Peisong Wang

Venues

Frequent coauthors

Papers

1. A Universal Self-Attention Enhancement for Bridging Low-bit Quantization and Vision Transformers
   WACV 2026 ·

   Jiahe Qian

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2. FARSS: Fisher-Optimized Adaptive Low-Rank and Singular-Vector Selection for Knowledge-Preserving Fine-Tuning
   ACL 2026 ·

   Renxing Chen

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3. MemeBQ: Memory Efficient Binary Quantization of LLMs
   AAAI 2026 ·

   Yuanhui Wang

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4. DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization
   NeurIPS 2025 ·

   Yuantian Shao

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5. EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models
   ACL 2025 ·

   Yuanteng Chen

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6. LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning
   EMNLP 2025 ·

   Zhangming Li

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7. Q-Mamba: Towards more efficient Mamba models via post-training quantization
   ACL 2025 ·

   Tianqi Chen

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8. RQT: Hierarchical Residual Quantization for Multi-Model Compression
   ACL 2025 ·

   Tianqi Chen

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9. Patch-Aware Sample Selection for Efficient Masked Image Modeling
   AAAI 2024 ·

   Zhengyang Zhuge

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10. Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration
    ICML 2024 ·

    Zhengyang Zhuge

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