no code implementations • 5 Mar 2023 • Xiao Tang, Sicong Liu, Xiaojiang Du, Mohsen Guizani
Massive random access of devices in the emerging Open Radio Access Network (O-RAN) brings great challenge to the access control and management.
no code implementations • 17 Jul 2022 • Jialiang Dong, zhitao Guan, Longfei Wu, Zijian Zhang, Xiaojiang Du
These properties may have certain relationships with the word saliency, which is of great help for studying the explainability of the model predictions.
no code implementations • 18 Apr 2022 • Wenti Yang, Naiyu Wang, zhitao Guan, Longfei Wu, Xiaojiang Du, Mohsen Guizani
The concept of federated learning (FL) was first proposed by Google in 2016.
no code implementations • 27 Nov 2020 • Meng Shen, Hao Yu, Liehuang Zhu, Ke Xu, Qi Li, Xiaojiang Du
Deep neural networks (DNNs) have been increasingly used in face recognition (FR) systems.
no code implementations • 22 Oct 2020 • Bin Li, Xianzhen Guo, Ruonan Zhang, Xiaojiang Du, Mohsen Guizani
A modified three-dimensional Markov chain model adopting the quitting probability and cluster division is developed for the performance analysis.
Information Theory Information Theory
no code implementations • 26 Feb 2019 • Xu Kang, Bin Song, Jie Guo, Xiaojiang Du, Mohsen Guizani
In recent years, with the development of the marine industry, navigation environment becomes more complicated.
no code implementations • 13 Feb 2019 • Yinghua Li, Bin Song, Jie Guo, Xiaojiang Du, Mohsen Guizani
The sparsity and self-similarity of the image blocks are taken as the constraints.
no code implementations • 13 Feb 2019 • Sijia Chen, Bin Song, Xiaojiang Du, Nadra Guizani
Deep Models, typically Deep neural networks, have millions of parameters, analyze medical data accurately, yet in a time-consuming method.
no code implementations • 13 Feb 2019 • Junmei Lv, Bin Song, Jie Guo, Xiaojiang Du, Mohsen Guizani
Specifically, the Multimodal IRIS model consists of three modules, i. e., multimodal feature learning module, the Interest-Related Network (IRN) module and item similarity recommendation module.
no code implementations • 12 Feb 2019 • Xiaolei Liu, Xiaojiang Du, Xiaosong Zhang, Qingxin Zhu, Mohsen Guizani
An automated testing framework is needed to help these learning-based malware detection systems for IoT devices perform security analysis.
no code implementations • 12 Feb 2019 • Dongliang Xu, Bailing Wang, XiaoJiang Du, Xiaoyan Zhu, zhitao Guan, Xiaoyan Yu, Jingyu Liu
However, the advantages of convolutional neural networks depend on the data used by the training classifier, particularly the size of the training set.
no code implementations • 29 Oct 2018 • Yue Zhang, Fang Tian, Bin Song, Xiaojiang Du
Internet of vehicles is a promising area related to D2D communication and internet of things.
no code implementations • 8 Oct 2018 • Meng Shen, Zelin Liao, Liehuang Zhu, Rashid Mijumbi, Xiaojiang Du, Jiankun Hu
Face liveness detection has become a widely used technique with a growing importance in various authentication scenarios to withstand spoofing attacks.
Cryptography and Security
no code implementations • 29 Jul 2018 • Mohammed Ali Al-Garadi, Amr Mohamed, Abdulla Al-Ali, Xiaojiang Du, Mohsen Guizani
Consequently, ML/DL methods are important in transforming the security of IoT systems from merely facilitating secure communication between devices to security-based intelligence systems.
no code implementations • 6 Apr 2018 • Xi Chen, Zonghang Li, Yupeng Zhang, Ruiming Long, Hongfang Yu, Xiaojiang Du, Mohsen Guizani
With the ever growing diversity of devices and applications that will be connected to 5G networks, flexible and agile service orchestration with acknowledged QoE that satisfies end-user's functional and QoS requirements is necessary.
no code implementations • 5 Apr 2018 • Sijia Chen, Bin Song, Jie Guo, Xiaojiang Du, Mohsen Guizani
The Localization of the target object for data retrieval is a key issue in the Intelligent and Connected Transportation Systems (ICTS).