Ziquan Liu - RankMe

67 papers A* 15A 2B 2Journal 38Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive momentum weight averaging reduces initialization noise. Pattern Recognit. Jia Wan, Ziquan Liu, Junyu Gao, Xia Wu, Antoni B. Chan
2026	A*	`conf`	Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds. AAAI Xuesong Jia, Yuanjie Shi, Ziquan Liu, Yi Xu, Yan Yan
2026	J	`jnl`	GraphThinker: Reinforcing Video Reasoning with Event Graph Thinking. CoRR Zixu Cheng, Da Li, Jian Hu, Yuhang Zang, Ziquan Liu, Shaogang Gong, Wei Li
2026	J	`jnl`	LatSearch: Latent Reward-Guided Search for Faster Inference-Time Scaling in Video Diffusion. CoRR Zengqun Zhao, Ziquan Liu, Yu Cao, Shaogang Gong, Zhensong Zhang, Jifei Song, Jiankang Deng, Ioannis Patras
2026	J	`jnl`	Relax Forcing: Relaxed KV-Memory for Consistent Long Video Generation. CoRR Zengqun Zhao, Yanzuo Lu, Ziquan Liu, Jifei Song, Jiankang Deng, Ioannis Patras
2025	A*	`conf`	AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data. CVPR Zengqun Zhao, Ziquan Liu, Yu Cao, Shaogang Gong, Ioannis Patras
2025	J	`jnl`	AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data. CoRR Zengqun Zhao, Ziquan Liu, Yu Cao, Shaogang Gong, Ioannis Patras
2025	J	`jnl`	ARM: A Learnable, Plug-and-Play Module for CLIP-based Open-vocabulary Semantic Segmentation. CoRR Ziquan Liu, Zhewei Zhu, Xuyang Shi
2025	J	`jnl`	Borrowing treasures from neighbors: In-context learning for multimodal learning with missing modalities and data scarcity. Neurocomputing Zhuo Zhi, Ziquan Liu, Moe Elbadawi, Adam Daneshmend, Mine Orlu, Abdul Basit, Andreas Demosthenous, Miguel R. D. Rodrigues
2025	J	`jnl`	CASteer: Steering Diffusion Models for Controllable Generation. CoRR Tatiana Gaintseva, Chengcheng Ma, Ziquan Liu, Martin Benning, Gregory G. Slabaugh, Jiankang Deng, Ismail Elezi
2025	J	`jnl`	ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction. CoRR Danhui Chen, Ziquan Liu, Chuxi Yang, Dan Wang, Yan Yan, Yi Xu, Xiangyang Ji
2025	J	`jnl`	Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds. CoRR Xuesong Jia, Yuanjie Shi, Ziquan Liu, Yi Xu, Yan Yan
2025	B	`conf`	Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions. COLING Reem I. Masoud, Ziquan Liu, Martin Ferianc, Philip C. Treleaven, Miguel Rodrigues
2025	B	`conf`	Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization. COLING Zhaohan Zhang, Ziquan Liu, Ioannis Patras
2025	J	`jnl`	GrACE: A Generative Approach to Better Confidence Elicitation in Large Language Models. CoRR Zhaohan Zhang, Ziquan Liu, Ioannis Patras
2025	—	`conf`	Improving Lane Change Performance in CARLA Through Curvature-Adaptive B-Spline Planning. ApplePies Om Lbaneen Audi, Francesco Bellotti, Riccardo Berta, Ziquan Liu, Luca Lazzaroni, Alessandro Pilla, Hadise Rojhan, Luca Forneris
2025	A*	`conf`	PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks. AAAI Chen Feng, Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues
2025	A*	`conf`	Query-based Knowledge Transfer for Heterogeneous Learning Environments. ICLR Norah Alballa, Wenxuan Zhang, Ziquan Liu, Ahmed M. Abdelmoniem, Mohamed Elhoseiny, Marco Canini
2025	J	`jnl`	Query-based Knowledge Transfer for Heterogeneous Learning Environments. CoRR Norah Alballa, Wenxuan Zhang, Ziquan Liu, Ahmed M. Abdelmoniem, Mohamed Elhoseiny, Marco Canini
2025	A	`conf`	RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning. IROS Jiacheng Zuo, Haibo Hu, Zikang Zhou, Yufei Cui, Ziquan Liu, Jianping Wang, Nan Guan, Jin Wang, Chun Jason Xue
2025	J	`jnl`	RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning. CoRR Jiacheng Zuo, Haibo Hu, Zikang Zhou, Yufei Cui, Ziquan Liu, Jianping Wang, Nan Guan, Jin Wang, Chun Jason Xue
2025	J	`jnl`	Reinforcement Learning for Target Zone Blood Glucose Control. CoRR David H. Mguni, Jing Dong, Wanrong Yang, Ziquan Liu, Muhammad Salman Haleem, Baoxiang Wang
