, B Cao, J Chen Future Generation Computer Systems 108, 1084-1091, 2020 | 101 | 2020 |
| Diversifying web service recommendation results via exploring service usage history G Kang, M Tang, J Liu, X Liu, B Cao IEEE Transactions on Services Computing 9 (4), 566-579, 2015 | 90 | 2015 |
| ClubCF: A clustering-based collaborative filtering approach for big data application R Hu, W Dou, J Liu IEEE transactions on emerging topics in computing 2 (3), 302-313, 2014 | 90 | 2014 |
| Web service selection for resolving conflicting service requests G Kang, J Liu, M Tang, X Liu, KK Fletcher 2011 IEEE International Conference on Web Services, 387-394, 2011 | 90 | 2011 |
| Functional and contextual attention-based LSTM for service recommendation in mashup creation M Shi, J Liu IEEE Transactions on Parallel and Distributed Systems 30 (5), 1077-1090, 2018 | 86 | 2018 |
| Genetic-gnn: Evolutionary architecture search for graph neural networks M Shi, Y Tang, X Zhu, Y Huang, D Wilson, Y Zhuang, J Liu Knowledge-based systems 247, 108752, 2022 | 77 | 2022 |
Guosheng KangHunan University of Science and TechnologyAdresse e-mail validée de fudan.edu.cn
