8 citations · 12 across the 4 of their papers we have counts for
4 papers
A Mathematical Theory for Learning Semantic Languages by Abstract Learners
Kuo-Yu Liao, Cheng-Shang Chang, Y. -W. Peter Hong
Recent advances in Large Language Models (LLMs) have demonstrated the emergence of capabilities (learned skills) when the number of system parameters and the size of training data…
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…
On the Stability Regions of Coded Poisson Receivers with Multiple Classes of Users and Receivers
Chia-Ming Chang, Yi-Jheng Lin, Cheng-Shang Chang +1
Motivated by the need to provide differentiated quality-of-service (QoS) in grant-free uplink transmissions in 5G networks and beyond, we extend the probabilistic analysis of coded…
K-sets+: a Linear-time Clustering Algorithm for Data Points with a Sparse Similarity Measure
Cheng-Shang Chang, Chia-Tai Chang, Duan-Shin Lee +1
In this paper, we first propose a new iterative algorithm, called the K-sets+ algorithm for clustering data points in a semi-metric space, where the distance measure does not neces…