Won-Yong Shin

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 121

Top Venues

Publications

Yu Hou, Jin-Duk Park, Won-Yong Shin
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity. SIGIR (2024)
Sujin Kook, Won-Yong Shin, Seong-Lyun Kim, Seung-Woo Ko
Energy-Efficient Edge Learning via Joint Data Deepening-and-Prefetching. CoRR (2024)
Sujin Kook, Won-Yong Shin, Seong-Lyun Kim, Seung-Woo Ko
Energy-Efficient Edge Learning via Joint Data Deepening-and-Prefetching. IEEE Trans. Wirel. Commun. 23 (8) (2024)
Yong-Min Shin, Won-Yong Shin
for Graph Pruning. CoRR (2024)
Jin-Duk Park, Yong-Min Shin, Won-Yong Shin
Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation. CoRR (2024)
Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao
Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes. IEEE Trans. Emerg. Top. Comput. 12 (1) (2024)
Jeongeun Lee, Seongku Kang, Won-Yong Shin, Jeongwhan Choi, Noseong Park, Dongha Lee
Graph Signal Processing for Cross-Domain Recommendation. CoRR (2024)
Changwon Seo, Kyeong-Joong Jeong, Sungsu Lim, Won-Yong Shin
SiReN: Sign-Aware Recommendation Using Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Yungi Kim, Taeri Kim, Won-Yong Shin, Sang-Wook Kim
MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation. WSDM (2024)
Yu Hou, Jin-Duk Park, Won-Yong Shin
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity. CoRR (2024)
Cong Tran, Won-Yong Shin, Andreas Spitz
IM-META: Influence Maximization Using Node Metadata in Networks With Unknown Topology. IEEE Trans. Netw. Sci. Eng. 11 (3) (2024)
Yong-Min Shin, Siqing Li, Xin Cao, Won-Yong Shin
Revisiting Attention Weights as Interpretations of Message-Passing Neural Networks. CoRR (2024)
Jin-Duk Park, Yong-Min Shin, Won-Yong Shin
Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation. SIGIR (2024)
Yong-Min Shin, Won-Yong Shin
Unveiling the unseen potential of graph learning through MLPs: Effective graph learners using propagation-embracing MLPs. Knowl. Based Syst. 301 (2024)
Taeyeop Kim, Jaeseong Lee, Jaeho Song, Dongwoo Lee, Jun-Chae Na, Sung-Il Yang, Kyong-Jin Park, Young Jin Yoo, Juhye Lee, Won-Yong Shin
AI-Empowered Database Management Platform for New Materials Discovery for Consumer Electronics. CCNC (2023)
Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
Node Feature Augmentation Vitaminizes Network Alignment. CoRR (2023)
Yu Hou, Cong Tran, Ming Li, Won-Yong Shin
Graph Neural Network-Aided Exploratory Learning for Community Detection with Unknown Topology. CoRR (2023)
Hayoung Seong, Junseon Kim, Won-Yong Shin, Howon Lee
FiFo: Fishbone Forwarding in Massive IoT Networks. IEEE Internet Things J. 10 (5) (2023)
Taeho Kim, Juwon Yu, Won-Yong Shin, Hyunyoung Lee, Ji-Hui Im, Sang-Wook Kim
LATTE: A Framework for Learning Item-Features to Make a Domain-Expert for Effective Conversational Recommendation. KDD (2023)
Jin-Duk Park, Siqing Li, Xin Cao, Won-Yong Shin
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation. CoRR (2023)
Yong-Min Shin, Won-Yong Shin
Unveiling the Unseen Potential of Graph Learning through MLPs: Effective Graph Learners Using Propagation-Embracing MLPs. CoRR (2023)
Yong-Min Shin, Won-Yong Shin
Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs. CoRR (2023)
Sujin Kook, Won-Yong Shin, Seong-Lyun Kim, Seung-Woo Ko
Joint Data Deepening-and-Prefetching for Energy-Efficient Edge Learning. ICC (2023)
Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
On the Power of Gradual Network Alignment Using Dual-Perception Similarities. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Jin-Duk Park, Siqing Li, Xin Cao, Won-Yong Shin
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation. KDD (2023)
Yungi Kim, Taeri Kim, Won-Yong Shin, Sang-Wook Kim
MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation. CoRR (2023)
Yu Hou, Won-Yong Shin
Exploration-Aided Downstream Graph Learning Tasks: A Survey on Exploratory Graph Learning. ICTC (2023)
Dianbo Liu, Won-Yong Shin, Eli Sprecher, Kathleen Conroy, Omar Santiago, Gal Wachtel, Mauricio Santillana
Machine learning approaches to predicting no-shows in pediatric medical appointment. npj Digit. Medicine 5 (2022)
Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
Grad-Align+: Empowering Gradual Network Alignment Using Attribute Augmentation. CoRR (2022)
Yong-Min Shin, Sun-Woo Kim, Won-Yong Shin
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks. CoRR (2022)
Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
GradAlign+: Empowering Gradual Network Alignment Using Attribute Augmentation. CIKM (2022)
Yoonsuk Kang, Jun Seok Lee, Won-Yong Shin, Sang-Wook Kim
Community reinforcement: An effective and efficient preprocessing method for accurate community detection. Knowl. Based Syst. 237 (2022)
Yong-Min Shin, Sun-Woo Kim, Eun-Bi Yoon, Won-Yong Shin
Prototype-Based Explanations for Graph Neural Networks (Student Abstract). AAAI (2022)
Hyebin Kwon, Joungbin An, Dongwoo Lee, Won-Yong Shin
DATa: Domain Adaptation-Aided Deep Table Detection Using Visual-Lexical Representations. CoRR (2022)
Taeho Kim, Yungi Kim, Yeon-Chang Lee, Won-Yong Shin, Sang-Wook Kim
Is It Enough Just Looking at the Title?: Leveraging Body Text To Enrich Title Words Towards Accurate News Recommendation. CIKM (2022)
Hyebin Kwon, Joungbin An, Dongwoo Lee, Won-Yong Shin
DATa: Domain Adaptation-aided deep Table detection using visual-lexical representations. Knowl. Based Syst. 258 (2022)
Sujin Kook, Won-Yong Shin, Seong-Lyun Kim, Seung-Woo Ko
Joint Data Deepening-and-Prefetching for Energy-Efficient Edge Learning. CoRR (2022)
Hayoung Seong, Junseon Kim, Won-Yong Shin, Howon Lee
FiFo: Fishbone Forwarding in Massive IoT Networks. CoRR (2022)
Cheol Jeong, Chang-Jae Chun, Won-Yong Shin, Il-Min Kim
Transport Capacity Optimization for Resource Allocation in Tera-IoT Networks. IEEE Internet Things J. 9 (16) (2022)
Cong Tran, Won-Yong Shin, Andreas Spitz
Community Detection in Partially Observable Social Networks. ACM Trans. Knowl. Discov. Data 16 (2) (2022)
Kyeong-Joong Jeong, Jin-Duk Park, Kyusoon Hwang, Seong-Lyun Kim, Won-Yong Shin
Two-Stage Deep Anomaly Detection with Heterogeneous Time Series Data. CoRR (2022)
Yu Hou, Cong Tran, Won-Yong Shin
META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks. CoRR (2022)
Hwan Kim, Byung Suk Lee, Won-Yong Shin, Sungsu Lim
Graph Anomaly Detection With Graph Neural Networks: Current Status and Challenges. IEEE Access 10 (2022)
Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
Grad-Align: Gradual Network Alignment via Graph Neural Networks (Student Abstract). AAAI (2022)
Cheol Jeong, Chang-Jae Chun, Won-Yong Shin, Il-Min Kim
Transport Capacity Optimization for Resource Allocation in Tera-IoT Networks. CoRR (2022)
Yu Hou, Cong Tran, Won-Yong Shin
META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks. CIKM (2022)
Hwan Kim, Byung Suk Lee, Won-Yong Shin, Sungsu Lim
Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges. CoRR (2022)
Cong Tran, Won-Yong Shin, Andreas Spitz, Michael Gertz
${\sf DeepNC}$DeepNC: Deep Generative Network Completion. IEEE Trans. Pattern Anal. Mach. Intell. 44 (4) (2022)
Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
On the Power of Gradual Network Alignment Using Dual-Perception Similarities. CoRR (2022)
Kyeong-Joong Jeong, Jin-Duk Park, Kyusoon Hwang, Seong-Lyun Kim, Won-Yong Shin
Two-Stage Deep Anomaly Detection With Heterogeneous Time Series Data. IEEE Access 10 (2022)
