Top-down parsing for Neural Network Exchange Format (NNEF) in TensorFlow-based deep learning computation. - Bokyung Seo; Myungjae Shin; Yeong Jong Mo; Joongheon Kim (ICOIN, 2018)

Neural Network Syntax Analyzer for Embedded Standardized Deep Learning. - Myungjae Shin; Joongheon Kim; Aziz Mohaisen; Jaebok Park; KyungHee Lee (EMDL@MobiSys, 2018)

Recipient-Oriented Transaction for Preventing Double Spending Attacks in Private Blockchain. - Hyunjae Lee; Myungjae Shin; Kyeong Seon Kim; Yeongeun Kang; Joongheon Kim (SECON, 2018)

Joint Offloading and Streaming in Mobile Edges: A Deep Reinforcement Learning Approach. - SooHyun Park; Junhui Kim; Dohyun Kwon 001; Myungjae Shin; Joongheon Kim (APWCS, 2019)

Randomized Adversarial Imitation Learning for Autonomous Driving. - Myungjae Shin; Joongheon Kim (IJCAI, 2019)

Adversarial Imitation Learning via Random Search. - Myungjae Shin; Joongheon Kim (IJCNN, 2019)

Auction-Based Charging Scheduling With Deep Learning Framework for Multi-Drone Networks. - Myungjae Shin; Joongheon Kim; Marco Levorato (IEEE Trans. Veh. Technol., 2019)

XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning. - Myungjae Shin; Chihoon Hwang; Joongheon Kim; Jihong Park; Mehdi Bennis; Seong-Lyun Kim (CoRR, 2020)

Cooperative Management for PV/ESS-Enabled Electric Vehicle Charging Stations: A Multiagent Deep Reinforcement Learning Approach. - Myungjae Shin; Dae-Hyun Choi; Joongheon Kim (IEEE Trans. Ind. Informatics, 2020)

Performance Comparison of SRCNN, VDSR, and SRDenseNet Deep Learning Models in Embedded Autonomous Driving Platforms. - Joongheon Kim; Myungjae Shin; Dohyun Kim 001; Soohyun Park; Yeongeun Kang; Junghyun Kim; Haemin Lee; Won Joon Yun; Jaeho Choi; Seunghoon Park; Seunghyeok Oh; Jaesung Yoo (ICOIN, 2021)

Joint Behavioral Cloning and Reinforcement Learning Method for Propofol and Remifentanil Infusion in Anesthesia. - Myungjae Shin; Joongheon Kim (ICOIN, 2021)

Bitcoin Price Forecasting via Ensemble-based LSTM Deep Learning Networks. - Myungjae Shin; David Mohaisen; Joongheon Kim (ICOIN, 2021)

Adversarial Imitation Learning via Random Search in Lane Change Decision-Making. - Myungjae Shin; Joongheon Kim (CoRR, 2021)

Dynamic video delivery using deep reinforcement learning for device-to-device underlaid cache-enabled Internet-of-vehicle networks. - Minseok Choi; Myungjae Shin; Joongheon Kim (J. Commun. Networks, 2021)

Orchestrated Scheduling and Multi-Agent Deep Reinforcement Learning for Cloud-Assisted Multi-UAV Charging Systems. - Soyi Jung; Won Joon Yun; Myungjae Shin; Joongheon Kim; Jae-Hyun Kim (IEEE Trans. Veh. Technol., 2021)

Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control. - Won Joon Yun; Soohyun Park; Joongheon Kim; Myungjae Shin; Soyi Jung; David A. Mohaisen; Jae-Hyun Kim (CoRR, 2022)

Cooperative Multiagent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control. - Won Joon Yun; Soohyun Park; Joongheon Kim; Myungjae Shin; Soyi Jung; David A. Mohaisen; Jae-Hyun Kim (IEEE Trans. Ind. Informatics, 2022)

Parallelized and randomized adversarial imitation learning for safety-critical self-driving vehicles. - Won Joon Yun; Myungjae Shin; Soyi Jung; Sean Soek-Chul Kwon; Joongheon Kim (J. Commun. Networks, 2022)

Deep reinforcement learning-based propofol infusion control for anesthesia: A feasibility study with a 3000-subject dataset. - Won Joon Yun; Myungjae Shin; Soyi Jung; JeongGil Ko; Hyung-Chul Lee; Joongheon Kim (Comput. Biol. Medicine, 2023)

Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia. - Won Joon Yun; Myungjae Shin; David Mohaisen; Kangwook Lee 001; Joongheon Kim (IEEE Trans. Neural Networks Learn. Syst., 2024)