no code implementations • 28 Apr 2024 • Zesheng Hong, Yubiao Yue, Yubin Chen, Huanjie Lin, Yuanmei Luo, Mini Han Wang, Weidong Wang, Jialong Xu, Xiaoqi Yang, Zhenzhang Li, Sihong Xie
Recently, research has explored various out-of-distribution (OOD) detection situations and techniques to enable a trustworthy medical AI system.
Out-of-Distribution Detection Out of Distribution (OOD) Detection
no code implementations • 3 Jan 2024 • Shusen Cai, Li Chen, Yunfei Chen, Huarui Yin, Weidong Wang
In Stage 1, differing from the traditional PF-based methods, the proposed PF-assisted method is utilized to capture the angle of arrival (AoA) of principal components (PC) of channels.
no code implementations • 14 Nov 2023 • Weidong Wang, Hongshu Liao, Lu Gan
Deep neural networks have been widely used in communication signal recognition and achieved remarkable performance, but this superiority typically depends on using massive examples for supervised learning, whereas training a deep neural network on small datasets with few labels generally falls into overfitting, resulting in degenerated performance.
no code implementations • 24 Jun 2023 • Weidong Wang, Hongshu Liao, Lu Gan
Deep learning has been widely used in radio frequency (RF) fingerprinting.
no code implementations • 24 Jun 2023 • Weidong Wang, Jiancheng An, Hongshu Liao, Lu Gan, Chau Yuen
Experimental results with extensive simulations demonstrate that our proposed GAN framework can effectively learn transmitter characteristics and various channel effects, thus accurately modeling for an underlying sampling distribution to synthesize radio signals of high quality.
no code implementations • 28 Apr 2023 • Weidong Wang, Cheng Luo, Jiancheng An, Lu Gan, Hongshu Liao, Chau Yuen
As a promising non-password authentication technology, radio frequency (RF) fingerprinting can greatly improve wireless security.
no code implementations • 19 Sep 2022 • Changli Li, Zheng Han, Yange Li, Ming Li, Weidong Wang
To show the performance of the RC-ESN model, we also provide a sensitivity analysis of the prediction accuracy concerning the key parameters including training set size, reservoir size, and spectral radius.
no code implementations • 14 Apr 2022 • Li Chen, Rongjiang Nie, Yunfei Chen, Weidong Wang
The results reveal that the estimation errors of mismatch coefficients of digital and analog chains are uncorrelated, and that the mismatch coefficients of receive digital chains can be estimated perfectly.
no code implementations • 25 Jan 2021 • Rui Sun, Weidong Wang, Li Chen, Guo Wei, Wenyi Zhang
Millimeter-wave (mmWave) communication systems rely on large-scale antenna arrays to combat large path-loss at mmWave band.
1 code implementation • 11 Jan 2021 • Rui Sun, Weidong Wang, Li Chen, Guo Wei, Wenyi Zhang
In the second case where only partial CSI is available, we jointly exploit the sparsity of the millimeter-wave channel and the failure, and adopt compressed sparse and low-rank matrix recovery algorithm to decouple channel and failure.
no code implementations • 6 Jun 2020 • Xin Hu, Zhijun Liu, You Li, Lexi Xu, Sun Zhang, Qinlong Li, Jia Hu, WenHua Chen, Weidong Wang, Mohamed Helaoui, Fadhel M. Ghannouchi
In this work, a low complexity, general architecture based on the deep real-valued convolutional neural network (DRVCNN) is proposed to build the nonlinear behavior of the power amplifier.
no code implementations • 20 May 2020 • Xin Hu, Zhijun Liu, Xiaofei Yu, Yulong Zhao, WenHua Chen, Biao Hu, Xuekun Du, Xiang Li, Mohamed Helaoui, Weidong Wang, Fadhel M. Ghannouchi
We design a pre-designed filter using the convolutional layer to extract the basis functions required for the PA forward or reverse modeling.
no code implementations • 1 Nov 2019 • Fan Ang, Li Chen, Nan Zhao, Yunfei Chen, Weidong Wang, F. Richard Yu
Nevertheless, it is impractical to achieve a perfect acquisition of the local models in wireless communication due to noise, which also brings serious effects on federated learning.
no code implementations • 15 Jun 2019 • Tianjie Mu, Xiaohui Chen, Li Chen, Huarui Yin, Weidong Wang
Deep Learning has been widely applied in the area of image processing and natural language processing.
Information Theory Signal Processing Information Theory