11 citations · 12 across the 3 of their papers we have counts for
3 papers
Infer-EDGE: Dynamic DNN Inference Optimization in 'Just-in-time' Edge-AI Implementations
Motahare Mounesan, Xiaojie Zhang, Saptarshi Debroy
Balancing mutually diverging performance metrics, such as end-to-end latency, accuracy, and device energy consumption, is a challenging undertaking for deep neural network (DNN) in…
EdgeRL: Reinforcement Learning-driven Deep Learning Model Inference Optimization at Edge
Motahare Mounesan, Xiaojie Zhang, Saptarshi Debroy
Balancing mutually diverging performance metrics, such as, processing latency, outcome accuracy, and end device energy consumption is a challenging undertaking for deep learning mo…
End-to-End Latency Optimization of Multi-view 3D Reconstruction for Disaster Response
Xiaojie Zhang, Mingjun Li, Andrew Hilton +3
In order to plan rapid response during disasters, first responder agencies often adopt `bring your own device' (BYOD) model with inexpensive mobile edge devices (e.g., drones, robo…