| 2021-01 | Learning to Schedule Network Resources Throughput and Delay Optimally Using Q+-Learning | 이주현 |
| 2021-12 | LSTM-based Throughput Prediction for LTE Networks | 이주현 |
| 2023-01-11 | Lyapunov Drift-Based Scheduling for Short-Packet Transmission with Finite Blocklength Coding | 이주현 |
| 2021-08 | Machine Learning and Deep Learning for Throughput Prediction | 이주현 |
| 2022-02 | Machine learning-based diagnosis and risk factor analysis of cardiocerebrovascular disease based on KNHANES | 이주현 |
| 2022-02 | Machine learning‑based diagnosis and risk factor analysis of cardiocerebrovascular disease based on KNHANES | 이주현 |
| 2023-08 | Multi-agent deep reinforcement learning for cross-layer scheduling in mobile ad-hoc networks | 이주현 |
| 2023-11-09 | Multi-Agent Reinforcement Learning for a Multichannel Uplink Random Access: Congestion Game Perspective | 이주현 |
| 2018-07 | A Near-Optimal Control Policy in Cloud Systems with Renewable Sources and Time-dependent Energy Price | 이주현 |
| 2022 | NLoS Mitigation Methods for Localization in Indoor Environments | 이주현 |
| 2023-02 | NOMA-based Random Access: Multi-Agent Reinforcement Learning Method | 이주현 |
| 2021-05 | Prediction of Head Movement in 360-Degree Videos Using Attention Model | 이주현 |
| 2020-02 | Prediction of Network Throughput using ARIMA | 이주현 |
| 2018-04 | Pricing for Past Channel State Information in Multi-Channel Cognitive Radio Networks | 이주현 |
| 2021-06 | Q-greedyUCB: a New Exploration Policy to Learn Resource-Efficient Scheduling | 이주현 |
| 2019-11 | Q-Learning을 활용한 개인의 의료비 최소화 연구 | 이주현 |
| 2019-10 | A Reinforcement Learning Based Low-Delay Scheduling With Adaptive Transmission | 이주현 |
| 2021-04 | Reinforcement Learning for Random Access in Multi-cell Networks | 이주현 |
| 2016-12 | Resource-Efficient Mobile Multimedia Streaming With Adaptive Network Selection | 이주현 |
| 2015-02 | S/O/W 용매 추출 증발법을 이용한 마보플록사신 서방형 PLGA 마이크로입자 | 이주현 |
