Yongin Kwon

According to our database, Yongin Kwon authored at least 16 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Q-HyViT: Post-Training Quantization of Hybrid Vision Transformers With Bridge Block Reconstruction for IoT Systems.

Jemin Lee, Yongin Kwon, Sihyeong Park, Misun Yu, Jeman Park, Hwanjun Song

IEEE Internet Things J., November, 2024

A Comprehensive Evaluation of Quantized Instruction-Tuned Large Language Models: An Experimental Analysis up to 405B.

Jemin Lee, Sihyeong Park, Jinse Kwon, Jihun Oh, Yongin Kwon

CoRR, 2024

Mixed Non-linear Quantization for Vision Transformers.

Gihwan Kim, Jemin Lee, Sihyeong Park, Yongin Kwon, Hyungshin Kim

CoRR, 2024

Visual Preference Inference: An Image Sequence-Based Preference Reasoning in Tabletop Object Manipulation.

Joonhyung Lee, Sangbeom Park, Yongin Kwon, Jemin Lee, Minwook Ahn, Sungjoon Choi

CoRR, 2024

LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs.

Taeho Kim, Yanming Wang, Vatshank Chaturvedi, Lokesh Gupta, Seyeon Kim, Yongin Kwon, Sangtae Ha

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Tensor slicing and optimization for multicore NPUs.

Rafael C. F. Sousa, Márcio Machado Pereira, Yongin Kwon, Taeho Kim, Namsoon Jung, Chang Soo Kim, Michael Frank, Guido Araujo

J. Parallel Distributed Comput., May, 2023

Q-HyViT: Post-Training Quantization for Hybrid Vision Transformer with Bridge Block Reconstruction.

Jemin Lee, Yongin Kwon, Jeman Park, Misun Yu, Hwanjun Song

CoRR, 2023

2022

Quantune: Post-training quantization of convolutional neural networks using extreme gradient boosting for fast deployment.

Jemin Lee, Misun Yu, Yongin Kwon, Taeho Kim

Future Gener. Comput. Syst., 2022

CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution.

Taeho Kim, Yongin Kwon, Jemin Lee, Taeho Kim, Sangtae Ha

Proceedings of the Computer Vision - ECCV 2022, 2022

2019

Microarchitecture-Aware Code Generation for Deep Learning on Single-ISA Heterogeneous Multi-Core Mobile Processors.

Junmo Park, Yongin Kwon, Yongjun Park, Dongsuk Jeon

IEEE Access, 2019

2016

Precise execution offloading for applications with dynamic behavior in mobile cloud computing.

Yongin Kwon, Hayoon Yi, Donghyun Kwon, Seungjun Yang, Yeongpil Cho, Yunheung Paek

Pervasive Mob. Comput., 2016

2015

Mantis: Efficient Predictions of Execution Time, Energy Usage, Memory Usage and Network Usage on Smart Mobile Devices.

Yongin Kwon, Sangmin Lee, Hayoon Yi, Donghyun Kwon, Seungjun Yang, Byung-Gon Chun, Ling Huang, Petros Maniatis, Mayur Naik, Yunheung Paek

IEEE Trans. Mob. Comput., 2015

2014

Techniques to Minimize State Transfer Costs for Dynamic Execution Offloading in Mobile Cloud Computing.

Seungjun Yang, Donghyun Kwon, Hayoon Yi, Yeongpil Cho, Yongin Kwon, Yunheung Paek

IEEE Trans. Mob. Comput., 2014

CMcloud: Cloud Platform for Cost-Effective Offloading of Mobile Applications.

Dongju Chae, Jihun Kim, Jangwoo Kim, Jong Kim, Seungjun Yang, Yeongpil Cho, Yongin Kwon, Yunheung Paek

Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

2013

Mantis: Automatic Performance Prediction for Smartphone Applications.

Yongin Kwon, Sangmin Lee, Hayoon Yi, Donghyun Kwon, Seungjun Yang, Byung-Gon Chun, Ling Huang, Petros Maniatis, Mayur Naik, Yunheung Paek

Proceedings of the 2013 USENIX Annual Technical Conference, 2013

Fast dynamic execution offloading for efficient mobile cloud computing.

Seungjun Yang, Yongin Kwon, Yeongpil Cho, Hayoon Yi, Donghyun Kwon, Jonghee M. Youn, Yunheung Paek

Proceedings of the 2013 IEEE International Conference on Pervasive Computing and Communications, 2013