Soobin Lee, Won-Yong Shin
Utility-Embraced Microaggregation for Machine Learning Applications. IEEE Access 10 (2022)
Hyun-Soung You, Ji-Hong Kim, Won-Yong Shin, Sang-Wook Kim
Location-Aware Caching via Predicting Heterogeneous File Preferences in Mobile Networks. PerCom Workshops (2021)
Adeel Malik, Joongheon Kim, Kwang Soon Kim, Won-Yong Shin
A Personalized Preference Learning Framework for Caching in Mobile Networks. IEEE Trans. Mob. Comput. 20 (6) (2021)
Hong-Kyun Bae, Hyung-Ook Kim, Won-Yong Shin, Sang-Wook Kim
"How to get consensus with neighbors?": Rating standardization for accurate collaborative filtering. Knowl. Based Syst. 234 (2021)
Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao
Edgeless-GNN: Unsupervised Inductive Edgeless Network Embedding. CoRR (2021)
Han Zhang, Yu Hao, Xin Cao, Yixiang Fang, Won-Yong Shin, Wei Wang
Relation Prediction via Graph Neural Network in Heterogeneous Information Networks with Missing Type Information. CIKM (2021)
Soohyun Park, Won-Yong Shin, Minseok Choi, Joongheon Kim
Joint Mobile Charging and Coverage-Time Extension for Unmanned Aerial Vehicles. CoRR (2021)
Soohyun Park, Won-Yong Shin, Minseok Choi, Joongheon Kim
Joint Mobile Charging and Coverage-Time Extension for Unmanned Aerial Vehicles. IEEE Access 9 (2021)
Woong Son, Hyunwoo Nam, Won-Yong Shin, Bang Chul Jung
Secrecy Outage Analysis of Multiuser Downlink Wiretap Networks With Potential Eavesdroppers. IEEE Syst. J. 15 (2) (2021)
Cong Tran, Won-Yong Shin
Network Completion: Beyond Matrix Completion. ICOIN (2021)
Cong Tran, Won-Yong Shin, Andreas Spitz
IM-META: Influence Maximization Using Node Metadata in Networks With Unknown Topology. CoRR (2021)
Cong Tran, Dung Do Vu, Won-Yong Shin
An improved approach for estimating social POI boundaries with textual attributes on social media. Knowl. Based Syst. 213 (2021)
Changwon Seo, Kyeong-Joong Jeong, Sungsu Lim, Won-Yong Shin
SiReN: Sign-Aware Recommendation Using Graph Neural Networks. CoRR (2021)
Huifa Lin, Kwang Soon Kim, Won-Yong Shin
Interference-Aware Opportunistic Random Access in Dense IoT Networks. IEEE Access 8 (2020)
Yoonsuk Kang, Jun Seok Lee, Won-Yong Shin, Sang-Wook Kim
CR-Graph: Community Reinforcement for Accurate Community Detection. CIKM (2020)
Jaehong Kim, Won-Yong Shin, Xin Kang, Han Lim Lee, Jingon Joung
Revisiting Information Detection and Energy Harvesting: A Power Splitting-Based Approach. Entropy 22 (12) (2020)
Cong Tran, Dung Do Vu, Won-Yong Shin
An Improved Approach for Estimating Social POI Boundaries With Textual Attributes on Social Media. CoRR (2020)
Sang Won Choi, Yong-Soo Song, Won-Yong Shin, Juyeop Kim
A Feasibility Study on Mission-Critical Push-to-Talk: Standards and Implementation Perspectives. IEEE Commun. Mag. 57 (2) (2019)
Minh D. Nguyen, Won-Yong Shin
An Improved Density-Based Approach to Spatio-Textual Clustering on Social Media. IEEE Access 7 (2019)
Cong Tran, Jang-Young Kim, Won-Yong Shin, Sang-Wook Kim
Clustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model. CoRR (2019)
Huifa Lin, Won-Yong Shin, Bang Chul Jung
Multi-Stream Opportunistic Network Decoupling: Relay Selection and Interference Management. IEEE Trans. Mob. Comput. 18 (10) (2019)
Trung-Anh Do, Sang-Woon Jeon, Won-Yong Shin
How to Cache in Mobile Hybrid IoT Networks? IEEE Access 7 (2019)
Adeel Malik, Joongheon Kim, Won-Yong Shin
A Personalized Preference Learning Framework for Caching in Mobile Networks. CoRR (2019)
Huifa Lin, Won-Yong Shin, Jingon Joung
Support Vector Machine-Based Transmit Antenna Allocation for Multiuser Communication Systems. Entropy 21 (5) (2019)
Cong Tran, Won-Yong Shin, Andreas Spitz, Michael Gertz
DeepNC: Deep Generative Network Completion. CoRR (2019)
