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Results: 232
Number of items: 232
  • Open Access
    Li, N. (2025). Data quality control and research asset discovery for open science. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    Xin, R., Wang, J., Chen, P., & Zhao, Z. (2025). Trustworthy AI-based Performance Diagnosis Systems for Cloud Applications: A Review. ACM Computing Surveys, 57(5), Article 115. https://doi.org/10.1145/3701740
  • Open Access
    Cheng, L., Chen, X., & Zhao, Z. (2024). Preface of special issue on Artificial Intelligence for time-critical computing systems. Future Generation Computer Systems, 159, 102-104. https://doi.org/10.1016/j.future.2024.05.011
  • Open Access
    Xin, R., Chen, P., Grosso, P., & Zhao, Z. (2024). A fine-grained robust performance diagnosis framework for run-time cloud applications. Future Generation Computer Systems, 155, 300-311. https://doi.org/10.1016/j.future.2024.02.014
  • 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
    Cheng, L., He, H., Gu, Y., Liu, Q., Zhao, Z., & Fang, F. (2024). MARS: Multi-Agent Deep Reinforcement Learning for Real-Time Workflow Scheduling in Hybrid Clouds with Privacy Protection. In 2024 IEEE 30th International Conference on Parallel and Distributed Systems: ICPADS 2024 : 10-14 October 2024, Belgrade, Serbia : proceedings (pp. 657-666). IEEE Computer Society. https://doi.org/10.1109/ICPADS63350.2024.00091
  • Open Access
    Zhu, P., Li, N., & Zhao, Z. (2024). Retrieval-augmented Query Reformulation for Heterogeneous Research Asset Retrieval in Virtual Research Environment. In WWW '24 Companion: Companion proceedings of the ACM Web Conference 2024 : May 13-17, 2024, Singapore, Singapore (pp. 907–910). The Association for Computing Machinery. https://doi.org/10.1145/3589335.3651553
  • Open Access
    Yuan, S., Chen, J., Jiang, W., Zhao, Z., & Guo, S. (2024). LHNetV2: A Balanced Low-Cost Hybrid Network for Single Image Dehazing. IEEE Transactions on Multimedia, 26, 8197-8209. https://doi.org/10.1109/tmm.2024.3377133
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