Luke Chen

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators.
CoRR, 2024

2023
Data-driven Energy-efficient Adaptive Sampling Using Deep Reinforcement Learning.
ACM Trans. Comput. Heal., July, 2023

Testudo: Collaborative Intelligence for Latency-Critical Autonomous Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2023

DOMINO: Domain-Invariant Hyperdimensional Classification for Multi-Sensor Time Series Data.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022
Hardware Trojan Detection using Graph Neural Networks.
CoRR, 2022

Neural Contextual Bandits Based Dynamic Sensor Selection for Low-Power Body-Area Networks.
Proceedings of the ISLPED '22: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston, MA, USA, August 1, 2022

Romanus: Robust Task Offloading in Modular Multi-Sensor Autonomous Driving Systems.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2021
Feature Augmented Hybrid CNN for Stress Recognition Using Wrist-based Photoplethysmography Sensor.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021


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