| Multi-objective workflow scheduling with deep-Q-network-based multi-agent reinforcement learning Y Wang, H Liu, W Zheng, Y Xia, Y Li, P Chen, K Guo, H Xie IEEE access 7, 39974-39982, 2019 | 270 | 2019 |
| Notebook‐as‐a‐VRE (NaaVRE): From private notebooks to a collaborative cloud virtual research environment Z Zhao, S Koulouzis, R Bianchi, S Farshidi, Z Shi, R Xin, Y Wang, N Li, ... Software: Practice and Experience 52 (9), 1947-1966, 2022 | 17 | 2022 |
| A multi-stage dynamic game-theoretic approach for multi-workflow scheduling on heterogeneous virtual machines from multiple infrastructure-as-a-service clouds Y Wang, J Jiang, Y Xia, Q Wu, X Luo, Q Zhu International conference on services computing, 137-152, 2018 | 16 | 2018 |
| A survey on dataset distillation: Approaches, applications and future directions J Geng, Z Chen, Y Wang, H Woisetschlaeger, S Schimmler, R Mayer, ... arXiv preprint arXiv:2305.01975, 2023 | 11 | 2023 |
| WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval Z Tabatabaei, Y Wang, A Colomer, J Oliver Moll, Z Zhao, V Naranjo https://arxiv.org/abs/2305.03383, 2023 | 5 | 2023 |
| Scaling Notebooks as Re-configurable Cloud Workflows Y Wang, S Koulouzis, R Bianchi, N Li, Y Shi, J Timmermans, ... Data Intelligence 4 (2), 409-425, 2022 | 4 | 2022 |
| Federating Medical Deep Learning Models from Private Jupyter Notebooks to Distributed Institutions L Launet, Y Wang, A Colomer, J Igual, C Pulgarín-Ospina, S Koulouzis, ... Applied Sciences 13 (2), 919, 2023 | 3 | 2023 |
| Towards a privacy-preserving distributed cloud service for preprocessing very large medical images Y Wang, N Kanwal, K Engan, C Rong, Z Zhao 2023 IEEE International Conference on Digital Health (ICDH), 325-327, 2023 | 2 | 2023 |
| Decentralized workflow management on software defined infrastructures Y Wang, Z Zhao 2020 IEEE World Congress on Services (SERVICES), 265-268, 2020 | 1 | 2020 |
| Towards Privacy-, Budget-, and Deadline-Aware Service Optimization for Large Medical Image Processing across Hybrid Clouds Y Wang, N Kanwal, K Engan, C Rong, P Grosso, Z Zhao arXiv preprint arXiv:2401.12597, 2024 | | 2024 |
| Machine Learning Inference on Serverless Platforms Using Model Decomposition A Gallego, U Odyurt, Y Cheng, Y Wang, Z Zhao Proceedings of the IEEE/ACM 16th International Conference on Utility and …, 2023 | | 2023 |
| Towards Seamless Serverless Computing Across an Edge-Cloud Continuum E Simion, Y Wang, H Tai, U Odyurt, Z Zhao Proceedings of the IEEE/ACM 16th International Conference on Utility and …, 2023 | | 2023 |
| Towards a Knowledge Graph Enhanced Automation and Collaboration Framework for Digital Twins V Christou, Y Wang, Z Zhao 2023 IEEE 19th International Conference on e-Science (e-Science), 1-2, 2023 | | 2023 |
| CWL-FLOps: A Novel Method for Federated Learning Operations at Scale C Kontomaris, Y Wang, Z Zhao 2023 IEEE 19th International Conference on e-Science (e-Science), 1-2, 2023 | | 2023 |
| Towards a Service-based Adaptable Data Layer for Cloud Workflows Y Wang, N Janse, R Bianchi, S Koulouzis, Z Zhao 2023 IEEE 47th Annual Computers, Software, and Applications Conference …, 2023 | | 2023 |
| SPIRIT: A Microservice-Based Framework for Interactive Cloud Infrastructure Planning S Koulouzis, R Bianchi, R der Linde, Y Wang, Z Zhao European Conference on Parallel Processing, 405-416, 2021 | | 2021 |
Zhiming ZhaoAssociate professor - University of AmsterdamVerified email at uva.nl
