Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 18
Number of items: 18
  • Open Access
    Wang, Y., Tripathi, S., Farshidi, S., & Zhao, Z. (2025). D-VRE: From a Jupyter-enabled Private Research Environment to Decentralized Collaborative Research Ecosystem. Blockchain: Research and Applications, 6(1), Article 100244. https://doi.org/10.1016/j.bcra.2024.100244
  • Open Access
    Wang, Y. (2025). From computational notebooks to collaborative workflows: A decentralized virtual research environment solution. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Wang, Y., Kanwal, N., Engan, K., Rong, C., Grosso, P., & Zhao, Z. (2024). PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds. In J. Carretero, S. Shende, J. Garcia-Blas, I. Brandic, K. Olcoz, & M. Schreiber (Eds.), Euro-Par 2024: Parallel Processing: 30th European Conference on Parallel and Distributed Processing, Madrid, Spain, August 26–30, 2024 : proceedings (Vol. I, pp. 210-224). (Lecture Notes in Computer Science; Vol. 14801), (Advanced Research in Computing and Software Science). Springer. https://doi.org/10.1007/978-3-031-69577-3_15
  • Open Access
    Krishnasamy, A., Wang, Y., & Zhao, Z. (2024). A Collaborative Framework for Facilitating Federated Learning among Jupyter Users. In EScience '24 proceedings: 2024 IEEE 20th International Conference on e-Science (e-Science) : September 16-20, 2024, Osaka, Japan (pp. 305-306). IEEE. https://doi.org/10.1109/e-science62913.2024.10678679
  • Open Access
    Hou, S., Wang, Y., & Zhao, Z. (2024). CrowdAL: Towards a Blockchain-empowered Active Learning System in Crowd Data Labeling. In EScience '24 proceedings: 2024 IEEE 20th International Conference on e-Science (e-Science) : September 16-20, 2024, Osaka, Japan (pp. 299-300). IEEE. https://doi.org/10.1109/e-science62913.2024.10678683
  • Geng, J., Chen, Z., Wang, Y., Woisetschläger, H., Schimmler, S., Mayer, R., Zhao, Z., & Rong, C. (2023). A Survey on Dataset Distillation: Approaches, Applications and Future Directions. In E. Elkind (Ed.), Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence: IJCAI 2023, Macao, S.A.R, 19-25 August 2023 (Vol. 10, pp. 6610-6618). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2023/741
  • Open Access
    Gallego, A., Odyurt, U., Cheng, Y., Wang, Y., & Zhao, Z. (2023). Machine Learning Inference on Serverless Platforms Using Model Decomposition. In The 16th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2023): 4-7 December 2023, Hotel Villa Diadoro, Taormina (ME), Italy Article 33 Association for Computing Machinery. https://doi.org/10.1145/3603166.3632535
  • Open Access
    Tabatabaei, Z., Wang, Y., Colomer, A., Oliver Moll, J., Zhao, Z., & Naranjo, V. (2023). WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval. Bioengineering, 10(10), Article 1144. https://doi.org/10.3390/bioengineering10101144
  • Open Access
    Wang, Y., Kanwal, N., Engan, K., Rong, C., & Zhao, Z. (2023). Towards a Privacy-Preserving Distributed Cloud Service for Preprocessing Very Large Medical Images. In C. K. Chang, R. N. Chang, J. Fan, G. C. Fox, Z. Jin, G. Pravadelli, & H. Shahriar (Eds.), 2023 IEEE International Conference on Digital Health: IEEE ICDH 2023 : hybrid conference, Chicago, Illinois, 2-8 July 2023 : proceedings (pp. 325-327). IEEE Computer Society. https://doi.org/10.1109/ICDH60066.2023.00055
  • Open Access
    Christou, V., Wang, Y., & Zhao, Z. (2023). Towards a Knowledge Graph Enhanced Automation and Collaboration Framework for Digital Twins. In 2023 IEEE 19th International Conference on e-Science: (e-Science) : October 9-14, 2023, Limassol, Cyprus : proceedings (pp. 465-466). Article 62 IEEE. https://doi.org/10.1109/e-Science58273.2023.10254845
Page 1 of 2