We stand with Ukraine

We stand with Ukraine

Younggeun Kim

Orcid: 0000-0003-4713-819X

Affiliations:

Korea University, Department of Computer Science, Seoul, Korea (PhD 2018)

According to our database¹, Younggeun Kim authored at least 30 papers between 2014 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2025

GreenScale: Carbon Optimization for Edge Computing.

[BibT_eX]

[DOI]

,

,

,

,

Valeria Bertacco

,

,

IEEE Internet Things J., August, 2025

Energy-Efficient, Delay-Constrained Edge Computing of a Network of DNNs.

[BibT_eX]

[DOI]

,

Soroush Heidari

,

,

,

Sarma B. K. Vrudhula

IEEE Trans. Computers, February, 2025

2024

Near-Memory Computing With Compressed Embedding Table for Personalized Recommendation.

[BibT_eX]

[DOI]

,

,

,

Farinaz Koushanfar

,

IEEE Trans. Emerg. Top. Comput., 2024

Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models.

[BibT_eX]

[DOI]

,

,

,

CoRR, 2024

HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning.

[BibT_eX]

[DOI]

,

,

Soroush Heidari

,

,

,

Sarma B. K. Vrudhula

,

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

CLOVER: Carbon Optimization of Federated Learning over Heterogeneous Clients.

[BibT_eX]

[DOI]

,

,

,

Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024

Mediator: Characterizing and Optimizing Multi-DNN Inference for Energy Efficient Edge Intelligence.

[BibT_eX]

[DOI]

,

Myung Jae Chung

,

,

Proceedings of the IEEE International Symposium on Workload Characterization, 2024

Elastic Execution of Multi-Tenant DNNs on Heterogeneous Edge MPSoCs.

[BibT_eX]

[DOI]

Soroush Heidari

,

,

,

,

Sarma B. K. Vrudhula

Proceedings of the IEEE/ACM Symposium on Edge Computing, 2024

2023

GreenScale: Carbon-Aware Systems for Edge Computing.

[BibT_eX]

[DOI]

,

,

,

,

Valeria Bertacco

,

,

CoRR, 2023

AMBITION: Ambient Temperature Aware VM Allocation for Edge Data Centers.

[BibT_eX]

[DOI]

,

,

,

,

IEEE Access, 2023

2022

CAMDNN: Content-Aware Mapping of a Network of Deep Neural Networks on Edge MPSoCs.

[BibT_eX]

[DOI]

Soroush Heidari

,

,

,

,

Sarma B. K. Vrudhula

IEEE Trans. Computers, 2022

Chasing Carbon: The Elusive Environmental Footprint of Computing.

[BibT_eX]

[DOI]

,

,

,

,

Hsien-Hsin S. Lee

,

,

,

IEEE Micro, 2022

FedGPO: Heterogeneity-Aware Global Parameter optimization for Efficient Federated Learning.

[BibT_eX]

[DOI]

,

Proceedings of the IEEE International Symposium on Workload Characterization, 2022

2021

Thermal-aware adaptive VM allocation considering server locations in heterogeneous data centers.

[BibT_eX]

[DOI]

,

,

,

J. Syst. Archit., 2021

Energy-Efficient Mapping for a Network of DNN Models at the Edge.

[BibT_eX]

[DOI]

,

Soroush Heidari

,

,

,

,

Sarma B. K. Vrudhula

Proceedings of the IEEE International Conference on Smart Computing, 2021

AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning.

[BibT_eX]

[DOI]

,

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

2020

Signal Strength-Aware Adaptive Offloading with Local Image Preprocessing for Energy Efficient Mobile Devices.

[BibT_eX]

[DOI]

,

,

IEEE Trans. Computers, 2020

An Adaptive Thermal Management Framework for Heterogeneous Multi-Core Processors.

[BibT_eX]

[DOI]

,

,

,

IEEE Trans. Computers, 2020

AutoScale: Optimizing Energy Efficiency of End-to-End Edge Inference under Stochastic Variance.

[BibT_eX]

[DOI]

,

CoRR, 2020

AutoScale: Energy Efficiency Optimization for Stochastic Edge Inference Using Reinforcement Learning.

[BibT_eX]

[DOI]

,

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

2019

Memory streaming acceleration for embedded systems with CPU-accelerator cooperative data processing.

[BibT_eX]

[DOI]

,

,

,

Microprocess. Microsystems, 2019

Temperature-aware Adaptive VM Allocation in Heterogeneous Data Centers.

[BibT_eX]

[DOI]

,

,

,

,

Proceedings of the 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, 2019

A Framework for Distributed Deep Neural Network Training with Heterogeneous Computing Platforms.

[BibT_eX]

[DOI]

,

,

,

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

2018

A Survey on Recent OS-Level Energy Management Techniques for Mobile Processing Units.

[BibT_eX]

[DOI]

,

,

IEEE Trans. Parallel Distributed Syst., 2018

2017

Enhancing Energy Efficiency of Multimedia Applications in Heterogeneous Mobile Multi-Core Processors.

[BibT_eX]

[DOI]

,

,

IEEE Trans. Computers, 2017

Signal strength-aware adaptive offloading for energy efficient mobile devices.

[BibT_eX]

[DOI]

,

Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017

An energy-efficient task scheduler for mobile web browsing.

[BibT_eX]

[DOI]

,

,

Proceedings of the IEEE International Conference on Consumer Electronics, 2017

2015

Stabilizing CPU Frequency and Voltage for Temperature-Aware DVFS in Mobile Devices.

[BibT_eX]

[DOI]

,

,

IEEE Trans. Computers, 2015

M-DTM: migration-based dynamic thermal management for heterogeneous mobile multi-core processors.

[BibT_eX]

[DOI]

,

,

,

Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

2014

Measuring Variance between Smartphone Energy Consumption and Battery Life.

[BibT_eX]

[DOI]

,

,

,

Computer, 2014

Loading...