J
Jiahui Huang
Researcher at University of Electronic Science and Technology of China
Publications - 4
Citations - 265
Jiahui Huang is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Convolutional neural network & Activity recognition. The author has an hindex of 3, co-authored 3 publications receiving 79 citations.
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Journal ArticleDOI
HS-CNN: a CNN with hybrid convolution scale for EEG motor imagery classification.
TL;DR: This work has proposed a hybrid-scale CNN architecture with a data augmentation method for EEG motor imagery classification that effectively addressed the issues of existing CNN-based EEGMotor imagery classification methods and improved the classification accuracy.
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TSE-CNN: A Two-Stage End-to-End CNN for Human Activity Recognition
TL;DR: A new human activity recognition method with two-stage end-to-end convolutional neural network and a data augmentation method that achieves significantly improved recognition accuracy and reduced computational complexity.
Journal ArticleDOI
Energy-Efficient Intelligent ECG Monitoring for Wearable Devices
TL;DR: This work has proposed an energy-efficient wearable intelligent ECG monitor scheme with two-stage end-to-end neural network and diagnosis-based adaptive compression that significantly reduces the power consumption in ECG diagnosis and transmission while maintaining high accuracy.
Journal ArticleDOI
An Energy-Efficient Reconfigurable AI-Based Object Detection and Tracking Processor Supporting Online Object Learning
Yuchuan Gong,Teng Zhang,Hongtao Guo,Qingsong Liu,Luying Que,Conghan Jia,Jiahui Huang,Ye Liu,Jiayan Gan,Yuxiang Xie,Yong Zhou,Lili Liu,Xiaoqiang Xiang,Liang Chang,Rui Yan,Jun Zhou +15 more
TL;DR: Compared with several state-of-the-art designs, the proposed design achieves better energy efficiency (2.13 mJ/frame), while supporting flexible object detection and tracking tasks with online object learning.