activity
20162019
most citedSecurity modeling and efficient computation offloading for service workflow in mobile edge computing

102 citations · 197 across the 7 of their papers we have counts for

collaborators

9 papers

cs.DC2019102 cited

Security modeling and efficient computation offloading for service workflow in mobile edge computing

Binbin Huang, Zhongjin Lia, Peng Tang +5

It is a big challenge for resource-limited mobile devices (MDs) to execute various complex and energy-consumed mobile applications. Fortunately, as a novel computing paradigm, edge…

cs.LG20172 cited

Learning Approximate Stochastic Transition Models

Yuhang Song, Christopher Grimm, Xianming Wang +1

We examine the problem of learning mappings from state to state, suitable for use in a model-based reinforcement-learning setting, that simultaneously generalize to novel states an…

cs.CV2017

Foreground Detection in Camouflaged Scenes

Shuai Li, Dinei Florencio, Yaqin Zhao +2

Foreground detection has been widely studied for decades due to its importance in many practical applications. Most of the existing methods assume foreground and background show vi…

cs.CV201728 cited

Skeleton-based Action Recognition Using LSTM and CNN

Chuankun Li, Pichao Wang, Shuang Wang +2

Recent methods based on 3D skeleton data have achieved outstanding performance due to its conciseness, robustness, and view-independent representation. With the development of deep…

cs.CV20171 cited

A Fully Trainable Network with RNN-based Pooling

Shuai Li, Wanqing Li, Chris Cook +2

Pooling is an important component in convolutional neural networks (CNNs) for aggregating features and reducing computational burden. Compared with other components such as convolu…

cs.CV201764 cited

Joint Geometrical and Statistical Alignment for Visual Domain Adaptation

Jing Zhang, Wanqing Li, Philip Ogunbona

This paper presents a novel unsupervised domain adaptation method for cross-domain visual recognition. We propose a unified framework that reduces the shift between domains both st…