Method of switching video track using composition information over MMT. - Jeonho Kang; Seonghwan Park; Kyuheon Kim (ICIMCS, 2015)

Frame Control-Based Terrestrial UHD (ATSC 3.0) Buffer Model for Dynamic Content Insertion. - Seonghwan Park; Junsik Kim 002; Sangjin Kim; Doug Young Suh; Kyuheon Kim (IEEE Access, 2021)

Enhancement of 3D Point Cloud Contents Using 2D Image Super Resolution Network. - Seonghwan Park; Junsik Kim 002; Yonghae Hwang; Doug Young Suh; Kyuheon Kim (J. Web Eng., 2022)

Bratter: An Instruction Set Extension for Forward Control-Flow Integrity in RISC-V. - Seonghwan Park; Dongwook Kang; Jeonghwan Kang; Donghyun Kwon (Sensors, 2022)

Deep Learning-Based Phenotypic Assessment of Red Cell Storage Lesions for Safe Transfusions. - Eunji Kim; Seonghwan Park; Seunghyeon Hwang; Inkyu Moon; Bahram Javidi (IEEE J. Biomed. Health Informatics, 2022)

metaSafer: A Technique to Detect Heap Metadata Corruption in WebAssembly. - Suhyeon Song; Seonghwan Park; Donghyun Kwon (IEEE Access, 2023)

FedFwd: Federated Learning without Backpropagation. - Seonghwan Park; Dahun Shin; Jinseok Chung; Namhoon Lee (CoRR, 2023)

Automated Classical Cipher Emulation Attacks via Unified Unsupervised Generative Adversarial Networks. - Seonghwan Park; Hyunil Kim; Inkyu Moon (Cryptogr., 2023)

MECAT: Memory-Safe Smart Contracts in ARM TrustZone. - Seonghwan Park; Hayoung Kang; Sanghun Han; Jonghee M. Youn; Donghyun Kwon (IEEE Access, 2024)

ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models. - Seonghwan Park; Jaehyeon Jeong; Yongjun Kim; Jaeho Lee 001; Namhoon Lee (ICLR, 2025)

Automated phenotypic analysis and classification of drug-treated cardiomyocytes via synergized time-lapse holographic imaging and deep learning. - Ezat Ahmadzadeh; Seonghwan Park; Youhyun Kim; Inkyu Moon (Comput. Methods Programs Biomed., 2025)

HoloFluoNet: Live cell imaging intelligence based on fused holography and fluorescence for virtual staining, cell segmentation, classification, and viability analysis. - Seonghwan Park; Jaeseong Lee; Jaewoo Park; Inkyu Moon (Eng. Appl. Artif. Intell., 2025)

An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations. - Seonghwan Park; Jueun Mun; Donghyun Oh; Namhoon Lee (CoRR, 2025)