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2020 – today
- 2023
[j2]Mei Long, Xu Wang, Peiji Liu
, Yinghui Tao, Min Gao, Guangzhu Tan, Biyu Yang:
A heterogeneous multi-relations-based method for knowledge-intensive service recommendation. Comput. Ind. Eng. 181: 109327 (2023)- 2022
- [c9]Xifeng Xu, Peng Chen, Yunni Xia, Mei Long, Qinglan Peng, Tingyan Long:
MRoCO: A Novel Approach to Structured Application Scheduling with a Hybrid Vehicular Cloud-Edge Environment. SCC 2022: 84-92 - 2021
- [j1]Lijun Song, Yingying Fu, Jiafu Su, Kangqu Zhou, Mei Long:
A Novel Modeling Method of the Crowdsourcing Design Process for Complex Products-Based an Object-Oriented Petri Net. IEEE Access 9: 41430-41440 (2021) - [c8]Tingyan Long, Peng Chen, Yunni Xia, Ning Jiang, Xu Wang, Mei Long:
A Novel Fault-Tolerant Approach to Web Service Composition upon the Edge Computing Environment. ICWS 2021: 15-31 - [c7]Shixin Xie, Xu Wang, Biyu Yang, Mei Long, Jiyu Zhang, Lei Wang:
A Multi-stage Framework for Complex Task Decomposition in Knowledge-intensive Crowdsourcing. IEEM 2021: 1432-1436 - 2020
- [c6]Qingxian Wang, Mei Long, Han Yang:
A Non-Negative Matrix-Factorization-Based Network Embedding Approach for Hybrid Recommender Systems. CNIOT 2020: 105-110 - [c5]Qinglan Peng, Wanbo Zheng, Yunni Xia, Chunrong Wu, Yin Li, Mei Long, Xiaobo Li:
Reactive Workflow Scheduling in Fluctuant Infrastructure-as-a-Service Clouds Using Deep Reinforcement Learning. CollaborateCom (2) 2020: 285-304 - [c4]Yuyin Ma, Ruilong Yang, Yiqiao Peng, Mei Long, Xiaoning Sun, Wanbo Zheng, Xiaobo Li, Yong Ma:
A Novel Probabilistic-Performance-Aware Approach to Multi-workflow Scheduling in the Edge Computing Environment. CollaborateCom (1) 2020: 640-655 - [c3]Biyu Yang, Xu Wang, Quanwu Zhao, Zhuofei Ding, Mei Long:
Service Providers' Competence Identification in Knowledge-Intensive Crowdsourcing Context. IIAI-AAI 2020: 84-89
2010 – 2019
2000 – 2009
- 2006
- [c1]Jun Wang, Mei Long, Duan Li:
A Total Unimodularity Based Branch-and-Bound Method for Integer Programming. APCCAS 2006: 642-645
Coauthor Index
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