Convex Integration and Infinitely Many Weak Solutions to the Perona-Malik Equation in All Dimensions. - Seonghak Kim; Baisheng Yan (SIAM J. Math. Anal., 2015)

A portable, automatic data qantizer for deep neural networks. - Young H. Oh; Quan Quan; Daeyeon Kim; Seonghak Kim; Jun Heo 001; Sungjun Jung; Jaeyoung Jang; Jae W. Lee (PACT, 2018)

Convex Integration for Scalar Conservation Laws in One Space Dimension. - Hoang-Hung Vo; Seonghak Kim (SIAM J. Math. Anal., 2018)

Charon: Specialized Near-Memory Processing Architecture for Clearing Dead Objects in Memory. - Jaeyoung Jang; Jun Heo 001; Yejin Lee 001; Jaeyeon Won; Seonghak Kim; Sungjun Jung; Hakbeom Jang; Tae Jun Ham; Jae W. Lee (MICRO, 2019)

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 002; Kyoung Park; Jae W. Lee; Deog-Kyoon Jeong (HPCA, 2020)

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 001; Yeonhong Park; Dong Uk Kim; Tae Jun Ham; Jae W. Lee (HPCA, 2021)

EvalRound Algorithm in CKKS Bootstrapping. - Seonghak Kim; Minji Park; Jaehyung Kim 002; Taekyung Kim; Chohong Min (IACR Cryptol. ePrint Arch., 2022)

Time splitting method for nonlinear Schrödinger equation with rough initial data in L2. - Hyung Jun Choi; Seonghak Kim; Youngwoo Koh (CoRR, 2023)

Cosine Similarity Knowledge Distillation for Individual Class Information Transfer. - Gyeongdo Ham; Seonghak Kim; Suin Lee; Jae-Hyeok Lee 001; Daeshik Kim (CoRR, 2023)

Maximizing Discrimination Capability of Knowledge Distillation with Energy-based Score. - Seonghak Kim; Gyeongdo Ham; Suin Lee; Donggon Jang; Daeshik Kim (CoRR, 2023)

Robust Unsupervised Domain Adaptation through Negative-View Regularization. - Joonhyeok Jang; Sunhyeok Lee; Seonghak Kim; Jung-Un Kim; Seonghyun Kim; Daeshik Kim (WACV, 2024)

Maximizing discrimination capability of knowledge distillation with energy function. - Seonghak Kim; Gyeongdo Ham; Suin Lee; Donggon Jang; Daeshik Kim (Knowl. Based Syst., 2024)

Robustness-Reinforced Knowledge Distillation With Correlation Distance and Network Pruning. - Seonghak Kim; Gyeongdo Ham; Yucheol Cho; Daeshik Kim (IEEE Trans. Knowl. Data Eng., 2024)

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)

FiGKD: Fine-Grained Knowledge Distillation via High-Frequency Detail Transfer. - Seonghak Kim (CoRR, 2025)

Biased Teacher, Balanced Student. - Seonghak Kim (CoRR, 2025)