On Stochastic Performance and Cost-Aware Optimal Capacity Planning of Unreliable Infrastructure-as-a-Service Cloud. - Weiling Li; Lei Wu; Yunni Xia; Yuandou Wang; Kunyin Guo; Xin Luo 001; Mingwei Lin; Wanbo Zheng (ICA3PP, 2016)

Percentile performance analysis of infrastructure-as-a-service clouds with task retrials. - Li Zhu; Yuandou Wang; Wanbo Zheng; Lei Wu; Ye Yuan; Peng Chen 007; Yunni Xia (ICNSC, 2017)

On dynamic performance estimation of fault-prone Infrastructure-as-a-Service clouds. - Wanbo Zheng; Yuandou Wang; Yunni Xia; Quanwang Wu; Lei Wu; Kunyin Guo; Weiling Li; Xin Luo 001; Qingsheng Zhu (Int. J. Distributed Sens. Networks, 2017)

An Energy-Aware and Under-SLA-Constraints VM Consolidation Strategy Based on the Optimal Matching Method. - Weiling Li; Yongbo Wang; Yuandou Wang; Yunni Xia; Xin Luo 001; Quanwang Wu (Int. J. Web Serv. Res., 2017)

Performance Estimation of Fault-prone Infrastructure-as-a-Service Cloud Computing Systems and their Cost-aware Optimal Performance Determination. - Kunyin Guo; Ke Yu; Dan Yang; Lei Wu; Yuandou Wang (Mob. Networks Appl., 2017)

A Fluctuation-Aware Approach for Predictive Web Service Composition. - Xiaoning Sun; Jiangchuan Chen; Yunni Xia; Qiang He 001; Yuandou Wang; Xin Luo 001; Rongqing Zhang 003; Wuhong Han; Quanwang Wu (SCC, 2018)

A Multi-stage Dynamic Game-Theoretic Approach for Multi-Workflow Scheduling on Heterogeneous Virtual Machines from Multiple Infrastructure-as-a-Service Clouds. - Yuandou Wang; Jiajia Jiang; Yunni Xia; Quanwang Wu; Xin Luo 001; Qingsheng Zhu (SCC, 2018)

Scheduling Multi-Workflows Over Heterogeneous Virtual Machines With a Multi-Stage Dynamic Game-Theoretic Approach. - Lei Wu; Yuandou Wang (Int. J. Web Serv. Res., 2018)

Multi-Objective Workflow Scheduling With Deep-Q-Network-Based Multi-Agent Reinforcement Learning. - Yuandou Wang; Hang Liu 002; Wanbo Zheng; Yunni Xia; Yawen Li; Peng Chen 007; Kunyin Guo; Hong Xie (IEEE Access, 2019)

Decentralized workflow management on software defined infrastructures. - Yuandou Wang; Zhiming Zhao (SERVICES, 2020)

SPIRIT: A Microservice-Based Framework for Interactive Cloud Infrastructure Planning. - Spiros Koulouzis; Riccardo Bianchi; Robin van der Linde; Yuandou Wang; Zhiming Zhao (Euro-Par Workshops, 2021)

Reliability-Aware and Deadline-Constrained Mobile Service Composition Over Opportunistic Networks. - Qinglan Peng; Yunni Xia; MengChu Zhou; Xin Luo 001; Shu Wang; Yuandou Wang; Chunrong Wu; Shanchen Pang; Mingwei Lin (IEEE Trans Autom. Sci. Eng., 2021)

Scaling Notebooks as Re-configurable Cloud Workflows. - Yuandou Wang; Spiros Koulouzis; Riccardo Bianchi; Na Li; Yifang Shi; Joris Timmermans; W. Daniel Kissling; Zhiming Zhao (Data Intell., 2022)

Featured Cover. - Zhiming Zhao; Spiros Koulouzis; Riccardo Bianchi; Siamak Farshidi; Zeshun Shi; Ruyue Xin; Yuandou Wang; Na Li; Yifang Shi; Joris Timmermans; W. Daniel Kissling (Softw. Pract. Exp., 2022)

Notebook-as-a-VRE (NaaVRE): From private notebooks to a collaborative cloud virtual research environment. - Zhiming Zhao; Spiros Koulouzis; Riccardo Bianchi; Siamak Farshidi; Zeshun Shi; Ruyue Xin; Yuandou Wang; Na Li; Yifang Shi; Joris Timmermans; W. Daniel Kissling (Softw. Pract. Exp., 2022)

Towards a Service-based Adaptable Data Layer for Cloud Workflows. - Yuandou Wang; Nikita Janse; Riccardo Bianchi; Spiros Koulouzis; Zhiming Zhao (COMPSAC, 2023)

Towards a Knowledge Graph Enhanced Automation and Collaboration Framework for Digital Twins. - Vasileios Christou; Yuandou Wang; Zhiming Zhao (e-Science, 2023)

CWL-FLOps: A Novel Method for Federated Learning Operations at Scale. - Chronis Kontomaris; Yuandou Wang; Zhiming Zhao (e-Science, 2023)

Towards a Privacy-Preserving Distributed Cloud Service for Preprocessing Very Large Medical Images. - Yuandou Wang; Neel Kanwal; Kjersti Engan; Chunming Rong; Zhiming Zhao (ICDH, 2023)

A Survey on Dataset Distillation: Approaches, Applications and Future Directions. - Jiahui Geng; Zongxiong Chen; Yuandou Wang; Herbert Woisetschlaeger; Sonja Schimmler; Ruben Mayer; Zhiming Zhao; Chunming Rong (IJCAI, 2023)

Machine Learning Inference on Serverless Platforms Using Model Decomposition. - Adrien Gallego; Uraz Odyurt; Yi Cheng; Yuandou Wang; Zhiming Zhao (UCC, 2023)

Towards Seamless Serverless Computing Across an Edge-Cloud Continuum. - Emilian Simion; Yuandou Wang; Hsiang-Ling Tai; Uraz Odyurt; Zhiming Zhao (UCC, 2023)

WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval. - Zahra Tabatabaei; Yuandou Wang; Adrián Colomer; Javier Oliver Moll; Zhiming Zhao; Valery Naranjo (CoRR, 2023)

CrowdAL: Towards a Blockchain-empowered Active Learning System in Crowd Data Labeling. - Shaojie Hou; Yuandou Wang; Zhiming Zhao (e-Science, 2024)

A Collaborative Framework for Facilitating Federated Learning among Jupyter Users. - Anandan Krishnasamy; Yuandou Wang; Zhiming Zhao (e-Science, 2024)

PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds. - Yuandou Wang; Neel Kanwal; Kjersti Engan; Chunming Rong; Paola Grosso; Zhiming Zhao (Euro-Par (1), 2024)

Towards Privacy-, Budget-, and Deadline-Aware Service Optimization for Large Medical Image Processing across Hybrid Clouds. - Yuandou Wang; Neel Kanwal; Kjersti Engan; Chunming Rong; Paola Grosso; Zhiming Zhao (CoRR, 2024)

Decentralized Virtual Research Environment: Empowering Peer-to-Peer Trustworthy Data Sharing and Collaboration. - Yuandou Wang; Siamak Farshidi; Sheejan Tripathi; Zhiming Zhao (CoRR, 2024)

Managing Federated Learning on Decentralized Infrastructures as a Reputation-based Collaborative Workflow. - Yuandou Wang; Zhiming Zhao (CoRR, 2025)