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Cushing, R., Zhou, X., Belloum, A., Grosso, P., van Engers, T., & de Laat, C. (2023). Enabling Collaborative Multi-Domain Applications: A Blockchain-Based Solution with Petri Net Workflow Modeling and Incentivization. In 2023 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications: TPS-ISA 2023 : Atlanta, GA, USA, 1-3 November 2023 : proceedings (pp. 222-229). IEEE. https://doi.org/10.1109/TPS-ISA58951.2023.00036
Li, N., Zhang, Y., & Zhao, Z. (2023). A Dense Retrieval System and Evaluation Dataset for Scientific Computational Notebooks. In 2023 IEEE 19th International Conference on e-Science: (e-Science) : October 9-14, 2023, Limassol, Cyprus : proceedings (pp. 179-188). Article 19 IEEE. https://doi.org/10.1109/e-Science58273.2023.10254859
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
Liu, H., Oudejans, M., Xin, R., Grosso, P., & Zhao, Z. (2023). A Performance-Adaptive and Time-Monitored Autonomous Ticket Booking Service in Cloud. In 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE): 19-21 June, 2023, Helsinki-Espoo, Finland : proceedings (pp. 940-945). IEEE. https://doi.org/10.1109/ISIE51358.2023.10228152
Zhu, Z., Ai, C., Chen, H., Chen, B., Duan, W., Qiu, X., Lu, X., He, M., Zhao, Z., & Liu, Z. (2023). Understanding the Necessity and Economic Benefits of Lockdown Measures to Contain COVID-19. IEEE Transactions on Computational Social Systems, 10(4), 1888-1900. https://doi.org/10.1109/TCSS.2022.3194639
La Marra, M., Blanson Henkemans, D., Titocci, J., Koulouzis, S., Rosati, I., & Zhao, Z. (2023). Integrating R in a distributed scientific workflow via a Jupyter-based Environment. In 2023 IEEE 19th International Conference on e-Science: (e-Science) : October 9-14, 2023, Limassol, Cyprus : proceedings (pp. 481-482). Article 70 IEEE. https://doi.org/10.1109/e-Science58273.2023.10254945
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
Alsayed Kassem, J., Zhong, L., Taal, A., & Grosso, P. (2023). Adaptive Services Function Chain Orchestration for Digital Health Twin Use Cases: Heuristic-boosted Q-Learning Approach. In C. J. Bernardos, B. Martini, E. Rojas, F. L. Verdi, Z. Zhu, E. Oki, & H. Parzyjegla (Eds.), 2023 IEEE 9th International Conference on Network Softwarization (NetSoft 2023) : proceedings: Boosting Future Networks through Advanced Softwarization : 19-23 June 2023, Madrid, Spain (pp. 187-191). IEEE. https://doi.org/10.1109/NetSoft57336.2023.10175506
Xin, R., Chen, P., & Zhao, Z. (2023). CausalRCA: Causal inference based precise fine-grained root cause localization for microservice applications. Journal of Systems and Software, 203, Article 111724. https://doi.org/10.1016/j.jss.2023.111724
Dreuning, H., Verstoep, K., Bal, H. E., & van Nieuwpoort, R. V. (2023). CAPTURE: Memory-Centric Partitioning for Distributed DNN Training with Hybrid Parallelism. In 2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics: HiPC 2023 : 18-21 December 2023, Goa, India : proceedings (pp. 76-86). IEEE. https://doi.org/10.1109/HiPC58850.2023.00023

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