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ORCIDNicholas Eliopoulos
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2020 – today
- 2024
[c5]Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Cheng-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. ASPDAC 2024: 890-895- [c4]Cheng-Yun Yang
, Gowri Ramshankar, Nicholas Eliopoulos, Purvish Jajal, Sudarshan Nambiar, Evan Miller, Xun Zhang, 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. ISLPED 2024: 1-6 - [i4]Huiyun Peng, Arjun Gupte, Nicholas John Eliopoulos, Chien Chou Ho, Rishi Mantri, Leo Deng, Wenxin Jiang, Yung-Hsiang Lu, Konstantin Läufer, George K. Thiruvathukal, James C. Davis:
Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions. CoRR abs/2410.09241 (2024) - 2023
- [j2]Abhinav Goel, Caleb Tung, Nick Eliopoulos, George K. Thiruvathukal, Amy Wang, Yung-Hsiang Lu, James C. Davis:
Tree-Based Unidirectional Neural Networks for Low-Power Computer Vision. IEEE Des. Test 40(3): 53-61 (2023) - [c3]Nick Eliopoulos, Yung-Hsiang Lu:
Lightning Talk 6: Bringing Together Foundation Models and Edge Devices. DAC 2023: 1-2 - [i3]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. CoRR abs/2310.07782 (2023) - 2022
- [j1]Caleb Tung, Abhinav Goel, Fischer Bordwell, Nick Eliopoulos, Xiao Hu, Yung-Hsiang Lu, George K. Thiruvathukal:
Why Accuracy is Not Enough: The Need for Consistency in Object Detection. IEEE Multim. 29(3): 8-16 (2022) - [c2]Caleb Tung, Abhinav Goel, Xiao Hu, Nick Eliopoulos, Emmanuel S. Amobi, George K. Thiruvathukal, Vipin Chaudhary, Yung-Hsiang Lu:
Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision. AICAS 2022: 340-343 - [c1]Abhinav Goel, Caleb Tung, Nick Eliopoulos, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu:
Directed Acyclic Graph-based Neural Networks for Tunable Low-Power Computer Vision. ISLPED 2022: 30:1-30:6 - [i2]Caleb Tung, Abhinav Goel, Xiao Hu, Nicholas Eliopoulos, Emmanuel S. Amobi, George K. Thiruvathukal, Vipin Chaudhary, Yung-Hsiang Lu:
Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision. CoRR abs/2207.10741 (2022) - [i1]Caleb Tung, Abhinav Goel, Fischer Bordwell, Nick Eliopoulos, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu:
Why Accuracy Is Not Enough: The Need for Consistency in Object Detection. CoRR abs/2207.13890 (2022)
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