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Results: 232
Number of items: 232
  • Zhang, J., Cheng, L., Liu, C., Zhao, Z., & Mao, Y. (2023). Cost-aware scheduling systems for real-time workflows in cloud: An approach based on Genetic Algorithm and Deep Reinforcement Learning. Expert Systems With Applications, 234, Article 120972. https://doi.org/10.1016/j.eswa.2023.120972
  • Open Access
    Kontomaris, C., Wang, Y., & Zhao, Z. (2023). CWL-FLOps: A Novel Method for Federated Learning Operations at Scale. In 2023 IEEE 19th International Conference on e-Science: (e-Science) : October 9-14, 2023, Limassol, Cyprus : proceedings (pp. 479-480). Article 69 IEEE. https://doi.org/10.1109/e-Science58273.2023.10254788
  • Chen, S., Huang, G., Lin, S., Jiang, W., & Zhao, Z. (2023). Overlapping Community Discovery Algorithm Based on Three-Level Neighbor Node Influence. In Y. Xu, H. Yan, H. Teng, J. Cai, & J. Li (Eds.), Machine Learning for Cyber Security: 4th International Conference, ML4CS 2022, Guangzhou, China, December 2–4, 2022 : proceedings (Vol. II, pp. 335-344). (Lecture Notes in Computer Science; Vol. 13656). Springer. https://doi.org/10.1007/978-3-031-20099-1_28
  • Open Access
    Wang, Y., Janse, N., Bianchi, R., Koulouzis, S., & Zhao, Z. (2023). Towards a Service-based Adaptable Data Layer for Cloud Workflows. In H. Shahriar, Y. Teranishi, A. Cuzzocrea, M. Sharmin, D. Towey, A. K. M. J. A. Majumder, H. Kashiwazaki, J.-J. Yang, M. Takemoto, N. Sakib, R. Banno, & S. I. Ahamed (Eds.), 2023 IEEE 47th Annual Computers, Software, and Applications Conference: 27-29 June 2023, Torino, Italy : proceedings (pp. 904-911). (COMPSAC; Vol. 2023). IEEE Computer Society. https://doi.org/10.1109/COMPSAC57700.2023.00121
  • Li, J., Li, J., Xie, C., Liang, Y., Qu, K., Cheng, L., & Zhao, Z. (2023). PipCKG-BS: A Method to Build Cybersecurity Knowledge Graph for Blockchain Systems via the Pipeline Approach. Journal of Circuits, Systems and Computers, 32(16), Article 2350274. https://doi.org/10.1142/S0218126623502742
  • 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
  • Song, Y., Xin, R., Chen, P., Zhang, R., Chen, J., & Zhao, Z. (2023). Identifying performance anomalies in fluctuating cloud environments: A robust correlative-GNN-based explainable approach. Future Generation Computer Systems, 145, 77-86. https://doi.org/10.1016/j.future.2023.03.020
  • Li, N., Zhang, Y., & Zhao, Z. (2023). CNSVRE: A Query Reformulated Search System with Explainable Summarization for Virtual Research Environment. In The ACM Web Conference 2023: Companion of the World Wide Web Conference WWW 2023 : April 30-May 4, 2023, Austin, Texas, USA (pp. 254-257). Association for Computing Machinery. https://doi.org/10.1145/3543873.3587360
  • Fuertes Blanco, A., Shi, Z., Roy, D., & Zhao, Z. (2023). Improving the Resiliency of Decentralized Crowdsourced Blockchain Oracles. In J. Mikyška, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2023: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023 : proceedings (Vol. I, pp. 3-17). (Lecture Notes in Computer Science; Vol. 14073). Springer. https://doi.org/10.1007/978-3-031-35995-8_1
  • Ashraf, A., Belleman, R. G., & Zhao, Z. (2023). Visualization Techniques and Tools for Developing Digital Twins of Ecosystems: State-of-the-Art and Selection. In Proceedings, 2023 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Autonomous & Trust Vehicles, Scalable Computing and Communications, Digital Twin, Privacy Computing and Data Security, Metaverse: (SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PCDS/Metaverse 2023) : Portsmouth, UK, 28-31 August 2023 (pp. 225-232). IEEE Computer Society. https://doi.org/10.1109/SWC57546.2023.10448753
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