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Yongin Kwon
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2020 – today
- 2024
- [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 - [i8]Joonhyung Lee, Sangbeom Park, Yongin Kwon, Jemin Lee, Minwook Ahn, Sungjoon Choi:
Visual Preference Inference: An Image Sequence-Based Preference Reasoning in Tabletop Object Manipulation. CoRR abs/2403.11513 (2024) - [i7]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) - [i6]Gihwan Kim, Jemin Lee, Sihyeong Park, Yongin Kwon, Hyungshin Kim:
Mixed Non-linear Quantization for Vision Transformers. CoRR abs/2407.18437 (2024) - [i5]Jemin Lee, Sihyeong Park, Jinse Kwon, Jihun Oh, Yongin Kwon:
A Comprehensive Evaluation of Quantized Instruction-Tuned Large Language Models: An Experimental Analysis up to 405B. CoRR abs/2409.11055 (2024) - 2023
- [j6]Rafael C. F. Sousa, Márcio Machado Pereira, Yongin Kwon, Taeho Kim, Namsoon Jung, Chang Soo Kim, Michael Frank, Guido Araujo:
Tensor slicing and optimization for multicore NPUs. J. Parallel Distributed Comput. 175: 66-79 (2023) - [i4]Jemin Lee, Yongin Kwon, Jeman Park, Misun Yu, Hwanjun Song:
Q-HyViT: Post-Training Quantization for Hybrid Vision Transformer with Bridge Block Reconstruction. CoRR abs/2303.12557 (2023) - [i3]Rafael C. F. Sousa, Márcio Machado Pereira, Yongin Kwon, Taeho Kim, Namsoon Jung, Chang Soo Kim, Michael Frank, Guido Araujo:
Tensor Slicing and Optimization for Multicore NPUs. CoRR abs/2304.03013 (2023) - 2022
- [j5]Jemin Lee
Quantune: Post-training quantization of convolutional neural networks using extreme gradient boosting for fast deployment. Future Gener. Comput. Syst. 132: 124-135 (2022) - [c4]Taeho Kim, Yongin Kwon, Jemin Lee, Taeho Kim, Sangtae Ha:
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution. ECCV (20) 2022: 651-667 - [i2]Jemin Lee, Misun Yu, Yongin Kwon, Taeho Kim:
Quantune: Post-training Quantization of Convolutional Neural Networks using Extreme Gradient Boosting for Fast Deployment. CoRR abs/2202.05048 (2022) - [i1]Taeho Kim
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution. CoRR abs/2207.01260 (2022)
2010 – 2019
- 2019
- [j4]Junmo Park, Yongin Kwon, Yongjun Park, Dongsuk Jeon
Microarchitecture-Aware Code Generation for Deep Learning on Single-ISA Heterogeneous Multi-Core Mobile Processors. IEEE Access 7: 52371-52378 (2019) - 2016
- [j3]Yongin Kwon
Precise execution offloading for applications with dynamic behavior in mobile cloud computing. Pervasive Mob. Comput. 27: 58-74 (2016) - 2015
- [j2]Yongin Kwon, Sangmin Lee, Hayoon Yi, Donghyun Kwon, Seungjun Yang, Byung-Gon Chun, Ling Huang, Petros Maniatis, Mayur Naik, Yunheung Paek:
Mantis: Efficient Predictions of Execution Time, Energy Usage, Memory Usage and Network Usage on Smart Mobile Devices. IEEE Trans. Mob. Comput. 14(10): 2059-2072 (2015) - 2014
- [j1]Seungjun Yang, Donghyun Kwon, Hayoon Yi, Yeongpil Cho, Yongin Kwon, Yunheung Paek:
Techniques to Minimize State Transfer Costs for Dynamic Execution Offloading in Mobile Cloud Computing. IEEE Trans. Mob. Comput. 13(11): 2648-2660 (2014) - [c3]Dongju Chae, Jihun Kim, Jangwoo Kim, Jong Kim, Seungjun Yang, Yeongpil Cho, Yongin Kwon, Yunheung Paek:
CMcloud: Cloud Platform for Cost-Effective Offloading of Mobile Applications. CCGRID 2014: 434-444 - 2013
- [c2]Seungjun Yang, Yongin Kwon, Yeongpil Cho, Hayoon Yi, Donghyun Kwon, Jonghee M. Youn, Yunheung Paek:
Fast dynamic execution offloading for efficient mobile cloud computing. PerCom 2013: 20-28 - [c1]Yongin Kwon, Sangmin Lee, Hayoon Yi, Donghyun Kwon, Seungjun Yang, Byung-Gon Chun, Ling Huang, Petros Maniatis, Mayur Naik, Yunheung Paek:
Mantis: Automatic Performance Prediction for Smartphone Applications. USENIX ATC 2013: 297-308
Coauthor Index
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