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ORCIDSeyeon Kim 0001
Person information
- affiliation: Korea University, Department of Computer Science and Engineering, Seoul, South Korea
- affiliation (2024 - 2025): University of Colorado, Computer Science Department, Boulder, CO, USA
- affiliation (PhD 2022): Korea Advanced Institute of Science and Technology (KAIST), School of Electrical Engineering, Daejeon, South Korea
Other persons with the same name
- Seyeon Kim — disambiguation page
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2020 – today
- 2026
[c10]Goodsol Lee, Seyeon Kim, Juheon Yi, Junhong Min, Sangtae Ha, Kyunghan Lee, Saewoong Bahk:
PAVE: Mitigating Non-Congestive Delay for Seamless Video Calls over NextG Mobile Networks. INFOCOM 2026: 1-10- [c9]Goodsol Lee, Junhong Min, Seyeon Kim, Juheon Yi, Kwang Taik Kim, Mung Chiang, Sangtae Ha, Kyunghan Lee, Saewoong Bahk:
QCON: Seamless QoE-Aware 5G Streaming via Multi-Connectivity. NSDI 2026: 1721-1739 - [c8]Tuan Tran, S. M. H. Hosseini, Seyeon Kim, Kyunghan Lee, Nam Bui, Dirk Grunwald, Sangtae Ha:
eXpressSFU: Toward Super-Scalable Video Conferencing with SmartNICs. NSDI 2026: 2355-2369 - 2025
- [j2]Kyungmin Bin
, Seyeon Kim, Sangtae Ha, Song Chong, Kyunghan Lee:
NeuroBalancer: Balancing System Frequencies With Punctual Laziness for Timely and Energy-Efficient DNN Inferences. IEEE Trans. Mob. Comput. 24(5): 4339-4354 (2025) - [c7]Hojeong Lee, Yu Hong Kim, Sangwoo Ryu, James Won-Ki Hong, Sangtae Ha, Seyeon Kim:
DeltaStream: 2D-Inferred Delta Encoding for Live Volumetric Video Streaming. MobiSys 2025: 361-373 - 2024
- [c6]Max Hollingsworth, Yaguang Zhang, Todd Schumann, Christopher R. Anderson, Michael G. Cotton, Seyeon Kim, Sangtae Ha, Dirk Grunwald:
Repurposing Cellular Reference Signals: Accurate RSRP Measurements with Mobile Phones. DySPAN 2024: 45-50 - [c5]Taeho Kim, Yanming Wang, Vatshank Chaturvedi, Lokesh Gupta, Seyeon Kim, Yongin Kwon, Sangtae Ha:
LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs. IJCAI 2024: 6324-6332 - [c4]Kyungmin Bin, Jongseok Park, Chanjeong Park, Seyeon Kim, Kyunghan Lee:
CoActo: CoActive Neural Network Inference Offloading with Fine-grained and Concurrent Execution. MobiSys 2024: 412-424 - [i1]Taeho Kim, Yanming Wang, Vatshank Chaturvedi, Lokesh Gupta, Seyeon Kim, Yongin Kwon, Sangtae Ha:
LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs. CoRR abs/2404.10933 (2024) - 2023
- [c3]Seyeon Kim, Kyungmin Bin, Donggyu Yang, Sangtae Ha, Song Chong, Kyunghan Lee:
ENTRO: Tackling the Encoding and Networking Trade-off in Offloaded Video Analytics. ACM Multimedia 2023: 9115-9123 - 2022
- [c2]Insoo Lee, Seyeon Kim, Sandesh Dhawaskar Sathyanarayana, Kyungmin Bin, Song Chong, Kyunghan Lee, Dirk Grunwald, Sangtae Ha:
R-FEC: RL-based FEC Adjustment for Better QoE in WebRTC. ACM Multimedia 2022: 2948-2956 - 2021
- [j1]Seyeon Kim, Kyungmin Bin, Sangtae Ha, Kyunghan Lee, Song Chong:
zTT: Learning-Based DVFS with Zero Thermal Throttling for Mobile Devices. GetMobile Mob. Comput. Commun. 25(4): 30-34 (2021) - [c1]Seyeon Kim, Kyungmin Bin, Sangtae Ha, Kyunghan Lee, Song Chong:
zTT: learning-based DVFS with zero thermal throttling for mobile devices. MobiSys 2021: 41-53
Coauthor Index
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