| Rethinking virtual network embedding: Substrate support for path splitting and migration M Yu, Y Yi, J Rexford, M Chiang ACM SIGCOMM Computer Communication Review 38 (2), 17-29, 2008 | 1678 | 2008 |
| Qtran: Learning to factorize with transformation for cooperative multi-agent reinforcement learning K Son, D Kim, WJ Kang, DE Hostallero, Y Yi International conference on machine learning, 5887-5896, 2019 | 944 | 2019 |
| 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 | 704 | 2012 |
| Base station operation and user association mechanisms for energy-delay tradeoffs in green cellular networks K Son, H Kim, Y Yi, B Krishnamachari IEEE journal on selected areas in communications 29 (8), 1525-1536, 2011 | 558 | 2011 |
| Mobile data offloading: How much can WiFi deliver? K Lee, J Lee, Y Yi, I Rhee, S Chong Proceedings of the 6th International COnference, 1-12, 2010 | 550 | 2010 |
| Hop-by-hop congestion control over a wireless multi-hop network Y Yi, S Shakkottai IEEE INFOCOM 2004, 2004 | 491 | 2004 |
| TEAR: TCP emulation at receivers-flow control for multimedia streaming I Rhee, V Ozdemir, Y Yi NCSU Technical Report, 2000 | 344 | 2000 |
| Learning to schedule communication in multi-agent reinforcement learning D Kim, S Moon, D Hostallero, WJ Kang, T Lee, K Son, Y Yi arXiv preprint arXiv:1902.01554, 2019 | 241 | 2019 |
| 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 | 227 | 2014 |
| REFIM: A practical interference management in heterogeneous wireless access networks K Son, S Lee, Y Yi, S Chong IEEE Journal on Selected Areas in Communications 29 (6), 1260-1272, 2011 | 226 | 2011 |
| Kargus: a highly-scalable software-based intrusion detection system MA Jamshed, J Lee, S Moon, I Yun, D Kim, S Lee, Y Yi, KS Park Proceedings of the 2012 ACM conference on Computer and communications …, 2012 | 211 | 2012 |
| Towards the swift prediction of the remaining useful life of lithium-ion batteries with end-to-end deep learning J Hong, D Lee, ER Jeong, Y Yi Applied energy 278, 115646, 2020 | 209 | 2020 |
| Stochastic network utility maximisation—a tribute to Kelly's paper published in this journal a decade ago Y Yi, M Chiang European Transactions on Telecommunications 19 (4), 421-442, 2008 | 163 | 2008 |
| Max-contribution: On optimal resource allocation in delay tolerant networks K Lee, Y Yi, J Jeong, H Won, I Rhee, S Chong 2010 Proceedings IEEE INFOCOM, 1-9, 2010 | 140 | 2010 |
| Towards utility‐optimal random access without message passing J Liu, Y Yi, A Proutiere, M Chiang, HV Poor Wireless Communications and Mobile Computing 10 (1), 115-128, 2010 | 117 | 2010 |
| How much and when do we need higher-order information in hypergraphs? a case study on hyperedge prediction S Yoon, H Song, K Shin, Y Yi Proceedings of The Web Conference 2020, 2627-2633, 2020 | 88 | 2020 |
| Complexity in wireless scheduling: Impact and tradeoffs Y Yi, A Proutičre, M Chiang Proceedings of the 9th ACM international symposium on Mobile ad hoc …, 2008 | 79 | 2008 |
| The economic effects of sharing femtocells SY Yun, Y Yi, DH Cho, J Mo IEEE journal on selected areas in Communications 30 (3), 595-606, 2012 | 75 | 2012 |
| Deep learning approaches to detect atrial fibrillation using photoplethysmographic signals: algorithms development study S Kwon, J Hong, EK Choi, E Lee, DE Hostallero, WJ Kang, B Lee, ... JMIR mHealth and uHealth 7 (6), e12770, 2019 | 74 | 2019 |
| Making 802.11 DCF near-optimal: Design, implementation, and evaluation J Lee, H Lee, Y Yi, S Chong, B Nardelli, M Chiang 2013 IEEE International Conference on Sensing, Communications and Networking …, 2013 | 74* | 2013 |
