19 citations · 69 across the 20 of their papers we have counts for
4 papers · 1 filter
A Reinforcement Learning Approach for the Multichannel Rendezvous Problem
Jen-Hung Wang, Ping-En Lu, Cheng-Shang Chang +1
In this paper, we consider the multichannel rendezvous problem in cognitive radio networks (CRNs) where the probability that two users hopping on the same channel have a successful…
ETTR Bounds and Approximation Solutions of Blind Rendezvous Policies in Cognitive Radio Networks with Random Channel States
Cheng-Shang Chang, Duan-Shin Lee, Yu-Lun Lin +1
In this paper, we consider the multichannel rendezvous problem in cognitive radio networks (CRNs) where the probability that two users hopping on the same channel have a successful…
Generalized Modularity Embedding: a General Framework for Network Embedding
Cheng-Shang Chang, Ching-Chu Huang, Chia-Tai Chang +2
The network embedding problem aims to map nodes that are similar to each other to vectors in a Euclidean space that are close to each other. Like centrality analysis (ranking) and…
Percolation Threshold for Competitive Influence in Random Networks
Yu-Hsien Peng, Ping-En Lu, Cheng-Shang Chang +1
In this paper, we propose a new averaging model for modeling the competitive influence of candidates among voters in an election process. For such an influence propagation…