Dr. LIU Ziquan (劉子泉)
Research Output
- 2024
- 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. 17/000,612Research output: Patents, Agreements and Assignments › RGC 51 - Patents (CityUHK)
- 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. 18/646,105Research output: Patents, Agreements and Assignments › RGC 51 - Patents (CityUHK)
- 2023
- Published
Variational Nested Dropout
Cui, Y., Mao, Y., Liu, Z., Li, Q., Chan, A. B., Liu, X. & Kuo, T.-W. & 1 others, , Aug 2023, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45, 8, p. 10519-10534Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 4 - 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. 16436-16446Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
- 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, , May 2023, The Eleventh International Conference on Learning Representations. 11 p.Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 13 - 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 Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 11 - 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 Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 72 - 2022
- 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, , Nov 2022.Research output: Conference Papers › RGC 32 - Refereed conference paper (without host publication) › peer-review
- 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 Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 4 - 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, , 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 Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 21 - 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. 3197-3211Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 4 - 2021
- 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 Papers › RGC 32 - Refereed conference paper (without host publication) › peer-review
- 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 Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 13 - 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 Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 178 - 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 Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 6 - 2019
- 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 Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 2