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Peiyan Dong

Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers

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Jul 25, 2024
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EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge

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Feb 16, 2024
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Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge

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Dec 09, 2023
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SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices

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Sep 21, 2023
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Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training

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Nov 19, 2022
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HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers

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Nov 15, 2022
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The Lottery Ticket Hypothesis for Vision Transformers

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Nov 02, 2022
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Quantum Neural Network Compression

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Jul 05, 2022
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SPViT: Enabling Faster Vision Transformers via Soft Token Pruning

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Dec 27, 2021
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GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity

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Aug 25, 2021
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