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Ziquan Liu
Ziquan Liu
在 qmul.ac.uk 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
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
1862021
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
512023
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
31*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
162020
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
152023
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
142022
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
132020
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
arXiv preprint arXiv:2309.12342, 2023
122023
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
102021
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization
Z Liu, AB Chan
BMVC 2022, 2022
82022
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
72021
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, 2023
62023
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
52023
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
42021
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
32019
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
2*2023
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks
Z Liu, Y Cui, Y Yan, Y Xu, X Ji, X Liu, AB Chan
arXiv preprint arXiv:2405.08886, 2024
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
2024
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks
Z Liu, Z Zhi, I Bogunovic, C Gerner-Beuerle, M Rodrigues
NeurIPS 2023 Workshop on Regulatable ML, 2023
2023
Weight Rescaling: Effective and Robust Regularization for Deep Neural Networks with Batch Normalization
Z Liu, Y Cui, J Wan, Y Mao, AB Chan
arXiv preprint arXiv:2102.03497, 2021
2021
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