| Research on transformation engineering BOM into manufacturing BOM based on BOP HC Xu, XF Xu, T He Applied Mechanics and Materials 10, 99-103, 2008 | 40 | 2008 |
| A new paradigm of software service engineering in big data and big service era X Xu, G Motta, Z Tu, H Xu, Z Wang, X Wang Computing 100, 353-368, 2018 | 38 | 2018 |
| Activity recognition method for home-based elderly care service based on random forest and activity similarity H Xu, Y Pan, J Li, L Nie, X Xu IEEE Access 7, 16217-16225, 2019 | 33 | 2019 |
| Collaborative fall detection using smart phone and Kinect X Li, L Nie, H Xu, X Wang Mobile Networks and Applications 23, 775-788, 2018 | 25 | 2018 |
| Domain priori knowledge based integrated solution design for internet of services H Xu, X Wang, Y Wang, N Li, Z Tu, Z Wang, X Xu 2020 IEEE international conference on services computing (SCC), 446-453, 2020 | 13 | 2020 |
| RE2SEP: a two-phases pattern-based paradigm for software service engineering X Xu, R Liu, Z Wang, Z Tu, H Xu 2017 IEEE World Congress on Services (SERVICES), 67-70, 2017 | 13 | 2017 |
| Business process modeling and design of smart home service system H Xu, Y Xu, Q Li, C Lv, Y Liu 2012 international joint conference on service sciences, 12-17, 2012 | 13 | 2012 |
| Probability matrix of request-solution mapping for efficient service selection R Liu, X Xu, Z Wang, QZ Sheng, H Xu 2017 IEEE International Conference on Web Services (ICWS), 444-451, 2017 | 12 | 2017 |
| Smart home services based on event matching Q Li, Y Jin, T He, H Xu 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery …, 2013 | 12 | 2013 |
| Community-based service ecosystem evolution analysis M Liu, Z Tu, H Xu, X Xu, Z Wang Service Oriented Computing and Applications 16 (2), 97-110, 2022 | 10 | 2022 |
| Dysr: A dynamic graph neural network based service bundle recommendation model for mashup creation M Liu, Z Tu, H Xu, X Xu, Z Wang IEEE Transactions on Services Computing, 2023 | 9 | 2023 |
| A deep learning based personalized QoE/QoS correlation model for composite services M Li, H Xu, Z Tu, T Su, X Xu, Z Wang 2022 IEEE International Conference on Web Services (ICWS), 312-321, 2022 | 9 | 2022 |
| A graph neural network and pointer network-based approach for QoS-aware service composition X Wang, H Xu, X Wang, X Xu, Z Wang IEEE Transactions on Services Computing, 2022 | 7 | 2022 |
| Survey on requirement-driven microservice system evolution Z Wang, X He, L Liu, Z Tu, H Xu 2020 IEEE International Conference on Services Computing (SCC), 186-193, 2020 | 7 | 2020 |
| Particle swarm optimization service composition algorithm based on prior knowledge H Wang, Y Ding, H Xu Journal of Intelligent Manufacturing 35 (1), 35-53, 2024 | 6 | 2024 |
| How big service and internet of services drive business innovation and transformation H Shi, H Xu, X Xu, Z Wang International Conference on Advanced Information Systems Engineering, 517-532, 2022 | 6 | 2022 |
| T2l2: A tiny three linear layers model for service mashup creation M Liu, Y Zhu, H Xu, Z Tu, Z Wang Service-Oriented Computing: 19th International Conference, ICSOC 2021 …, 2021 | 5 | 2021 |
| Ontology-based resource virtualization method in cloud manufacturing Z Cheng, D Zhan, H Xu Journal of Huazhong University of Science and Technology (Natural Science …, 2013 | 5 | 2013 |
| A collaborative modeling approach for crossover services M Li, Z Tu, X Xu, H Xu, Z Wang 2020 IEEE World Congress on Services (SERVICES), 219-224, 2020 | 4 | 2020 |
| Pattern-based service composition for user satisfaction and service revenue H Xu, Y Zhuang, H Gu, X Xu, Y Zhang International Journal of Services Technology and Management 25 (5-6), 585-600, 2019 | 4 | 2019 |
Zhongjie WangHarbin Institute of TechnologyVerified email at hit.edu.cn
