Won-Yong Shin

Won-Yong Shin

Yonsei University

H-index: 23

Asia-South Korea

About Won-Yong Shin

Won-Yong Shin, With an exceptional h-index of 23 and a recent h-index of 16 (since 2020), a distinguished researcher at Yonsei University, specializes in the field of data mining, machine learning, mobile computing, wireless networking.

His recent articles reflect a diverse array of research interests and contributions to the field:

MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation

Energy-Efficient Edge Learning via Joint Data Deepening-and-Prefetching

Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation

IM-META: Influence Maximization Using Node Metadata in Networks With Unknown Topology

Machine learning investigation of high-k metal gate processes for dynamic random access memory peripheral transistor

Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity

PAGE: prototype-based model-level explanations for graph neural networks

Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes

Won-Yong Shin Information

University

Position

Associate Professor

Citations(all)

1909

Citations(since 2020)

734

Cited By

1482

hIndex(all)

23

hIndex(since 2020)

16

i10Index(all)

58

i10Index(since 2020)

28

Email

University Profile Page

Yonsei University

Google Scholar

View Google Scholar Profile

Won-Yong Shin Skills & Research Interests

data mining

machine learning

mobile computing

wireless networking

Top articles of Won-Yong Shin

Title

Journal

Author(s)

Publication Date

MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation

Yungi Kim

Taeri Kim

Won-Yong Shin

Sang-Wook Kim

2024/3/4

Energy-Efficient Edge Learning via Joint Data Deepening-and-Prefetching

arXiv preprint arXiv:2402.11925

Sujin Kook

Won-Yong Shin

Seong-Lyun Kim

Seung-Woo Ko

2024/2/19

Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation

arXiv preprint arXiv:2404.14243

Jin-Duk Park

Yong-Min Shin

Won-Yong Shin

2024/4/22

IM-META: Influence Maximization Using Node Metadata in Networks With Unknown Topology

IEEE Transactions on Network Science and Engineering

Cong Tran

Won-Yong Shin

Andreas Spitz

2024/2/6

Machine learning investigation of high-k metal gate processes for dynamic random access memory peripheral transistor

APL Materials

Namyong Kwon

JoonHo Bang

Won Ju Sung

Jung Hoon Han

Dongin Lee

...

2024/2/1

Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity

arXiv preprint arXiv:2404.14240

Yu Hou

Jin-Duk Park

Won-Yong Shin

2024/4/22

PAGE: prototype-based model-level explanations for graph neural networks

IEEE Transactions on Pattern Analysis and Machine Intelligence

Yong-Min Shin

Sun-Woo Kim

Won-Yong Shin

2024/3/19

Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes

IEEE Transactions on Emerging Topics in Computing

Yong-Min Shin

Cong Tran

Won-Yong Shin

Xin Cao

2023/7/11

Moderate-Intensity Statin With Ezetimibe Combination Therapy vs High-Intensity Statin Monotherapy in Patients at Very High Risk of Atherosclerotic Cardiovascular Disease: A …

JAMA cardiology

Seung-Jun Lee

Jung-Joon Cha

Woong Gil Choi

Wang-Soo Lee

Jin-Ok Jeong

...

2023/9/1

Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs

arXiv preprint arXiv:2311.17781

Yong-Min Shin

Won-Yong Shin

2023/11/29

Assessment of fractional flow reserve in intermediate coronary stenosis using optical coherence tomography-based machine learning

Frontiers in Cardiovascular Medicine

Jung-Joon Cha

Ngoc-Luu Nguyen

Cong Tran

Won-Yong Shin

Seul-Gee Lee

...

2023/1/25

Continuous cuffless blood pressure monitoring using photoplethysmography-based PPG2BP-net for high intrasubject blood pressure variations

Scientific Reports

Jingon Joung

Chul-Woo Jung

Hyung-Chul Lee

Moon-Jung Chae

Hae-Sung Kim

...

2023/5/27

Method and device for completing social network using artificial neural network

2023/6/6

Sign-aware recommendation apparatus and method using graph neural network

2023/8/24

Unveiling the Unseen Potential of Graph Learning through MLPs: Effective Graph Learners Using Propagation-Embracing MLPs

arXiv preprint arXiv:2311.11759

Yong-Min Shin

Won-Yong Shin

2023/11/20

AI-Empowered Database Management Platform for New Materials Discovery for Consumer Electronics

Taeyeop Kim

JaeSeong Lee

Jaeho Song

Dongwoo Lee

Jun-Chae Na

...

2023/1/8

Node selection apparatus and method for maximizing influence using node metadata in network with unknown topology

2023/5/25

그래프 신경망 기반 다 기준 추천 시스템에서 지나친 획일화 완화

한국통신학회 학술대회논문집

Jin-Duk Park

Won-Yong Shin

2023/6

LATTE: A Framework for Learning Item-Features to Make a Domain-Expert for Effective Conversational Recommendation

Taeho Kim

Juwon Yu

Won-Yong Shin

Hyunyoung Lee

Ji-hui Im

...

2023/8/6

Sophisticated Graph Filtering for Accurate Recommendation

한국통신학회 학술대회논문집

Jin-Duk Park

Won-Yong Shin

2023/11

See List of Professors in Won-Yong Shin University(Yonsei University)

Co-Authors

H-index: 81
Muriel Medard

Muriel Medard

Massachusetts Institute of Technology

H-index: 75
Milica Stojanovic

Milica Stojanovic

Northeastern University

H-index: 42
Yong H. Lee

Yong H. Lee

KAIST

H-index: 41
Changho Suh

Changho Suh

KAIST

H-index: 36
Sae-Young Chung

Sae-Young Chung

KAIST

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