activity
20112022
most citedClustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model

3 citations · 3 across the 7 of their papers we have counts for

collaborators

14 papers

cs.IT2022

FiFo: Fishbone Forwarding in Massive IoT Networks

Hayoung Seong, Junseon Kim, Won-Yong Shin +1

Massive Internet of Things (IoT) networks have a wide range of applications, including but not limited to the rapid delivery of emergency and disaster messages. Although various be…

cs.IT2022

Transport Capacity Optimization for Resource Allocation in Tera-IoT Networks

Cheol Jeong, Chang-Jae Chun, Won-Yong Shin +1

We present a new adaptive resource optimization strategy that jointly allocates the subwindow and transmit power in multi-device terahertz (THz) band Internet of Things (Tera-IoT)…

eess.SY2021

Joint Mobile Charging and Coverage-Time Extension for Unmanned Aerial Vehicles

Soohyun Park, Won-Yong Shin, Minseok Choi +1

In modern networks, the use of drones as mobile base stations (MBSs) has been discussed for coverage flexibility. However, the realization of drone-based networks raises several is…

cs.SI2020

An Improved Approach for Estimating Social POI Boundaries With Textual Attributes on Social Media

Cong Tran, Dung D. Vu, Won-Yong Shin

It has been insufficiently explored how to perform density-based clustering by exploiting textual attributes on social media. In this paper, we aim at discovering a social point-of…

cs.IR20193 cited

Clustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model

Cong Tran, Jang-Young Kim, Won-Yong Shin +1

Giving or recommending appropriate content based on the quality of experience is the most important and challenging issue in recommender systems. As collaborative filtering (CF) is…

cs.NI2019

A Personalized Preference Learning Framework for Caching in Mobile Networks

Adeel Malik, Joongheon Kim, Kwang Soon Kim +1

This paper comprehensively studies a content-centric mobile network based on a preference learning framework, where each mobile user is equipped with a finite-size cache. We consid…