2025	A*	`conf`	SEBRA : Debiasing through Self-Guided Bias Ranking. ICLR Adarsh Kappiyath, Abhra Chaudhuri, Ajay Kumar Jaiswal, Ziquan Liu, Yunpeng Li, Xiatian Zhu, Lu Yin
2025	J	`jnl`	Sebra: Debiasing Through Self-Guided Bias Ranking. CoRR Adarsh Kappiyath, Abhra Chaudhuri, Ajay Jaiswal, Ziquan Liu, Yunpeng Li, Xiatian Zhu, Lu Yin
2025	J	`jnl`	Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework. CoRR Zhuo Zhi, Chen Feng, Adam Daneshmend, Mine Orlu, Andreas Demosthenous, Lu Yin, Da Li, Ziquan Liu, Miguel R. D. Rodrigues
2025	J	`jnl`	TFAR: A Training-Free Framework for Autonomous Reliable Reasoning in Visual Question Answering. Trans. Mach. Learn. Res. Zhuo Zhi, Chen Feng, Adam Daneshmend, Mine Orlu, Andreas Demosthenous, Lu Yin, Da Li, Ziquan Liu, Miguel R. D. Rodrigues
2025	J	`jnl`	Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking. CoRR Qiangqiang Wu, Yi Yu, Chenqi Kong, Ziquan Liu, Jia Wan, Haoliang Li, Alex C. Kot, Antoni B. Chan
2025	J	`jnl`	V-STaR: Benchmarking Video-LLMs on Video Spatio-Temporal Reasoning. CoRR Zixu Cheng, Jian Hu, Ziquan Liu, Chenyang Si, Wei Li, Shaogang Gong
2025	J	`jnl`	Wasserstein Modality Alignment Makes Your Multimodal Transformer More Robust. Trans. Mach. Learn. Res. Zhuo Zhi, Yuxuan Sun, Qiangqiang Wu, Ziquan Liu, Miguel R. D. Rodrigues
2024	—	`conf`	A Secure Image Watermarking Framework with Statistical Guarantees via Adversarial Attacks on Secret Key Networks. ECCV (40) Feiyu Chen, Wei Lin, Ziquan Liu, Antoni B. Chan
2024	J	`jnl`	A gender recognition method based on EEG microstates. Comput. Biol. Medicine Yanxiang Niu, Xin Chen, Yuansen Chen, Zixuan Yao, Xuemei Chen, Ziquan Liu, Xiangyan Meng, Yanqing Liu, Zongya Zhao, Haojun Fan
2024	J	`jnl`	Borrowing Treasures from Neighbors: In-Context Learning for Multimodal Learning with Missing Modalities and Data Scarcity. CoRR Zhuo Zhi, Ziquan Liu, Moe Elbadawi, Adam Daneshmend, Mine Orlu, Abdul Basit, Andreas Demosthenous, Miguel Rodrigues
2024	J	`jnl`	Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization. CoRR Zhaohan Zhang, Ziquan Liu, Ioannis Patras
2024	J	`jnl`	PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks. CoRR Chen Feng, Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues
2024	A*	`conf`	The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks. ICML Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan
2024	J	`jnl`	The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks. CoRR Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan
2024	—	`conf`	The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results. ECCV Workshops (7) 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 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
2023	J	`jnl`	Analysing educational scientific collaboration through multilayer networks: patterns, impact and network generation model. J. Complex Networks Shenwen Chen, Yisen Wang, Ziquan Liu, Wenbo Du, Lei Zheng, Runran Liu
2023	A*	`conf`	Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images. ICLR Yufei Cui, Ziquan Liu, Xiangyu Liu, Xue Liu, Cong Wang, Tei-Wei Kuo, Chun Jason Xue, Antoni B. Chan
2023	J	`jnl`	Clustering Hidden Markov Models With Variational Bayesian Hierarchical EM. IEEE Trans. Neural Networks Learn. Syst. Hui Lan, Ziquan Liu, Janet H. Hsiao, Dan Yu, Antoni B. Chan
2023	J	`jnl`	Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions. CoRR Reem I. Masoud, Ziquan Liu, Martin Ferianc, Philip C. Treleaven, Miguel Rodrigues
2023	A*	`conf`	DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks. CVPR Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan
2023	J	`jnl`	DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks. CoRR Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan
