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ORCIDZiquan Liu
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2020 – today
- 2025
[c21]Reem I. Masoud, Ziquan Liu, Martin Ferianc, Philip C. Treleaven, Miguel Rodrigues:
Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions. COLING 2025: 8474-8503- [c20]Zhaohan Zhang, Ziquan Liu, Ioannis Patras:
Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization. COLING 2025: 10924-10939 - 2024
- [j5]Yanxiang Niu, Xin Chen, Yuansen Chen, Zixuan Yao, Xuemei Chen, Ziquan Liu, Xiangyan Meng, Yanqing Liu, Zongya Zhao, Haojun Fan:
A gender recognition method based on EEG microstates. Comput. Biol. Medicine 173: 108366 (2024) - [c19]Feiyu Chen
, Wei Lin, Ziquan Liu, Antoni B. Chan:
A Secure Image Watermarking Framework with Statistical Guarantees via Adversarial Attacks on Secret Key Networks. ECCV (40) 2024: 428-445 - [c18]Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan:
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks. ICML 2024 - [i13]Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues:
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks. CoRR abs/2402.02629 (2024) - [i12]Zhuo Zhi, Ziquan Liu, Moe Elbadawi, Adam Daneshmend, Mine Orlu, Abdul Basit, Andreas Demosthenous, Miguel Rodrigues:
Borrowing Treasures from Neighbors: In-Context Learning for Multimodal Learning with Missing Modalities and Data Scarcity. CoRR abs/2403.09428 (2024) - [i11]Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan:
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks. CoRR abs/2405.08886 (2024) - [i10]Zhaohan Zhang, Ziquan Liu, Ioannis Patras:
Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization. CoRR abs/2408.04983 (2024) - 2023
- [j4]Shenwen Chen, Yisen Wang, Ziquan Liu, Wenbo Du, Lei Zheng, Runran Liu:
Analysing educational scientific collaboration through multilayer networks: patterns, impact and network generation model. J. Complex Networks 11(5) (2023) - [j3]Yufei Cui, Yu Mao, Ziquan Liu, Qiao Li, Antoni B. Chan, Xue (Steve) Liu, Tei-Wei Kuo, Chun Jason Xue:
Variational Nested Dropout. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10519-10534 (2023) - [j2]Hui Lan, Ziquan Liu, Janet H. Hsiao, Dan Yu, Antoni B. Chan:
Clustering Hidden Markov Models With Variational Bayesian Hierarchical EM. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1537-1551 (2023) - [c17]Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan:
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks. CVPR 2023: 14561-14571 - [c16]Ziquan Liu, Yi Xu, Xiangyang Ji, Antoni B. Chan:
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization. CVPR 2023: 16436-16446 - [c15]Yufei Cui, Ziquan Liu, Xiangyu Liu, Xue Liu, Cong Wang, Tei-Wei Kuo, Chun Jason Xue, Antoni B. Chan:
Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images. ICLR 2023 - [c14]Yufei Cui, Ziquan Liu, Yixin Chen, Yuchen Lu, Xinyue Yu, Xue (Steve) Liu, Tei-Wei Kuo, Miguel Rodrigues, Chun Jason Xue, Antoni B. Chan:
Retrieval-Augmented Multiple Instance Learning. NeurIPS 2023 - [i9]Ziquan Liu, Yi Xu, Xiangyang Ji, Antoni B. Chan:
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization. CoRR abs/2303.11135 (2023) - [i8]Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan:
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks. CoRR abs/2304.00571 (2023) - [i7]Reem I. Masoud, Ziquan Liu, Martin Ferianc, Philip C. Treleaven, Miguel Rodrigues:
Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions. CoRR abs/2309.12342 (2023) - 2022
