Yung-Hsiang Lu, Professor, Fellow of the IEEE
Purdue University
H-index: 42
North America-United States
Top articles of Yung-Hsiang Lu, Professor, Fellow of the IEEE
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions | Caleb Tung Nicholas Eliopoulos Purvish Jajal Gowri Ramshankar Cheng-Yun Yang | 2024/1/22 | |
Intermediate C Programming Supplemental Lecture Materials | Yung-Hsiang Lu George K Thiruvathukal | 2024 | |
Analysis of failures and risks in deep learning model converters: A case study in the onnx ecosystem | arXiv preprint arXiv:2303.17708 | Purvish Jajal Wenxin Jiang Arav Tewari Joseph Woo George K Thiruvathukal | 2023/3/30 |
Observing Human Mobility Internationally During COVID-19 | Computer | Shane Allcroft Mohammed Metwaly Zachery Berg Isha Ghodgaonkar Fischer Bordwell | 2023/3/3 |
Conversations with ChatGPT about C programming: An ongoing study | James C Davis Yung-Hsiang Lu George K Thiruvathukal | 2023 | |
Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge | Computer | Xiao Hu Ziteng Jiao Ayden Kocher Zhenyu Wu Junjie Liu | 2023/8/3 |
Low-Power Computer Vision: Status, Challenges, Opportunities | Yung-Hsiang Lu | 2023 | |
Lightning Talk 6: Bringing Together Foundation Models and Edge Devices | Nick John Eliopoulos Yung-Hsiang Lu | 2023/7/9 | |
An empirical study of pre-trained model reuse in the hugging face deep learning model registry | Wenxin Jiang Nicholas Synovic Matt Hyatt Taylor R Schorlemmer Rohan Sethi | 2023/5/14 | |
History of Low-Power Computer Vision Challenge | Yung-Hsiang Lu Xiao Hu Yiran Chen Joe Spisak Gaurav Aggarwal | 2022/2/22 | |
Directed Acyclic Graph-based Neural Networks for Tunable Low-Power Computer Vision | Abhinav Goel Caleb Tung Nick Eliopoulos Xiao Hu George K Thiruvathukal | 2022/8/1 | |
Book Introduction | Minh Nguyen Phill Wilcox Jonathan Rigg | 2023 | |
Irrelevant pixels are everywhere: Find and exclude them for more efficient computer vision | Caleb Tung Abhinav Goel Xiao Hu Nick Eliopoulos Emmanuel S Amobi | 2022/6/13 | |
Low-power computer vision: improve the efficiency of artificial intelligence | George K Thiruvathukal Yung-Hsiang Lu Jaeyoun Kim Yiran Chen Bo Chen | 2022/2/22 | |
Why accuracy is not enough: The need for consistency in object detection | IEEE MultiMedia | Caleb Tung Abhinav Goel Fischer Bordwell Nick Eliopoulos Xiao Hu | 2022/5/19 |
Efficient computer vision on edge devices with pipeline-parallel hierarchical neural networks | Abhinav Goel Caleb Tung Xiao Hu George K Thiruvathukal James C Davis | 2022/1/17 | |
Efficient computer vision for embedded systems | Computer | George K Thiruvathukal Yung-Hsiang Lu | 2022/4/11 |
Survey on Energy-Efficient Deep Neural Networks for Computer Vision | Abhinav Goel Caleb Tung Xiao Hu Haobo Wang Yung-Hsiang Lu | 2022/2/22 | |
Tree-Based Unidirectional Neural Networks for Low-Power Computer Vision | IEEE Design & Test | Abhinav Goel Caleb Tung Nick Eliopoulos George K Thiruvathukal Amy Wang | 2022/11/2 |
Low-power multi-camera object re-identification using hierarchical neural networks | Abhinav Goel Caleb Tung Xiao Hu Haobo Wang James C Davis | 2021/7/26 |
