Publications
2024
SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation
Sangwoo Shin, Minjong Yoo, Jeongwoo Lee, Honguk Woo
AAAI 2024Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures
Gwangpyo Yoo, Jinwoo Park, Honguk Woo
AAAI 2024Robust Policy Learning via Offline Skill Diffusion
Woo Kyung Kim, Munjong Yoo, Honguk Woo
AAAI 2024
2023
Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents
Wonje Choi, Woo Kyung Kim, SeungHyun Kim, Honguk Woo
NeurIPS 2023One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
S Shin, D Lee, M Yoo, WK Kim, H Woo
ICML 2023A Configurable Model-based Reinforcement Learning Framework For Disaggregated Storage Systems
S Jeong, H Woo
IEEE AccessA Maturity Model for Trustworthy AI Software Development
S Cho, I Kim, J Kim, H Woo, W Shin
Applied Sciences
2022
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
M Yoo, S Cho, H Woo
Advances in Neural Information Processing Systems (NeurIPS), 2022
Federated Offline Reinforcement Learning for Autonomous Systems
J Park, H Woo
Computer and Communication Engineering: 2nd International Conference, CCCE 2022
Sample-Efficient Deep Learning Techniques for Burn Severity Assessment with Limited Data Conditions
H Shin, H Shin, W Choi, J Park, M Park, E Koh, H Woo
Applied Sciences 12 (14), 7317
Toward an effective bug triage system using transformers to add new developers
SFA Zaidi, H Woo, CG Lee
Journal of Sensors 2022
Integrating A Deep Learning-based Plane Detector in Mobile AR Systems for Improvement of Plane Detection
Y Kim, H Woo
Proceedings of the 8th International Conference on Computing and Artificial Intelligence
A graph convolution network-based bug triage system to learn heterogeneous graph representation of bug reports
SFA Zaidi, H Woo, CG Lee
IEEE access 10, 20677-20689
Transfer Learning based Precise Pose Estimation with Insufficient Data
W Choi, H Woo
2022 the 5th International Conference on Machine Vision and Applications (ICMVA)
Iterative Pruning-based Model Compression for Pose Estimation on Resource-constrained Devices
SH Choi, W Choi, Y Lee, H Woo
2022 the 5th International Conference on Machine Vision and Applications (ICMVA)
Mean-variance Based Risk-sensitive Reinforcement Learning with Interpretable Attention
WK Kim, Y Lee, H Woo
2022 the 5th International Conference on Machine Vision and Applications (ICMVA)
J Park, S Jeong, H Woo
2022 International Conference on Information Networking (ICOIN), 482-485
Structure Learning-Based Task Decomposition for Reinforcement Learning In Non-Stationary Environment
H Woo, G Yoo, M Yoo
AAAI-2022
H Woo, H Lee, S Cho
AAAI-2022
2021
A Global DAG Task Scheduler Using Deep Reinforcement Learning and Graph Convolution Network
H Lee, S Cho, Y Jang, J Lee, H Woo
IEEE Access 9, 158548-158561
Repot: Transferable Reinforcement Learning for Quality-Centric Networked Monitoring in Various Environments
Y Lee, WK Kim, SH Choi, I Yeom, H Woo
IEEE Access 9, 147280-147294
Efficient user-level multi-path utilization in rdma networks
S Lee, Y Kim, H Woo, I Yeom
IEEE Access 9, 127619-127629
Differentiable ranking metric using relaxed sorting for top-k recommendation
H Lee, S Cho, Y Jang, J Kim, H Woo
IEEE Access 9, 114649-114658
Gemma: reinforcement learning-based graph embedding and mapping for virtual network applications
M Park, Y Lee, I Yeom, H Woo
IEEE Access 9, 105463-105476
ML for RT: Priority assignment using machine learning
S Lee, H Baek, H Woo, KG Shin, J Lee
2021 IEEE 27th Real-Time and Embedded Technology and Applications Symposium (RTAS)
GPU-ether: GPU-native packet I/O for GPU applications on commodity ethernet
C Jung, S Kim, I Yeom, H Woo, Y Kim
IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10
Deep learning-based logging recommendation using merged code representation
S Lee, Y Lee, CG Lee, H Woo
IT Convergence and Security: Proceedings of ICITCS 2020, 49-53
2020
rocorl: Transferable Reinforcement Learning-based Robust Control for Cyber-Physical Systems with Limited Data Updates
G Yoo, M Yoo, I Yeom, H Woo
IEEE Access
Fixed Priority Global Scheduling from a Deep Learning Perspective
H Lee, M Wang, H Woo
arXiv preprint arXiv:2012.03002
Applying convolutional neural networks with different word representation techniques to recommend bug fixers
SFA Zaidi, FM Awan, M Lee, H Woo, CG Lee
IEEE Access 8, 213729-213747
Panda: Reinforcement learning-based priority assignment for multi-processor real-time scheduling
H Lee, J Lee, I Yeom, H Woo
IEEE Access 8, 185570-185583
A Differentiable Ranking Metric Using Relaxed Sorting Operation for Top-K Recommender Systems
H Lee, Y Jang, J Kim, H Woo
arXiv preprint arXiv:2008.13141
Continual prediction of bug-fix time using deep learning-based activity stream embedding
Y Lee, S Lee, CG Lee, I Yeom, H Woo
IEEE Access 8, 10503-10515
Room-area Adhoc G roup Management for Timely Coordination of Voice-enabled Consumer Devices
D Song, J Park, H Woo
2020 IEEE International Conference on Consumer Electronics (ICCE), 1-2
2019
SCARL: Attentive reinforcement learning-based scheduling in a multi-resource heterogeneous cluster
M Cheong, H Lee, I Yeom, H Woo
IEEE Access 7, 153432-153444
Resource-efficient sensor data management for autonomous systems using deep reinforcement learning
S Jeong, G Yoo, M Yoo, I Yeom, H Woo
Sensors 19 (20), 4410
Event-Triggered Ephemeral Group Communication and Coordination over Sound for Smart Consumer Devices
D Song, I Yeom, H Woo
Sensors 19 (8), 1883
Deep reinforcement learning based sensor data management for vehicles
J Moon, M Cheong, I Yeom, H Woo
2019 International Conference on Information Networking (ICOIN), 345-349