| A generalized loss function for crowd counting and localization J Wan, Z Liu, AB Chan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 232 | 2021 |
| DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks Q Wu, T Yang, Z Liu, B Wu, Y Shan, AB Chan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 112 | 2023 |
| Improved Fine-tuning by Better Leveraging Pre-training Data Z Liu, Y Xu, Y Xu, Q Qian, H Li, A Chan, R Jin Advances in Neural Information Processing Systems (NeurIPS), 2022 | 58* | 2022 |
| Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions RI Masoud, Z Liu, M Ferianc, P Treleaven, M Rodrigues International Conference on Computational Linguistics (COLING), 2025 | 50 | 2025 |
| Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images CUI Yufei, Z Liu, X Liu, X Liu, C Wang, TW Kuo, CJ Xue, AB Chan International Conference on Learning Representations, 2023 | 24 | 2023 |
| TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization Z Liu, Y Xu, X Ji, AB Chan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 18 | 2023 |
| An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation Z Liu, Y Xu, Y Xu, Q Qian, H Li, R Jin, X Ji, AB Chan NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 2022 | 16 | 2022 |
| Fully Nested Neural Network for Adaptive Compression and Quantization Y Cui, Z Liu, W Yao, Q Li, AB Chan, T Kuo, CJ Xue IJCAI-PRICAI 2020, 2020 | 16 | 2020 |
| Clustering hidden Markov models with variational Bayesian hierarchical EM H Lan, Z Liu, JH Hsiao, D Yu, AB Chan IEEE Transactions on Neural Networks and Learning Systems 34 (3), 1537-1551, 2021 | 12 | 2021 |
| Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations Z Liu, Y Cui, AB Chan ICML 2021 Workshop on Adversarial Machine Learning, 2020 | 12 | 2020 |
| Retrieval-Augmented Multiple Instance Learning CUI Yufei, Z Liu, C Yixin, Y Lu, X Yu, X Liu, TW Kuo, MRD Rodrigues, ... Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023 | 7* | 2023 |
| Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization Z Liu, AB Chan BMVC 2022, 2022 | 7 | 2022 |
| Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression Y Cui, Z Liu, Q Li, Y Mao, AB Chan, CJ Xue Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 7 | 2021 |
| Variational nested dropout Y Cui, Y Mao, Z Liu, Q Li, AB Chan, X Liu, TW Kuo, CJ Xue IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8), 10519 …, 2023 | 6 | 2023 |
| PRIMAL-GMM: PaRametrIc MAnifold Learning of Gaussian Mixture Models Z Liu, L Yu, JH Hsiao, AB Chan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 6 | 2021 |
| Get confused cautiously: Textual sequence memorization erasure with selective entropy maximization Z Zhang, Z Liu, I Patras International Conference on Computational Linguistics (COLING), 2025 | 5 | 2025 |
| The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks Z Liu, Y Cui, Y Yan, X Ji, X Liu, AB Chan International Conference on Machine Learning, 2024 | 3 | 2024 |
| Borrowing treasures from neighbors: In-context learning for multimodal learning with missing modalities and data scarcity Z Zhi, Z Liu, M Elbadawi, A Daneshmend, M Orlu, A Basit, ... arXiv preprint arXiv:2403.09428, 2024 | 2 | 2024 |
| Parametric Manifold Learning of Gaussian Mixture Models Z Liu, L Yu, JH Hsiao, AB Chan IJCAI-2019, Proceedings of the Twenty-Eighth International Joint Conference …, 2019 | 2 | 2019 |
| SEBRA: Debiasing through Self-Guided Bias Ranking A Kappiyath, A Chaudhuri, AK JAISWAL, Z Liu, Y Li, X Zhu, L Yin The Thirteenth International Conference on Learning Representations, 2025 | 1 | 2025 |
Antoni B. ChanProfessor of Computer Science, City University of Hong Kongبريد إلكتروني تم التحقق منه على cityu.edu.hk
