3 papers
cs.LG2026
Lightweight Adaptive ReduNet via Hyperspherical Manifold Learning
Zhenglin Huang, Qifa Yan, Bin Dai +1
In recent years, a white-box neural network called ReduNet has been proposed, which employs the maximal coding rate reduction (MCR) principle to transform raw data into low-dim…
cs.IT2025
A Simple but Accurate Approximation for Multivariate Gaussian Rate-Distortion Function and Its Application in Maximal Coding Rate Reduction
Zhenglin Huang, Qifa Yan, Bin Dai +1
The multivariate Gaussian rate-distortion (RD) function is crucial in various applications, such as digital communications, data storage, or neural networks. However, the complex f…
cs.IT2017
Finite State Multiple-Access Wiretap Channel with Delayed Feedback
Bin Dai, Zheng Ma, Ming Xiao +2
Recently, it has been shown that the time-varying multiple-access channel (MAC) with perfect channel state information (CSI) at the receiver and delayed feedback CSI at the transmi…