Publications

[Google Scholar] (†: equally contributed, *: corresponding author) 

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

• 김규동, 김진현, 나혁주, 장현성, 박재민, 황재기, 하남구, 김승룡, 김영근, "멀티 헤드 어텐션의 재설계와 헤드 믹싱 기법으로 인한 메모리 및 연산량 감소", 전자공학회논문지 61권 12호, 97-100쪽, 2024년 12월

• 김진현, 김규동, 나혁주, 장현성, 박재민, 황재기, 하남구, 김영근, 김승룡,  "강건한 자기주도 학습 기반 다중 프레임 깊이 추정: 코스트 볼륨 대체제를 찾아서", 전자공학회논문지 61권 12호, 97-100쪽, 2024년 12월

• 김규동, 김영근, "시스템 이질성이 연합학습에 미치는 영향 분석." 한국정보과학회 학술대회, 2022년.

• 정성우, 김영근, "재난 구조산업의 효율성 제고를 위한 스마트 시스템 구축: 장시간 사용 가능한 웨어러블 기기 기술을 중심으로", 산업연구  42권 1호, 15-34쪽, 2018년 7월

• 김선영, 최승훈, 김영근, 정성우, "CPU 전력에 영향을 미치는 요인들을 고려한 기계학습 기반 CPU 전력 예측 모델", 한국컴퓨터종합학술대회 (KCC 2019), 2019년 6월. (학부생 논문 경진대회 최우수상)

• 정성우, 김영근, 김선영, 최승훈, 민동원, "다양한 환경을 고려한 시스템 SW 레벨의 CPU 발열 예측에 대한 연구", 한국산업융합학회 춘계학술대회, 2018년.

• 강덕훈, 김영근, 정성우, "이종 모바일 멀티 코어 프로세서에서 성능을 고려한 발열관리 기법 적용에 대한 사례 연구", 한국정보과학회 학술대회, 2017년. (우수 논문 발표상) 

• Sung Woo Chung, Young Geun Kim, Seung Hun Choi,
  System for Allocating Deep Neural Network to Processing Unit Based on Reinforcement Learning and Operation Method of the System (에너지 효율적인 다중 DNN 추론 실행 방법 및 장치)
  January 17, 2024 United States Application Number : 18/414,875.

• Sung Woo Chung, Young Geun Kim, Seung Hun Choi,
  System for Allocating Deep Neural Network to Processing Unit Based on Reinforcement Learning and Operation Method of the System (에너지 효율적인 다중 DNN 추론 실행 방법 및 장치)
  January 17, 2024 China Application Number : 202410068142.5.

•  Sung Woo Chung, Young Geun Kim, Seung Hun Choi,
  System for Allocating Deep Neural Network to Processing Unit Based on Reinforcement Learning and Operation Method of the System (에너지 효율적인 다중 DNN 추론 실행 방법 및 장치)
  January 19, 2024 Europe Application Number : 24152922.1. 

• Sung Woo Chung, Young Geun Kim, Seung Hun Choi,
  강화 학습에 기초하여 딥 뉴럴 네트워크를 프로세싱 유닛에 할당하기 위한 시스템 및 그의 작동 방법
  January 19, 2023 Korea Application Number : 10-2023-0008105. 

• Sung Woo Chung, Young Geun Kim, Seon Young Kim, Seung Hun Choi,
  데이터 센터의 발열 관리 방법 및 장치
  November 6, 2020 Korea Registration Number : 10-2177917.

• Sung Woo Chung, Young Geun Kim, Jeong In Kim,
  데이터 센터의 발열 관리 방법 및 장치
  August 6, 2020 Korea Registraion Number : 10-2144211.

• Sung Woo Chung, Young Geun Kim, Young Seo Lee,
  기계학습 알고리즘 기반 CPU 온도 예측 방법 및 장치
  June 9, 2020 Korea Registration Number : 10-2123178.

• Sung Woo Chung, Young Geun Kim,
  모바일 기기의 발열 관리 방법
  November 29, 2018 Korea Registration Number : 10-1925720.

• Sung Woo Chung, Young Geun Kim,
  모바일 기기에서의 태스크 스케줄링 방법
  April 5, 2018 Korea Registration Number : 10-1848164.

• Sung Woo Chung, Young Geun Kim, Sang Jun Nam,
  에너지 효율적인 모바일 웹 브라우징을 위한 태스크 스케줄링 방법 및 이를 수행하는 모바일 기기
  September 22, 2017 Korea Registration Number : 10-1783148.

• Sung Woo Chung, Young Geun Kim, Jae Jeong Yoo,
  네트워크 신호세기를 고려한 선택적 오프로딩 방법 및 이를 수행하는 모바일 기기
  October 10, 2016 Korea Application Number : 10-2016-0129953.

• Sung Woo Chung, Jae Jeong Yoo, Minyong Kim, Young Geun Kim,
  전자 기기의 입출력 버스 주파수 설정 방법
  October 28, 2015 Korea Application Number : 10-2015-0150279.

• Sung Woo Chung, Jae Min Kim, Young Geun Kim,
  전자 기기의 발열 관리 방법 및 전자 기기
  June 11, 2015 Korea Application Number : 10-2015-0082465.