Publications
Our research contributions (2019-2026)
2026
Knothe-Rosenblatt Quantile Regression for Risk-sensitive Multi-objective Reinforcement Learning
Gwangpyo Yoo, Woo Kyung Kim, Honguk Woo
Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied Agents
Saehun Chun, Wonje Choi, Sera Choi, Sanghyun Ahn, Honguk Woo
Efficient Skill Grounding via Code Refactoring with Small Language Models
Sera Choi, Wonje Choi, Saehun Chun, Daehee Lee, Chaeun Lee, Jooyoung Kim, Honguk Woo
Cross-Domain Demo-to-Code via Neurosymbolic Counterfactual Reasoning
Jooyoung Kim, Wonje Choi, Younguk Song, Honguk Woo
Test-Time Mixture of World Models for Embodied Agents in Dynamic Environments
Jinwoo Jang, Minjong Yoo, Sihyung Yoon, Honguk Woo
2025
Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning
Sanghyun Ahn, Wonje Choi, Junyong Lee, Jinwoo Park, Honguk Woo
Policy Compatible Skill Incremental Learning via Lazy Learning Interface
Daehee Lee, Dongsu Lee, TaeYoon Kwack, Wonje Choi, Honguk Woo
NeSyPr: Neurosymbolic Proceduralization For Efficient Embodied Reasoning
Wonje Choi, Jooyoung Kim, Honguk Woo
World Model Implanting for Test-time Adaptation of Embodied Agents
Minjong Yoo, Jinwoo Jang, Sihyung Yoon, Honguk Woo
NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks In Open Domains
Wonje Choi, Jinwoo Park, Sanghyun Ahn, Daehee Lee, Honguk Woo
Model Risk-sensitive Offline Reinforcement Learning
Gwangpyo Yoo, Honguk Woo
2024
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
Daehee Lee, Minjong Yoo, Woo Kyung Kim, Wonje Choi, Honguk Woo
LLM-based Skill Diffusion for Zero-shot Policy Adaptation
Woo Kyung Kim, Youngseok Lee, Jooyoung Kim, Honguk Woo
Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following
Minjong Yoo, Jinwoo Jang, Wei-Jin Park, Honguk Woo
Embodied CoT Distillation From LLM To Off-the-shelf Agents
Wonje Choi, Woo Kyung Kim, Minjong Yoo, Honguk Woo
Model Adaptation for Time Constrained Embodied Control
Jaehyun Song, Minjong Yoo, Honguk Woo
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures
Gwangpyo Yoo, Jinwoo Park, Honguk Woo
2023
Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents
Wonje Choi, Woo Kyung Kim, SeungHyun Kim, Honguk Woo
One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
Sangwoo Shin, Daehee Lee, Minjong Yoo, Woo Kyung Kim, Honguk Woo
A Configurable Model-Based Reinforcement Learning Framework for Disaggregated Storage Systems
Seunghwan Jeong, Honguk Woo
A Maturity Model for Trustworthy AI Software Development
Seunghwan Cho, Ingyu Kim, Jinhan Kim, Honguk Woo, Wanseon Shin
2022
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
Minjong Yoo, SangWoo Cho, Honguk Woo
Federated Offline Reinforcement Learning for Autonomous Systems
Ju-eun Park, Honguk Woo
Sample-Efficient Deep Learning Techniques for Burn Severity Assessment with Limited Data Conditions
Hyunkyung Shin, Hyeonung Shin, Wonje Choi, Jaesung Park, Minjae Park, Euiyul Koh, Honguk Woo
Toward an Effective Bug Triage System Using Transformers to Add New Developers
Syed Farhan Alam Zaidi, Honguk Woo, Chan-Gun Lee
Integrating A Deep Learning-based Plane Detector in Mobile AR Systems for Improvement of Plane Detection
Yunho Kim, Honguk Woo
A Graph Convolution Network-Based Bug Triage System to Learn Heterogeneous Graph Representation of Bug Reports
Syed Farhan Alam Zaidi, Honguk Woo, Chan-Gun Lee
