Yung-Hsiang Lu
Yung-Hsiang Lu is a professor of Electrical and Computer Engineering at Purdue University. He is a University Faculty Scholar of Purdue University. He is a fellow of the IEEE (Institute of Electrical and Electronics Engineers), distinguished visitor of the Computer Society, distinguished scientist and distinguished speaker of the ACM (Association for Computing Machinery). Dr. Lu is the inaugural director of Purdue’s John Martinson Engineering Entrepreneurial Center (2020-2022). In 2019, he received Outstanding VIP-Based Entrepreneur Award from the VIP (Vertically Integrated Projects) Consortium. His research areas include computer vision, embedded systems, cloud and mobile computing. Dr. Lu has advised 400 undergraduate students in research projects and taught more than 5,000 students in classrooms. He has advised multiple student teams winning business plan competitions; two teams of students started technology companies and raised more than $1.5M.
News
“Detecting Music Performance Errors with Transformers”, Annual Conference on Artificial Intelligence 2025
“Pruning One More Token is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edge”, IEEE/CVF Winter Conference on Applications of Computer Vision 2025.
“Token Turing Machines are Efficient Vision Models”, IEEE/CVF Winter Conference on Applications of Computer Vision 2025
“Exploring The Risks and Rewards of Large Language Models in Enabling Energy-Efficient Data Center Software Infrastructure”, NSF EAGER 2343596.
“Annual Review of AI Institute for Agent-Based Cyber Threat Intelligence and Operation”, June 20-21, 2024, UC Santa Barbara.
“Visualize Music Using Generative Arts”, 2024 IEEE Conference on Artificial Intelligence.
“Defending Membership Inference Attack on Edge using Trusted Execution Environments”, 2024 Design Automation Conference.
Books
Yung-Hsiang Lu and George K. Thiruvathukal “Intermediate C Programming (2nd Edition)”, CRC Press, ISBN 978-1-0321-8981-9, 480 Pages 14 Color & 40 B/W Illustrations, To be published February 8, 2024. Resources for instructors and students:
(Editors) George K. Thiruvathukal, Yung-Hsiang Lu, Jaeyoun Kim, Yiran Chen, Bo Chen, “Low-Power Computer Vision Improve the Efficiency of Artificial Intelligence”, Chapman and Hall/CRC, ISBN 978-0-3677-4470-0, 438 Pages 62 Color and 39 B/W Illustrations, Published February 23, 2022.
Yung-Hsiang Lu, “Intermediate C Programming”, CRC Press, ISBN 978-1-4987-1163-0, 500 Pages, 123 B/W Illustrations, Published June 16, 2015. Chinese Version.
Contact Information
Email: yunglu@purdue.edu
Office: MSEE 222, 501 Northwestern Ave, West Lafayette, IN 47907, USA
Linkedin: https://www.linkedin.com/in/yung-hsiang-lu-51842b22/
Linkedin Group for Research: https://www.linkedin.com/groups/13599559/
Linkedin Group for ECE 264 C Programming: https://www.linkedin.com/groups/8672695/