| Mobile data offloading: How much can WiFi deliver? K Lee, J Lee, Y Yi, I Rhee, S Chong IEEE/ACM Transactions on networking 21 (2), 536-550, 2012 | 705 | 2012 |
| Mobile data offloading: how much can WiFi deliver? K Lee, I Rhee, J Lee, S Chong, Y Yi Proceedings of the 6th International COnference, 26, 2010 | 550 | 2010 |
| DREAM: Dynamic Resource and Task Allocation for Energy Minimization in Mobile Cloud Systems J Kwak, Y Kim, J Lee, S Chong Selected Areas in Communications, IEEE Journal on 33 (12), 2510-2523, 2015 | 488 | 2015 |
| Economics of wifi offloading: Trading delay for cellular capacity J Lee, Y Yi, S Chong, Y Jin IEEE Transactions on Wireless Communications 13 (3), 1540-1554, 2014 | 229 | 2014 |
| A change-detection based framework for piecewise-stationary multi-armed bandit problem F Liu, J Lee, N Shroff Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 164 | 2018 |
| Enabling technologies for AI empowered 6G massive radio access networks M Shahjalal, W Kim, W Khalid, S Moon, M Khan, SZ Liu, S Lim, E Kim, ... ICT Express 9 (3), 341-355, 2023 | 55 | 2023 |
| Delay-optimal and energy-efficient communications with Markovian arrivals X Zhao, W Chen, J Lee, NB Shroff IEEE Transactions on Communications 68 (3), 1508-1523, 2019 | 45 | 2019 |
| Context-aware application scheduling in mobile systems: What will users do and not do next? J Lee, K Lee, E Jeong, J Jo, NB Shroff Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016 | 43 | 2016 |
| Delay-optimal buffer-aware scheduling with adaptive transmission X Chen, W Chen, J Lee, NB Shroff IEEE Transactions on Communications 65 (7), 2917-2930, 2017 | 41 | 2017 |
| LSTM-based throughput prediction for LTE networks H Na, Y Shin, D Lee, J Lee ICT Express 9 (2), 247-252, 2023 | 28 | 2023 |
| Automatic classification of the Korean triage acuity scale in simulated emergency rooms using speech recognition and natural language processing: a proof of concept study D Kim, J Oh, H Im, M Yoon, J Park, J Lee Journal of Korean Medical Science 36 (27), 2021 | 26 | 2021 |
| Prediction of network throughput using ARIMA D Lee, D Lee, M Choi, J Lee 2020 International Conference on Artificial Intelligence in Information and …, 2020 | 21 | 2020 |
| Machine learning-based diagnosis and risk factor analysis of cardiocerebrovascular disease based on KNHANES T Oh, D Kim, S Lee, C Won, S Kim, J Yang, J Yu, B Kim, J Lee Scientific reports 12 (1), 2250, 2022 | 20 | 2022 |
| Artificial intelligence model comparison for risk factor analysis of patent ductus arteriosus in nationwide very low birth weight infants cohort JY Na, D Kim, AM Kwon, JY Jeon, H Kim, CR Kim, HJ Lee, J Lee, HK Park Scientific Reports 11 (1), 22353, 2021 | 20 | 2021 |
| Apparatus and method for supporting peer to peer communication in a broadband wireless communication system BC Kim, S Chong, SY Yoon, J Lee, J Lee, Y Kim, SON Kyu-Ho US Patent 8,295,241, 2012 | 19 | 2012 |
| CAS: Context-aware background application scheduling in interactive mobile systems J Lee, K Lee, E Jeong, J Jo, NB Shroff IEEE Journal on Selected Areas in Communications 35 (5), 1013-1029, 2017 | 17 | 2017 |
| Deep learning-based natural language processing for detecting medical symptoms and histories in emergency patient triage S Lee, J Lee, J Park, J Park, D Kim, J Lee, J Oh The American Journal of Emergency Medicine 77, 29-38, 2024 | 16 | 2024 |
| Learning to Schedule Network Resources Throughput and Delay Optimally Using Q+-Learning J Bae, J Lee, S Chong IEEE/ACM Transactions on Networking 29 (2), 750-763, 2021 | 16 | 2021 |
| Prediction of head movement in 360-degree videos using attention model D Lee, M Choi, J Lee Sensors 21 (11), 3678, 2021 | 13 | 2021 |
| Finding minimum node separators: a Markov chain Monte Carlo method J Lee, J Kwak, HW Lee, NB Shroff Reliability Engineering & System Safety 178, 225-235, 2018 | 13 | 2018 |
Song ChongICT Endowed Chair Professor, KAIST AI & EEVerified email at kaist.edu
