Publications

Journal Papers

Conference Papers

2024

  • Cheng-Yun Yang, Gowri Ramshankar, Sudarshan Nambiar, Evan Miller,Xun Zhang, Nicholas Eliopoulos, Purvish Jajal, Dave Jing Tian, Shuo-Han Chen, Chiy-Ferng Perng, Yung-Hsiang Lu, “Securing Deep Neural Networks on Edge from Membership Inference Attacks Using Trusted Execution Environments” , IEEE/ACM International Symposium on Low Power Electronics and Design 2024.

  • Brian Ng, Samantha Sudhoff, Haichang Li, Josh Kamphuis, Tim Nadolsky, Yingjie Chen, Kristen Yun, Yung-Hsiang Lu, “Visualize Music Using Generative Arts”, IEEE Conference on Artificial Intelligence 2024.

  • Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Chen-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu, “An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions”, Asia and South Pacific Design Automation Conference 2024.

2023

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2021

2020

2019

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2017

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1999

Book Chapters

Technical Reports

Book

PhD Thesis

Yung-Hsiang Lu, “Doctoral Thesis: Power-aware operating systems for interactive systems”, Primary Advisor: Giovanni De Micheli, Department of Electrical Engineering, Stanford University, 2001.