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Liu, Ziquan

  1. Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions
    2023/08/25 by Reem I. Masoud, Masoud, Reem I., Ziquan Liu +7 · 13 citations
    Social Sciences · #Computation and Language (cs.CL) #Computational and Text Analysis Methods #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  2. V-STaR: Benchmarking Video-LLMs on Video Spatio-Temporal Reasoning
    2025/03/14 by Cheng, Zixu, Hu, Jian, Liu, Ziquan +3 · 15 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  3. Improved Fine-Tuning by Better Leveraging Pre-Training Data
    2021/11/24 by Ziquan Liu, Liu, Ziquan, Yi Xu +13 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  4. An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation
    2022/05/25 by Liu, Ziquan, Xu, Yi, Xu, Yuanhong +5 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  5. Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework
    2025/03/11 by Zhi, Zhuo, Feng, Chen, Daneshmend, Adam +6 · 6 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  6. TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization
    2023/03/20 by Ziquan Liu, Yi Xu, Liu, Ziquan +5 · 2 citations
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking
    2025/07/10 by Wu, Qiangqiang, Yu, Yi, Kong, Chenqi +5 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
  8. PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks
    2024/02/04 by Ziquan Liu, Feng, Chen, Liu, Ziquan +8 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning
  9. The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks
    2024/05/14 by Liu, Ziquan, Cui, Yufei, Yan, Yan +4 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning
    2025/01/21 by Zuo, Jiacheng, Haibo Hu, Zikang Zhou +14 · 1 citation
    Computer Science · #Topic Modeling #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
  11. Sebra: Debiasing Through Self-Guided Bias Ranking
    2025/01/30 by Adarsh Kappiyath, Kappiyath, Adarsh, Chaudhuri, Abhra +9 · 1 citation
    Computer Science · Social Sciences · #Mobile Crowdsensing and Crowdsourcing #Ethics and Social Impacts of AI #Domain Adaptation and Few-Shot Learning
  12. AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data
    2025/03/07 by Zhao, Zengqun, Liu, Ziquan, Cao, Yu +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  13. CASteer: Steering Diffusion Models for Controllable Generation
    2025/03/11 by Gaintseva, Tatiana, Oncescu, Andreea-Maria, Ma, Chengcheng +5 · 1 citation
    #FOS: Computer and information sciences #Graphics (cs.GR)