185 citations · 228 across the 21 of their papers we have counts for
7 papers · 1 filter
DeepEn2023: Energy Datasets for Edge Artificial Intelligence
Xiaolong Tu, Anik Mallik, Haoxin Wang +1
Climate change poses one of the most significant challenges to humanity. As a result of these climatic changes, the frequency of weather, climate, and water-related disasters has m…
Poster: Real-Time Object Substitution for Mobile Diminished Reality with Edge Computing
Hongyu Ke, Haoxin Wang
Diminished Reality (DR) is considered as the conceptual counterpart to Augmented Reality (AR), and has recently gained increasing attention from both industry and academia. Unlike…
Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices
Xiaolong Tu, Anik Mallik, Dawei Chen +4
Today, deep learning optimization is primarily driven by research focused on achieving high inference accuracy and reducing latency. However, the energy efficiency aspect is often…
Visualization of Mobility Digital Twin: Framework Design, Case Study, and Future Challenges
Yueyang Liu, Xiaolong Tu, Dawei Chen +4
A Mobility Digital Twin is an emerging implementation of digital twin technology in the transportation domain, which creates digital replicas for various physical mobility entities…
Confidence-based federated distillation for vision-based lane-centering
Yitao Chen, Dawei Chen, Haoxin Wang +2
A fundamental challenge of autonomous driving is maintaining the vehicle in the center of the lane by adjusting the steering angle. Recent advances leverage deep neural networks to…
EPAM: A Predictive Energy Model for Mobile AI
Anik Mallik, Haoxin Wang, Jiang Xie +2
Artificial intelligence (AI) has enabled a new paradigm of smart applications -- changing our way of living entirely. Many of these AI-enabled applications have very stringent late…