| HPMR: Prefetching and pre-shuffling in shared MapReduce computation environment S Seo, I Jang, K Woo, I Kim, JS Kim, S Maeng 2009 IEEE International Conference on Cluster Computing and Workshops, 1-8, 2009 | 206 | 2009 |
| A smart handover decision algorithm using location prediction for hierarchical macro/femto-cell networks B Jeong, S Shin, I Jang, NW Sung, H Yoon 2011 IEEE vehicular technology conference (VTC Fall), 1-5, 2011 | 69 | 2011 |
| A survey on communication protocols for wireless sensor networks I Jang, D Pyeon, S Kim, H Yoon Journal of Computing Science and Engineering 7 (4), 231-241, 2013 | 42 | 2013 |
| Dreamerpro: Reconstruction-free model-based reinforcement learning with prototypical representations F Deng, I Jang, S Ahn International Conference on Machine Learning, 4956-4975, 2022 | 38 | 2022 |
| Knowledge transfer for on-device deep reinforcement learning in resource constrained edge computing systems I Jang, H Kim, D Lee, YS Son, S Kim IEEE Access 8, 146588-146597, 2020 | 34 | 2020 |
| EMBA: An efficient multihop broadcast protocol for asynchronous duty-cycled wireless sensor networks I Jang, S Yang, H Yoon, D Kim IEEE transactions on wireless communications 12 (4), 1640-1650, 2013 | 31 | 2013 |
| A pseudo-random asynchronous duty cycle MAC protocol in wireless sensor networks H Lee, J Hong, S Yang, I Jang, H Yoon IEEE Communications Letters 14 (2), 136-138, 2010 | 25 | 2010 |
| An agent-based simulation modeling with deep reinforcement learning for smart traffic signal control I Jang, D Kim, D Lee, Y Son 2018 International Conference on Information and Communication Technology …, 2018 | 24 | 2018 |
| An approach to share self-taught knowledge between home IoT devices at the edge I Jang, D Lee, J Choi, Y Son Sensors 19 (4), 833, 2019 | 20 | 2019 |
| RM-MAC: A reservation based multi-channel MAC protocol for wireless sensor networks D Pyeon, I Jang, H Yoon, D Kim Wireless Networks 22, 2727-2739, 2016 | 9 | 2016 |
| MRMAC: medium reservation MAC protocol for reducing end-to-end delay and energy consumption in wireless sensor networks J Hong, I Jang, H Lee, S Yang, H Yoon IEEE Communications Letters 14 (7), 614-616, 2010 | 8 | 2010 |
| Avoiding collaborative paradox in multi‐agent reinforcement learning H Kim, S Kim, D Lee, I Jang ETRI Journal 43 (6), 1004-1012, 2021 | 7 | 2021 |
| An open source hardware based sign language interpreter glove & situation awareness auxiliary IoT device for the hearing impaired SM Koo, IG Jang, YS Son KIISE Transactions on Computing Practices 24 (4), 204-209, 2018 | 7 | 2018 |
| Knowledge of Things: A novel approach to share self-taught knowledge between IoT devices I Jang, D Lee, J Choi, YS Son 2018 IEEE International Conference on Consumer Electronics (ICCE), 1-2, 2018 | 5 | 2018 |
| Channel-quality-aware multihop broadcast for asynchronous multi-channel wireless sensor networks I Jang, D Pyeon, H Yoon, D Kim Wireless Networks 22, 2143-2158, 2016 | 4 | 2016 |
| An experimental study on reinforcement learning on iot devices with distilled knowledge I Jang, S Kim, H Kim, CW Park, JH Park 2020 International Conference on Information and Communication Technology …, 2020 | 3 | 2020 |
| Stochastic Video Prediction with Perceptual Loss LEE Donghun, I Jang, S Kim, C Park, J Park NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications, 2021 | 2 | 2021 |
| Learning Robot Manipulation based on Modular Reward Shaping S Kim, I Jang, H Kim, CW Park, JH Park 2020 International Conference on Information and Communication Technology …, 2020 | 2 | 2020 |
| Periodic Communication for Distributed Multi-agent Reinforcement Learning under Partially Observable Environment S Kim, D Lee, I Jang, H Kim, Y Son 2019 International Conference on Information and Communication Technology …, 2019 | 2 | 2019 |
| Power-efficient beacon recognition method based on periodic wake-up for industrial wireless devices S Song, D Lee, I Jang, J Choi, Y Son Sensors 18 (4), 1237, 2018 | 2 | 2018 |
