no code implementations • 7 May 2024 • Ruiyang Qin, Zheyu Yan, Dewen Zeng, Zhenge Jia, Dancheng Liu, Jianbo Liu, Zhi Zheng, Ningyuan Cao, Kai Ni, JinJun Xiong, Yiyu Shi
Large Language Models (LLMs) deployed on edge devices learn through fine-tuning and updating a certain portion of their parameters.
no code implementations • 21 Nov 2023 • Ruiyang Qin, Jun Xia, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Peipei Zhou, Jingtong Hu, Yiyu Shi
While it is possible to obtain annotation locally by directly asking users to provide preferred responses, such annotations have to be sparse to not affect user experience.
no code implementations • 9 May 2023 • Zhenge Jia, Dawei Li, Cong Liu, Liqi Liao, Xiaowei Xu, Lichuan Ping, Yiyu Shi
This paper concludes with the direction of improvement for the future TinyML design for health monitoring applications.
no code implementations • 22 Apr 2023 • Tsung-Han Kuo, Zhenge Jia, Tei-Wei Kuo, Jingtong Hu
With the increased accuracy of modern computer vision technology, many access control systems are equipped with face recognition functions for faster identification.
no code implementations • 16 Dec 2022 • Zhenge Jia, Yiyu Shi, Jingtong Hu, Lei Yang, Benjamin Nti
Point-of-care ultrasound (POCUS) is one of the most commonly applied tools for cardiac function imaging in the clinical routine of the emergency department and pediatric intensive care unit.
no code implementations • 18 Aug 2020 • Zhenge Jia, Zhepeng Wang, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu
We equip the system with real-time inference on both intracardiac and surface rhythm monitors.
no code implementations • 23 Apr 2020 • Yawen Wu, Zhepeng Wang, Zhenge Jia, Yiyu Shi, Jingtong Hu
This work aims to enable persistent, event-driven sensing and decision capabilities for energy-harvesting (EH)-powered devices by deploying lightweight DNNs onto EH-powered devices.