Ziquan Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 34

Top Topics

Multiple Instance

Variational Bayesian

Gaussian Mixture

Top Venues

DASC/PiCom/CBDCom/CyberSciTech

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

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 (2024)
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 (2024)
Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks. CoRR (2024)
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 (2024)
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)
Ziquan Liu, Yi Xu, Xiangyang Ji, Antoni B. Chan
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization. CVPR (2023)
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) (2023)
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) (2023)
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)
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)
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)
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 (2023)
Ziquan Liu, Yi Xu, Xiangyang Ji, Antoni B. Chan
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization. CoRR (2023)
Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks. CoRR (2023)
Ziquan Liu, Antoni B. Chan
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization. BMVC (2022)
Ziquan Liu, Antoni B. Chan
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization. CoRR (2022)
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) (2022)
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)
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 (2022)
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 (2021)
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)
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)
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 (2021)
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 (2021)
Nan Yao, Yuxi Zhao, Xi Wu, Ziquan Liu, Jianhua Qin
Bolt Defect Detection Based on CenterNet Model. DASC/PiCom/CBDCom/CyberSciTech (2021)
Yufei Cui, Ziquan Liu, Qiao Li, Antoni B. Chan, Chun Jason Xue
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression. CVPR (2021)
Jia Wan, Ziquan Liu, Antoni B. Chan
A Generalized Loss Function for Crowd Counting and Localization. CVPR (2021)
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)
Ruifan Li, Zeyuan Wang, Yifan Du, Zepeng Zhai, Yongping Xiong, Ziquan Liu
Maintenance Decision Generator for Electrical Equipment Based on Reinforcement Learning. SPML (2021)
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)
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)
Ziquan Liu, Yufei Cui, Antoni B. Chan
Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations. CoRR (2020)
Ziquan Liu, Lei Yu, Janet H. Hsiao, Antoni B. Chan
Parametric Manifold Learning of Gaussian Mixture Models. IJCAI (2019)
Fangqing Gu, Ziquan Liu, Yiu-ming Cheung, Hai-Lin Liu
Optimization of Spectrum-Energy Efficiency in Heterogeneous Communication Network. SEAL (2017)