66 citations · 93 across the 6 of their papers we have counts for
6 papers
SoundSieve: Seconds-Long Audio Event Recognition on Intermittently-Powered Systems
Mahathir Monjur, Yubo Luo, Zhenyu Wang +1
A fundamental problem of every intermittently-powered sensing system is that signals acquired by these systems over a longer period in time are also intermittent. As a consequence,…
Amalgamated Intermittent Computing Systems
Bashima Islam, Yubo Luo, Shahriar Nirjon
Intermittent computing systems undergo frequent power failure, hindering necessary data sample capture or timely on-device computation. These missing samples and deadlines limit th…
Efficient Multitask Learning on Resource-Constrained Systems
Yubo Luo, Le Zhang, Zhenyu Wang +1
We present Antler, which exploits the affinity between all pairs of tasks in a multitask inference system to construct a compact graph representation of the task set and finds an o…
SmartON: Just-in-Time Active Event Detection on Energy Harvesting Systems
Yubo Luo, Shahriar Nirjon
We propose SmartON, a batteryless system that learns to wake up proactively at the right moment in order to detect events of interest. It does so by adapting the duty cycle to matc…
Zygarde: Time-Sensitive On-Device Deep Inference and Adaptation on Intermittently-Powered Systems
Bashima Islam, Shahriar Nirjon
We propose Zygarde -- which is an energy -- and accuracy-aware soft real-time task scheduling framework for batteryless systems that flexibly execute deep learning tasks1 that are…
Intermittent Learning: On-Device Machine Learning on Intermittently Powered System
Seulki Lee, Bashima Islam, Yubo Luo +1
This paper introduces intermittent learning - the goal of which is to enable energy harvested computing platforms capable of executing certain classes of machine learning tasks eff…