Dr Ziquan Liu
Lecturer
School of Electronic Engineering and Computer Science
Queen Mary University of London
Queen Mary University of London
Research
Reliable Machine Learning, Uncertainty Quantification, Computer Vision
Interests
My research interest is machine learning, including trustworthy and robust machine learning, uncertainty of foundation models and interpretable machine learning. The main goal of my research is to quantify and mitigate the risk of machine learning systems so that the deployment of machine learning benefits each individual in our society.Publications
Publications of specific relevance to the Centre for Multimodal AI2025
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning
Biased Models with Contextual Synthetic DataZhao Z Liu Z Cao Y Gong S Patras I
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Nashville, US 11 Jun 2025 - 16 Jun 2025.
07-03-2025
Wasserstein Modality Alignment Makes Your Multimodal Transformer More RobustZhi Z Sun Y Wu Q Liu Z Rodrigues M
Transactions on Machine Learning Research
23-01-2025
Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy MaximizationProceedings International Conference on Computational Linguistics Coling., 10924-10939.
01-01-2025
QUERY-BASED KNOWLEDGE TRANSFER FOR HETEROGENEOUS LEARNING ENVIRONMENTS13th International Conference on Learning Representations Iclr 2025., 95820-95851.
01-01-2025
2023
Variational Nested DropoutCui Y Mao Y Liu Z Li Q Chan AB Liu X Kuo T-W Xue CJ
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers (IEEE) vol. 45 (8), 10519-10534.
30-06-2023
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and GeneralizationLiu Z Xu Y Ji X Chan AB
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). vol. 00, 16436-16446.
24-06-2023
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking TasksWu Q Yang T Liu Z Wu B Shan Y Chan AB
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). vol. 00, 14561-14571.
24-06-2023
Clustering Hidden Markov Models With Variational Bayesian Hierarchical EMLan H Liu Z Hsiao JH Yu D Chan AB
IEEE Transactions on Neural Networks and Learning Systems, Institute of Electrical and Electronics Engineers (IEEE) vol. 34 (3), 1537-1551.
28-02-2023
Retrieval-Augmented Multiple Instance LearningCui Y Liu Z Chen Y Lu Y Yu X Liu X Kuo TW Rodrigues MRD et al.
Advances in Neural Information Processing Systems. vol. 36
01-01-2023
BAYES-MIL: A NEW PROBABILISTIC PERSPECTIVE ON ATTENTION-BASED MULTIPLE INSTANCE LEARNING FOR WHOLE SLIDE IMAGESCui Y Liu Z Liu X Liu X Wang C Kuo TW Xue CJ Chan AB
11th International Conference on Learning Representations Iclr 2023.
01-01-2023
2022
PRIMAL-GMM: PaRametrIc MAnifold Learning of Gaussian Mixture ModelsLiu Z Yu L Hsiao JH Chan AB
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers (IEEE) vol. 44 (6), 3197-3211.
05-05-2022
Improved Fine-Tuning by Better Leveraging Pre-Training DataLiu Z Xu Y Xu Y Qian Q Li H Ji X Chan AB Jin R
Advances in Neural Information Processing Systems. vol. 35
01-01-2022
Boosting Adversarial Robustness From The Perspective of Effective Margin RegularizationLiu Z Chan AB
Bmvc 2022 33rd British Machine Vision Conference Proceedings.
01-01-2022
2021
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive CompressionCui Y Liu Z Li Q Chan AB Xue CJ
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). vol. 00, 2392-2401.
25-06-2021
A Generalized Loss Function for Crowd Counting and LocalizationWan J Liu Z Chan AB
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). vol. 00, 1974-1983.
25-06-2021
2020
Fully nested neural network for adaptive compression and quantizationCui Y Liu Z Yao W Li Q Chan AB Kuo TW Xue CJ
Ijcai International Joint Conference on Artificial Intelligence. vol. 2021-January, 2080-2087.
01-01-2020
2019
Parametric Manifold Learning of Gaussian Mixture ModelsLiu Z Yu L Hsiao JH Chan AB
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence., 3073-3079.
01-08-2019
Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy MaximizationInternational Conference on Computational Linguistics.
Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural DimensionsMasoud R Liu Z Ferianc M Treleaven P Rodrigues M
International Conference on Computational Linguistics.
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial AttacksFeng C Liu Z Zhi Z Bogunovic I Gerner-Beuerle C Rodrigues M
Annual AAAI Conference on Artificial Intelligence.
SEBRA: Debiasing through Self-Guided Bias RankingKappiyath A Chaudhuri A Jaiswal AK Liu Z Li Y Zhu X Yin L
International Conference on Learning Representations.
ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal PredictionInternational Conference on Computer Vision.
Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object TrackingInternational Conference on Computer Vision.
The Pitfalls and Promise of Conformal Inference Under Adversarial AttacksLiu Z Cui Y Yan Y Xu Y Ji X Liu X Chan A
International Conference on Machine Learning Vienna, Austria 21 Jul 2024 - 27 Jul 2024.
A Secure Image Watermarking Framework with Statistical Guarantees via Adversarial Attacks on Secret Key NetworksChen F Lin W Liu Z Chan A
European Conference on Computer Vision Milano, Italy 29 Sep 2024 - 4 Oct 2024.
Grants
Grants of specific relevance to the Centre for Multimodal AIUncertainty Aware Data Attribution Of Vision-Language ModelsChangjae Oh, Shaogang Gong and Ziquan Liu
£326,000 Huawei Technologies Germany
15-10-2025 - 14-10-2027
Research Group
PhD Students
- Om Lbaneen Audi
Vision - Chenglin Cui
Vision-Language Models For Robot Learning and Manipulation - Tatiana Gaintseva
Semantic Control of Denoising Diffusion Probabilistic Models - Ruowen Qu
Vision - Yaqi Sun
Minds - Yazhe Wan
Vision - Jinming Zhang
Cog Sci
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