Wonkyung Jung
Orcid: 0000-0001-8360-5176
According to our database1,
Wonkyung Jung
authored at least 15 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer.
CoRR, 2024
2023
Toward Practical Privacy-Preserving Convolutional Neural Networks Exploiting Fully Homomorphic Encryption.
CoRR, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
MVP: An Efficient CNN Accelerator with Matrix, Vector, and Processing-Near-Memory Units.
ACM Trans. Design Autom. Electr. Syst., 2022
AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast Private Inference.
CoRR, 2022
IEEE Access, 2022
Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022
2021
Over 100x Faster Bootstrapping in Fully Homomorphic Encryption through Memory-centric Optimization with GPUs.
IACR Trans. Cryptogr. Hardw. Embed. Syst., 2021
Predicting pressure injury using nursing assessment phenotypes and machine learning methods.
J. Am. Medical Informatics Assoc., 2021
Accelerating Fully Homomorphic Encryption Through Architecture-Centric Analysis and Optimization.
IEEE Access, 2021
Accelerating Fully Homomorphic Encryption Through Microarchitecture-Aware Analysis and Optimization.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021
2020
MViD: Sparse Matrix-Vector Multiplication in Mobile DRAM for Accelerating Recurrent Neural Networks.
IEEE Trans. Computers, 2020
HEAAN Demystified: Accelerating Fully Homomorphic Encryption Through Architecture-centric Analysis and Optimization.
CoRR, 2020
Accelerating Number Theoretic Transformations for Bootstrappable Homomorphic Encryption on GPUs.
Proceedings of the IEEE International Symposium on Workload Characterization, 2020
2019
Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019