Measuring Variance between Smartphone Energy Consumption and Battery Life. - Minyong Kim; Young Geun Kim 001; Sung Woo Chung; Cheol Hong Kim (Computer, 2014)

M-DTM: migration-based dynamic thermal management for heterogeneous mobile multi-core processors. - Young-geun Kim 001; Minyong Kim; Jae Min Kim; Sung Woo Chung (DATE, 2015)

Stabilizing CPU Frequency and Voltage for Temperature-Aware DVFS in Mobile Devices. - Jae Min Kim; Young Geun Kim 001; Sung Woo Chung (IEEE Trans. Computers, 2015)

An energy-efficient task scheduler for mobile web browsing. - Sang Jun Nam; Young Geun Kim 001; Sung Woo Chung (ICCE, 2017)

Signal strength-aware adaptive offloading for energy efficient mobile devices. - Young Geun Kim 001; Sung Woo Chung (ISLPED, 2017)

Enhancing Energy Efficiency of Multimedia Applications in Heterogeneous Mobile Multi-Core Processors. - Young Geun Kim 001; Minyong Kim; Sung Woo Chung (IEEE Trans. Computers, 2017)

A Survey on Recent OS-Level Energy Management Techniques for Mobile Processing Units. - Young Geun Kim 001; Joonho Kong; Sung Woo Chung (IEEE Trans. Parallel Distributed Syst., 2018)

A Framework for Distributed Deep Neural Network Training with Heterogeneous Computing Platforms. - Bontak Gu; Joonho Kong; Arslan Munir; Young Geun Kim 001 (ICPADS, 2019)

Temperature-aware Adaptive VM Allocation in Heterogeneous Data Centers. - Young Geun Kim 001; Jeong In Kim; Seung Hun Choi; Seon Young Kim; Sung Woo Chung (ISLPED, 2019)

Memory streaming acceleration for embedded systems with CPU-accelerator cooperative data processing. - Kwangho Lee; Joonho Kong; Young Geun Kim 001; Sung Woo Chung (Microprocess. Microsystems, 2019)

AutoScale: Energy Efficiency Optimization for Stochastic Edge Inference Using Reinforcement Learning. - Young Geun Kim 001; Carole-Jean Wu (MICRO, 2020)

AutoScale: Optimizing Energy Efficiency of End-to-End Edge Inference under Stochastic Variance. - Young Geun Kim 001; Carole-Jean Wu (CoRR, 2020)

An Adaptive Thermal Management Framework for Heterogeneous Multi-Core Processors. - Young Geun Kim 001; Minyong Kim; Joonho Kong; Sung Woo Chung (IEEE Trans. Computers, 2020)

Signal Strength-Aware Adaptive Offloading with Local Image Preprocessing for Energy Efficient Mobile Devices. - Young Geun Kim 001; Young Seo Lee; Sung Woo Chung (IEEE Trans. Computers, 2020)

AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning. - Young Geun Kim 001; Carole-Jean Wu (MICRO, 2021)

Energy-Efficient Mapping for a Network of DNN Models at the Edge. - Mehdi Ghasemi 003; Soroush Heidari; Young Geun Kim 001; Aaron Lamb; Carole-Jean Wu; Sarma B. K. Vrudhula (SMARTCOMP, 2021)

Thermal-aware adaptive VM allocation considering server locations in heterogeneous data centers. - Young Geun Kim 001; Seon Young Kim; Seung Hun Choi; Sung Woo Chung (J. Syst. Archit., 2021)

FedGPO: Heterogeneity-Aware Global Parameter optimization for Efficient Federated Learning. - Young Geun Kim 001; Carole-Jean Wu (IISWC, 2022)

Chasing Carbon: The Elusive Environmental Footprint of Computing. - Udit Gupta; Young Geun Kim 001; Sylvia Lee; Jordan Tse; Hsien-Hsin S. Lee; Gu-Yeon Wei; David Brooks 001; Carole-Jean Wu (IEEE Micro, 2022)

CAMDNN: Content-Aware Mapping of a Network of Deep Neural Networks on Edge MPSoCs. - Soroush Heidari; Mehdi Ghasemi 003; Young Geun Kim 001; Carole-Jean Wu; Sarma B. K. Vrudhula (IEEE Trans. Computers, 2022)

AMBITION: Ambient Temperature Aware VM Allocation for Edge Data Centers. - Seung Hun Choi; Seon Young Kim; Young Geun Kim 001; Joonho Kong; Sung Woo Chung (IEEE Access, 2023)

GreenScale: Carbon-Aware Systems for Edge Computing. - Young Geun Kim 001; Udit Gupta; Andrew McCrabb; Yonglak Son; Valeria Bertacco; David Brooks 001; Carole-Jean Wu (CoRR, 2023)

Elastic Execution of Multi-Tenant DNNs on Heterogeneous Edge MPSoCs. - Soroush Heidari; Mehdi Ghasemi 003; Young Geun Kim 001; Carole-Jean Wu; Sarma B. K. Vrudhula (SEC, 2024)

Mediator: Characterizing and Optimizing Multi-DNN Inference for Energy Efficient Edge Intelligence. - Seung Hun Choi; Myung Jae Chung; Young Geun Kim 001; Sung Woo Chung (IISWC, 2024)

CLOVER: Carbon Optimization of Federated Learning over Heterogeneous Clients. - Chanwoo Cho; Yonglak Son; Seongbin Park; Young Geun Kim 001 (ISLPED, 2024)

HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning. - Gyudong Kim; Mehdi Ghasemi 003; Soroush Heidari; Seungryong Kim; Young Geun Kim 001; Sarma B. K. Vrudhula; Carole-Jean Wu (MLSys, 2024)

Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models. - Hyegang Son; Yonglak Son; Changhoon Kim; Young Geun Kim 001 (CoRR, 2024)

Near-Memory Computing With Compressed Embedding Table for Personalized Recommendation. - Jeongmin Lim; Young Geun Kim 001; Sung Woo Chung; Farinaz Koushanfar; Joonho Kong (IEEE Trans. Emerg. Top. Comput., 2024)

Energy-Efficient, Delay-Constrained Edge Computing of a Network of DNNs. - Mehdi Ghasemi 003; Soroush Heidari; Young Geun Kim 001; Carole-Jean Wu; Sarma B. K. Vrudhula (IEEE Trans. Computers, 2025)

GreenScale: Carbon Optimization for Edge Computing. - Yonglak Son; Udit Gupta; Andrew McCrabb; Young-geun Kim 001; Valeria Bertacco; David Brooks 001; Carole-Jean Wu (IEEE Internet Things J., 2025)