Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 229
Number of items: 229
  • 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
  • Inamdar, S., & Zhao, Z. (2023). Decoding NFT Market Dynamics with Data. In 2023 IEEE International Conference on Cloud Computing Technology and Science : CloudCom 2023: 4-6 December 2023, Naples, Italy : proceedings (pp. 333-340). IEEE Computer Society. https://doi.org/10.1109/CloudCom59040.2023.00061
  • Klein Wassink, B., & Zhao, Z. (2023). Increasing Robustness of Blockchain Peer-to-Peer Networks with Alternative Peer Initialization. In 2023 IEEE International Conference on Cloud Computing Technology and Science : CloudCom 2023: 4-6 December 2023, Naples, Italy : proceedings (pp. 325-332). IEEE Computer Society. https://doi.org/10.1109/CloudCom59040.2023.00060
  • 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
  • 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
  • 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
  • Open Access
    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
Page 4 of 23