Hoon-Geun Song, Seong Ho Chae, Won-Yong Shin, Sang-Woon Jeon
Predictive Caching via Learning Temporal Distribution of Content Requests. IEEE Commun. Lett. 23 (12) (2019)
Cong Tran, Jang-Young Kim, Won-Yong Shin, Sang-Wook Kim
Clustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model. IEEE Access 7 (2019)
Cheol Jeong, Won-Yong Shin
Network-Decomposed Hierarchical Cooperation in Ad Hoc Networks With Social Relationships. CoRR (2018)
Minh D. Nguyen, Won-Yong Shin
Improved Density-Based Spatio-Textual Clustering on Social Media. CoRR (2018)
Cong Tran, Won-Yong Shin, Sang-Il Choi
: Delineation of Imprecise Regions Using Spatio-Temporal-Textual Information. CoRR (2018)
Haksoo Kim, Juyeop Kim, Sang Won Choi, Won-Yong Shin
Revisiting Degrees of Freedom of Full-Duplex Systems with Opportunistic Transmission: An Improved User Scaling Law. Entropy 20 (3) (2018)
Sang-Il Choi, Sungsin Lee, Sang Tae Choi, Won-Yong Shin
Face Recognition Using Composite Features Based on Discriminant Analysis. IEEE Access 6 (2018)
Adeel Malik, Sung Hoon Lim, Won-Yong Shin
On the Effects of Subpacketization in Content-Centric Mobile Networks. IEEE J. Sel. Areas Commun. 36 (8) (2018)
Adeel Malik, Sung Hoon Lim, Won-Yong Shin
On the Effects of Subpacketization in Content-Centric Mobile Networks. CoRR (2018)
Sang Won Choi, Won-Yong Shin, Juyeop Kim
Linear Algebraic Beamforming Design for Multiuser MISO Interference Channels: A Reduction in Search Space Dimension. Entropy 20 (6) (2018)
Dat Vuong, Jaejin Lee, Sun K. Hong, Won-Yong Shin, Myungsik Yoo
Interpixel interference mitigation using differential coding in vehicular visible light communication based image sensor. ICOIN (2018)
Huifa Lin, Won-Yong Shin, Bang Chul Jung
Multi-Stream Opportunistic Network Decoupling: Relay Selection and Interference Management. CoRR (2018)
Cong Tran, Won-Yong Shin, Sang-Il Choi
: Delineation of Imprecise Regions Using Spatio-Temporal-Textual Information. IEEE Access 6 (2018)
Cong Tran, Won-Yong Shin, Andreas Spitz
Community Detection in Partially Observable Social Networks. CoRR (2018)
Cheol Jeong, Won-Yong Shin
Network-Decomposed Hierarchical Cooperation in Ad Hoc Networks With Social Relationships. IEEE Trans. Wirel. Commun. 17 (11) (2018)
Minh D. Nguyen, Won-Yong Shin
DBSTexC: Density-Based Spatio-Textual Clustering on Twitter. ASONAM (2017)
Huifa Lin, Won-Yong Shin
Multi-Cell-Aware Opportunistic Random Access for Machine-Type Communications. CoRR (2017)
Jangho Yoon, Won-Yong Shin, Sang-Woon Jeon
Elastic Routing in Ad Hoc Networks with Directional Antennas. IEEE Trans. Mob. Comput. 16 (12) (2017)
Woong Son, Bang Chul Jung, Won-Yong Shin, Yoan Shin
Multi-cell pseudo-random beamforming: Opportunistic feedback and beam selection. ICTC (2017)
Won-Yong Shin, Vien V. Mai, Bang Chul Jung, Hyun Jong Yang
Opportunistic Network Decoupling with Virtual Full-Duplex Operation in Multi-Source Interfering Relay Networks. IEEE Trans. Mob. Comput. 16 (8) (2017)
Huifa Lin, Won-Yong Shin
Multi-cell aware opportunistic random access. ISIT (2017)
Bang Chul Jung, Su Min Kim, Won-Yong Shin, Hyun Jong Yang
Optimal Multiuser Diversity in Multi-Cell MIMO Uplink Networks: User Scaling Law and Beamforming Design. Entropy 19 (8) (2017)
Hyun Jong Yang, Won-Yong Shin, Bang Chul Jung, Changho Suh, Arogyaswami Paulraj
Opportunistic Downlink Interference Alignment for Multi-Cell MIMO Networks. CoRR (2017)
Huifa Lin, Won-Yong Shin
Achieving the optimal throughput scaling in multi-cell random access networks. ICC (2017)
Trung-Anh Do, Sang-Woon Jeon, Won-Yong Shin
Optimal Caching in Mobile HetNets: A Throughput-Delay Trade-off Perspective. CoRR (2017)

Won-Yong Shin.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Won-Yong Shin