Yingyan Lin

On-Demand Deep Model Compression for Mobile Devices

Sicong Liu, Yingyan Lin, Zimu Zhou et al. · 2018 · 220 citations

Convolutional Neural Network, Engineering, Machine Learning +17

I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization

Tong Geng, Chunshu Wu, Yongan Zhang et al. · 2021 · 125 citations

Convolutional Neural Network, Graph Representation Learning, Machine Learning +19

ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design

Haoran You, Zhanyi Sun, Huihong Shi et al. · 2023 · 97 citations

Deep $k$-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions

Junru Wu, Yue Wang, Zhenyu Wu et al. · arXiv (Cornell University) · 2018 · 84 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +17

Dual Dynamic Inference: Enabling More Efficient, Adaptive, and Controllable Deep Inference

Yue Wang, Jianghao Shen, Ting-Kuei Hu et al. · IEEE Journal of Selected Topics in Signal Processing · 2020 · 84 citations