Zhiqiang Shen

Venues

Frequent coauthors

Papers

1. Do Not Merge My Model! Safeguarding Open-Source LLMs Against Unauthorized Model Merging
   AAAI 2026 ·

   Qinfeng Li

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2. LLMSurgeon: Diagnosing Data Mixture of Large Language Models
   ACL 2026 ·

   Yaxin Luo

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3. On the Cultural Anachronism and Temporal Reasoning in Vision Language Models
   ACL 2026 ·

   Mukul Ranjan

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4. Prompting Test-Time Scaling Is A Strong LLM Reasoning Data Augmentation
   ACL 2026 ·

   Sondos Mahmoud Bsharat

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5. RAGFort: Dual-Path Defense Against Proprietary Knowledge Base Extraction in Retrieval-Augmented Generation
   AAAI 2026 ·

   Qinfeng Li

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6. A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1
   NeurIPS 2025 ·

   Zhaoyi Li

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7. ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation
   MICCAI 2025 ·

   Xi Chen

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8. CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment
   NeurIPS 2025 ·

   Qinfeng Li

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9. DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation
   CVPR 2025 · Zhiqiang Shen
10. DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation
    ACL 2025 ·

    Jennifer Chen

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11. FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation
    NeurIPS 2025 ·

    Jiacheng Cui

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12. Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
    NeurIPS 2025 ·

    Cong Zeng

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13. KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding
    ACL 2025 ·

    Ahmed Heakl

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14. Learning Graph Invariance by Harnessing Spuriosity
    ICLR 2025 ·

    Tianjun Yao

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15. MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics
    ICCV 2025 ·

    Bowei Guo

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16. One Last Attention for Your Vision-Language Model
    ICCV 2025 ·

    Liang Chen

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17. Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents
    NeurIPS 2025 ·

    Yaxin Luo

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18. Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
    NeurIPS 2025 ·

    Tianjun Yao

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19. Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting
    SIGKDD 2025 ·

    Sijia Peng

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20. γ-MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models
    ICLR 2025 ·

    Yaxin Luo

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21. ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
    ICML 2024 ·

    Kirill Vishniakov

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22. Cross-Cluster Shifting for Efficient and Effective 3D Object Detection in Autonomous Driving
    ICRA 2024 ·

    Zhili Chen

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23. Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization
    NeurIPS 2024 ·

    Kai Hu

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24. Elucidating the Design Space of Dataset Condensation
    NeurIPS 2024 ·

    Shitong Shao

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25. Empowering Graph Invariance Learning with Deep Spurious Infomax
    ICML 2024 ·

    Tianjun Yao

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26. Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching
    CVPR 2024 ·

    Shitong Shao

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27. Initializing Models with Larger Ones
    ICLR 2024 ·

    Zhiqiu Xu

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28. LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization
    NeurIPS 2024 ·

    Liang Chen

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29. Learning Invariant Features on Graphs by Disentangling Spurious Features
    ICDM 2024 ·

    Tianjun Yao

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30. MixMask: Revisiting Masking Strategy for Siamese ConvNets
    BMVC 2024 ·

    Kirill Vishniakov

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31. S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment
    AAAI 2024 ·

    Sheng Zhang

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32. Self-paced Sample Selection for Barely-Supervised Medical Image Segmentation
    MICCAI 2024 ·

    Junming Su

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33. TransLinkGuard: Safeguarding Transformer Models Against Model Stealing in Edge Deployment
    ACM MM 2024 ·

    Qinfeng Li

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34. Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs
    NeurIPS 2024 ·

    Sukmin Yun

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35. i-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable?
    CVPR 2024 ·

    Kevin Zhang

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