Publications
Publications
[Google Scholar] (†: equally contributed, *: corresponding author)
International
2025
[IEEE IoTJ '25] GreenScale: Carbon Optimization for Edge Computing [paper]
Yonglak Son, Udit Gupta, Andrew McCrabb, Young Geun Kim*, Valeria Bertacco, David Brooks, and Carole-Jean Wu
IEEE Internet of Things Journal (IF 8.2, JCR Top 3.4%), accepted.
[NAACL '25] Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models [paper]
Hyegang Son†, Yonglak Son†, Changhoon Kim, Young Geun Kim*
In Proceedings of Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), 2025, Main Track - Oral
[TC '25] Energy-Efficient, Delay-Constrained Edge Computing of a Network of DNNs [paper]
Mehdi Ghasemi, Soroush Heidari, Young Geun Kim, Carole-Jean Wu, and Sarma Vrudhula
IEEE Transactions on Computers, vol. 74, no. 2, pp. 569-581. 2025.
2024
[SEC'24] Elastic Execution of Multi-Tenant DNNs on Heterogeneous Edge MPSoCs [paper]
Soroush Heidari, Mehdi Ghasemi, Young Geun Kim, Carole-Jean Wu, and Sarma Vrudhula
In Proceedings of ACM/IEEE Symposium on Edge Computing (SEC), 2024
[IISWC '24] Mediator: Characterizing and Optimizing Multi-DNN Inference for Energy Efficient Edge Intelligence [paper]
Seung Hun Choi, Myung Jae Chung, Young Geun Kim*, and Sung Woo Chung
In Proceedings of IEEE International Symposium on Workload Characterization (IISWC), 2024, Best Paper Nominee
[ISLPED '24] CLOVER: Carbon Optimization of Federated Learning over Heterogeneous Clients [paper]
Chanwoo Cho†, Yonglak Son†, Seongbin Park, and Young Geun Kim*
In Proceedings of IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2024, Best Paper Candidate
[TETC '24] Near-Memory Computing with Compressed Embedding Table for Personalized Recommendation [paper]
Jeongmin Lim, Young Geun Kim, Sung Woo Chung, Farinaz Koushanfar, and Joonho Kong
IEEE Transactions on Emerging Topics in Computing, vol. 12, no. 3, pp. 938-951, 2024.
[MLSys '24] HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning [paper] [video]
Gyudong Kim, M. Ghasemi, S. Heidari, Seungryong Kim, Young Geun Kim*, Sarma Vrudhula, and Carole-Jean Wu
In Proceedings of Annual Conference on Machine Learning and Systems (MLSys), 2024
2023
[ACCESS '23] AMBITION: Ambient Temperature Aware VM Allocation for Edge Data Centers [paper]
Seung Hun Choi, Seon Young Kim, Young Geun Kim*, Joonho Kong, and Sung Woo Chung
IEEE Access, vol. 11, pp. 68501-68511, 2023.
2022
[TC '22] CAMDNN: Content-Aware Mapping of a Network of Deep Neural Networks on Edge MPSoCs [paper]
Soroush Heidari, Mehdi Ghasemi, Young Geun Kim, Carole-Jean Wu, and Sarma Vrudhula
IEEE Transactions on Computers, vol. 71, no. 12, pp. 3191-3202, 2022.
[IISWC '22] FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning [paper]
Young Geun Kim* and Carole-Jean Wu
In Proceedings of the IEEE International Symposium on Workload Characterization (IISWC), 2022
[WCMC '22] LiDAR: A Light-Weight Deep Learning-based Malware Classifier for Edge Devices [paper]
Jinsung Kim, Younghoon Ban, Geochang Jeon, Young Geun Kim, and Haehyun Cho
Wireless Communications and Mobile Computing, vol. 2022, article 2117883, pp. 1-9, 2022.
