activity
20172022
most citedA Time-dependent SIR model for COVID-19 with Undetectable Infected Persons

375 citations · 398 across the 12 of their papers we have counts for

collaborators

14 papers

cs.NI2022

Using Locality-sensitive Hashing for Rendezvous Search

Guann-Yng Jiang, Cheng-Shang Chang

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 wor…

cs.NI2022

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…

cs.NI2021

A Hierarchical Stitching Algorithm for Coded Compressed Sensing

Yi-Jheng Lin, Chia-Ming Chang, Cheng-Shang Chang

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 communicat…

cs.DC20211 cited

PPoL: A Periodic Channel Hopping Sequence with Nearly Full Rendezvous Diversity

Yi-Jheng Lin, Cheng-Shang Chang

We propose a periodic channel hopping (CH) sequence, called PPoL (Packing the Pencil of Lines in a finite projective plane), for the multichannel rendezvous problem. When is…

cs.LG20207 cited

Explainable, Stable, and Scalable Graph Convolutional Networks for Learning Graph Representation

Ping-En Lu, Cheng-Shang Chang

The network embedding problem that maps nodes in a graph to vectors in Euclidean space can be very useful for addressing several important tasks on a graph. Recently, graph neural…

q-bio.PE2020375 cited

A Time-dependent SIR model for COVID-19 with Undetectable Infected Persons

Yi-Cheng Chen, Ping-En Lu, Cheng-Shang Chang +1

In this paper, we conduct mathematical and numerical analyses to address the following crucial questions for COVID-19: (Q1) Is it possible to contain COVID-19? (Q2) When will be th…