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Ziquan Liu
Ziquan Liu
Assistant Professor, Queen Mary University of London
Verified email at qmul.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
2802021
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
2072023
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
1162025
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
862022
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
402023
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
312023
V-star: Benchmarking video-llms on video spatio-temporal reasoning
Z Cheng, J Hu, Z Liu, C Si, W Li, S Gong
arXiv preprint arXiv:2503.11495, 2025
272025
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
222022
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
182020
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
162021
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
152020
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
132024
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
9*2023
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
92021
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
92021
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, ...
Neurocomputing, 130502, 2025
82025
TFAR: a training-free framework for autonomous reliable reasoning in visual question answering
Z Zhi, C Feng, A Daneshmend, M Orlu, A Demosthenous, L Yin, D Li, ...
Transactions on Machine Learning Research, 2025
7*2025
Artificial neural network configuration and deployment
TW Kuo, AB Chan, C Xue, Y Cui, Z Liu, W Yao, Q Li
US Patent 12,093,817, 2024
72024
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
72023
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization
Z Liu, AB Chan
BMVC 2022, 2022
72022
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Articles 1–20