Transfer Learning based Precise Pose Estimation with Insufficient Data
Wonje Choi, Honguk Woo
Iterative Pruning-based Model Compression for Pose Estimation on Resource-constrained Devices
SungHyun Choi, Wonje Choi, Youngseok Lee, Honguk Woo
Mean-variance Based Risk-sensitive Reinforcement Learning with Interpretable Attention
Woo Kyung Kim, Youngseok Lee, Honguk Woo
Reinforcement Learning based Load Balancing in a Distributed Heterogeneous Storage System
Jooyoung Park, Seunghwan Jeong, Honguk Woo
Structure Learning-Based Task Decomposition for Reinforcement Learning in Non-stationary Environments
Honguk Woo, Gwangpyo Yoo, Minjong Yoo
An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation
Honguk Woo, Hyunsung Lee, Sangwoo Cho
2021
A Global DAG Task Scheduler Using Deep Reinforcement Learning and Graph Convolution Network
Hyunsung Lee, Sangwoo Cho, Yeongjae Jang, Jinkyu Lee, Honguk Woo
Repot: Transferable Reinforcement Learning for Quality-Centric Networked Monitoring in Various Environments
Youngseok Lee, Woo Kyung Kim, Sung Hyun Choi, Ikjun Yeom, Honguk Woo
Efficient User-Level Multi-Path Utilization in RDMA Networks
Sugi Lee, Yusung Kim, Honguk Woo, Ikjun Yeom
Differentiable Ranking Metric Using Relaxed Sorting for Top-K Recommendation
Hyunsung Lee, Sangwoo Cho, Yeongjae Jang, Jaekwang Kim, Honguk Woo
Gemma: Reinforcement Learning-Based Graph Embedding and Mapping for Virtual Network Applications
Minjae Park, Youngseok Lee, Ikjun Yeom, Honguk Woo
ML for RT: Priority Assignment Using Machine Learning
Seunghoon Lee, Hyeongboo Baek, Honguk Woo, Kang G. Shin, Jinkyu Lee
GPU-Ether: GPU-native Packet I/O for GPU Applications on Commodity Ethernet
Changue Jung, Suhwan Kim, Ikjun Yeom, Honguk Woo, Younghoon Kim
Deep Learning-Based Logging Recommendation Using Merged Code Representation
Suin Lee, Youngseok Lee, Chan-Gun Lee, Honguk Woo
2020
rocorl: Transferable Reinforcement Learning-Based Robust Control for Cyber-Physical Systems With Limited Data Updates
Gwangpyo Yoo, Minjong Yoo, Ikjun Yeom, Honguk Woo
Fixed Priority Global Scheduling from a Deep Learning Perspective
Hyunsung Lee, Michael Wang, Honguk Woo
Applying Convolutional Neural Networks With Different Word Representation Techniques to Recommend Bug Fixers
Syed Farhan Alam Zaidi, Faraz Malik Awan, Minsoo Lee, Honguk Woo, Chan-Gun Lee
Panda: Reinforcement Learning-Based Priority Assignment for Multi-Processor Real-Time Scheduling
Hyunsung Lee, Jinkyu Lee, Ikjun Yeom, Honguk Woo
Continual Prediction of Bug-Fix Time Using Deep Learning-Based Activity Stream Embedding
Youngseok Lee, Suin Lee, Chan-Gun Lee, Ikjun Yeom, Honguk Woo
Room-Area Adhoc Group Management for Timely Coordination of Voice-Enabled Consumer Devices
Doohwan Song, Jooyoung Park, Honguk Woo
2019
SCARL: Attentive Reinforcement Learning-Based Scheduling in a Multi-Resource Heterogeneous Cluster
Mukoe Cheong, Hyunsung Lee, Ikjun Yeom, Honguk Woo
Resource-Efficient Sensor Data Management for Autonomous Systems Using Deep Reinforcement Learning
Seunghwan Jeong, Gwangpyo Yoo, Minjong Yoo, Ikjun Yeom, Honguk Woo
Event-Triggered Ephemeral Group Communication and Coordination over Sound for Smart Consumer Devices
Doohwan Song, Ikjun Yeom, Honguk Woo
Deep Reinforcement Learning Based Sensor Data Management for Vehicles
Jeongmin Moon, Mukoe Cheong, Ikjun Yeom, Honguk Woo
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