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Xinmei Tian

University of Science and Technology of China, Department of Electronic Engineering and Information Science, Hefei, China

24 papers at tracked venues · 22 at CORE A* · active 2024–2026

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Venues

ICLR ×6ICML ×4NeurIPS ×4ACL ×3AAAI ×2CVPR ×2ACM MM ×1EMNLP ×1UAI ×1

Frequent coauthors

Fangming Cui
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Wei Li
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Shi Fu
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Chenghao Sun
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Yonggang Zhang
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Jun Nie
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Wei Zhang
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Rui Dai
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Qianshu Cai
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Yuzhu Chen
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Zhenheng Tang
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Wei Chen
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Papers

  1. Bridging the Language Gap: Uncovering and Aligning Shared Circuits for Multi-Hop Reasoning in Multilingual LLMs
    AAAI 2026 ·
    Chenghao Sun
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  2. Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic Compositionality
    ACL 2026 ·
    Wei Li
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  3. A Similarity Paradigm Through Textual Regularization Without Forgetting
    AAAI 2025 ·
    Fangming Cui
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  4. A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops
    ICLR 2025 ·
    Shi Fu
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  5. An Effective Levelling Paradigm for Unlabeled Scenarios
    NeurIPS 2025 ·
    Fangming Cui
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  6. Detecting Generated Images by Fitting Natural Image Distributions
    NeurIPS 2025 ·
    Yonggang Zhang
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  7. Enhancing Target-unspecific Tasks through a Features Matrix
    ICML 2025 ·
    Fangming Cui
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  8. Epistemic Uncertainty for Generated Image Detection
    NeurIPS 2025 ·
    Jun Nie
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  9. Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings
    ACL 2025 ·
    Chenghao Sun
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  10. Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs
    ICLR 2025 ·
    Rui Dai
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  11. Towards Generalizable Detector for Generated Image
    NeurIPS 2025 ·
    Qianshu Cai
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  12. Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models
    ACL 2025 ·
    Wei Li
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  13. Adaptive Time-Stepping Schedules for Diffusion Models
    UAI 2024 ·
    Yuzhu Chen
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  14. Advancing Prompt Learning through an External Layer
    ACM MM 2024 ·
    Fangming Cui
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  15. Convergence of Bayesian Bilevel Optimization
    ICLR 2024 ·
    Shi Fu
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  16. Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning
    CVPR 2024 ·
    Wei Zhang
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  17. FedImpro: Measuring and Improving Client Update in Federated Learning
    ICLR 2024 ·
    Zhenheng Tang
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  18. From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning
    ICML 2024 ·
    Wei Chen
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  19. Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding
    EMNLP 2024 ·
    Wei Li
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  20. Interpreting and Improving Large Language Models in Arithmetic Calculation
    ICML 2024 ·
    Wei Zhang
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  21. Out-of-Distribution Detection with Negative Prompts
    ICLR 2024 ·
    Jun Nie
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  22. Robust Training of Federated Models with Extremely Label Deficiency
    ICLR 2024 ·
    Yonggang Zhang
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  23. Sheared Backpropagation for Fine-Tuning Foundation Models
    CVPR 2024 ·
    Zhiyuan Yu
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  24. Towards Theoretical Understandings of Self-Consuming Generative Models
    ICML 2024 ·
    Shi Fu
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