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期刊论文：
[1] Shuang Wang
[2] Shuang Wang, Zian Yuan, Xiaodong Zhang, Jiawen Wu, Yamin Wang,Cloud-edge-end workflow scheduling with multiple privacy levels, Journal of Parallel and Distributed Computing, Volume 189,2024,104882.
[3] Shuang Wang, Jiawen Wu, Zian Yuan, An Gao, et al.Makespanminimization for workflows with multiple privacy levels, Future Generation ComputerSystems,2024,ISSN0167-739X,Volume 159,2024,Pages 39-50.
[4] Shuang Wang, He Zhang, Quan Z. Sheng, Xiaoping Li, Zhu Sun, Taotao Cai, Wei Emma Zhang, Jian Yang, and Qing Gao.A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities, IEEE Transactions on Big Data, doi: 10.1109/TBDATA.2024.3423677.
[5] Shuang Wang, Xiaoping Li, Quan Z Sheng and Amin Beheshti. Performance Analysis and Optimization on Scheduling Stochastic Cloud Service Requests: A Survey, IEEE Transactions on Network and Service Management, 2022, doi: 10.1109/TNSM.2022.3181145.
[6]王爽, 李小平, 陈龙. 云环境下随机请求性能分析综述. 计算机学报, 45（6）: 2022. (CCF A)
[7] Zhi-Zhong Liu，Quan Z. Sheng， Zhengxing Zhang， Xiaofei Xu， Dianhui Chu， Jian Yu and Shuang Wang. Accurate and reliable service recommendation based on bilateral perception in multi-access edge computing. IEEE Transactions on Services Computing, 2022, doi: 10.1109/TSC.2022.3155448 （CCF A）.
[8]Shuang Wang, Xiaoping Li, Quan Z. Sheng, Ruben Ruiz, Jinquan Zhang and Amin Beheshti. Multi-Queue Request Scheduling for Profit Maximization in IaaS Clouds. IEEE Transactions on Parallel and Distributed Systems, vol.~32, no.~11, pp. 2838--2851, 2021. (CCF A)
[9]Haihua Gu, Xiaoping Li Muyao Liu and Shuang Wang. Scheduling method with adaptive learning for microservice workflows with hybrid resource provisioning. International Journal of Machine Learning and Cybernetics, 2021,12(10): 3037-3048.
[10] Shuang Wang, Xiaoping Li and Ruben Ruiz. Performance analysis for heterogeneous cloud servers using queueing theory. IEEE Transactions on Computers, vol.~69, no.~4, pp. 563--576, 2020. (CCF A)
会议论文：
[1]Jianchao Lu, Yuzhe Tian, Shuang Wang, Quan Z. Sheng, Xi Zheng. PearNet: A Perarson Correlation-based Graph Attention Network for Sleep Stage Recognition. DSAA 2022.
[2]Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Michael Sheng, Stephen Elbourn, Hamid Alinejad-Rokny and Elizabeth Galanis. Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Instructors’ Workload in Marking Exams. Aritficial intelligence in Education 2021. Springer, Cham, 2021: 384-389.
[2] Amin Beheshti, Vahid Moraveji Hashemi and Shuang Wang. Towards Predictive Analytics in Mental Health Care. International Joint Conference on Neural Networks 2021. IEEE, 2021: 1-7.
[3]Shuang Wang, QuanZ. Sheng, Xiaoping Li, Adnan Mahmood and Yang Zhang. Energy Minimization for Cloud Services with Stochastic Requests. 18th International Conference on Service Oriented Computing(ICSOC 2020). Springer, Cham, 2020: 133-148.
[4]Yan Yan, Xin Gao, Adnan Mahmood, Yang Zhang, Shuang Wang and Quan Z. Sheng. An Arithmetic Differential Privacy Budget Allocation Method for the Partitioning and Publishing of Location Information. IEEE TrustCom 2020 , IEEE, 2020: 1395-1401.
[5] Michael Sheng, Jian Yu, Wei Emma Zhang, Shuang Wang, Xiaoping Li and Boualem Benatallah. Designing and Building Context-Aware Services: The ContextServ Project. Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future: Essays Dedicated to Michael Papazoglou on the Occasion of His 65th Birthday and His Retirement, 138.
[6] Shuang Wang, Xiaoping Li, Ruben Ruiz and Yun Wang. Cost Minimization for Service Providers with Impatient Consumers in Cloud Computing. In 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD) 2019, pp. 374-379.
