Ming-Guang Lin

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Pruning Methods

Quantization Step

Top Venues

IEEE J. Emerg. Sel. Topics Circuits Syst.

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-Chuan Chuang, Ming-Guang Lin, Chi-Tse Huang, Chieh-Fang Teng, Cheng-Yang Chang, Yi-Ta Chen, An-Yeu Andy Wu
A 40nm 24.6TOPS/W Scalable EfficientDet Processor for Object Detection. ISCAS (2024)
Ming-Guang Lin, Jiing-Ping Wang, Cheng-Yang Chang, An-Yeu Andy Wu
Approximate Adder Tree Design with Sparsity-Aware Encoding and In-Memory Swapping for SRAM-based Digital Compute-In-Memory Macros. AICAS (2024)
Yun-Chia Yu, Mao-Chi Weng, Ming-Guang Lin, An-Yeu Andy Wu
Retraining-free Constraint-aware Token Pruning for Vision Transformer on Edge Devices. ISCAS (2024)
Jiing-Ping Wang, Ming-Guang Lin, An-Yeu Andy Wu
LATTE: Low-Precision Approximate Attention with Head-wise Trainable Threshold for Efficient Transformer. AICAS (2024)
Jiing-Ping Wang, Ming-Guang Lin, An-Yeu Wu
LATTE: Low-Precision Approximate Attention with Head-wise Trainable Threshold for Efficient Transformer. CoRR (2024)
Yu-Shan Tai, Ming-Guang Lin, An-Yeu Andy Wu
TSPTQ-ViT: Two-Scaled Post-Training Quantization for Vision Transformer. ICASSP (2023)
Ming-Guang Lin, Chi-Tse Huang, Yu-Chuan Chuang, Yi-Ta Chen, Ying-Tuan Hsu, Yu-Kai Chen, Jyun-Jhe Chou, Tsung-Te Liu, Chi-Sheng Shih, An-Yeu Wu
D-NAT: Data-Driven Non-Ideality Aware Training Framework for Fabricated Computing-In-Memory Macros. IEEE J. Emerg. Sel. Topics Circuits Syst. 12 (2) (2022)
Chi-Tse Huang, Yu-Chuan Chuang, Ming-Guang Lin, An-Yeu Andy Wu
Automated Quantization Range Mapping for DAC/ADC Non-linearity in Computing-In-Memory. ISCAS (2022)