Yu-Shan Tai

According to our database, Yu-Shan Tai authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

MPTQ-ViT: Mixed-PrecisionPost-TrainingQuantizationforVisionTransformer.

Yu-Shan Tai, An-Yeu Wu

CoRR, 2024

FQ4DM: Full Quantization for Diffusion Model.

Chieh-En Wang, Yu-Shan Tai, An-Yeu Wu

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Similarity-Aware Fast Low-Rank Decomposition Framework for Vision Transformers.

Yuan-June Luo, Yu-Shan Tai, Ming-Guang Lin, An-Yeu Andy Wu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2023

Joint Optimization of Dimension Reduction and Mixed-Precision Quantization for Activation Compression of Neural Networks.

Yu-Shan Tai, Cheng-Yang Chang, Chieh-Fang Teng, Yi-Ta Chen, An-Yeu Wu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

TSPTQ-ViT: Two-Scaled Post-Training Quantization for Vision Transformer.

Yu-Shan Tai, Ming-Guang Lin, An-Yeu Andy Wu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation.

Yu-Shan Tai, Cheng-Yang Chang, Chieh-Fang Teng, An-Yeu Andy Wu

Proceedings of the IEEE Workshop on Signal Processing Systems, 2022

Compression-Aware Projection with Greedy Dimension Reduction for Convolutional Neural Network Activations.

Yu-Shan Tai, Chieh-Fang Teng, Cheng-Yang Chang, An-Yeu Andy Wu

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Scalable NPairLoss-Based Deep-ECG for ECG Verification.

Yu-Shan Tai, Yi-Ta Chen, An-Yeu Andy Wu

Proceedings of the Artificial Intelligence Applications and Innovations, 2021