Wonkyung Jung

Orcid: 0000-0001-8360-5176

According to our database1, Wonkyung Jung authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

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

OCELOT: Overlapped Cell on Tissue Dataset for Histopathology.
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

AI for Patents: A Novel Yet Effective and Efficient Framework for Patent Analysis.
IEEE Access, 2022

BTS: an accelerator for bootstrappable fully homomorphic encryption.
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
Restructuring Batch Normalization to Accelerate CNN Training.
Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019


  Loading...