Wonkyung Jung

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Convolutional Neural Network

Machine Learning

Homomorphic Encryption

Top Venues

IACR Trans. Cryptogr. Hardw. Embed. Syst.

Publications

Biagio Brattoli, Mohammad Mostafavi, Taebum Lee, Wonkyung Jung, Jeongun Ryu, Seonwook Park, Jongchan Park, Sérgio Pereira, Seunghwan Shin, Sangjoon Choi, Hyojin Kim, Donggeun Yoo, Siraj M. Ali, Kyunghyun Paeng, Chan-Young Ock, Soo Ick Cho, Seokhwi Kim
Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer. CoRR (2024)
Jaiyoung Park, Donghwan Kim, Jongmin Kim, Sangpyo Kim, Wonkyung Jung, Jung Hee Cheon, Jung Ho Ahn
Toward Practical Privacy-Preserving Convolutional Neural Networks Exploiting Fully Homomorphic Encryption. CoRR (2023)
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
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology. CoRR (2023)
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
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology. CVPR (2023)
Junyoung Son, Hyeonseok Moon, Jeongwoo Lee, Seolhwa Lee, Chanjun Park, Wonkyung Jung, Heuiseok Lim
AI for Patents: A Novel Yet Effective and Efficient Framework for Patent Analysis. IEEE Access 10 (2022)
Sunjung Lee, Jaewan Choi, Wonkyung Jung, Byeongho Kim, Jaehyun Park, Hweesoo Kim, Jung Ho Ahn
MVP: An Efficient CNN Accelerator with Matrix, Vector, and Processing-Near-Memory Units. ACM Trans. Design Autom. Electr. Syst. 27 (5) (2022)
Sangpyo Kim, Jongmin Kim, Michael Jaemin Kim, Wonkyung Jung, John Kim, Minsoo Rhu, Jung Ho Ahn
BTS: an accelerator for bootstrappable fully homomorphic encryption. ISCA (2022)
Jaiyoung Park, Michael Jaemin Kim, Wonkyung Jung, Jung Ho Ahn
AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast Private Inference. CoRR (2022)
Wonkyung Jung, Eojin Lee, Sangpyo Kim, Jongmin Kim, Namhoon Kim, Keewoo Lee, Chohong Min, Jung Hee Cheon, Jung Ho Ahn
Accelerating Fully Homomorphic Encryption Through Architecture-Centric Analysis and Optimization. IEEE Access 9 (2021)
Sangpyo Kim, Jongmin Kim, Michael Jaemin Kim, Wonkyung Jung, Minsoo Rhu, John Kim, Jung Ho Ahn
BTS: An Accelerator for Bootstrappable Fully Homomorphic Encryption. CoRR (2021)
Wonkyung Jung, Sangpyo Kim, Jung Ho Ahn, Jung Hee Cheon, Younho Lee
Over 100x Faster Bootstrapping in Fully Homomorphic Encryption through Memory-centric Optimization with GPUs. IACR Cryptol. ePrint Arch. 2021 (2021)
Wonkyung Jung, Eojin Lee, Sangpyo Kim, Namhoon Kim, Keewoo Lee, Chohong Min, Jung Hee Cheon, Jung Ho Ahn
Accelerating Fully Homomorphic Encryption Through Microarchitecture-Aware Analysis and Optimization. ISPASS (2021)
Wonkyung Jung, Sangpyo Kim, Jung Ho Ahn, Jung Hee Cheon, Younho Lee
Over 100x Faster Bootstrapping in Fully Homomorphic Encryption through Memory-centric Optimization with GPUs. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2021 (4) (2021)
Wenyu Song, Min-Jeoung Kang, Linying Zhang, Wonkyung Jung, Jiyoun Song, David W. Bates, Patricia C. Dykes
Predicting pressure injury using nursing assessment phenotypes and machine learning methods. J. Am. Medical Informatics Assoc. 28 (4) (2021)
Wonkyung Jung, Eojin Lee, Sangpyo Kim, Keewoo Lee, Namhoon Kim, Chohong Min, Jung Hee Cheon, Jung Ho Ahn
HEAAN Demystified: Accelerating Fully Homomorphic Encryption Through Architecture-centric Analysis and Optimization. CoRR (2020)
Sangpyo Kim, Wonkyung Jung, Jaiyoung Park, Jung Ho Ahn
Accelerating Number Theoretic Transformations for Bootstrappable Homomorphic Encryption on GPUs. IISWC (2020)
Byeongho Kim, Jongwook Chung, Eojin Lee, Wonkyung Jung, Sunjung Lee, Jaewan Choi, Jaehyun Park, Minbok Wi, Sukhan Lee, Jung Ho Ahn
MViD: Sparse Matrix-Vector Multiplication in Mobile DRAM for Accelerating Recurrent Neural Networks. IEEE Trans. Computers 69 (7) (2020)
Sangpyo Kim, Wonkyung Jung, Jaiyoung Park, Jung Ho Ahn
Accelerating Number Theoretic Transformations for Bootstrappable Homomorphic Encryption on GPUs. CoRR (2020)
Wonkyung Jung, Daejin Jung, Byeongho Kim, Sunjung Lee, Wonjong Rhee, Jung Ho Ahn
Restructuring Batch Normalization to Accelerate CNN Training. MLSys (2019)
Daejin Jung, Wonkyung Jung, Byeongho Kim, Sunjung Lee, Wonjong Rhee, Jung Ho Ahn
Restructuring Batch Normalization to Accelerate CNN Training. CoRR (2018)