8 citations · 12 across the 9 of their papers we have counts for
9 papers
HydraCollab: Adaptive Collaborative-Perception for Distributed Autonomous Systems
Luke Chen, Cheng-Ju Wu, David R. Martin +3
Collaborative-perception enables multi-robot systems to enhance situational awareness by sharing perceptual information. Existing collaborative-perception systems face an inherent…
Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception
Luke Chen, Junyao Wang, Trier Mortlock +2
Uncertainty Quantification (UQ) is crucial for ensuring the reliability of machine learning models deployed in real-world autonomous systems. However, existing approaches typically…
Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception
Mohanad Odema, Luke Chen, Hyoukjun Kwon +1
We study the application of emerging chiplet-based Neural Processing Units to accelerate vehicular AI perception workloads in constrained automotive settings. The motivation stems…
SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators
Mohanad Odema, Luke Chen, Hyoukjun Kwon +1
Emerging multi-model workloads with heavy models like recent large language models significantly increased the compute and memory demands on hardware. To address such increasing de…
DOMINO: Domain-invariant Hyperdimensional Classification for Multi-Sensor Time Series Data
Junyao Wang, Luke Chen, Mohammad Abdullah Al Faruque
With the rapid evolution of the Internet of Things, many real-world applications utilize heterogeneously connected sensors to capture time-series information. Edge-based machine le…
Romanus: Robust Task Offloading in Modular Multi-Sensor Autonomous Driving Systems
Luke Chen, Mohanad Odema, Mohammad Abdullah Al Faruque
Due to the high performance and safety requirements of self-driving applications, the complexity of modern autonomous driving systems (ADS) has been growing, instigating the need f…
Neural Contextual Bandits Based Dynamic Sensor Selection for Low-Power Body-Area Networks
Berken Utku Demirel, Luke Chen, Mohammad Abdullah Al Faruque
Providing health monitoring devices with machine intelligence is important for enabling automatic mobile healthcare applications. However, this brings additional challenges due to…
Hardware Trojan Detection using Graph Neural Networks
Rozhin Yasaei, Luke Chen, Shih-Yuan Yu +1
The globalization of the Integrated Circuit (IC) supply chain has moved most of the design, fabrication, and testing process from a single trusted entity to various untrusted third…
Feature Augmented Hybrid CNN for Stress Recognition Using Wrist-based Photoplethysmography Sensor
Nafiul Rashid, Luke Chen, Manik Dautta +3
Stress is a physiological state that hampers mental health and has serious consequences to physical health. Moreover, the COVID-19 pandemic has increased stress levels among people…