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KangYoon Lee

Professor

Gachon University

South Korea

Research Interests

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Professors in South Korea

About

KangYoon Lee is a Professor at Gachon University, South Korea. His research areas encompass misinformation detection in online social networks, personalized risk prediction in psychiatric wards using AI, and advanced deep learning models for propaganda detection. He has also contributed to medical AI applications, including generative adversarial network-driven systems for post-TAVR procedures and comprehensive symptom prediction in psychiatric patients.

Articles (33)

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Collaborators (11)

Wazir Muhammad

Associate Professor

Florida Atlantic University

UNITED STATES

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Mahmood Hussain Shah

Senior Lecturer in e-Business

Coventry University

UNITED KINGDOM

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Noman Shabbir

Researcher

Tallinn University of Technology

ESTONIA

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Seongjoo Lee

Sejong University

SOUTH KOREA

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Muhammad Waqas Arshad

Associate Researcher

Purdue University Fort Wayne

UNITED STATES

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Hyunju Lee

Assistant professor

Seoul National University

SOUTH KOREA

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Hyunjeong "Spring" Han

Professor

Kyoto University

JAPAN

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Hyekyung Woo

Kongju National University

SOUTH KOREA

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Lilia Tightiz

Assistant professor

Gachon University

SOUTH KOREA

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Syed Rizwan Hassan

Gachon University

SOUTH KOREA

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David Liu

Associate Professor

Purdue University Fort Wayne

UNITED STATES

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KangYoon Lee

Research Interests

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About

Articles (33)

Misinformation detection on online social networks using pretrained language models

A Semantic Risk-Aware Optimization Framework for Virtual Power Plant Dispatch Using Large Language Models

Sensors-Driven Multimodal Deepfake Detection: A Cross-Attention Fusion Approach with Adaptive Modality Gating

CAGE-QMol: A Constraint-Aware Quantum-Inspired Optimization Framework for Brain-Penetrant Multi-Target Alzheimer’s Drug Discovery

Image-Driven Multimodal Deep Learning for Skin Cancer Diagnosis: Cross-Attention Fusion of Dermoscopic Imaging Clinical Data and Knowledge Graphs

Decoding customer experiences on meal delivery apps: A cross-platform text-mining analysis of online reviews through the lens of service psychology theories

Categorizing customer perceptions of sustainable product packaging: Analyzing online reviews using large language models

AI-Augmented self-presentation and emotional outcomes on Instagram: A social comparison perspective using an affective hybrid intelligence lens

BitLoRA: Quantization-Compatible Adapter Tuning for 1.58-bit LLM in Federated On-Device AI-Agent

FedTFT: Federated Temporal Fusion Transformer for Interpretable Multi-Horizon Psychiatric Risk Prediction Across Cross-Silo Hospitals

AI-based personalized real-time risk prediction for behavioral management in psychiatric wards using multimodal data

Enhanced Propaganda Detection in Public Social Media Discussions Using a Fine-Tuned Deep Learning Model: A Diffusion of Innovation Perspective

Trustworthy TAVR navigator system, I: A generative adversarial network-driven medical twin approach for Post-TAVR pacemaker implantation prediction

Optimizing slogan classification in ubiquitous learning environment: A hierarchical multilabel approach with fuzzy neural networks

Federated Learning Lifecycle Management for Distributed Medical Artificial Intelligence Applications: A Case Study on Post-Transcatheter Aortic Valve Replacement Complication Prediction Solution

ACMFed: Fair Semi-Supervised Federated Learning With Additional Compromise Model

Navigating negative events: the role of online destination brand experience in tourists' travel decisions

Multicenter Analysis of Emergency Patient Severity through Local Model Evaluation Client Selection: Optimizing Client Selection Based on Local Model Evaluation

FedOps: A Platform of Federated Learning Operations With Heterogeneity Management

Correction: Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study

Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study

Inclusive advertising featuring disability on instagram: Effect on consumer well-being, brand engagement, and purchase intention

Federated Learning for Clinical Event Classification Using Vital Signs Data

Customers' dining choice using meal ordering apps: insights from China and Indonesia

A Review on Electronic Health Record Text-Mining for Biomedical Name Entity Recognition in Healthcare Domain

Investigating the effect of service feedback and physician popularity on physician demand in the virtual healthcare environment

FLScalize: Federated Learning Lifecycle Management Platform

Web-based Non-contact Edge Computing Solution for Suspected COVID-19 Infection Classification Model

Enhancing Privacy-Preserving Personal Identification Through Federated Learning With Multimodal Vital Signs Data

Examining the Determinants of Patient Perception of Physician Review Helpfulness across Different Disease Severities: A Machine Learning Approach

Exploring Readiness for Birth Control in Improving Women Health Status: Factors Influencing the Adoption of Modern Contraceptives Methods for Family Planning Practices

Examining Different Factors in Web-Based Patients’ Decision-Making Process: Systematic Review on Digital Platforms for Clinical Decision Support System

Effective Time, Frequency, and Sidelink Synchronization for Cellular Device-to-Device Communications

Collaborators (11)

Wazir Muhammad

Mahmood Hussain Shah

Noman Shabbir

Seongjoo Lee

Muhammad Waqas Arshad

Hyunju Lee

Hyunjeong "Spring" Han

Hyekyung Woo

Lilia Tightiz

Syed Rizwan Hassan

David Liu

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