Open API and System of Short Messaging, Payment, Account Management Based on RESTful Web Services. - Sunhwan Lim; Jaeyong Lee 001; Byungchul Kim (ACN, 2011)

Method of application driven QoS service in open service platform based on RESTful web services. - Sunhwan Lim; ChangSup Keum (ICTC, 2014)

Method of Intelligent Docent Service in Self-Learnable IoT Common Software Engine using Abstraction Technology. - Sunhwan Lim; Donghwan Park (ICTC, 2018)

Design of SW Framework for Trustworthy AI-Data Commons. - Sunhwan Lim; Young-Ho Suh; Donghwan Park; Sung-Pil Woo; Chanwon Park (ICTC, 2020)

Artificial Intelligence-Enabled Data Value Curation on AI-Data Commons. - Boyun Eom; Sunhwan Lim; Young-Ho Suh; Sungpil Woo; Donghwan Park; Chanwon Park (ICTC, 2021)

PCI Workplace: A decentralized collaboration framework for AI based problem-solving. - Young-Ho Suh; Sungpil Woo; Boyun Eom; Dong-Hwan Park; Sunhwan Lim; Chanwon Park (ICTC, 2021)

Metadata Modeling and Operation Flow of Problem Solving Ecosystem for ECG Data Engineering and Arrhythmia Diagnosis. - Sungpil Woo; Young-Ho Suh; Muhammad Zubair 006; Boyun Eom; Dong-Hwan Park; Sunhwan Lim; Chanwon Park (ICTC, 2021)

Arrhythmia Detection Using Convolutional Neural Networks with Temporal Attention Mechanism. - Muhammad Zubair 006; Sung-Pil Woo; Sunhwan Lim; Chanwon Park (ICTC, 2021)

Integrated Service Composition Approach Based on Transparent Access to Heterogeneous IoT Networks Using Multiple Service Providers. - Wenquan Jin; Rongxu Xu; Sunhwan Lim; Dong-Hwan Park; Chanwon Park; DoHyeun Kim 001 (Mob. Inf. Syst., 2021)

Dynamic Inference Approach Based on Rules Engine in Intelligent Edge Computing for Building Environment Control. - Wenquan Jin; Rongxu Xu; Sunhwan Lim; Dong-Hwan Park; Chanwon Park; Dohyeun Kim 001 (Sensors, 2021)

Virtualized Infrastructure as an Incentive on AI-Data Commons. - Boyun Eom; Sunhwan Lim; Young-Ho Suh; Sungpil Woo; Chanwon Park (ICTC, 2022)

Conditional GAN based Collaborative Filtering with Data Augmentation for Cold-Start User. - Sungpil Woo; Muhammad Zubair 006; Sunhwan Lim; Chanwon Park; Daeyoung Kim 001 (ICTC, 2022)

Federated Learning in Prediction of Dementia Stage: An Experimental Study. - Boyun Eom; Muhammad Zubair 006; Dong-Hwan Park; Hyunhak Kim; Young-Ho Suh; Sunhwan Lim; Chanwon Park (ICTC, 2023)

Design Issues in Implementation of Decentralized AI-data commons Framework. - Young-Ho Suh; Sungpil Woo; Boyun Eom; Dong-Hwan Park; Sunhwan Lim; Chanwon Park (ICTC, 2023)

Federated Learning Using Blockchain-based Marketplace. - Boyun Eom; Sunhwan Lim; Young-Ho Suh; Sungpil Woo; Chanwon Park (ICUFN, 2023)

Learnable Path in Neural Controlled Differential Equations. - Sheo Yon Jhin; Minju Jo; Seungji Kook; Noseong Park; Sungpil Woo; Sunhwan Lim (CoRR, 2023)

Deep-Reinforcement-Learning-Based IoT Sensor Data Cleaning Framework for Enhanced Data Analytics. - Alaelddin Fuad Yousif Mohammed; Salman Md Sultan; Joohyung Lee 001; Sunhwan Lim (Sensors, 2023)

Cooperative Swarm Learning for Distributed Cyclic Edge Intelligent Computing. - Rongxu Xu; Wenquan Jin; Anam Nawaz Khan; Sunhwan Lim; Do-Hyeun Kim 001 (Internet Things, 2023)

A precision-centric approach to overcoming data imbalance and non-IIDness in federated learning. - Anam Nawaz Khan; Atif Rizwan; Rashid Ahmad 004; Qazi Waqas Khan; Sunhwan Lim; Do-Hyeun Kim 001 (Internet Things, 2023)

AI-Data Commons: A Decentralized Collaborative Framework for AI-Based Problem Solving. - Young-Ho Suh; Sungpil Woo; Jihoon Seo; Jaeseob Han; Sunhwan Lim; Chanwon Park (ICTC, 2024)

Empirical Study of Attention Mechanism on Neural Ordinary Differential Equations. - Sungpil Woo; Muhammad Zubair 006; Sunhwan Lim; Daeyoung Kim 001 (ICTC, 2024)

Empirical Study of Rectifier and Dropout in Feedforward Neural Networks. - Sungpil Woo; Sunhwan Lim; Daeyoung Kim 001 (ICTC, 2024)

DRL-Enabled Hierarchical Federated Learning Optimization for Data Heterogeneity Management in Multi-Access Edge Computing. - Suhyun Cho; Sunhwan Lim; Joohyung Lee 001 (IEEE Access, 2024)

Heterogeneous Privacy Level-Based Client Selection for Hybrid Federated and Centralized Learning in Mobile Edge Computing. - Faranaksadat Solat; Sakshi Patni; Sunhwan Lim; Joohyung Lee 001 (IEEE Access, 2024)

Deep Representation Learning for Multimodal Emotion Recognition Using Physiological Signals. - Muhammad Zubair 006; Sungpil Woo; Sunhwan Lim; Changwoo Yoon (IEEE Access, 2024)

A decentralized federated learning based interoperable and heterogeneity aware predictive optimization method for energy and comfort in smart homes environment. - Rongxu Xu; Salabat Khan; Wenquan Jin; Anam Nawaz Khan; Qazi Waqas Khan; Sunhwan Lim; Do Hyeun Kim 001 (Appl. Soft Comput., 2024)

Hetero-FedIoT: A Rule-Based Interworking Architecture for Heterogeneous Federated IoT Networks. - Anam Nawaz Khan; Atif Rizwan; Rashid Ahmad 004; Wenquan Jin; Qazi Waqas Khan; Sunhwan Lim; DoHyeun Kim 001 (IEEE Internet Things J., 2024)

Deep Representation Learning With Sample Generation and Augmented Attention Module for Imbalanced ECG Classification. - Muhammad Zubair 006; Sungpil Woo; Sunhwan Lim; Daeyoung Kim 001 (IEEE J. Biomed. Health Informatics, 2024)

Deep multimodal emotion recognition using modality-aware attention and proxy-based multimodal loss. - Sungpil Woo; Muhammad Zubair 006; Sunhwan Lim; Daeyoung Kim 001 (Internet Things, 2025)

Federated Learning-Based Energy-Efficient Consumer-Centric Access Strategy for Cell-Free MIMO in 6G Wireless Networks. - Nikhil Kumar Singh 003; Sonal Telang Chandel; Sunhwan Lim; Joohyung Lee 001 (IEEE Trans. Consumer Electron., 2025)

Federated Learning-Based Secure Computing Mechanism for Consumer Internet of Vehicles-Based Transportation Cyber-Physical Systems. - Nikhil Kumar Singh 003; Sakshi Patni; Sunhwan Lim; Joohyung Lee 001 (IEEE Trans. Consumer Electron., 2025)