3 citations · 7 across the 9 of their papers we have counts for
9 papers
Revisiting Black-Box Model Ownership Verification through Information Theory
Aoting Hu, Yanzhi Chen, Renjie Xie +2
Modern machine learning models require substantial computational resources and data to train, making them valuable intellectual property. Model watermarking has emerged as a practi…
Self-information Domain-based Neural CSI Compression with Feature Coupling
Ziqing Yin, Renjie Xie, Wei Xu +2
Deep learning (DL)-based channel state information (CSI) feedback methods compressed the CSI matrix by exploiting its delay and angle features straightforwardly, while the measure…
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective
Jiayuan Chen, Xiang Zhang, Yinfei Xu +3
Recently, graph-based models designed for downstream tasks have significantly advanced research on graph neural networks (GNNs). GNN baselines based on neural message-passing mecha…
Disentangled Representation Learning for RF Fingerprint Extraction under Unknown Channel Statistics
Renjie Xie, Wei Xu, Jiabao Yu +3
Deep learning (DL) applied to a device's radio-frequency fingerprint~(RFF) has attracted significant attention in physical-layer authentication due to its extraordinary classificat…
Deep CSI Compression for Massive MIMO: A Self-information Model-driven Neural Network
Ziqing Yin, Wei Xu, Renjie Xie +3
In order to fully exploit the advantages of massive multiple-input multiple-output (mMIMO), it is critical for the transmitter to accurately acquire the channel state information (…
A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication
Renjie Xie, Wei Xu, Yanzhi Chen +4
Radio-frequency fingerprints~(RFFs) are promising solutions for realizing low-cost physical layer authentication. Machine learning-based methods have been proposed for RFF extracti…
TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing
Aoting Hu, Renjie Xie, Zhigang Lu +2
Generative Adversarial Networks (GAN)-synthesized table publishing lets people privately learn insights without access to the private table. However, existing studies on Membership…
Unsupervised Classification of Street Architectures Based on InfoGAN
Ning Wang, Xianhan Zeng, Renjie Xie +5
Street architectures play an essential role in city image and streetscape analysing. However, existing approaches are all supervised which require costly labeled data. To solve thi…
A Deep, Information-theoretic Framework for Robust Biometric Recognition
Renjie Xie, Yanzhi Chen, Yan Wo +1
Deep neural networks (DNN) have been a de facto standard for nowadays biometric recognition solutions. A serious, but still overlooked problem in these DNN-based recognition system…