Yongin Kwon

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 13

Top Topics

Gradient Boosting

Cloud Computing

Top Venues

IEEE Trans. Mob. Comput.

Pervasive Mob. Comput.

Publications

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 (2024)
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 (2024)
Gihwan Kim, Jemin Lee, Sihyeong Park, Yongin Kwon, Hyungshin Kim
Mixed Non-linear Quantization for Vision Transformers. CoRR (2024)
Rafael C. F. Sousa, Marcio Pereira, Yongin Kwon, Taeho Kim, Namsoon Jung, Chang Soo Kim, Michael Frank, Guido Araujo
Tensor Slicing and Optimization for Multicore NPUs. CoRR (2023)
Jemin Lee, Yongin Kwon, Jeman Park, Misun Yu, Hwanjun Song
Q-HyViT: Post-Training Quantization for Hybrid Vision Transformer with Bridge Block Reconstruction. CoRR (2023)
Rafael C. F. Sousa, Marcio 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 (2023)
Taeho Kim, Yongin Kwon, Jemin Lee, Taeho Kim, Sangtae Ha
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution. CoRR (2022)
Jemin Lee, Misun Yu, Yongin Kwon, Taeho Kim
Quantune: Post-training Quantization of Convolutional Neural Networks using Extreme Gradient Boosting for Fast Deployment. CoRR (2022)
Taeho Kim, Yongin Kwon, Jemin Lee, Taeho Kim, Sangtae Ha
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution. ECCV (20) (2022)
Jemin Lee, Misun Yu, Yongin Kwon, Taeho Kim
Quantune: Post-training quantization of convolutional neural networks using extreme gradient boosting for fast deployment. Future Gener. Comput. Syst. 132 (2022)
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 (2019)
Yongin Kwon, Hayoon Yi, Donghyun Kwon, Seungjun Yang, Yeongpil Cho, Yunheung Paek
Precise execution offloading for applications with dynamic behavior in mobile cloud computing. Pervasive Mob. Comput. 27 (2016)
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) (2015)
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) (2014)
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)
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)
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 Annual Technical Conference (2013)