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ORCIDYeonjae Kim
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2020 – today
- 2024
[c5]Osama Khan, Junyeol Yu, Yeonjae Kim, Euiseong Seo:
Efficient Adaptive Batching of DNN Inference Services for Improved Latency. ICOIN 2024: 197-200- 2022
- [j2]Yansong Gao
, Yeonjae Kim, Bao Gia Doan, Zhi Zhang, Gongxuan Zhang, Surya Nepal, Damith C. Ranasinghe, Hyoungshick Kim:
Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks. IEEE Trans. Dependable Secur. Comput. 19(4): 2349-2364 (2022) - [c4]Seungbeom Choi, Sunho Lee, Yeonjae Kim, Jongse Park, Youngjin Kwon, Jaehyuk Huh:
Serving Heterogeneous Machine Learning Models on Multi-GPU Servers with Spatio-Temporal Sharing. USENIX ATC 2022: 199-216 - 2021
- [j1]Wonik Seo, Sanghoon Cha, Yeonjae Kim, Jaehyuk Huh, Jongse Park:
SLO-Aware Inference Scheduler for Heterogeneous Processors in Edge Platforms. ACM Trans. Archit. Code Optim. 18(4): 43:1-43:26 (2021) - [c3]Seonjin Na, Sunho Lee, Yeonjae Kim, Jongse Park, Jaehyuk Huh:
Common Counters: Compressed Encryption Counters for Secure GPU Memory. HPCA 2021: 1-13 - [i3]Seungbeom Choi, Sunho Lee, Yeonjae Kim, Jongse Park, Youngjin Kwon, Jaehyuk Huh:
Multi-model Machine Learning Inference Serving with GPU Spatial Partitioning. CoRR abs/2109.01611 (2021) - 2020
- [c2]Yansong Gao, Minki Kim, Sharif Abuadbba, Yeonjae Kim, Chandra Thapa, Kyuyeon Kim, Seyit Ahmet Çamtepe, Hyoungshick Kim, Surya Nepal:
End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things. SRDS 2020: 91-100 - [i2]Yansong Gao, Minki Kim, Sharif Abuadbba, Yeonjae Kim, Chandra Thapa, Kyuyeon Kim, Seyit Ahmet Çamtepe, Hyoungshick Kim, Surya Nepal:
End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things. CoRR abs/2003.13376 (2020)
2010 – 2019
- 2019
- [c1]Robert Janzen, Sorina Chirhei, Yeonjae Kim, Michal Aibin:
Modulation Assignment in Elastic Optical Networks Using Data Analytics. CCECE 2019: 1-4 - [i1]Yansong Gao, Yeonjae Kim, Bao Gia Doan, Zhi Zhang, Gongxuan Zhang, Surya Nepal, Damith Chinthana Ranasinghe, Hyoungshick Kim:
Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks. CoRR abs/1911.10312 (2019)
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