Dr. LIU Ziquan (劉子泉)

Research Output

  1. 2024
  2. Published

    Artificial Neural Network Configuration And Deployment

    CUI, Y. (Inventor), LIU, Z. (Inventor), YAO, W. (Inventor), LI, Q. (Inventor), CHAN, A. B. (Inventor), KUO, T.-W. (Inventor) & XUE, C. J. (Inventor), 17 Sept 2024, Patent No. US 12,093,817B2, Priority No. 17/000,612

    Research output: Patents, Agreements and AssignmentsRGC 51 - Patents (CityUHK)

    Check@CityULib
  3. Accepted/In press/Filed

    Method And System For Watermarking Images, And Method And System For Detecting A Watermark In An Image

    CHAN, A. B. (Inventor), LIU, Z. (Inventor) & CHEN, F. (Inventor), 25 Apr 2024, (Accepted/In press/Filed) Priority No. 18/646,105

    Research output: Patents, Agreements and AssignmentsRGC 51 - Patents (CityUHK)

    Check@CityULib
  4. 2023
  5. Published

    Variational Nested Dropout

    Cui, Y., Mao, Y., Liu, Z., Li, Q., Chan, A. B., Liu, X. & Kuo, T.-W. & 1 others, Xue, C. J., Aug 2023, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45, 8, p. 10519-10534

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 4
    Check@CityULib
  6. Published

    TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization

    Liu, Z., Xu, Y., Ji, X. & Chan, A. B., Jun 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. Institute of Electrical and Electronics Engineers, Inc., p. 16436-16446

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Check@CityULib
  7. Published

    Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images

    Cui, Y., Liu, Z., Liu, X., Liu, X., Wang, C., Kuo, T.-W. & Xue, C. J. & 1 others, Chan, A. B., May 2023, The Eleventh International Conference on Learning Representations. 11 p.

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Scopus citations: 13
    Check@CityULib
  8. Published

    Clustering Hidden Markov Models With Variational Bayesian Hierarchical EM

    Lan, H., Liu, Z., Hsiao, J. H., Yu, D. & Chan, A. B., Mar 2023, In: IEEE Transactions on Neural Networks and Learning Systems. 34, 3, p. 1537-1551 15 p.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 11
    Check@CityULib
  9. Published

    DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks

    Wu, Q., Yang, T., Liu, Z., Wu, B., Shan, Y. & Chan, A. B., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. Institute of Electrical and Electronics Engineers, Inc., p. 14561-14571 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Scopus citations: 72
    Check@CityULib
  10. 2022
  11. Published

    An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation

    Liu, Z., Xu, Y., Xu, Y., Qian, Q., Li, H., Jin, R. & Ji, X. & 1 others, Chan, A. B., Nov 2022.

    Research output: Conference PapersRGC 32 - Refereed conference paper (without host publication)peer-review

    Check@CityULib
  12. Published

    Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization

    Liu, Z. & Chan, A. B., Nov 2022, BMVC 2022 - 33rd British Machine Vision Conference Proceedings. British Machine Vision Association, BMVA, 14 p. (BMVC - British Machine Vision Conference Proceedings).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Scopus citations: 4
    Check@CityULib
  13. Published

    Improved Fine-Tuning by Better Leveraging Pre-Training Data

    Liu, Z., Xu, Y., Xu, Y., Qian, Q., Li, H., Ji, X. & Chan, A. B. & 1 others, Jin, R., Nov 2022, 36th Conference on Neural Information Processing Systems (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural Information Processing Systems Foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Scopus citations: 21
    Check@CityULib
  14. Published

    PRIMAL-GMM: PaRametrIc MAnifold Learning of Gaussian Mixture Models

    Liu, Z., Yu, L., Hsiao, J. H. & Chan, A. B., Jun 2022, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44, 6, p. 3197-3211

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 4
    Check@CityULib
  15. 2021
  16. Published

    Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations

    Liu, Z., Cui, Y. & Chan, A. B., Jul 2021. 14 p.

    Research output: Conference PapersRGC 32 - Refereed conference paper (without host publication)peer-review

    Check@CityULib
  17. Published

    Fully Nested Neural Network for Adaptive Compression and Quantization

    Cui, Y., Liu, Z., Yao, W., Li, Q., Chan, A. B., Kuo, T.-W. & Xue, C. J., Jan 2021, Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence. Bessiere, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 2080-2087 (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Scopus citations: 13
    Check@CityULib
  18. Published

    A Generalized Loss Function for Crowd Counting and Localization

    Wan, J., Liu, Z. & Chan, A. B., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition: CVPR 2021. Institute of Electrical and Electronics Engineers, Inc., p. 1974-1983 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Scopus citations: 178
    Check@CityULib
  19. Published

    Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression

    Cui, Y., Liu, Z., Li, Q., Chan, A. B. & Xue, C. J., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition: CVPR 2021. Institute of Electrical and Electronics Engineers, Inc., p. 2392-2401 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Scopus citations: 6
    Check@CityULib
  20. 2019
  21. Published

    Parametric Manifold Learning of Gaussian Mixture Models

    Liu, Z., Yu, L., Hsiao, J. H. & Chan, A. B., Aug 2019, Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19). Kraus, S. (ed.). Macau: International Joint Conferences on Artificial Intelligence, p. 3073-3079 (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Scopus citations: 2
    Check@CityULib