Seonghak Kim

According to our database, Seonghak Kim authored at least 19 papers between 2015 and 2026.

Collaborative distances:

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

2026

FiGKD: Fine-Grained knowledge distillation via high-Frequency detail transfer.

Seonghak Kim

Expert Syst. Appl., 2026

Meta-YOLO: Metadata-Guided Real-Time Object Detector in Aerial Imagery.

Deukryeol Yoon, Seonghak Kim, Young Hwa Sung, Jinho Jung

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

Biased Teacher, Balanced Student.

Seonghak Kim

CoRR, June, 2025

An asymptotic approximation of the solution for nearly tridiagonal quasi-Toeplitz linear systems.

Philsu Kim, Sangbeom Park, Seonghak Kim, Soyoon Bak

Math. Comput. Simul., 2025

Teach sample-specific knowledge: Separated distillation based on samples.

Seonghak Kim, Gyeongdo Ham, Suin Lee, Daeshik Kim

Eng. Appl. Artif. Intell., 2025

Grafting: Decoupled Scale Factors and Modulus in RNS-CKKS.

Jung Hee Cheon, Hyeongmin Choe, Minsik Kang, Jaehyung Kim, Seonghak Kim, Johannes Mono, Taeyeong Noh

Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025

2024

Robustness-Reinforced Knowledge Distillation With Correlation Distance and Network Pruning.

Seonghak Kim, Gyeongdo Ham, Yucheol Cho, Daeshik Kim

IEEE Trans. Knowl. Data Eng., December, 2024

Maximizing discrimination capability of knowledge distillation with energy function.

Seonghak Kim, Gyeongdo Ham, Suin Lee, Donggon Jang, Daeshik Kim

Knowl. Based Syst., 2024

Robust Unsupervised Domain Adaptation through Negative-View Regularization.

Joonhyeok Jang, Sunhyeok Lee, Seonghak Kim, Jung-Un Kim, Seonghyun Kim, Daeshik Kim

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Maximizing Discrimination Capability of Knowledge Distillation with Energy-based Score.

Seonghak Kim, Gyeongdo Ham, Suin Lee, Donggon Jang, Daeshik Kim

CoRR, 2023

Cosine Similarity Knowledge Distillation for Individual Class Information Transfer.

Gyeongdo Ham, Seonghak Kim, Suin Lee, Jae-Hyeok Lee, Daeshik Kim

CoRR, 2023

Time splitting method for nonlinear Schrödinger equation with rough initial data in L².

Hyung Jun Choi, Seonghak Kim, Youngwoo Koh

CoRR, 2023

2022

EvalRound Algorithm in CKKS Bootstrapping.

Seonghak Kim, Minji Park, Jaehyung Kim, Taekyung Kim, Chohong Min

Proceedings of the Advances in Cryptology - ASIACRYPT 2022, 2022

2021

Layerweaver: Maximizing Resource Utilization of Neural Processing Units via Layer-Wise Scheduling.

Young H. Oh, Seonghak Kim, Yunho Jin, Sam Son, Jonghyun Bae, Jongsung Lee, Yeonhong Park, Dong Uk Kim, Tae Jun Ham, Jae W. Lee

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020

A³: Accelerating Attention Mechanisms in Neural Networks with Approximation.

Tae Jun Ham, Sungjun Jung, Seonghak Kim, Young H. Oh, Yeonhong Park, Yoonho Song, Jung-Hun Park, Sanghee Lee, Kyoung Park, Jae W. Lee, Deog-Kyoon Jeong

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

2019

Charon: Specialized Near-Memory Processing Architecture for Clearing Dead Objects in Memory.

Jaeyoung Jang, Jun Heo, Yejin Lee, Jaeyeon Won, Seonghak Kim, Sungjun Jung, Hakbeom Jang, Tae Jun Ham, Jae W. Lee

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

2018

Convex Integration for Scalar Conservation Laws in One Space Dimension.

Hoang-Hung Vo, Seonghak Kim

SIAM J. Math. Anal., 2018

A portable, automatic data qantizer for deep neural networks.

Young H. Oh, Quan Quan, Daeyeon Kim, Seonghak Kim, Jun Heo, Sungjun Jung, Jaeyoung Jang, Jae W. Lee

Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, 2018

2015

Convex Integration and Infinitely Many Weak Solutions to the Perona-Malik Equation in All Dimensions.

Seonghak Kim, Baisheng Yan

SIAM J. Math. Anal., 2015