Publications

• Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents
  W Choi, WK Kim, S Kim, H Woo
  Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023

• One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
  S Shin, D Lee, M Yoo, WK Kim, H Woo
  Proceedings of the 40th International Conference on Machine Learning (ICML), 2023

• A Configurable Model-based Reinforcement Learning Framework For Disaggregated Storage Systems
  S Jeong, H Woo
  IEEE Access 11

• A Maturity Model for Trustworthy AI Software Development
  S Cho, I Kim, J Kim, H Woo, W Shin
  Applied Sciences

• 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) 

• Reinforcement Learning based Load Balancing in a Distributed Heterogeneous Storage System

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

• An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation

H Woo, H Lee, S Cho

AAAI 2022

• 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

• 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

• 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