Baoyu Jing | DeepAI

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Featured Co-authors

Xi Chen
293 publications
Yu Chen
160 publications
Eric P Xing
147 publications
Tao Yang
80 publications
Eric Xing
70 publications
Fuzhen Zhuang
63 publications
Pengtao Xie
59 publications
Wei Fan
57 publications
Hanghang Tong
55 publications
Chanyoung Park
41 publications
Yang Ni
21 publications

∙ 05/17/2023

Characterizing Long-Tail Categories on Graphs

Long-tail data distributions are prevalent in many real-world networks, ...

0 Haohui Wang, et al. ∙

∙ 09/27/2022

Retrieval Based Time Series Forecasting

Time series data appears in a variety of applications such as smart tran...

0 Baoyu Jing, et al. ∙

∙ 08/15/2022

ARIEL: Adversarial Graph Contrastive Learning

Contrastive learning is an effective unsupervised method in graph repres...

0 Shengyu Feng, et al. ∙

∙ 05/31/2022

COIN: Co-Cluster Infomax for Bipartite Graphs

Bipartite graphs are powerful data structures to model interactions betw...

0 Baoyu Jing, et al. ∙

∙ 02/14/2022

Adversarial Graph Contrastive Learning with Information Regularization

Contrastive learning is an effective unsupervised method in graph repres...

0 Shengyu Feng, et al. ∙

∙ 10/28/2021

Graph Communal Contrastive Learning

Graph representation learning is crucial for many real-world application...

0 Bolian Li, et al. ∙

∙ 09/08/2021

Graph-MVP: Multi-View Prototypical Contrastive Learning for Multiplex Graphs

Contrastive Learning (CL) is one of the most popular self-supervised lea...

0 Baoyu Jing, et al. ∙

∙ 08/29/2021

Multiplex Graph Neural Network for Extractive Text Summarization

Extractive text summarization aims at extracting the most representative...

21 Baoyu Jing, et al. ∙

∙ 02/15/2021

HDMI: High-order Deep Multiplex Infomax

Networks have been widely used to represent the relations between object...

0 Baoyu Jing, et al. ∙

∙ 02/15/2021

Network of Tensor Time Series

Co-evolving time series appears in a multitude of applications such as e...

0 Baoyu Jing, et al. ∙

∙ 05/22/2020

SODA: Detecting Covid-19 in Chest X-rays with Semi-supervised Open Set Domain Adaptation

The global pandemic of COVID-19 has infected millions of people since it...

0 Jieli Zhou, et al. ∙

∙ 04/26/2020

Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports

Chest X-Ray (CXR) images are commonly used for clinical screening and di...

4 Baoyu Jing, et al. ∙

∙ 05/28/2019

Adversarial Domain Adaptation Being Aware of Class Relationships

Adversarial training is a useful approach to promote the learning of tra...

1 Zeya Wang, et al. ∙

∙ 09/16/2018

Cross-Domain Labeled LDA for Cross-Domain Text Classification

Cross-domain text classification aims at building a classifier for a tar...

0 Baoyu Jing, et al. ∙

∙ 11/22/2017

On the Automatic Generation of Medical Imaging Reports

Medical imaging is widely used in clinical practice for diagnosis and tr...

0 Baoyu Jing, et al. ∙

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