Restructuring Batch Normalization to Accelerate CNN Training. - Wonkyung Jung; Daejin Jung; Byeongho Kim; Sunjung Lee; Wonjong Rhee; Jung Ho Ahn (SysML, 2019)

Accelerating Number Theoretic Transformations for Bootstrappable Homomorphic Encryption on GPUs. - Sangpyo Kim; Wonkyung Jung; Jaiyoung Park; Jung Ho Ahn (IISWC, 2020)

HEAAN Demystified: Accelerating Fully Homomorphic Encryption Through Architecture-centric Analysis and Optimization. - Wonkyung Jung; Eojin Lee; Sangpyo Kim; Keewoo Lee; Namhoon Kim; Chohong Min; Jung Hee Cheon; Jung Ho Ahn (CoRR, 2020)

MViD: Sparse Matrix-Vector Multiplication in Mobile DRAM for Accelerating Recurrent Neural Networks. - Byeongho Kim; Jongwook Chung; Eojin Lee; Wonkyung Jung; Sunjung Lee; Jaewan Choi; Jaehyun Park 006; Minbok Wi; Sukhan Lee 002; Jung Ho Ahn (IEEE Trans. Computers, 2020)

Accelerating Fully Homomorphic Encryption Through Microarchitecture-Aware Analysis and Optimization. - Wonkyung Jung; Eojin Lee; Sangpyo Kim; Namhoon Kim; Keewoo Lee; Chohong Min; Jung Hee Cheon; Jung Ho Ahn (ISPASS, 2021)

Accelerating Fully Homomorphic Encryption Through Architecture-Centric Analysis and Optimization. - Wonkyung Jung; Eojin Lee; Sangpyo Kim; Jongmin Kim 007; Namhoon Kim; Keewoo Lee; Chohong Min; Jung Hee Cheon; Jung Ho Ahn (IEEE Access, 2021)

Predicting pressure injury using nursing assessment phenotypes and machine learning methods. - Wenyu Song; Min-Jeoung Kang; Linying Zhang; Wonkyung Jung; Jiyoun Song; David W. Bates; Patricia C. Dykes (J. Am. Medical Informatics Assoc., 2021)

Over 100x Faster Bootstrapping in Fully Homomorphic Encryption through Memory-centric Optimization with GPUs. - Wonkyung Jung; Sangpyo Kim; Jung Ho Ahn; Jung Hee Cheon; Younho Lee (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2021)

BTS: an accelerator for bootstrappable fully homomorphic encryption. - Sangpyo Kim; Jongmin Kim 007; Michael Jaemin Kim; Wonkyung Jung; John Kim 001; Minsoo Rhu; Jung Ho Ahn (ISCA, 2022)

AI for Patents: A Novel Yet Effective and Efficient Framework for Patent Analysis. - Junyoung Son; Hyeonseok Moon; Jeongwoo Lee; Seolhwa Lee; Chanjun Park; Wonkyung Jung; Heuiseok Lim (IEEE Access, 2022)

AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast Private Inference. - Jaiyoung Park; Michael Jaemin Kim; Wonkyung Jung; Jung Ho Ahn (CoRR, 2022)

MVP: An Efficient CNN Accelerator with Matrix, Vector, and Processing-Near-Memory Units. - Sunjung Lee; Jaewan Choi; Wonkyung Jung; Byeongho Kim; Jaehyun Park 006; Hweesoo Kim; Jung Ho Ahn (ACM Trans. Design Autom. Electr. Syst., 2022)

OCELOT: Overlapped Cell on Tissue Dataset for Histopathology. - Jeongun Ryu; Aaron Valero Puche; Jaewoong Shin; Seonwook Park; Biagio Brattoli; Jinhee Lee; Wonkyung Jung; Soo Ick Cho; Kyunghyun Paeng; Chan-Young Ock; Donggeun Yoo; Sérgio Pereira (CVPR, 2023)

Toward Practical Privacy-Preserving Convolutional Neural Networks Exploiting Fully Homomorphic Encryption. - Jaiyoung Park; Donghwan Kim; Jongmin Kim 007; Sangpyo Kim; Wonkyung Jung; Jung Hee Cheon; Jung Ho Ahn (CoRR, 2023)

Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer. - Biagio Brattoli; Mohammad Mostafavi; Taebum Lee; Wonkyung Jung; Jeongun Ryu; Seonwook Park; Jongchan Park; Sérgio Pereira; Seunghwan Shin; Sangjoon Choi; Hyojin Kim; Donggeun Yoo; et al. (CoRR, 2024)

OCELOT 2023: Cell detection from cell-tissue interaction challenge. - Jaewoong Shin; Jeongun Ryu; Aaron Valero Puche; Jinhee Lee; Biagio Brattoli; Wonkyung Jung; Soo Ick Cho; Kyunghyun Paeng; Chan-Young Ock; Donggeun Yoo; Zhaoyang Li; Wangkai Li; et al. (Medical Image Anal., 2025)