Yu-Shan Tai

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

High Dimensional Data Analysis

Dimension Reduction

Projection Matrix

Top Venues

Publications

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)
Yu-Shan Tai, An-Yeu Wu
MPTQ-ViT: Mixed-PrecisionPost-TrainingQuantizationforVisionTransformer. CoRR (2024)
Yu-Shan Tai, Cheng-Yang Chang, Chieh-Fang Teng, Yi-Ta Chen, An-Yeu Wu
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) (2023)
Yu-Shan Tai, Ming-Guang Lin, An-Yeu Andy Wu
TSPTQ-ViT: Two-Scaled Post-Training Quantization for Vision Transformer. ICASSP (2023)
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 (2022)
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)
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)
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 (2021)
Yu-Shan Tai, Yi-Ta Chen, An-Yeu Andy Wu
Scalable NPairLoss-Based Deep-ECG for ECG Verification. AIAI (2021)