7 citations · 11 across the 7 of their papers we have counts for
7 papers
Exploiting Fully Convolutional Network and Visualization Techniques on Spontaneous Speech for Dementia Detection
Youxiang Zhu, Xiaohui Liang
In this paper, we exploit a Fully Convolutional Network (FCN) to analyze the audio data of spontaneous speech for dementia detection. A fully convolutional network accommodates spe…
Multi-Scale Dual-Branch Fully Convolutional Network for Hand Parsing
Yang Lu, Xiaohui Liang, Frederick W. B. Li
Recently, fully convolutional neural networks (FCNs) have shown significant performance in image parsing, including scene parsing and object parsing. Different from generic object…
Efficient and Privacy-preserving Voice-based Search over mHealth Data
Mohammad Hadian, Thamer Altuwaiyan, Xiaohui Liang +1
In-home IoT devices play a major role in healthcare systems as smart personal assistants. They usually come with a voice-enabled feature to add an extra level of usability and conv…
Privacy-preserving mHealth Data Release with Pattern Consistency
Mohammad Hadian, Xiaohui Liang, Thamer Altuwaiyan +1
Mobile healthcare system integrating wearable sensing and wireless communication technologies continuously monitors the users' health status. However, the mHealth system raises a s…
DOOBNet: Deep Object Occlusion Boundary Detection from an Image
Guoxia Wang, Xiaohui Liang, Frederick W. B. Li
Object occlusion boundary detection is a fundamental and crucial research problem in computer vision. This is challenging to solve as encountering the extreme boundary/non-boundary…
Re-DPoctor: Real-time health data releasing with w-day differential privacy
Jiajun Zhang, Xiaohui Liang, Zhikun Zhang +2
Wearable devices enable users to collect health data and share them with healthcare providers for improved health service. Since health data contain privacy-sensitive information,…