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BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite Images


May 16, 2021
Yu Shen, Sijie Zhu, Taojiannan Yang, Chen Chen, Delu Pan, Jianyu Chen, Liang Xiao, Qian Du

* arXiv admin note: text overlap with arXiv:2010.14014 

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Trajectory Prediction for Autonomous Driving with Topometric Map


May 09, 2021
Jiaolong Xu, Liang Xiao, Dawei Zhao, Yiming Nie, Bin Dai


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Attentional Graph Neural Network for Parking-slot Detection


Apr 06, 2021
Chen Min, Jiaolong Xu, Liang Xiao, Dawei Zhao, Yiming Nie, Bin Dai

* IEEE Robotics and Automation Letters, vol.6, pp. 3445-3450, 2021 
* Accepted by RAL 

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


Nov 28, 2020
Helin Yang, Jun Zhao, Zehui Xiong, Kwok-Yan Lam, Sumei Sun, Liang Xiao


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


Aug 13, 2020
Jie Song, Liang Xiao, Mohsen Molaei, Zhichao Lian

* Submitted to IEEE Transactions on Image Processing 

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Efficient Deep Learning of Non-local Features for Hyperspectral Image Classification


Aug 02, 2020
Yu Shen, Sijie Zhu, Chen Chen, Qian Du, Liang Xiao, Jianyu Chen, Delu Pan


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


May 06, 2020
Li Wang, Dawei Zhao, Tao Wu, Hao Fu, Zhiyu Wang, Liang Xiao, Xin Xu, Bin Dai


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Fast Reinforcement Learning for Anti-jamming Communications


Feb 13, 2020
Pei-Gen Ye, Yuan-Gen Wang, Jin Li, Liang Xiao


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Self-supervised Domain Adaptation for Computer Vision Tasks


Jul 25, 2019
Jiaolong Xu, Liang Xiao, Antonio M. Lopez


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Secure Mobile Crowdsensing with Deep Learning


Jan 23, 2018
Liang Xiao, Donghua Jiang, Dongjin Xu, Ning An

* 7 pages, 5 figures 

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


Dec 19, 2017
Liang Xiao, Guoan Han, Donghua Jiang, Hongzi Zhu, Yanyong Zhang, H. Vincent Poor


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


Dec 13, 2017
Zhen He, Shaobing Gao, Liang Xiao, Daxue Liu, Hangen He, David Barber

* Accepted by NIPS 2017 

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