Home > Research > Researchers > Dr Zhengxin Yu > Publications

Dr Zhengxin Yu

Senior Research Associate

  1. Journal article
  2. Published

    Computation offloading in blockchain-enabled MCS systems: A scalable deep reinforcement learning approach

    Chen, Z., Zhang, J., Huang, Z., Wang, P., Yu, Z. & Miao, W., 30/04/2024, In: Future Generation Computer Systems. 153, p. 301-311 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Published

    Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph

    Lu, Y., Yu, Z. & Suri, N., 31/08/2023, In: ACM Transactions on Privacy and Security. 26, 3, p. 1-39 39 p., 33.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Published

    DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks

    Jiang, X., Yu, Z., Hai, C., Liu, H., Wu, X. & Ward, T., 30/06/2023, In: ACM Transactions on Knowledge Discovery from Data. 17, 3, p. 43:1-43:21 21 p., 43.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Published

    Intelligent Offloading in Blockchain-Based Mobile Crowdsensing Using Deep Reinforcement Learning

    Chen, Z. & Yu, Z., 30/06/2023, In: IEEE Communications Magazine. 61, 6, p. 118-123 6 p., 6.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. Published

    Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph

    Lu, Y., Yu, Z. & Suri, N., 1/10/2022, In: arXiv. abs/2210.00325, 26 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. Published

    PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models.

    Hackett, W., Trawicki, S., Yu, Z., Suri, N. & Garraghan, P., 13/09/2022, In: arXiv. abs/2209.06300, 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Published

    Pinch: An Adversarial Extraction Attack Framework for Deep Learning Models

    Hackett, W., Trawicki, S., Yu, Z., Suri, N. & Garraghan, P., 13/09/2022, In: arXiv.

    Research output: Contribution to Journal/MagazineJournal article

  9. Published

    Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning

    Yu, Z., Hu, J., Min, G., Zhao, Z., Miao, W. & Hossain, M. S., 31/08/2021, In: IEEE Transactions on Intelligent Transportation Systems. 22, 8, p. 5341-5351 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. Published

    Location-based Robust Beamforming Design for Cellular-enabled UAV Communications

    Miao, W., Luo, C., Min, G., Mi, Y. & Yu, Z., 15/06/2021, In: IEEE Internet of Things Journal. 8, 12, p. 9934-9944 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. E-pub ahead of print

    Privacy-preserving federated deep learning for cooperative hierarchical caching in fog computing

    Yu, Z., Hu, J., Min, G., Wang, Z., Miao, W. & Li, S., 18/05/2021, (E-pub ahead of print) In: IEEE Internet of Things Journal. 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

Previous 1 2 Next

Back to top