Yehui Tang

Venues

Frequent coauthors

Papers

1. GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection
   AAAI 2026 ·

   Zhenliang Ni

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2. Multi-Granularity Semantic Revision for Large Language Model Distillation
   ACL 2026 ·

   Xiaoyu Liu

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3. PocketLLM: Ultimate Compression of Large Language Models via Meta Networks
   AAAI 2026 ·

   Ye Tian

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4. CBQ: Cross-Block Quantization for Large Language Models
   ICLR 2025 ·

   Xin Ding

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5. DenseSSM: State Space Models with Dense Hidden Connection for Efficient Large Language Models
   NAACL 2025 ·

   Wei He

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6. EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models
   NAACL 2025 ·

   Yunsheng Ni

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7. Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts
   AAAI 2025 ·

   Miao Rang

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8. Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning
   ICML 2025 ·

   Zhenni Bi

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9. GPT4Image: Large Pre-trained Models Help Vision Models Learn Better on Perception Task
   WWW 2025 ·

   Ning Ding

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10. LLM Data Selection and Utilization via Dynamic Bi-level Optimization
    ICML 2025 ·

    Yang Yu

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11. Mixture of Lookup Experts
    ICML 2025 ·

    Shibo Jie

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12. SlimLLM: Accurate Structured Pruning for Large Language Models
    ICML 2025 ·

    Jialong Guo

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13. SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs
    ICML 2025 ·

    Shibo Jie

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14. TinySAM: Pushing the Envelope for Efficient Segment Anything Model
    AAAI 2025 ·

    Han Shu

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15. Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models
    ECCV 2024 ·

    Mengyu Zheng

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16. Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation
    ECCV 2024 ·

    Zhenliang Ni

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17. Data-efficient Large Vision Models through Sequential Autoregression
    ICML 2024 ·

    Zhiwei Hao

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18. ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking
    ICML 2024 ·

    Wenshuo Li

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19. Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting
    NeurIPS 2024 ·

    Fangcheng Liu

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20. Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning
    ICML 2024 ·

    Shibo Jie

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21. MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers
    NeurIPS 2024 ·

    Ning Ding

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22. Rethinking Optimization and Architecture for Tiny Language Models
    ICML 2024 · Yehui Tang
23. SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization
    ICML 2024 ·

    Jialong Guo

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24. Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning
    NeurIPS 2024 ·

    Hang Zhou

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25. Token Compensator: Altering Inference Cost of Vision Transformer Without Re-tuning
    ECCV 2024 ·

    Shibo Jie

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26. Visual Prompting via Partial Optimal Transport
    ECCV 2024 ·

    Mengyu Zheng

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