Young Geun Kim
Orcid: 0000-0003-4713-819X
According to our database1,
Young Geun Kim
authored at least 29 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Near-Memory Computing With Compressed Embedding Table for Personalized Recommendation.
IEEE Trans. Emerg. Top. Comput., 2024
Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models.
CoRR, 2024
HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning.
Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024
Mediator: Characterizing and Optimizing Multi-DNN Inference for Energy Efficient Edge Intelligence.
Proceedings of the IEEE International Symposium on Workload Characterization, 2024
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2024
2023
IEEE Access, 2023
2022
IEEE Trans. Computers, 2022
Residual size is not enough for anomaly detection: improving detection performance using residual similarity in multivariate time series.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
FedGPO: Heterogeneity-Aware Global Parameter optimization for Efficient Federated Learning.
Proceedings of the IEEE International Symposium on Workload Characterization, 2022
2021
Thermal-aware adaptive VM allocation considering server locations in heterogeneous data centers.
J. Syst. Archit., 2021
Proceedings of the IEEE International Conference on Smart Computing, 2021
Revitalizing Self-Organizing Map: Anomaly Detection Using Forecasting Error Patterns.
Proceedings of the ICT Systems Security and Privacy Protection, 2021
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.
IEEE Trans. Computers, 2020
IEEE Trans. Computers, 2020
AutoScale: Optimizing Energy Efficiency of End-to-End Edge Inference under Stochastic Variance.
CoRR, 2020
AutoScale: Energy Efficiency Optimization for Stochastic Edge Inference Using Reinforcement Learning.
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.
Microprocess. Microsystems, 2019
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.
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.
IEEE Trans. Parallel Distributed Syst., 2018
2017
Enhancing Energy Efficiency of Multimedia Applications in Heterogeneous Mobile Multi-Core Processors.
IEEE Trans. Computers, 2017
Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017
Proceedings of the IEEE International Conference on Consumer Electronics, 2017
2015
IEEE Trans. Computers, 2015
M-DTM: migration-based dynamic thermal management for heterogeneous mobile multi-core processors.
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015
2014
Computer, 2014