A heterogeneous multi-relations-based method for knowledge-intensive service recommendation.
Comput. Ind. Eng., July, 2023
MRoCO: A Novel Approach to Structured Application Scheduling with a Hybrid Vehicular Cloud-Edge Environment.
Proceedings of the IEEE International Conference on Services Computing, 2022
A Novel Modeling Method of the Crowdsourcing Design Process for Complex Products-Based an Object-Oriented Petri Net.
IEEE Access, 2021
A Multi-stage Framework for Complex Task Decomposition in Knowledge-intensive Crowdsourcing.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2021
A Novel Fault-Tolerant Approach to Web Service Composition upon the Edge Computing Environment.
Proceedings of the Web Services - ICWS 2021, 2021
Service Providers' Competence Identification in Knowledge-Intensive Crowdsourcing Context.
Proceedings of the 9th International Congress on Advanced Applied Informatics, 2020
Reactive Workflow Scheduling in Fluctuant Infrastructure-as-a-Service Clouds Using Deep Reinforcement Learning.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020
A Novel Probabilistic-Performance-Aware Approach to Multi-workflow Scheduling in the Edge Computing Environment.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020
A Non-Negative Matrix-Factorization-Based Network Embedding Approach for Hybrid Recommender Systems.
Proceedings of the CNIOT 2020: 2020 International Conference on Computing, 2020
Weighted Node Importance Contribution Correlation Matrix for Identifying China's Core Metro Technologies with Patent Network Analysis.
Proceedings of the Knowledge Science, Engineering and Management, 2016
A Total Unimodularity Based Branch-and-Bound Method for Integer Programming.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems 2006, 2006