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Peijie Dong

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

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Venues

ECCV ×4NeurIPS ×4EMNLP ×3ICML ×3AAAI ×2CVPR ×1ICLR ×1

Frequent coauthors

Lujun Li
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Xiang Liu
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Haosen Sun
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Zimian Wei
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Zhenheng Tang
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Penglei Sun
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Qi Li
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Yujin Tang
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Papers

  1. Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression
    ICML 2025 · Peijie Dong
  2. ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference
    NeurIPS 2025 ·
    Xiang Liu
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  3. ParZC: Parametric Zero-Cost Proxies for Efficient NAS
    AAAI 2025 · Peijie Dong
  4. Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research
    EMNLP 2025 ·
    Xiang Liu
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  5. STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs
    ICLR 2025 · Peijie Dong
  6. AttnZero: Efficient Attention Discovery for Vision Transformers
    ECCV 2024 ·
    Lujun Li
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  7. Auto-DAS: Automated Proxy Discovery for Training-Free Distillation-Aware Architecture Search
    ECCV 2024 ·
    Haosen Sun
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  8. Auto-GAS: Automated Proxy Discovery for Training-Free Generative Architecture Search
    ECCV 2024 ·
    Lujun Li
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  9. Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery
    AAAI 2024 ·
    Zimian Wei
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  10. DetKDS: Knowledge Distillation Search for Object Detectors
    ICML 2024 ·
    Lujun Li
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  11. Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models
    NeurIPS 2024 ·
    Lujun Li
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  12. FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
    NeurIPS 2024 ·
    Zhenheng Tang
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  13. LPZero: Language Model Zero-cost Proxy Search from Zero
    EMNLP 2024 · Peijie Dong
  14. LongGenBench: Long-context Generation Benchmark
    EMNLP 2024 ·
    Xiang Liu
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  15. Multi-task Domain Adaptation for Language Grounding with 3D Objects
    ECCV 2024 ·
    Penglei Sun
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  16. Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models
    ICML 2024 · Peijie Dong
  17. Should We Really Edit Language Models? On the Evaluation of Edited Language Models
    NeurIPS 2024 ·
    Qi Li
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  18. VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting
    CVPR 2024 ·
    Yujin Tang
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