Liang Xiao

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Xiamen University

Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management

Unmanned aerial vehicles (UAVs) are capable of serving as flying base st...
11/28/2020 ∙ by Helin Yang, et al. ∙ 0 ∙ share

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Sparse Coding Driven Deep Decision Tree Ensembles for Nuclear Segmentation in Digital Pathology Images

In this paper, we propose an easily trained yet powerful representation ...
08/13/2020 ∙ by Jie Song, et al. ∙ 12 ∙ share

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Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds

3D moving object detection is one of the most critical tasks in dynamic ...
05/06/2020 ∙ by Li Wang, et al. ∙ 21 ∙ share

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Eliminating NB-IoT Interference to LTE System: a Sparse Machine Learning Based Approach

Narrowband internet-of-things (NB-IoT) is a competitive 5G technology fo...
04/27/2020 ∙ by Sicong Liu, et al. ∙ 0 ∙ share

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Fast Reinforcement Learning for Anti-jamming Communications

This letter presents a fast reinforcement learning algorithm for anti-ja...
02/13/2020 ∙ by Pei-Gen Ye, et al. ∙ 0 ∙ share

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Self-supervised Domain Adaptation for Computer Vision Tasks

Recent progress of self-supervised visual representation learning has ac...
07/25/2019 ∙ by Jiaolong Xu, et al. ∙ 8 ∙ share

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Secure Mobile Crowdsensing with Deep Learning

In order to stimulate secure sensing for Internet of Things (IoT) applic...
01/23/2018 ∙ by Liang Xiao, et al. ∙ 0 ∙ share

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IoT Security Techniques Based on Machine Learning

Internet of things (IoT) that integrate a variety of devices into networ...
01/19/2018 ∙ by Liang Xiao, et al. ∙ 0 ∙ share

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Defense Against Advanced Persistent Threats in Dynamic Cloud Storage: A Colonel Blotto Game Approach

Advanced Persistent Threat (APT) attackers apply multiple sophisticated ...
01/19/2018 ∙ by Minghui Min, et al. ∙ 0 ∙ share

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Security in Mobile Edge Caching with Reinforcement Learning

Mobile edge computing usually uses cache to support multimedia contents ...
01/18/2018 ∙ by Liang Xiao, et al. ∙ 0 ∙ share

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Learning-Based Computation Offloading for IoT Devices with Energy Harvesting

Internet of Things (IoT) devices can apply mobile-edge computing (MEC) a...
12/23/2017 ∙ by Minghui Min, et al. ∙ 0 ∙ share

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Two-dimensional Anti-jamming Mobile Communication Based on Reinforcement Learning

By using smart radio devices, a jammer can dynamically change its jammin...
12/19/2017 ∙ by Liang Xiao, et al. ∙ 0 ∙ share

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Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning

Long Short-Term Memory (LSTM) is a popular approach to boosting the abil...
11/05/2017 ∙ by Zhen He, et al. ∙ 0 ∙ share

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Liang Xiao

Featured Co-authors

H. Vincent Poor

Jun Zhao

Li Wang

Xiaojiang Du

Mohsen Guizani

Zhu Han

Xiang Chen

Di Wu

Zehui Xiong

Xin Xu

David Barber

Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management

Sparse Coding Driven Deep Decision Tree Ensembles for Nuclear Segmentation in Digital Pathology Images

Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds

Eliminating NB-IoT Interference to LTE System: a Sparse Machine Learning Based Approach

Fast Reinforcement Learning for Anti-jamming Communications

Self-supervised Domain Adaptation for Computer Vision Tasks

Secure Mobile Crowdsensing with Deep Learning

IoT Security Techniques Based on Machine Learning

Defense Against Advanced Persistent Threats in Dynamic Cloud Storage: A Colonel Blotto Game Approach

Security in Mobile Edge Caching with Reinforcement Learning

Learning-Based Computation Offloading for IoT Devices with Energy Harvesting

Two-dimensional Anti-jamming Mobile Communication Based on Reinforcement Learning

Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning