Liang Xiao

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Xiamen University

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

Xiaojiang Du

Mohsen Guizani

Li Wang

Zhu Han

Xiang Chen

Di Wu

David Barber

Antonio M. Lopez

Xin Xu

Jie Song

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