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Y. Chen

Dr.

 https://orcid.org/0000-0002-4228-6735

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  • Adaptive Differential Privacy Noise Injection for Decentralized Federated Learning of Visual Recognition Tasks

    Ouyang, J., Du, S., Han, R., Liu, C. H., Zhao, J., Wu, X. & Chen, L. Y., 2026, In: International Journal of Computer Vision. 134, 8, 18 p., 358.

    Research output: Contribution to journal › Article › Scientific › peer-review

  • BatMan-CLR: Making Few-Shots Meta-learners Resilient Against Label Noise

    Galjaard, J. M., Birke, R., Pérez, J. F. & Chen, L. Y., 2026, Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Proceedings. Ribeiro, R. P., Soares, C., Gama, J., Pfahringer, B., Japkowicz, N., Larrañaga, P., Jorge, A. M. & Abreu, P. H. (eds.). Springer, p. 254-271 18 p. (Lecture Notes in Computer Science; vol. 16018 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    File

  • CCBNet: Confidential Collaborative Bayesian Networks Inference

    Mălan, A., Guzella, T., Decouchant, J. & Chen, L., 2026, Financial Cryptography and Data Security - 29th International Conference, FC 2025, Revised Selected Papers. Garman, C. & Moreno-Sanchez, P. (eds.). Cham: Springer, p. 383-400 18 p. (Lecture Notes in Computer Science; vol. 15752 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    File
    1 Downloads (Pure)

  • ConvertNet: Training-time Model Scaling for In-vehicle Continuous Learning

    Zhang, Q., Han, R., Liu, C. H., Wang, G. & Chen, L. Y., 2026, In: IEEE Transactions on Mobile Computing. 25, 7, p. 10438-10454 17 p.

    Research output: Contribution to journal › Article › Scientific › peer-review

    Open Access
    File
    1   Link opens in a new tab Citation (Scopus)

  • Federated Time Series Generation on Feature and Temporally Misaligned Data

    Soi, Z. W., Fan, C., Shankar, A., Malan, A. & Chen, L. Y., 2026, Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Proceedings. Ribeiro, R. P., Jorge, A. M., Soares, C., Gama, J., Pfahringer, B., Japkowicz, N., Larrañaga, P. & Abreu, P. H. (eds.). Springer, p. 384-399 16 p. (Lecture Notes in Computer Science; vol. 16014 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    File
    1   Link opens in a new tab Citation (Scopus)
    1 Downloads (Pure)
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