88 citations · 156 across the 13 of their papers we have counts for
16 papers
RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network
Chuan Ma, Jun Li, Ming Ding +4
Generative adversarial network (GAN) has attracted increasing attention recently owing to its impressive ability to generate realistic samples with high privacy protection. Without…
Binary Representaion for Non-binary LDPC Code with Decoder Design
Yang Yu, Wen Chen, Jun Li +2
The equivalent binary parity check matrices for the binary images of the cycle-free non-binary LDPC codes have numerous bit-level cycles. In this paper, we show how to transform th…
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform
Jun Li, Li Fuxin, Sinisa Todorovic
Strictly enforcing orthonormality constraints on parameter matrices has been shown advantageous in deep learning. This amounts to Riemannian optimization on the Stiefel manifold, w…
Lifelong Spectral Clustering
Gan Sun, Yang Cong, Qianqian Wang +2
In the past decades, spectral clustering (SC) has become one of the most effective clustering algorithms. However, most previous studies focus on spectral clustering tasks with a f…
LPRNet: Lightweight Deep Network by Low-rank Pointwise Residual Convolution
Bin Sun, Jun Li, Ming Shao +1
Deep learning has become popular in recent years primarily due to the powerful computing device such as GPUs. However, deploying these deep models to end-user devices, smart phones…
Federated Learning with Differential Privacy: Algorithms and Performance Analysis
Kang Wei, Jun Li, Ming Ding +6
In this paper, to effectively prevent information leakage, we propose a novel framework based on the concept of differential privacy (DP), in which artificial noises are added to t…