Publications: Dr Ziquan Liu
Feng C, Liu Z, Zhi Z, Bogunovic I, Gerner-Beuerle C, Rodrigues M
.
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks
.
Proceedings of the AAAI Conference on Artificial Intelligence
.
vol.
39
,
2933
-
2941
.
Zhao Z, Liu Z, Cao Y, Gong S, Patras I
(
2025
)
.
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning
Biased Models with Contextual Synthetic Data
.
Conference:
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
(
Nashville, US
)
from:
11/06/2025
to:
16/06/2025
,
Zhi Z, Sun Y, Wu Q, Liu Z, Rodrigues M
(
2025
)
.
Wasserstein Modality Alignment Makes Your Multimodal Transformer More Robust
.
Transactions on Machine Learning Research
Masoud RI, Liu Z, Ferianc M, Treleaven P, Rodrigues M
(
2025
)
.
Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions
.
Proceedings - International Conference on Computational Linguistics, COLING
.
vol.
Part F206484-1
,
8474
-
8503
.
Zhang Z, Liu Z, Patras I
(
2025
)
.
Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization
.
Proceedings - International Conference on Computational Linguistics, COLING
.
vol.
Part F206484-1
,
10924
-
10939
.
Chen F, Lin W, Liu Z, Chan AB
(
2025
)
.
A Secure Image Watermarking Framework with Statistical Guarantees via Adversarial Attacks on Secret Key Networks
.
Lecture Notes in Computer Science
.
vol.
15098
,
428
-
445
.
Zhang Z, Liu Z, Patras I
(
2024
)
.
Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization
.
Liu Z, Cui Y, Yan Y, Xu Y, Ji X, Liu X, Chan AB
(
2024
)
.
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks
.
Proceedings of Machine Learning Research
.
vol.
235
,
30908
-
30928
.
Cui Y, Mao Y, Liu Z, Li Q, Chan AB, Liu X, Kuo T-W, Xue CJ
(
2023
)
.
Variational Nested Dropout
.
IEEE Transactions on Pattern Analysis and Machine Intelligence
vol.
45
,
(
8
)
10519
-
10534
.
Wu Q, Yang T, Liu Z, Wu B, Shan Y, Chan AB
(
2023
)
.
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks
.
Conference:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
vol.
00
,
14561
-
14571
.
Liu Z, Xu Y, Ji X, Chan AB
(
2023
)
.
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization
.
Conference:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
vol.
00
,
16436
-
16446
.
Lan H, Liu Z, Hsiao JH, Yu D, Chan AB
(
2023
)
.
Clustering Hidden Markov Models With Variational Bayesian Hierarchical EM
.
IEEE Transactions on Neural Networks and Learning Systems
vol.
34
,
(
3
)
1537
-
1551
.
Cui Y, Liu Z, Liu X, Liu X, Wang C, Kuo TW, Xue CJ, Chan AB
(
2023
)
.
BAYES-MIL: A NEW PROBABILISTIC PERSPECTIVE ON ATTENTION-BASED MULTIPLE INSTANCE LEARNING FOR WHOLE SLIDE IMAGES
.
11th International Conference on Learning Representations, ICLR 2023
.
Cui Y, Liu Z, Chen Y, Lu Y, Yu X, Liu X, Kuo TW, Rodrigues MRD et al.
(
2023
)
.
Retrieval-Augmented Multiple Instance Learning
.
Advances in Neural Information Processing Systems
.
vol.
36
,
Liu Z, Yu L, Hsiao JH, Chan AB
(
2022
)
.
PRIMAL-GMM: PaRametrIc MAnifold Learning of Gaussian Mixture Models
.
IEEE Transactions on Pattern Analysis and Machine Intelligence
vol.
44
,
(
6
)
3197
-
3211
.
Liu Z, Chan AB
(
2022
)
.
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization
.
BMVC 2022 - 33rd British Machine Vision Conference Proceedings
.
Liu Z, Xu Y, Xu Y, Qian Q, Li H, Ji X, Chan AB, Jin R
(
2022
)
.
Improved Fine-Tuning by Better Leveraging Pre-Training Data
.
Advances in Neural Information Processing Systems
.
vol.
35
,
Wan J, Liu Z, Chan AB
(
2021
)
.
A Generalized Loss Function for Crowd Counting and Localization
.
Conference:
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
vol.
00
,
1974
-
1983
.
Cui Y, Liu Z, Li Q, Chan AB, Xue CJ
(
2021
)
.
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression
.
Conference:
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
vol.
00
,
2392
-
2401
.
Cui Y, Liu Z, Yao W, Li Q, Chan AB, Kuo TW, Xue CJ
(
2020
)
.
Fully nested neural network for adaptive compression and quantization
.
IJCAI International Joint Conference on Artificial Intelligence
.
vol.
2021-January
,
2080
-
2087
.
Liu Z, Yu L, Hsiao JH, Chan AB
(
2019
)
.
Parametric Manifold Learning of Gaussian Mixture Models
.
Conference:
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence3073
-
3079
.