4 citations · 6 across the 3 of their papers we have counts for
8 papers
Retrieval Based Time Series Forecasting
Baoyu Jing, Si Zhang, Yada Zhu +4
Time series data appears in a variety of applications such as smart transportation and environmental monitoring. One of the fundamental problems for time series analysis is time se…
Multiplex Graph Neural Network for Extractive Text Summarization
Baoyu Jing, Zeyu You, Tao Yang +2
Extractive text summarization aims at extracting the most representative sentences from a given document as its summary. To extract a good summary from a long text document, senten…
HDMI: High-order Deep Multiplex Infomax
Baoyu Jing, Chanyoung Park, Hanghang Tong
Networks have been widely used to represent the relations between objects such as academic networks and social networks, and learning embedding for networks has thus garnered plent…
Network of Tensor Time Series
Baoyu Jing, Hanghang Tong, Yada Zhu
Co-evolving time series appears in a multitude of applications such as environmental monitoring, financial analysis, and smart transportation. This paper aims to address the follow…
SODA: Detecting Covid-19 in Chest X-rays with Semi-supervised Open Set Domain Adaptation
Jieli Zhou, Baoyu Jing, Zeya Wang
Due to the shortage of COVID-19 viral testing kits and the long waiting time, radiology imaging is used to complement the screening process and triage patients into different risk…
Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports
Baoyu Jing, Zeya Wang, Eric Xing
Chest X-Ray (CXR) images are commonly used for clinical screening and diagnosis. Automatically writing reports for these images can considerably lighten the workload of radiologist…