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Yu-Shan Tai
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2020 – today
- 2024
- [c6]Yuan-June Luo, Yu-Shan Tai, Ming-Guang Lin, An-Yeu Andy Wu:
Similarity-Aware Fast Low-Rank Decomposition Framework for Vision Transformers. ISCAS 2024: 1-5 - [c5]Chieh-En Wang, Yu-Shan Tai, An-Yeu Wu:
FQ4DM: Full Quantization for Diffusion Model. MLSP 2024: 1-6 - [i3]Yu-Shan Tai, An-Yeu Wu:
MPTQ-ViT: Mixed-PrecisionPost-TrainingQuantizationforVisionTransformer. CoRR abs/2401.14895 (2024) - 2023
- [j1]Yu-Shan Tai
, Cheng-Yang Chang
Joint Optimization of Dimension Reduction and Mixed-Precision Quantization for Activation Compression of Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 4025-4037 (2023) - [c4]Yu-Shan Tai, Ming-Guang Lin, An-Yeu Andy Wu:
TSPTQ-ViT: Two-Scaled Post-Training Quantization for Vision Transformer. ICASSP 2023: 1-5 - 2022
- [c3]Yu-Shan Tai, Chieh-Fang Teng, Cheng-Yang Chang, An-Yeu Andy Wu:
Compression-Aware Projection with Greedy Dimension Reduction for Convolutional Neural Network Activations. ICASSP 2022: 56-60 - [c2]Yu-Shan Tai, Cheng-Yang Chang, Chieh-Fang Teng, An-Yeu Andy Wu:
Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation. SiPS 2022: 1-6 - [i2]Yu-Shan Tai, Cheng-Yang Chang, Chieh-Fang Teng, An-Yeu Andy Wu:
Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation. CoRR abs/2207.07931 (2022) - 2021
- [c1]Yu-Shan Tai, Yi-Ta Chen, An-Yeu Andy Wu:
Scalable NPairLoss-Based Deep-ECG for ECG Verification. AIAI 2021: 57-68 - [i1]Yu-Shan Tai, Chieh-Fang Teng, Cheng-Yang Chang, An-Yeu Wu:
Compression-aware Projection with Greedy Dimension Reduction for Convolutional Neural Network Activations. CoRR abs/2110.08828 (2021)
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