Load Estimation of Intelligent Tires Equipped with Acceleration Sensors. - Dasol Jeong; Jonghyup Lee; Seibum Choi; Mintae Kim (SAS, 2019)

Unsupervised learning approach for network intrusion detection system using autoencoders. - Hyunseung Choi; Mintae Kim; Gyubok Lee; Wooju Kim (J. Supercomput., 2019)

Logical Network Separation and Update Inducing Techniques of Non-updated Vaccine Host by Creating Flow Rule in SDN. - Dohyeon Bak; Mintae Kim; Jonghoon Lim; Raeseung Jang; Wonyoung Jang 002; Sun-Young Lee (IMIS, 2020)

Wafer Edge Yield Prediction Using a Combined Long Short-Term Memory and Feed- Forward Neural Network Model for Semiconductor Manufacturing. - Dasol Kim; Mintae Kim; Wooju Kim (IEEE Access, 2020)

A Near-Real-Time Answer Discovery for Open-Domain With Unanswerable Questions From the Web. - Mintae Kim; Sangheon Lee 004; Yeongtaek Oh; Hyunseung Choi; Wooju Kim (IEEE Access, 2020)

Estimation of Tire Load and Vehicle Parameters Using Intelligent Tires Combined With Vehicle Dynamics. - Dasol Jeong; Seungtaek Kim; Jonghyup Lee; Seibum B. Choi; Mintae Kim; Ho-Jong Lee (IEEE Trans. Instrum. Meas., 2021)

Belief Propagation for Energy Efficiency Maximization in Wireless Heterogeneous Networks. - Sang Hyun Lee; Mintae Kim; Hun Min Shin; Inkyu Lee (IEEE Trans. Wirel. Commun., 2021)

Deep Reinforcement Learning Approach for UAV-Assisted Mobile Edge Computing Networks. - Sangwon Hwang; Juseong Park; Hoon Lee; Mintae Kim; Inkyu Lee (GLOBECOM, 2022)

Multi-failure detection using device hierarchical attention network. - Sangjun An; Mintae Kim; Wooju Kim (Expert Syst. Appl., 2022)

Deep Learning Based Decentralized Beamforming Methods for Multi-Antenna Interference Channels. - Minseok Kim; Hoon Lee; Mintae Kim; Inkyu Lee (IEEE Access, 2023)

Task-Oriented Collaborative Graph Embedding Using Explicit High-Order Proximity for Recommendation. - Mintae Kim; Wooju Kim (Big Data Res., 2023)

THoRR: Complex Table Retrieval and Refinement for RAG. - Kihun Kim; Mintae Kim; Hokyung Lee; Seong Ik Park; Youngsub Han; Byoung-Ki Jeon (IR-RAG@SIGIR, 2024)

Cooperative Multi-Agent Deep Reinforcement Learning Methods for UAV-aided Mobile Edge Computing Networks. - Mintae Kim; Hoon Lee; Sangwon Hwang; Mérouane Debbah; Inkyu Lee (CoRR, 2024)

Large Language Models for Knowledge-Free Network Management: Feasibility Study and Opportunities. - Hoon Lee; Mintae Kim; Seunghwan Baek; Namyoon Lee; Mérouane Debbah; Inkyu Lee (CoRR, 2024)

Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots. - Jiaze Cai; Vishnu Sangli; Mintae Kim; Koushil Sreenath (CoRR, 2024)

Decentralized Learning Framework for Hierarchical Wireless Networks: A Tree Neural Network Approach. - Mintae Kim; Hoon Lee; Sangwon Hwang; Minseok Kim; Mérouane Debbah; Inkyu Lee (IEEE Internet Things J., 2024)

Cooperative Multiagent Deep Reinforcement Learning Methods for UAV-Aided Mobile Edge Computing Networks. - Mintae Kim; Hoon Lee; Sangwon Hwang; Mérouane Debbah; Inkyu Lee (IEEE Internet Things J., 2024)

Multiagent Deep Reinforcement Learning for Decentralized Multi-AAV Mobile Edge Computing Networks. - Sangwon Hwang; Hoon Lee; Mintae Kim; Inkyu Lee (IEEE Internet Things J., 2025)

AI-Driven Decentralized Network Management: Leveraging Multi-Agent Large Language Models for Scalable Optimization. - Hoon Lee; Mintae Kim; Seunghwan Baek; Wentao Zhou; Mérouane Debbah; Inkyu Lee (IEEE Commun. Mag., 2025)

ixi-GEN: Efficient Industrial sLLMs through Domain Adaptive Continual Pretraining. - Seonwu Kim; Yohan Na; Kihun Kim; Hanhee Cho; Geun Lim; Mintae Kim; Seongik Park; Ki Hyun Kim; Youngsub Han; Byoung-Ki Jeon (CoRR, 2025)

Generalized Reinforcement Learning for Retriever-Specific Query Rewriter with Unstructured Real-World Documents. - Sungguk Cha; DongWook Kim; Taeseung Hahn; Mintae Kim; Youngsub Han; Byoung-Ki Jeon (CoRR, 2025)