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Pu Zhao

Northeastern University, Boston, MA, USA

16 papers at tracked venues · 9 at CORE A* · active 2024–2025

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Venues

AAAI ×3NeurIPS ×3ECCV ×2EMNLP ×2IJCAI ×2CVPR ×1ICLR ×1ICML ×1WACV ×1

Frequent coauthors

Xuan Shen
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Zheng Zhan
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Pinrui Yu
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Zichong Meng
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Changdi Yang
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Lin Zhao
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Jun Liu
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Papers

  1. FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts
    IJCAI 2025 ·
    Changdi Yang
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  2. LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers
    AAAI 2025 ·
    Xuan Shen
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  3. Numerical Pruning for Efficient Autoregressive Models
    AAAI 2025 ·
    Xuan Shen
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  4. Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation
    WACV 2025 ·
    Pinrui Yu
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  5. QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge
    CVPR 2025 ·
    Xuan Shen
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  6. Sparse Learning for State Space Models on Mobile
    ICLR 2025 ·
    Xuan Shen
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  7. Taming Diffusion for Dataset Distillation with High Representativeness
    ICML 2025 ·
    Lin Zhao
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  8. Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
    AAAI 2025 ·
    Jun Liu
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  9. DiffClass: Diffusion-Based Class Incremental Learning
    ECCV 2024 ·
    Zichong Meng
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  10. Exploring Token Pruning in Vision State Space Models
    NeurIPS 2024 ·
    Zheng Zhan
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  11. Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
    NeurIPS 2024 ·
    Zheng Zhan
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  12. FasterVD: On Acceleration of Video Diffusion Models
    IJCAI 2024 ·
    Pinrui Yu
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  13. InstructGIE: Towards Generalizable Image Editing
    ECCV 2024 ·
    Zichong Meng
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  14. Pruning Foundation Models for High Accuracy without Retraining
    EMNLP 2024 · Pu Zhao
  15. Rethinking Token Reduction for State Space Models
    EMNLP 2024 ·
    Zheng Zhan
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  16. Search for Efficient Large Language Models
    NeurIPS 2024 ·
    Xuan Shen
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