Ziquan Liu

Venues

Frequent coauthors

Papers

1. Confidence Should Be Calibrated More Than One Turn Deep
   ACL 2026 ·

   Zhaohan Zhang

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2. Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds
   AAAI 2026 ·

   Xuesong Jia

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3. GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models
   ACL 2026 ·

   Zhaohan Zhang

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4. AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data
   CVPR 2025 ·

   Zengqun Zhao

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5. ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction
   ICCV 2025 ·

   Danhui Chen

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6. PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks
   AAAI 2025 ·

   Chen Feng

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7. Query-based Knowledge Transfer for Heterogeneous Learning Environments
   ICLR 2025 ·

   Norah Alballa

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8. RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning
   IROS 2025 ·

   Jiacheng Zuo

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9. SEBRA : Debiasing through Self-Guided Bias Ranking
   ICLR 2025 ·

   Adarsh Kappiyath

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10. Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking
    ICCV 2025 ·

    Qiangqiang Wu

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11. A Secure Image Watermarking Framework with Statistical Guarantees via Adversarial Attacks on Secret Key Networks
    ECCV 2024 ·

    Feiyu Chen

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12. The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks
    ICML 2024 · Ziquan Liu
13. The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results
    ECCV 2024 ·

    Matej Kristan

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