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20082025
most citedDetect overlapping and hierarchical community structure in networks

733 citations · 2.4k across the 107 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

cs.CV2020★ 3 cited

Learning content and context with language bias for Visual Question Answering

Chao Yang, Su Feng, Dongsheng Li +3

Visual Question Answering (VQA) is a challenging multimodal task to answer questions about an image. Many works concentrate on how to reduce language bias which makes models answer…

cs.CV2020★ 3 cited

PPGN: Phrase-Guided Proposal Generation Network For Referring Expression Comprehension

Chao Yang, Guoqing Wang, Dongsheng Li +3

Reference expression comprehension (REC) aims to find the location that the phrase refer to in a given image. Proposal generation and proposal representation are two effective tech…

cs.LG2020★ 2 cited

Slimmable Generative Adversarial Networks

Liang Hou, Zehuan Yuan, Lei Huang +3

Generative adversarial networks (GANs) have achieved remarkable progress in recent years, but the continuously growing scale of models makes them challenging to deploy widely in pr…

cs.DB2020★ 1 cited

AugSplicing: Synchronized Behavior Detection in Streaming Tensors

Jiabao Zhang, Shenghua Liu, Wenting Hou +4

How can we track synchronized behavior in a stream of time-stamped tuples, such as mobile devices installing and uninstalling applications in the lockstep, to boost their ranks in…

cs.SI2020

How Medical Crowdfunding Helps People? A Large-scale Case Study on Waterdrop Fundraising

Junjie Huang, Huawei Shen, Qi Cao +2

While online medical crowdfunding achieved tremendous success, quantitative study about whether and how medical crowdfunding helps people remains little explored. In this paper, we…

cs.SI2020

Summarizing graphs using the configuration model

Houquan Zhou, Shenghua Liu, Kyuhan Lee +3

Given a large graph, how can we summarize it with fewer nodes and edges while maintaining its key properties, such as spectral property? Although graphs play more and more importan…