Home > Research > Researchers > Dr Yi Li > Publications

Research

Dr Yi Li

Senior Research Associate i

1 - 10 out of 14Page size: 10
RSS feed of this list
  1. 2025
  2. E-pub ahead of print

    Prototype-Based Continual Learning with Label-free Replay Buffer and Cluster Preservation Loss

    Aghasanli, A., Li, Y. & Angelov, P., 11/06/2025, (E-pub ahead of print) Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. IEEE

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  3. Published

    Vision-based Landing Guidance through Tracking and Orientation Estimation

    Ferreira, J., Pinto, J., Moura, J., Li, Y., Castro, C. & Angelov, P., 8/04/2025, 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  4. Forthcoming

    Detecting Cross-domain Deepfake Videos with Contrastive Prototype Learning

    Li, Y. & Angelov, P., 31/03/2025, (Accepted/In press) International Joint Conference on Neural Networks.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  5. 2024
  6. Published

    Adversarial Attack Detection via Fuzzy Predictions

    Li, Y., Angelov, P. & Suri, N., 31/12/2024, In: IEEE Transactions on Fuzzy Systems. 32, 12, p. 7015-7024 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  7. Forthcoming

    Complex-Cycle-Consistent Diffusion Model for Monaural Speech Enhancement

    Li, Y., Sun, Y. & Angelov, P., 9/12/2024, (Accepted/In press) Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence. Philadelphia: AAAI

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  8. Published

    Self-Supervised Representation Learning for Adversarial Attack Detection

    Li, Y., Angelov, P. & Suri, N., 26/11/2024, Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part I. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Cham: Springer, p. 236-252 18 p. (Lecture Notes in Computer Science; vol. 15118).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  9. Forthcoming

    Explainable Audio-Visual Representation Learning via Prototypical Contrastive Masked Autoencoder

    Li, Y. & Angelov, P., 15/11/2024, (Accepted/In press) The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NIPS).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  10. Forthcoming

    Robust Self-Supervised Learning for Adversarial Attack Detection

    Li, Y., Angelov, P. & Suri, N., 15/11/2024, (Accepted/In press) The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NIPS).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  11. Published

    UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification

    Lopez Pellicer, A., Giatgong, K., Li, Y., Suri, N. & Angelov, P., 9/09/2024, 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  12. E-pub ahead of print

    Rethinking Self-Supervised Learning for Cross-Domain Adversarial Sample Recovery

    Li, Y., Angelov, P. & Suri, N., 30/06/2024, (E-pub ahead of print) 2024 International Joint Conference on Neural Networks (IJCNN). IEEE

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Previous 1 2 Next

Back to top