Semantic Enrichment of Twitter News for Differentiated STEAM Education. - Yongsung Kim; Seonmi Ji; Seungwon Jung; Jihoon Moon; Eenjun Hwang (BigComp, 2018)

A Short-Term Electric Load Forecasting Scheme Using 2-Stage Predictive Analytics. - Jihoon Moon; Kyu-Hyung Kim; Yongsung Kim; Eenjun Hwang (BigComp, 2018)

Forecasting power consumption for higher educational institutions based on machine learning. - Jihoon Moon; Jinwoong Park; Eenjun Hwang; Sanghoon Jun (J. Supercomput., 2018)

A comparative analysis of artificial neural network architectures for building energy consumption forecasting. - Jihoon Moon; Sungwoo Park; Seungmin Rho; Eenjun Hwang (Int. J. Distributed Sens. Networks, 2019)

BCGAN-Based Over-Sampling Scheme for Imbalanced Data. - Minjae Son; Seungwon Jung; Jihoon Moon; Eenjun Hwang (BigComp, 2020)

Explainable Anomaly Detection for District Heating Based on Shapley Additive Explanations. - Sungwoo Park; Jihoon Moon; Eenjun Hwang (ICDM (Workshops), 2020)

Multistep-Ahead Solar Radiation Forecasting Scheme Based on the Light Gradient Boosting Machine: A Case Study of Jeju Island. - Jinwoong Park; Jihoon Moon; Seungmin Jung; Eenjun Hwang (Remote. Sens., 2020)

Habitat Suitability Estimation Using a Two-Stage Ensemble Approach. - Jehyeok Rew; Yongjang Cho; Jihoon Moon; Eenjun Hwang (Remote. Sens., 2020)

Bagging Ensemble of Multilayer Perceptrons for Missing Electricity Consumption Data Imputation. - Seungwon Jung; Jihoon Moon; Sungwoo Park; Seungmin Rho; Sung Wook Baik; Eenjun Hwang (Sensors, 2020)

Energy-Efficient mmWave UDN Using Distributed Multi-Agent Deep Reinforcement Learning. - Jihoon Moon; Hyungyu Ju; Seungnyun Kim; Byonghyo Shim (ICC Workshops, 2021)

User Association with Multi-Agent Reinforcement Learning for Energy-Efficient UDN. - Jihoon Moon; Byonghyo Shim (ICTC, 2021)

An Attention-Based Multilayer GRU Model for Multistep-Ahead Short-Term Load Forecasting. - Seungmin Jung; Jihoon Moon; Sungwoo Park; Eenjun Hwang (Sensors, 2021)

Mid-term electricity load prediction using CNN and Bi-LSTM. - M. Junaid Gul; Gul Malik Urfa; Anand Paul 001; Jihoon Moon; Seungmin Rho; Eenjun Hwang (J. Supercomput., 2021)

LSTM-based Beam Tracking Using Computer Vision. - Jihoon Moon; Byonghyo Shim (APWCS, 2022)

A Hybrid Tree-Based Ensemble Learning Model for Day-Ahead Peak Load Forecasting. - Jihoon Moon; Sungwoo Park; Eenjun Hwang; Seungmin Rho (HSI, 2022)

Fast Terahertz Beam Training Via Frequency-dependent Precoding. - Jungjae Park; Seungnyun Kim; Jihoon Moon; Byonghyo Shim (ICC Workshops, 2022)

A Deep Reinforcement Learning-Based Decision Support System for Automated Stock Market Trading. - Yasmeen Ansari; Sadaf Yasmin; Sheneela Naz; Hira Zaffar; Zeeshan Ali 002; Jihoon Moon; Seungmin Rho (IEEE Access, 2022)

An Empirical Study of Macroeconomic Factors and Stock Returns in the Context of Economic Uncertainty News Sentiment Using Machine Learning. - Ayesha Jabeen; Muhammad Yasir; Yasmeen Ansari; Sadaf Yasmin; Jihoon Moon; Seungmin Rho (Complex., 2022)

A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation. - Jihoon Moon; Debasmit Das; C. S. George Lee (CoRR, 2022)

Analyzing the Stock Exchange Markets of EU Nations: A Case Study of Brexit Social Media Sentiment. - Haider Maqsood; Muazzam Maqsood; Sadaf Yasmin; Irfan Mehmood; Jihoon Moon; Seungmin Rho (Syst., 2022)

A Multistage Framework With Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation. - Jihoon Moon; Debasmit Das; C. S. George Lee (IEEE Trans. Image Process., 2022)

Explainable artificial intelligence approach in combating real-time surveillance of COVID19 pandemic from CT scan and X-ray images using ensemble model. - Farhan Ullah; Jihoon Moon; Hamad Naeem; Sohail Jabbar (J. Supercomput., 2022)

A Literature Review on AWS-Based Cloud Computing: A Case in South Korea. - Byeongcheon Lee; Jinyeong Oh; Woojin Shon; Jihoon Moon (BigComp, 2023)

Towards an Effective Over-The-Top Platform Service: A Machine Learning Approach for Box Office Analysis. - Subeen Leem; Jisong Oh; Jihoon Moon (BigComp, 2023)

