Ziquan Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
13
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds. | Xuesong Jia, Yuanjie Shi, Ziquan Liu, Yi Xu, Yan Yan |
| 2026 | ACL | Confidence Should Be Calibrated More Than One Turn Deep. | Zhaohan Zhang, Chengzhengxu Li, Xiaoming Liu, Chao Shen, Ziquan Liu, Ioannis Patras |
| 2026 | ACL | GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models. | Zhaohan Zhang, Ziquan Liu, Ioannis Patras |
| 2025 | AAAI | PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks. | Chen Feng, Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues |
| 2025 | COLING | Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions. | Reem I. Masoud, Ziquan Liu, Martin Ferianc, Philip C. Treleaven, Miguel Rodrigues |
| 2025 | COLING | Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization. | Zhaohan Zhang, Ziquan Liu, Ioannis Patras |
| 2025 | CVPR | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICLR | Query-based Knowledge Transfer for Heterogeneous Learning Environments. | Norah Alballa, Wenxuan Zhang, Ziquan Liu, Ahmed M. Abdelmoniem, Mohamed Elhoseiny, Marco Canini |
| 2025 | ICLR | SEBRA : Debiasing through Self-Guided Bias Ranking. | Adarsh Kappiyath, Abhra Chaudhuri, Ajay Kumar Jaiswal, Ziquan Liu, Yunpeng Li, Xiatian Zhu, Lu Yin |
| 2025 | IROS | RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning. | Jiacheng Zuo, Haibo Hu, Zikang Zhou, Yufei Cui, Ziquan Liu, Jianping Wang, Nan Guan, Jin Wang, Chun Jason Xue |
| 2024 | ECCV | A Secure Image Watermarking Framework with Statistical Guarantees via Adversarial Attacks on Secret Key Networks. | Feiyu Chen, Wei Lin, Ziquan Liu, Antoni B. Chan |
| 2024 | ECCV | The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results. | Matej Kristan, Jir Matas, Pavel Tokmakov, Michael Felsberg, Luka Cehovin Zajc, Alan Lukezic, Khanh-Tung Tran, Xuan-Son Vu, Johanna Bjrklund, Hyung Jin Chang, Gustavo Fernndez, 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 Sai S. 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 |
| 2024 | ICML | 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 |
| 2023 | CVPR | TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization. | Ziquan Liu, Yi Xu, Xiangyang Ji, Antoni B. Chan |
| 2023 | CVPR | DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks. | Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan |
| 2023 | ICLR | 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 |
| 2022 | BMVC | Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization. | Ziquan Liu, Antoni B. Chan |
| 2021 | CVPR | Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression. | Yufei Cui, Ziquan Liu, Qiao Li, Antoni B. Chan, Chun Jason Xue |
| 2021 | CVPR | A Generalized Loss Function for Crowd Counting and Localization. | Jia Wan, Ziquan Liu, Antoni B. Chan |
| 2021 | DASC | Feature Pyramid Hierarchy based DeltaNet Network for Insulator Defect Detection. | Ziquan Liu, Nan Yao, Xi Wu, Jinggang Yang, Hai Xue |
| 2021 | DASC | Detection of Transmission Line Corridors Risk Intrusion based on B-CNN. | Nan Yao, Ziquan Liu, Zhen Wang, Yongling Lu, Hai Xue |
| 2021 | DASC | Bolt Defect Detection Based on CenterNet Model. | Nan Yao, Yuxi Zhao, Xi Wu, Ziquan Liu, Jianhua Qin |
| 2021 | HPCC | Target Detection of Engineering Vehicles Based on Co-learning Labels. | Zhen Wang, Nan Yao, Ziquan Liu, Xueqiong Zhu, Hai Xue |
| 2021 | HPCC | A Deep Image Denoising Method at Transmit Electricity Surveillance Environment. | Nan Yao, Ziquan Liu, Zhen Wang, Yongling Lu, Jianhua Qin |
| 2020 | IJCAI | 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 |
| 2019 | IJCAI | Parametric Manifold Learning of Gaussian Mixture Models. | Ziquan Liu, Lei Yu, Janet H. Hsiao, Antoni B. Chan |