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ORCIDYeonwoo Jeong
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2020 – today
- 2024
[j4]Youngmin Oh
, Sol-A Choi, Yumi Shin, Yeonwoo Jeong, Jongkuk Lim, Sujin Kim:
Investigating Activity Recognition for Hemiparetic Stroke Patients Using Wearable Sensors: A Deep Learning Approach with Data Augmentation. Sensors 24(1): 210 (2024)- 2023
- [j3]Yeonwoo Jeong, Khan Esrat Maria, Sungyong Park:
Towards energy-efficient service scheduling in federated edge clouds. Clust. Comput. 26(5): 2591-2603 (2023) - [j2]Suyeon Lee, Yeonwoo Jeong, Kyuli Park, Gyeonghwan Jung, Sungyong Park:
zStream: towards a low latency micro-batch streaming system. Clust. Comput. 26(5): 2773-2787 (2023) - [j1]Yeonwoo Jeong, Behnam Tayebi, Jae-Ho Han:
Sub-Nyquist Coherent Imaging Using an Optimizing Multiplexed Sampling Scheme [Tips & Tricks]. IEEE Signal Process. Mag. 40(7): 81-88 (2023) - [c9]Yeonwoo Jeong, Chanyoung Jeoung, Hosan Jeong, Sangyoon Han, Juntae Kim:
Efficient Liquidity Providing via Margin Liquidity. ICBC 2023: 1-3 - [c8]Jinuk Kim, Yeonwoo Jeong, Deokjae Lee, Hyun Oh Song:
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming. ICML 2023: 16502-16520 - [i8]Jinuk Kim, Yeonwoo Jeong, Deokjae Lee, Hyun Oh Song:
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming. CoRR abs/2301.12187 (2023) - 2022
- [c7]Yeonwoo Jeong, Deokjae Lee, Gaon An, Changyong Son, Hyun Oh Song:
Optimal channel selection with discrete QCQP. AISTATS 2022: 7915-7941 - [i7]Yeonwoo Jeong, Deokjae Lee, Gaon An, Changyong Son, Hyun Oh Song:
Optimal channel selection with discrete QCQP. CoRR abs/2202.12417 (2022) - [i6]Yeonwoo Jeong, Chanyoung Jeoung, Hosan Jeong, Sangyoon Han, Juntae Kim:
Efficient Liquidity Providing via Margin Liquidity. CoRR abs/2212.10035 (2022) - 2021
- [c6]Suyeon Lee, Yeonwoo Jeong, Minwoo Kim, Sungyong Park:
Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark. ACSOS-C 2021: 38-43 - 2020
- [c5]Yeonwoo Jeong, Khan Esrat Maria, Sungyong Park:
An Energy-Efficient Service Scheduling Algorithm in Federated Edge Cloud. ACSOS Companion 2020: 48-53
2010 – 2019
- 2019
- [c4]Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song:
End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization. CVPR 2019: 11379-11387 - [c3]Yeonwoo Jeong, Hyun Oh Song:
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement. ICML 2019: 3091-3099 - [c2]Hyoungseok Kim, Jaekyeom Kim, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song:
EMI: Exploration with Mutual Information. ICML 2019: 3360-3369 - [i5]Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song:
End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization. CoRR abs/1902.10990 (2019) - [i4]Yeonwoo Jeong, Hyun Oh Song:
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement. CoRR abs/1905.09432 (2019) - 2018
- [c1]Yeonwoo Jeong, Hyun Oh Song:
Efficient end-to-end learning for quantizable representations. ICML 2018: 2269-2278 - [i3]Yeonwoo Jeong, Hyun Oh Song:
Efficient end-to-end learning for quantizable representations. CoRR abs/1805.05809 (2018) - [i2]Hyoungseok Kim, Jaekyeom Kim, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song:
EMI: Exploration with Mutual Information Maximizing State and Action Embeddings. CoRR abs/1810.01176 (2018) - 2017
- [i1]Yeonwoo Jeong, Keunwoo Choi, Hosan Jeong:
DLR : Toward a deep learned rhythmic representation for music content analysis. CoRR abs/1712.05119 (2017)
Coauthor Index
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