Auto-Labeling of Anomalies on Access Logs and Pairwise Comparison-based Validation. - Jihoon Moon; Hyuk-Yoon Kwon (BigComp, 2023)

Frequency-Dependent Precoding for Wideband Terahertz Communication Systems. - Seungnyun Kim; Jiao Wu; Jihoon Moon; Byonghyo Shim (GLOBECOM, 2023)

Sparse Channel Feedback for Energy-Efficient mmWave Massive MIMO Systems. - Seungnyun Kim; Jiao Wu; Jihoon Moon; Byonghyo Shim (ICTC, 2023)

Towards Data-Driven Decision-Making in the Korean Film Industry: An XAI Model for Box Office Analysis Using Dimension Reduction, Clustering, and Classification. - Subeen Leem; Jisong Oh; Dayeong So; Jihoon Moon (Entropy, 2023)

Energy-Efficient User Association in mmWave/THz Ultra-Dense Network via Multi-Agent Deep Reinforcement Learning. - Jihoon Moon; Seungnyun Kim; Hyungyu Ju; Byonghyo Shim (IEEE Trans. Green Commun. Netw., 2023)

BiGTA-Net: A Hybrid Deep Learning-Based Electrical Energy Forecasting Model for Building Energy Management Systems. - Dayeong So; Jinyeong Oh; Insu Jeon; Jihoon Moon; Mi Young Lee; Seungmin Rho (Syst., 2023)

Transformer-Based Channel Parameter Acquisition for Terahertz Ultra-Massive MIMO Systems. - Seungnyun Kim; Anho Lee; Hyungyu Ju; Khoa Anh Ngo; Jihoon Moon; Byonghyo Shim (IEEE Trans. Veh. Technol., 2023)

Post-Damage Short Circuit Detection in Lithium-ion Batteries. - Kiran Bhaskar; Jihoon Moon; Christopher D. Rahn (ACC, 2024)

Channel Prediction in Vehicular-to-Everything (V2X) Networks Using Image Sensing and Computer Vision. - Jihoon Moon; Khoa Anh Ngo; Byonghyo Shim (APWCS, 2024)

Multi-User Identification and 3D Positioning Using Multi-View Images via Contrastive Learning. - Khoa Anh Ngo; Jihoon Moon; Seungnyun Kim; Byonghyo Shim (ICC Workshops, 2024)

Subarray-Based Near-Field Beam Training for 6G Terahertz Communications. - Sangmok Shin; Jihoon Moon; Seungnyun Kim; Byonghyo Shim (ICC, 2024)

Sensing-Based Channel Estimation in 6G mmWave Ultra-Dense Networks. - Jihoon Moon; Byonghyo Shim (ICTC, 2024)

Sensing-aided Multi-modal Channel Prediction in 6G mmWave Massive MIMO Systems. - Jihoon Moon; Khoa Anh Ngo; Byonghyo Shim (VTC Fall, 2024)

Computer Vision-Based Cell Association for mmWave/THz Ultra-Dense Networks. - Khoa Anh Ngo; Jihoon Moon; Byonghyo Shim (VTC Spring, 2024)

Prediction of Churning Game Users Based on Social Activity and Churn Graph Neural Networks. - You-Jung Han; Jihoon Moon; Jiyoung Woo (IEEE Access, 2024)

Object detection under the lens of privacy: A critical survey of methods, challenges, and future directions. - Jihoon Moon; Maryam Bukhari; Chomyong Kim; Yunyoung Nam; Muazzam Maqsood; Seungmin Rho (ICT Express, 2024)

Enhancing multistep-ahead bike-sharing demand prediction with a two-stage online learning-based time-series model: insight from Seoul. - Subeen Leem; Jisong Oh; Jihoon Moon; Mucheol Kim; Seungmin Rho (J. Supercomput., 2024)

Fast and Accurate Terahertz Beam Management via Frequency-Dependent Beamforming. - Seungnyun Kim; Jungjae Park; Jihoon Moon; Byonghyo Shim (IEEE Trans. Wirel. Commun., 2024)

Vision-Aided Positioning and Beam Focusing for 6G Terahertz Communications. - Seungnyun Kim; Jihoon Moon; Jiao Wu; Byonghyo Shim; Moe Z. Win (IEEE J. Sel. Areas Commun., 2024)

Role of Sensing and Computer Vision in 6G Wireless Communications. - Seungnyun Kim; Jihoon Moon; Jinhong Kim; Yongjun Ahn; Donghoon Kim; Sunwoo Kim 004; Kyuhong Shim; Byonghyo Shim (IEEE Wirel. Commun., 2024)

FedSDP: Federated Self-Derived Prototypes for Personalized Federated Learning. - Jihoon Moon; Ling Liu; Hyuk-Yoon Kwon (ICDE, 2025)

Vision-based approach to knee osteoarthritis and Parkinson's disease detection utilizing human gait patterns. - Zeeshan Ali 002; Jihoon Moon; Saira Andleeb Gillani; Sitara Afzal; Muazzam Maqsood; Seungmin Rho (PeerJ Comput. Sci., 2025)