1 citations · 1 across the 7 of their papers we have counts for
7 papers
Featureless Wireless Communications using Enhanced Autoencoder
Ruhui Zhang, Wei Lin, Binbin Chen
Artificial intelligence (AI) techniques, particularly autoencoders (AEs), have gained significant attention in wireless communication systems. This paper investigates using an AE t…
Semantic-guided Representation Learning for Multi-Label Recognition
Ruhui Zhang, Hezhe Qiao, Pengcheng Xu +2
Multi-label Recognition (MLR) involves assigning multiple labels to each data instance in an image, offering advantages over single-label classification in complex scenarios. Howev…
Convolutional Coded Poisson Receivers
Cheng-En Lee, Kuo-Yu Liao, Hsiao-Wen Yu +3
In this paper, we present a framework for convolutional coded Poisson receivers (CCPRs) that incorporates spatially coupled methods into the architecture of coded Poisson receivers…
A Degree Based Approximation of an SIR Model with Contact Tracing and Isolation
Duan-Shin Lee, Ting-Zhe Liu, Ruhui Zhang +1
In this paper we study a susceptible infectious recovered (SIR) model with asymptomatic patients, contact tracing and isolation on a configuration network. Using degree based appro…
Degree-degree Correlated Low-density Parity-check Codes Over a Binary Erasure Channel
Hsiao-Wen Yu, Cheng-En Lee, Ruhui Zhang +2
Most existing works on analyzing the performance of a random ensemble of low-density parity-check (LDPC) codes assume that the degree distributions of the two ends of a randomly se…
Resource Allocation for URLLC and eMBB Traffic in Uplink Wireless Networks
Duan-Shin Lee, Cheng-Shang Chang, Ruhui Zhang +1
In this paper we consider two resource allocation problems of URLLC traffic and eMBB traffic in uplink 5G networks. We propose to divide frequencies into a common region and a gran…
A generalized configuration model with triadic closure
Ruhui Chang, Duan-Shin Lee, Cheng-Shang Chang
In this paper we present a generalized configuration model with random triadic closure (GCTC). This model possesses five fundamental properties: large clustering coefficient, power…