Liu, Ziquan

25 publications

CVPR 2025 AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data Zengqun Zhao, Ziquan Liu, Yu Cao, Shaogang Gong, Ioannis Patras

ICCV 2025 ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction Danhui Chen, Ziquan Liu, Chuxi Yang, Dan Wang, Yan Yan, Yi Xu, Xiangyang Ji

AAAI 2025 PROSAC: Provably Safe Certification for Machine Learning Models Under Adversarial Attacks Chen Feng, Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues

ICLR 2025 Query-Based Knowledge Transfer for Heterogeneous Learning Environments Norah Alballa, Wenxuan Zhang, Ziquan Liu, Ahmed M. Abdelmoniem, Mohamed Elhoseiny, Marco Canini

ICLR 2025 SEBRA : Debiasing Through Self-Guided Bias Ranking Adarsh Kappiyath, Abhra Chaudhuri, Ajay Kumar Jaiswal, Ziquan Liu, Yunpeng Li, Xiatian Zhu, Lu Yin

TMLR 2025 TFAR: A Training-Free Framework for Autonomous Reliable Reasoning in Visual Question Answering Zhuo Zhi, Chen Feng, Adam Daneshmend, Mine Orlu, Andreas Demosthenous, Lu Yin, Da Li, Ziquan Liu, Miguel R. D. Rodrigues

ICCV 2025 Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking Qiangqiang Wu, Yi Yu, Chenqi Kong, Ziquan Liu, Jia Wan, Haoliang Li, Alex C. Kot, Antoni B. Chan

TMLR 2025 Wasserstein Modality Alignment Makes Your Multimodal Transformer More Robust Zhuo Zhi, Yuxuan Sun, Qiangqiang Wu, Ziquan Liu, Miguel R. D. Rodrigues

ECCV 2024 A Secure Image Watermarking Framework with Statistical Guarantees via Adversarial Attacks on Secret Key Networks Feiyu Chen, Wei Lin, Ziquan Liu, Antoni Chan

ICMLW 2024 Borrowing Treasures from Neighbors: In-Context Learning for Multimodal Learning with Missing Modalities and Data Scarcity Zhuo Zhi, Ziquan Liu, Moe Elbadawi, Adam Daneshmend, Mine Orlu, Abdul W Basit, Andreas Demosthenous, Miguel R. D. Rodrigues

ICML 2024 The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan

ECCVW 2024 The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results Matej Kristan, Jirí Matas, Pavel Tokmakov, Michael Felsberg, Luka Cehovin Zajc, Alan Lukezic, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Hyung Jin Chang, Gustavo Fernández, Minasadat Attari, Antoni B. Chan, Liang Chen, Xin Chen, Jaired Collins, Yutao Cui, Ganesh Sai Manas Devarapu, Yinglong Du, Heng Fan, Wan-Cyuan Fan, Zhenhua Feng, Mingqi Gao, Rama Krishna Gorthi, Raghav Goyal, Jungong Han, Bijaya Kumar Hatuwal, Zhenyu He, Xiantao Hu, Xingsen Huang, Yuqing Huang, Dongmei Jiang, Ben Kang, Kannappan Palaniappan, Josef Kittler, Simiao Lai, Ning Li, Xiaohai Li, Xin Li, Cheng Liang, Liting Lin, Haibin Ling, Ting Liu, Ziquan Liu, Huchuan Lu, Yifei Luo, Deshui Miao, Juan David Mogollon, Ziqi Pang, Jaswanth Reddy Pochimireddy, Viktor Prutyanov, Gani Rahmon, Aleksandr Romanov, Liangtao Shi, Mennatullah Siam, Leonid Sigal, Arun Kumar Sivapuram, Roman A. Solovyev, Elham Soltani Kazemi, Imad Eddine Toubal, Jia Wan, Limin Wang, Xinying Wang, Yaowei Wang, Yu-Xiong Wang, Zhiquan Wang, Gangshan Wu, Qiangqiang Wu, Xiaojun Wu, Zihao Xia, Jinxia Xie, Chenlong Xu, Tianyang Xu, Yong Xu, Chaocan Xue, Chao Yang, Jinyu Yang, Ming-Hsuan Yang, Chenyang Yu, Ke Yu, Chunhui Zhang, Jiaming Zhang, Zhipeng Zhang, Feng Zheng, Yaozong Zheng, Bineng Zhong, Jinglin Zhou, Junbao Zhou, Yong Zhou, Zikun Zhou, Guibo Zhu, Jiawen Zhu, Xuefeng Zhu, Vladimir V. Zunin

ICMLW 2024 Wasserstein Modality Alignment Makes Your Multimodal Transformer More Robust Zhuo Zhi, Ziquan Liu, Qiangqiang Wu, Miguel R. D. Rodrigues

ICLR 2023 Bayes-MIL: A New Probabilistic Perspective on Attention-Based Multiple Instance Learning for Whole Slide Images Yufei Cui, Ziquan Liu, Xiangyu Liu, Xue Liu, Cong Wang, Tei-Wei Kuo, Chun Jason Xue, Antoni B. Chan

CVPR 2023 DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan

NeurIPSW 2023 PROSAC: Provably Safe Certification for Machine Learning Models Under Adversarial Attacks Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues

NeurIPS 2023 Retrieval-Augmented Multiple Instance Learning Yufei Cui, Ziquan Liu, Yixin Chen, Yuchen Lu, Xinyue Yu, Xue Liu, Tei-Wei Kuo, Miguel Rodrigues, Chun Jason Xue, Antoni B. Chan

CVPR 2023 TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization Ziquan Liu, Yi Xu, Xiangyang Ji, Antoni B. Chan

NeurIPSW 2022 An Empirical Study on Distribution Shift Robustness from the Perspective of Pre-Training and Data Augmentation Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Xiangyang Ji, Antoni B. Chan

NeurIPS 2022 Improved Fine-Tuning by Better Leveraging Pre-Training Data Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Xiangyang Ji, Antoni B. Chan, Rong Jin

CVPR 2021 A Generalized Loss Function for Crowd Counting and Localization Jia Wan, Ziquan Liu, Antoni B. Chan

CVPR 2021 Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression Yufei Cui, Ziquan Liu, Qiao Li, Antoni B. Chan, Chun Jason Xue

ICMLW 2021 Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations Ziquan Liu, Yufei Cui, Antoni B. Chan

IJCAI 2020 Fully Nested Neural Network for Adaptive Compression and Quantization Yufei Cui, Ziquan Liu, Wuguannan Yao, Qiao Li, Antoni B. Chan, Tei-Wei Kuo, Chun Jason Xue

IJCAI 2019 Parametric Manifold Learning of Gaussian Mixture Models Ziquan Liu, Lei Yu, Janet H. Hsiao, Antoni B. Chan