activity
20192021
most citedA Survey on Edge Computing Systems and Tools

338 citations · 578 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR202134 cited

SmashEx: Smashing SGX Enclaves Using Exceptions

Jinhua Cui, Jason Zhijingcheng Yu, Shweta Shinde +2

Exceptions are a commodity hardware functionality which is central to multi-tasking OSes as well as event-driven user applications. Normally, the OS assists the user application by…

cs.CV20216 cited

Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests

Siqi Wang, Guang Yu, Zhiping Cai +3

Although deep neural networks (DNNs) enable great progress in video abnormal event detection (VAD), existing solutions typically suffer from two issues: (1) The localization of vid…

cs.LG20201 cited

Deep Fusion Clustering Network

Wenxuan Tu, Sihang Zhou, Xinwang Liu +4

Deep clustering is a fundamental yet challenging task for data analysis. Recently we witness a strong tendency of combining autoencoder and graph neural networks to exploit structu…

cs.LG20209 cited

Multi-View Spectral Clustering with High-Order Optimal Neighborhood Laplacian Matrix

Weixuan Liang, Sihang Zhou, Jian Xiong +5

Multi-view spectral clustering can effectively reveal the intrinsic cluster structure among data by performing clustering on the learned optimal embedding across views. Though demo…

cs.CV2020190 cited

Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events

Guang Yu, Siqi Wang, Zhiping Cai +4

As a vital topic in media content interpretation, video anomaly detection (VAD) has made fruitful progress via deep neural network (DNN). However, existing methods usually follow a…

cs.DC2019338 cited

A Survey on Edge Computing Systems and Tools

Fang Liu, Guoming Tang, Youhuizi Li +3

Driven by the visions of Internet of Things and 5G communications, the edge computing systems integrate computing, storage and network resources at the edge of the network to provi…