| Cooperative management for PV/ESS-enabled electric vehicle charging stations: A multiagent deep reinforcement learning approach MJ Shin, DH Choi, J Kim IEEE Transactions on Industrial Informatics 16 (5), 3493-3503, 2019 | 156 | 2019 |
| Auction-based charging scheduling with deep learning framework for multi-drone networks MJ Shin, J Kim, M Levorato IEEE Transactions on Vehicular Technology 68 (5), 4235-4248, 2019 | 134 | 2019 |
| Cooperative multiagent deep reinforcement learning for reliable surveillance via autonomous multi-UAV control WJ Yun, S Park, J Kim, MJ Shin, S Jung, DA Mohaisen, JH Kim IEEE Transactions on Industrial Informatics 18 (10), 7086-7096, 2022 | 106 | 2022 |
| Orchestrated scheduling and multi-agent deep reinforcement learning for cloud-assisted multi-UAV charging systems S Jung, WJ Yun, MJ Shin, J Kim, JH Kim IEEE Transactions on Vehicular Technology 70 (6), 5362-5377, 2021 | 71 | 2021 |
| Recipient-oriented transaction for preventing double spending attacks in private blockchain H Lee, M Shin, KS Kim, Y Kang, J Kim 2018 15th Annual IEEE International Conference on Sensing, Communication …, 2018 | 37 | 2018 |
| Randomized adversarial imitation learning for autonomous driving MJ Shin, J Kim arXiv preprint arXiv:1905.05637, 2019 | 35 | 2019 |
| Bitcoin price forecasting via ensemble-based LSTM deep learning networks MJ Shin, D Mohaisen, J Kim 2021 International conference on information networking (ICOIN), 603-608, 2021 | 26 | 2021 |
| Dynamic video delivery using deep reinforcement learning for device-to-device underlaid cache-enabled internet-of-vehicle networks M Choi, M Shin, J Kim Journal of Communications and Networks 23 (2), 117-128, 2021 | 16 | 2021 |
| Hierarchical deep reinforcement learning-based propofol infusion assistant framework in anesthesia WJ Yun, MJ Shin, D Mohaisen, K Lee, J Kim IEEE Transactions on Neural Networks and Learning Systems, 2022 | 11 | 2022 |
| Adversarial imitation learning via random search MJ Shin, J Kim 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 11 | 2019 |
| Top-down parsing for neural network exchange format (nnef) in tensorflow-based deep learning computation B Seo, M Shin, YJ Mo, J Kim 2018 International Conference on Information Networking (ICOIN), 522-524, 2018 | 10 | 2018 |
| Joint offloading and streaming in mobile edges: a deep reinforcement learning approach S Park, J Kim, D Kwon, MJ Shin, J Kim 2019 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS), 1-4, 2019 | 9 | 2019 |
| Parallelized and randomized adversarial imitation learning for safety-critical self-driving vehicles WJ Yun, MJ Shin, S Jung, S Kwon, J Kim Journal of Communications and Networks 24 (6), 710-721, 2022 | 7 | 2022 |
| Performance Comparison of SRCNN, VDSR, and SRDenseNet Deep Learning Models in Embedded Autonomous Driving Platforms J Kim, MJ Shin, D Kim, S Park, Y Kang, J Kim, H Lee, WJ Yun, J Choi, ... 2021 International Conference on Information Networking (ICOIN), 56-58, 2021 | 7 | 2021 |
| Joint behavioral cloning and reinforcement learning method for propofol and remifentanil infusion in anesthesia MJ Shin, J Kim 2021 International Conference on Information Networking (ICOIN), 849-852, 2021 | 6 | 2021 |
| Neural network syntax analyzer for embedded standardized deep learning MJ Shin, J Kim, A Mohaisen, J Park, KH Lee Proceedings of the 2nd International Workshop on Embedded and Mobile Deep …, 2018 | 4 | 2018 |
| Deep reinforcement learning-based propofol infusion control for anesthesia: A feasibility study with a 3000-subject dataset WJ Yun, MJ Shin, S Jung, JG Ko, HC Lee, J Kim Computers in Biology and Medicine 156, 106739, 2023 | 2 | 2023 |
| Adversarial imitation learning via random search in lane change decision-making M Shin, J Kim arXiv preprint arXiv:2109.05197, 2021 | 2 | 2021 |