2023	A*	`conf`	Retrieval-Augmented Multiple Instance Learning. NeurIPS Yufei Cui, Ziquan Liu, Yixin Chen, Yuchen Lu, Xinyue Yu, Xue (Steve) Liu, Tei-Wei Kuo, Miguel Rodrigues, Chun Jason Xue, Antoni B. Chan
2023	A*	`conf`	TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization. CVPR Ziquan Liu, Yi Xu, Xiangyang Ji, Antoni B. Chan
2023	J	`jnl`	TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization. CoRR Ziquan Liu, Yi Xu, Xiangyang Ji, Antoni B. Chan
2023	J	`jnl`	Variational Nested Dropout. IEEE Trans. Pattern Anal. Mach. Intell. Yufei Cui, Yu Mao, Ziquan Liu, Qiao Li, Antoni B. Chan, Xue (Steve) Liu, Tei-Wei Kuo, Chun Jason Xue
2022	J	`jnl`	An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation. CoRR Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Xiangyang Ji, Antoni B. Chan
2022	A	`conf`	Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization. BMVC Ziquan Liu, Antoni B. Chan
2022	J	`jnl`	Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization. CoRR Ziquan Liu, Antoni B. Chan
2022	A*	`conf`	Improved Fine-Tuning by Better Leveraging Pre-Training Data. NeurIPS Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Xiangyang Ji, Antoni B. Chan, Rong Jin
2022	J	`jnl`	PRIMAL-GMM: PaRametrIc MAnifold Learning of Gaussian Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. Ziquan Liu, Lei Yu, Janet H. Hsiao, Antoni B. Chan
2021	—	`conf`	A Deep Image Denoising Method at Transmit Electricity Surveillance Environment. HPCC/DSS/SmartCity/DependSys Nan Yao, Ziquan Liu, Zhen Wang, Yongling Lu, Jianhua Qin
2021	A*	`conf`	A Generalized Loss Function for Crowd Counting and Localization. CVPR Jia Wan, Ziquan Liu, Antoni B. Chan
2021	A*	`conf`	Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression. CVPR Yufei Cui, Ziquan Liu, Qiao Li, Antoni B. Chan, Chun Jason Xue
2021	J	`jnl`	Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression. CoRR Yufei Cui, Ziquan Liu, Qiao Li, Yu Mao, Antoni B. Chan, Chun Jason Xue
2021	—	`conf`	Bolt Defect Detection Based on CenterNet Model. DASC/PiCom/CBDCom/CyberSciTech Nan Yao, Yuxi Zhao, Xi Wu, Ziquan Liu, Jianhua Qin
2021	—	`conf`	Detection of Transmission Line Corridors Risk Intrusion based on B-CNN. DASC/PiCom/CBDCom/CyberSciTech Nan Yao, Ziquan Liu, Zhen Wang, Yongling Lu, Hai Xue
2021	—	`conf`	Feature Pyramid Hierarchy based DeltaNet Network for Insulator Defect Detection. DASC/PiCom/CBDCom/CyberSciTech Ziquan Liu, Nan Yao, Xi Wu, Jinggang Yang, Hai Xue
2021	J	`jnl`	Improved Fine-tuning by Leveraging Pre-training Data: Theory and Practice. CoRR Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Antoni B. Chan, Rong Jin
2021	—	`conf`	Maintenance Decision Generator for Electrical Equipment Based on Reinforcement Learning. SPML Ruifan Li, Zeyuan Wang, Yifan Du, Zepeng Zhai, Yongping Xiong, Ziquan Liu
2021	—	`conf`	Target Detection of Engineering Vehicles Based on Co-learning Labels. HPCC/DSS/SmartCity/DependSys Zhen Wang, Nan Yao, Ziquan Liu, Xueqiong Zhu, Hai Xue
2021	J	`jnl`	The Implicit Biases of Stochastic Gradient Descent on Deep Neural Networks with Batch Normalization. CoRR Ziquan Liu, Yufei Cui, Jia Wan, Yu Mao, Antoni B. Chan
2020	A*	`conf`	Fully Nested Neural Network for Adaptive Compression and Quantization. IJCAI Yufei Cui, Ziquan Liu, Wuguannan Yao, Qiao Li, Antoni B. Chan, Tei-Wei Kuo, Chun Jason Xue
2020	J	`jnl`	Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations. CoRR Ziquan Liu, Yufei Cui, Antoni B. Chan
2019	A*	`conf`	Parametric Manifold Learning of Gaussian Mixture Models. IJCAI Ziquan Liu, Lei Yu, Janet H. Hsiao, Antoni B. Chan
2017	—	`conf`	Optimization of Spectrum-Energy Efficiency in Heterogeneous Communication Network. SEAL Fangqing Gu, Ziquan Liu, Yiu-ming Cheung, Hai-Lin Liu