1 code implementation • ICML 2020 • Yanzhi Chen, Renjie Xie, Zhanxing Zhu
The idea is to view the inversion phase as a dynamical system, through which we extract the gradient with respect to the input by tracing its recent trajectory.
no code implementations • 7 Sep 2023 • Aoting Hu, Zhigang Lu, Renjie Xie, Minhui Xue
(2) We introduce a novel approach using less private samples to enhance the performance of ownership testing.
no code implementations • 30 Apr 2023 • Ziqing Yin, Renjie Xie, Wei Xu, Zhaohui Yang, Xiaohu You
The proposed SD-CsiNet projects the raw CSI onto a self-information matrix in the newly-defined self-information domain, extracts both temporal and spatial features of the self-information matrix, and then couples these two features for effective compression.
no code implementations • 25 Jan 2023 • Jiayuan Chen, Xiang Zhang, Yinfei Xu, Tianli Zhao, Renjie Xie, Wei Xu
Given the fixed point equation (FPE) derived from the variational inference on the Markov random fields, the deep GNNs, including JKNet, GCNII, DGCN, and the classical GNNs, such as GCN, GAT, and APPNP, can be regarded as different approximations of the FPE.
1 code implementation • 4 Aug 2022 • Renjie Xie, Wei Xu, Jiabao Yu, Aiqun Hu, Derrick Wing Kwan Ng, A. Lee Swindlehurst
Deep learning (DL) applied to a device's radio-frequency fingerprint~(RFF) has attracted significant attention in physical-layer authentication due to its extraordinary classification performance.
1 code implementation • 10 Aug 2021 • Renjie Xie, Wei Xu, Yanzhi Chen, Jiabao Yu, Aiqun Hu, Derrick Wing Kwan Ng, A. Lee Swindlehurst
To enable the discrimination of RFF from both known and unknown devices, we propose a new end-to-end deep learning framework for extracting RFFs from raw received signals.
no code implementations • 30 May 2019 • Ning Wang, Xianhan Zeng, Renjie Xie, Zefei Gao, Yi Zheng, Ziran Liao, Junyan Yang, Qiao Wang
Furthermore, we draw a series of heuristic conclusions from the intrinsic information hidden in true images.
no code implementations • 23 Feb 2019 • Renjie Xie, Yanzhi Chen, Yan Wo, Qiao Wang
Deep neural networks (DNN) have been a de facto standard for nowadays biometric recognition solutions.