2021
[MICRO '21] AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning [paper]
Young Geun Kim* and Carole-Jean Wu
In Proceedings of IEEE/ACM International Symposium on Microarchitecture (MICRO), 2021
[SMARTCOMP '21] Energy-Efficient Mapping of a Network of DNN Models at the Edge [paper]
Mehdi Ghasemi, Soroush Heidari, Young Geun Kim, Aaron Lamb, Carole-Jean Wu, and Sarma Vrudhula
In Proceedings of the IEEE International Conference on Smart Computing (SMARTCOMP), 2021
[JSA '21] Thermal-aware Adaptive VM Allocation Considering Server Locations in Heterogeneous Data Centers [paper]
Young Geun Kim, Seon Young Kim, Seung Hun Choi, and Sung Woo Chung
Journal of Systems Architecture (JSA), vol. 117, 2021
[HPCA '21] Chasing Carbon: The Elusive Environmental Footprint of Computing [paper]
Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, and Carole-Jean Wu
In Proceedings of the IEEE International Symposium on High Performance Computer Architecture (HPCA), 2021
Selected for IEEE MICRO Top Picks
2020
[MICRO '20] AutoScale: Energy Efficiency Optimization for Stochastic Edge Inference Using Reinforcement Learning [paper]
Young Geun Kim* and Carole-Jean Wu
In Proceedings of the IEEE/ACM International Symposium on Microarchitecture (MICRO), 2020
[TC '20] An Adaptive Thermal Management Framework for Heterogeneous Multi-core Processors [paper]
Young Geun Kim, Minyong Kim, Joonho Kong, and Sung Woo Chung
IEEE Transactions on Computers (TC), vol. 69, no. 6, pp. 894-906, 2020
[TC '20] Signal Strength-aware Adaptive Offloading with Local Image Preprocessing for Energy Efficient Mobile Devices [paper]
Young Geun Kim, Young Seo Lee, and Sung Woo Chung
IEEE Transactions on Computers (TC), vol. 69, no. 1, pp. 99-111, 2020
2019
[ICPADS '19] A Framework for Distributed Deep Neural Network Training with Heterogeneous Computing Platforms [paper]
Bontak Gu, Joonho Kong, Aslan Munir, and Young Geun Kim
In Proceedings of the IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2019
[MICPRO '19] Memory Streaming Acceleration for Embedded Systems with CPU-Accelerator Cooperative Data Processing [paper]
Kwangho Lee, Joonho Kong, Young Geun Kim and Sung Woo Chung
Microprocessors and Microsystems (MICPRO), vol. 71, 2019
[ISLPED '19] Temperature-aware Adaptive VM Allocation in Heterogeneous Data Centers [paper]
Young Geun Kim, Jeong In Kim, Seung Hun Choi, Seon Young Kim, and Sung Woo Chung
In Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2019
[COOLChips '19] A Machine Learning-based CPU Temperature Prediction Model considering Environmental Features [paper]
Seung Hun Choi, Seon Young Kim, Young Geun Kim, and Sung Woo Chung
IEEE Symposium on Low-Power and High-Speed Chips and Systems (COOLChips), 2019 (poster)
2018
[TPDS '18] A Survey on Recent OS-level Energy Management Techniques for Mobile Processing Units [paper]
Young Geun Kim, Joonho Kong, and Sung Woo Chung
IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 29, no. 10, pp. 2388-2401, 2018
2017
[TC '17] Enhancing Energy Efficiency of Multimedia Applications in Heterogeneous Mobile Multi-core Processors [paper]
Young Geun Kim, Minyong Kim, and Sung Woo Chung
IEEE Transactions on Computers (TC), vol. 66, no. 11, pp. 1878-1889, 2017
[ISLPED '17] Signal Strength-aware Adaptive Offloading for Energy Efficient Mobile Devices [paper]
Young Geun Kim and Sung Woo Chung
In Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2017
[ICCE '17] An Energy-efficient Task Scheduler for Mobile Web Browsing [paper]
Sang Jun Nam, Young Geun Kim, and Sung Woo Chung
IEEE International Conference on Consumer Electronics (ICCE), 2017
2015
[DATE '15] M-DTM: Migration-based Dynamic Thermal Management for Heterogeneous Mobile Multi-core Processors [paper]
Young Geun Kim, Minyong Kim, Jae Min Kim, and Sung Woo Chung
In Proceedings of Design, Automation, and Test in Europe Conference (DATE), 2015
[ETRIJ '15] A Novel GPU Power Model for Accurate Smartphone Power Breakdown [paper]
Young Geun Kim, Minyong Kim, Jae Min Kim, Minyoung Sung, and Sung Woo Chung
ETRI Journal, vol. 37, no. 1, pp. 157-164, 2015
[TC '15] Stabilizing CPU Frequency and Voltage for Temperature-aware DVFS in Mobile Devices [paper]
Jae Min Kim, Young Geun Kim, and Sung Woo Chung
IEEE Transactions on Computers, vol. 64, no. 1, pp. 286-292, 2015
2014
[COMPUTER '14] Measuring Variance between Smartphone Energy Consumption and Battery Life [paper]
Minyong KIm, Young Geun Kim, Sung Woo Chung, and Cheol Hong Kim
IEEE Computer Magazine, vol. 47, no. 7, pp. 59-65, 2014
2013
[ICCSEE '13] Loop Restructuring for Performance Enhancement in ARM-based Microprocessors [paper]
Jae Min Kim, Young Geun Kim, and Sung Woo Chung
International Conference on Computer Science and Electronics Engineering (ICCSEE), 2013
Domestic
Patents