- [j1]Ziquan Liu, Lei Yu, Janet H. Hsiao, Antoni B. Chan:
PRIMAL-GMM: PaRametrIc MAnifold Learning of Gaussian Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3197-3211 (2022) - [c13]Ziquan Liu, Antoni B. Chan:
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization. BMVC 2022: 367 - [c12]Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Xiangyang Ji, Antoni B. Chan, Rong Jin:
Improved Fine-Tuning by Better Leveraging Pre-Training Data. NeurIPS 2022 - [i6]Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Xiangyang Ji, Antoni B. Chan:
An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation. CoRR abs/2205.12753 (2022) - [i5]Ziquan Liu, Antoni B. Chan:
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization. CoRR abs/2210.05118 (2022) - 2021
- [c11]Jia Wan, Ziquan Liu, Antoni B. Chan:
A Generalized Loss Function for Crowd Counting and Localization. CVPR 2021: 1974-1983 - [c10]Yufei Cui, Ziquan Liu, Qiao Li, Antoni B. Chan, Chun Jason Xue:
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression. CVPR 2021: 2392-2401 - [c9]Nan Yao, Yuxi Zhao, Xi Wu, Ziquan Liu, Jianhua Qin:
Bolt Defect Detection Based on CenterNet Model. DASC/PiCom/CBDCom/CyberSciTech 2021: 731-737 - [c8]Nan Yao, Ziquan Liu, Zhen Wang, Yongling Lu, Hai Xue:
Detection of Transmission Line Corridors Risk Intrusion based on B-CNN. DASC/PiCom/CBDCom/CyberSciTech 2021: 738-744 - [c7]Ziquan Liu, Nan Yao, Xi Wu, Jinggang Yang, Hai Xue:
Feature Pyramid Hierarchy based DeltaNet Network for Insulator Defect Detection. DASC/PiCom/CBDCom/CyberSciTech 2021: 745-750 - [c6]Nan Yao, Ziquan Liu, Zhen Wang, Yongling Lu, Jianhua Qin:
A Deep Image Denoising Method at Transmit Electricity Surveillance Environment. HPCC/DSS/SmartCity/DependSys 2021: 1676-1684 - [c5]Zhen Wang, Nan Yao, Ziquan Liu, Xueqiong Zhu, Hai Xue:
Target Detection of Engineering Vehicles Based on Co-learning Labels. HPCC/DSS/SmartCity/DependSys 2021: 1693-1698 - [c4]Ruifan Li, Zeyuan Wang, Yifan Du, Zepeng Zhai, Yongping Xiong, Ziquan Liu:
Maintenance Decision Generator for Electrical Equipment Based on Reinforcement Learning. SPML 2021: 160-165 - [d1]Hui Lan, Ziquan Liu, Janet H. Hsiao, Dan Yu, Antoni B. Chan:
Clustering Hidden Markov Models with Variational Bayesian Hierarchical EM. Zenodo, 2021
- [i4]Yufei Cui, Ziquan Liu, Qiao Li, Yu Mao, Antoni B. Chan, Chun Jason Xue:
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression. CoRR abs/2101.11353 (2021) - [i3]Ziquan Liu, Yufei Cui, Jia Wan, Yu Mao, Antoni B. Chan:
The Implicit Biases of Stochastic Gradient Descent on Deep Neural Networks with Batch Normalization. CoRR abs/2102.03497 (2021) - [i2]Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Antoni B. Chan, Rong Jin:
Improved Fine-tuning by Leveraging Pre-training Data: Theory and Practice. CoRR abs/2111.12292 (2021) - 2020
- [c3]Yufei Cui, Ziquan Liu, Wuguannan Yao, Qiao Li, Antoni B. Chan, Tei-Wei Kuo, Chun Jason Xue:
Fully Nested Neural Network for Adaptive Compression and Quantization. IJCAI 2020: 2080-2087 - [i1]Ziquan Liu, Yufei Cui, Antoni B. Chan:
Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations. CoRR abs/2008.02965 (2020)
2010 – 2019
- 2019
- [c2]Ziquan Liu, Lei Yu, Janet H. Hsiao, Antoni B. Chan:
Parametric Manifold Learning of Gaussian Mixture Models. IJCAI 2019: 3073-3079 - 2017
- [c1]Fangqing Gu, Ziquan Liu, Yiu-ming Cheung, Hai-Lin Liu:
Optimization of Spectrum-Energy Efficiency in Heterogeneous Communication Network. SEAL 2017: 821-832
Coauthor Index
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