Yeonwoo Jeong

According to our database, Yeonwoo Jeong authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Investigating Activity Recognition for Hemiparetic Stroke Patients Using Wearable Sensors: A Deep Learning Approach with Data Augmentation.

Youngmin Oh, Sol-A Choi, Yumi Shin, Yeonwoo Jeong, Jongkuk Lim, Sujin Kim

Sensors, 2024

2023

Sub-Nyquist Coherent Imaging Using an Optimizing Multiplexed Sampling Scheme [Tips & Tricks].

Yeonwoo Jeong, Behnam Tayebi, Jae-Ho Han

IEEE Signal Process. Mag., November, 2023

zStream: towards a low latency micro-batch streaming system.

Suyeon Lee, Yeonwoo Jeong, Kyuli Park, Gyeonghwan Jung, Sungyong Park

Clust. Comput., October, 2023

Towards energy-efficient service scheduling in federated edge clouds.

Yeonwoo Jeong, Khan Esrat Maria, Sungyong Park

Clust. Comput., October, 2023

Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming.

Jinuk Kim, Yeonwoo Jeong, Deokjae Lee, Hyun Oh Song

Proceedings of the International Conference on Machine Learning, 2023

Efficient Liquidity Providing via Margin Liquidity.

Yeonwoo Jeong, Chanyoung Jeoung, Hosan Jeong, Sangyoon Han, Juntae Kim

Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2023

2022

Optimal channel selection with discrete QCQP.

Yeonwoo Jeong, Deokjae Lee, Gaon An, Changyong Son, Hyun Oh Song

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark.

Suyeon Lee, Yeonwoo Jeong, Minwoo Kim, Sungyong Park

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021

2020

An Energy-Efficient Service Scheduling Algorithm in Federated Edge Cloud.

Yeonwoo Jeong, Khan Esrat Maria, Sungyong Park

Proceedings of the 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020

2019

EMI: Exploration with Mutual Information.

Hyoungseok Kim, Jaekyeom Kim, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song

Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Discrete and Continuous Factors of Data via Alternating Disentanglement.

Yeonwoo Jeong, Hyun Oh Song

Proceedings of the 36th International Conference on Machine Learning, 2019

End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization.

Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

EMI: Exploration with Mutual Information Maximizing State and Action Embeddings.

Hyoungseok Kim, Jaekyeom Kim, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song

CoRR, 2018

Efficient end-to-end learning for quantizable representations.

Yeonwoo Jeong, Hyun Oh Song

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

DLR : Toward a deep learned rhythmic representation for music content analysis.

Yeonwoo Jeong, Keunwoo Choi, Hosan Jeong

CoRR, 2017