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Zhenglun Kong

11 papers at tracked venues · 7 at CORE A* · active 2024–2025

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Venues

NeurIPS ×3AAAI ×2EMNLP ×2ICLR ×2IJCAI ×1WACV ×1

Frequent coauthors

Xuan Shen
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Zheng Zhan
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Pinrui Yu
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Sheng Li
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Jun Liu
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Pu Zhao
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Papers

  1. Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning
    ICLR 2025 ·
    Sheng Li
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  2. Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation
    WACV 2025 ·
    Pinrui Yu
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  3. Sparse Learning for State Space Models on Mobile
    ICLR 2025 ·
    Xuan Shen
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  4. Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
    AAAI 2025 ·
    Jun Liu
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  5. Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
    AAAI 2024 ·
    Xuan Shen
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  6. Exploring Token Pruning in Vision State Space Models
    NeurIPS 2024 ·
    Zheng Zhan
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  7. Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
    NeurIPS 2024 ·
    Zheng Zhan
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  8. FasterVD: On Acceleration of Video Diffusion Models
    IJCAI 2024 ·
    Pinrui Yu
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  9. Pruning Foundation Models for High Accuracy without Retraining
    EMNLP 2024 ·
    Pu Zhao
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  10. Rethinking Token Reduction for State Space Models
    EMNLP 2024 ·
    Zheng Zhan
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  11. Search for Efficient Large Language Models
    NeurIPS 2024 ·
    Xuan Shen
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