Junkyu Lee

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2026
Learning Ictal HRV Patterns for Seizure Prediction: A Seizure-Centered One-Class Deep Learning Approach.
IEEE Access, 2026

2025
SGuard-v1: Safety Guardrail for Large Language Models.
CoRR, November, 2025

Software-Defined Number Formats for High-Speed Belief Propagation.
IEEE Trans. Emerg. Top. Comput., 2025

Vortex Feature Positioning: Bridging tabular IIoT data and image-based deep learning.
Internet Things, 2025

Unlocking the power of 4G/5G mobile networks: An empirical dive into quality and energy efficiency in YouTube Edge services.
Comput. Networks, 2025

Learning Graph Edit Distance via Node Matching Patterns.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
Fast, Scalable, Energy-Efficient Non-element-wise Matrix Multiplication on FPGA.
CoRR, 2024

The Effects of Weight Quantization on Online Federated Learning for the IoT: A Case Study.
IEEE Access, 2024

Do 5G Networks Achieve The Proclaimed Promises? An Empirical Study Using YouTube Edge Service.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2024

2023
Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques.
ACM Comput. Surv., 2023

A case study on latency, bandwidth and energy efficiency of mobile 5G and YouTube Edge service in London. Why the 5G ecosystem and energy efficiency matter?
CoRR, 2023

ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022
Increased Leverage of Transprecision Computing for Machine Vision Applications at the Edge.
J. Signal Process. Syst., 2022

Mixed-Precision Kernel Recursive Least Squares.
IEEE Trans. Neural Networks Learn. Syst., 2022

Comparison of Two Microcontroller Boards for On-Device Model Training in a Keyword Spotting Task.
Proceedings of the 11th Mediterranean Conference on Embedded Computing, 2022

2021
Towards Lower Precision Adaptive Filters: Facts From Backward Error Analysis of RLS.
IEEE Trans. Signal Process., 2021

Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques.
CoRR, 2021

TOD: Transprecise Object Detection to Maximise Real-Time Accuracy on the Edge.
Proceedings of the 5th IEEE International Conference on Fog and Edge Computing, 2021

2020
AIR: Iterative refinement acceleration using arbitrary dynamic precision.
Parallel Comput., 2020

2018
Energy-Efficient Iterative Refinement Using Dynamic Precision.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

2017
The First 25 Years of the FPL Conference: Significant Papers.
ACM Trans. Reconfigurable Technol. Syst., 2017

FPGA Implementations of Kernel Normalised Least Mean Squares Processors.
ACM Trans. Reconfigurable Technol. Syst., 2017

2015
Significant papers from the first 25 years of the FPL conference.
Proceedings of the 25th International Conference on Field Programmable Logic and Applications, 2015

A fully pipelined kernel normalised least mean squares processor for accelerated parameter optimisation.
Proceedings of the 25th International Conference on Field Programmable Logic and Applications, 2015

2010
Implementation of Hardware-Accelerated Scalable Parallel Random Number Generators.
VLSI Design, 2010

2009
HASPRNG: Hardware Accelerated Scalable Parallel Random Number Generators.
Comput. Phys. Commun., 2009


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