[HTML][HTML] Leveraging functional annotations in genetic risk prediction for human complex diseases
Genetic risk prediction is an important goal in human genetics research and precision
medicine. Accurate prediction models will have great impacts on both disease prevention and …
medicine. Accurate prediction models will have great impacts on both disease prevention and …
Rehabilitative effect of music therapy for residual schizophrenia: A one-month randomised controlled trial in Shanghai
W Tang, X Yao, Z Zheng - The British journal of psychiatry, 1994 - cambridge.org
Seventy-six in-patients who had the residual subtype of schizophrenia were randomly
assigned to a treatment group or a control group. Both groups received standard medication as …
assigned to a treatment group or a control group. Both groups received standard medication as …
Dense GAN and multi-layer attention based lesion segmentation method for COVID-19 CT images
…, L Yu, D Chen, W Pan, C Shi, Y Niu, X Yao… - … signal processing and …, 2021 - Elsevier
As the COVID-19 virus spreads around the world, testing and screening of patients have
become a headache for governments. With the accumulation of clinical diagnostic data, the …
become a headache for governments. With the accumulation of clinical diagnostic data, the …
Rekall: Specifying video events using compositions of spatiotemporal labels
Many real-world video analysis applications require the ability to identify domain-specific
events in video, such as interviews and commercials in TV news broadcasts, or action …
events in video, such as interviews and commercials in TV news broadcasts, or action …
DRL-based offloading for computation delay minimization in wireless-powered multi-access edge computing
Wireless power transfer (WPT) and edge computing have been validated as effective ways
to solve the energy-limited problem and computation-capacity-limited problem of wireless …
to solve the energy-limited problem and computation-capacity-limited problem of wireless …
GenoWAP: GWAS signal prioritization through integrated analysis of genomic functional annotation
Motivation: Genome-wide association study (GWAS) has been a great success in the past
decade. However, significant challenges still remain in both identifying new risk loci and …
decade. However, significant challenges still remain in both identifying new risk loci and …
Iterative text-based editing of talking-heads using neural retargeting
We present a text-based tool for editing talking-head video that enables an iterative editing
workflow. On each iteration users can edit the wording of the speech, further refine mouth …
workflow. On each iteration users can edit the wording of the speech, further refine mouth …
FedAWR: An interactive federated active learning framework for air writing recognition
The rapid development of technology such as virtual reality and augmented reality, coupled
with the reduced direct contact due to the COVID-19 pandemic, has led to the emergence of …
with the reduced direct contact due to the COVID-19 pandemic, has led to the emergence of …
Diffusion robust variable step-size LMS algorithm over distributed networks
In this paper, we propose a novel diffusion robust variable step-size least mean square (DRVSS-LMS)
algorithm that is insensitive to impulsive noise for distributed estimation in the …
algorithm that is insensitive to impulsive noise for distributed estimation in the …
Optimization for sequential communication line attack in interdependent power-communication network
W Huang, T Zhang, X Yao - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
In this paper, we construct a novel model to study cascading failures that occur in the
interdependent power-communication network. Based on this model, we employ the Q-learning …
interdependent power-communication network. Based on this model, we employ the Q-learning …