Ping Wang

Publications : 128
Aldex : 96
H-index : 7
Citations : 300

The timing of childbearing: The role of human capital and personal preferences

Hsien-Ming Lien, Ping Wang

Sep 1, 2016 in Journal of Macroeconomics

Revisit the periodicity of SGR J1935 plus 2154 bursts with updated sample

Sheng-Lun Xie, Chao-Yang Li et 32 al.

May 16, 2022 in Arxiv
Since FRB 200428 has been found to be associated with an X-ray burst from the Galactic magnetar SGR J1935+2154, it is interesting to explore whether the magnetar bursts also follow the similar active periodic behavior as some repeating FRBs. Previous studies show that there is possible period about 230 day in SGR J1935+2154 bursts. Here, we collected an updated burst sample from SGR J1935+2154, in...

A Bidirectional Tree Tagging Scheme for Joint Medical Relation Extraction

Xukun Luo, Ping Wang et 3 al.

Aug 31, 2020 in Arxiv
Joint medical relation extraction refers to extracting triples, composed of entities and relations, from the medical text with a single model. One of the solutions is to convert this task into a sequential tagging task. However, in the existing works, the methods of representing and tagging the triples in a linear way failed to the overlapping triples, and the methods of organizing the triples as ...

A Sequence Tagging based Framework for Few-Shot Relation Extraction

Xukun Luo, Ping Wang

Aug 17, 2022 in Arxiv
Relation Extraction (RE) refers to extracting the relation triples in the input text. Existing neural work based systems for RE rely heavily on manually labeled training data, but there are still a lot of domains where sufficient labeled data does not exist. Inspired by the distance-based few-shot named entity recognition methods, we put forward the definition of the few-shot RE task based on the ...

A Deep Reinforcement Learning-Based Caching Strategy for IoT Networks with Transient Data

Hongda Wu, Ping Wang et 2 al.

Mar 16, 2022 in Arxiv
The Internet of Things (IoT) has been continuously rising in the past few years, and its potentials are now more apparent. However, transient data generation and limited energy resources are the major bottlenecks of these networks. Besides, minimum delay and other conventional quality of service measurements are still valid requirements to meet. An efficient caching policy can help meet the standa...

Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation

Jizong Peng et 4 al.

Feb 4, 2022 in Arxiv
Unsupervised pre-training has been proven as an effective approach to boost various downstream tasks given limited labeled data. Among various methods, contrastive learning learns a discriminative representation by constructing positive and negative pairs. However, it is not trivial to build reasonable pairs for a segmentation task in an unsupervised way. In this work, we propose a novel unsupervi...

Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes

Ping Wang et 5 al.

Aug 1, 2021 in Arxiv
Question Answering (QA) in clinical notes has gained a lot of attention in the past few years. Existing machine reading comprehension approaches in clinical domain can only handle questions about a single block of clinical texts and fail to retrieve information about multiple patients and their clinical notes. To handle more complex questions, we aim at creating knowledge base from clinical notes ...

Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles with Joint Radar-Data Communications

Nguyen Quang Hieu, Chau Yuen et 5 al.

May 28, 2021 in Arxiv
Autonomous Vehicles (AVs) are required to operate safely and efficiently in dynamic environments. For this, the AVs equipped with Joint Radar-Communications (JRC) functions can enhance the driving safety by utilizing both radar detection and data communication functions. However, optimizing the performance of the AV system with two different functions under uncertainty and dynamic of surrounding e...

Complex streamflow responses to climate warming in five river basins in South Yakutia, Russia

Ping Wang, Raisa N. Shpakova

Oct 17, 2022 in Frontiers in Environmental Science


Long noncoding RNA maternally expressed gene 3 improves trophoblast dysfunction and inflammation in preeclampsia through the Wnt/β Catenin/nod like receptor pyrin domain containing 3 axis

Yue Liang, Jinlai Meng et 4 al.

Oct 14, 2022 in Frontiers in Molecular Biosciences
Inadequate trophoblastic infiltration and resulting placental hypoxia and inflammation comprise the core pathological basis of preeclampsia (PE). Maternally expressed gene 3 (MEG3) is known to be involved in the pathogenesis of preeclampsia by inhibiting the migration and invasion of trophoblasts and promoting their apoptosis. Nevertheless, the specific underlying downstream molecular mechanism of...

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