Zobrazeno 1 - 10
of 207
pro vyhledávání: '"Chang, Cheng-Shang"'
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 (CPRs). We use density evolution equations to track the packet decodi
Externí odkaz:
http://arxiv.org/abs/2404.15756
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 surpass certain thresholds. The exact mechanisms behind such phenomena
Externí odkaz:
http://arxiv.org/abs/2404.07009
Autor:
Chen, Po-Lin, Chang, Cheng-Shang
This research paper delves into the integration of OpenAI's ChatGPT into embodied agent systems, evaluating its influence on interactive decision-making benchmark. Drawing a parallel to the concept of people assuming roles according to their unique s
Externí odkaz:
http://arxiv.org/abs/2308.01552
Autor:
Chang, Cheng-Shang
Various recent experimental results show that large language models (LLM) exhibit emergent abilities that are not present in small models. System performance is greatly improved after passing a certain critical threshold of scale. In this letter, we
Externí odkaz:
http://arxiv.org/abs/2303.13112
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 approximation, we derive a system of differential equations for this model.
Externí odkaz:
http://arxiv.org/abs/2212.09093
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 selected edge are independent. In the paper, we take one step further an
Externí odkaz:
http://arxiv.org/abs/2211.07085
Autor:
Jiang, Guann-Yng, Chang, Cheng-Shang
The multichannel rendezvous problem is a fundamental problem for neighbor discovery in many IoT applications. The existing works in the literature focus mostly on improving the worst-case performance, and the average-case performance is often not as
Externí odkaz:
http://arxiv.org/abs/2210.17203
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 grant-based region. Frequencies in the grant-based region can only be used
Externí odkaz:
http://arxiv.org/abs/2209.03664
Recently, a novel coded compressed sensing (CCS) approach was proposed in [1] for dealing with the scalability problem for large sensing matrices in massive machine-type communications. The approach is to divide the compressed sensing (CS) problem in
Externí odkaz:
http://arxiv.org/abs/2108.13760
In this paper we present a generalized configuration model with random triadic closure (GCTC). This model possesses five fundamental properties: large clustering coefficient, power law degree distribution, short path length, non-zero Pearson degree c
Externí odkaz:
http://arxiv.org/abs/2105.11688