Implementation and Performance Evaluation of a Real-Time E-Brokerage System. - Prabhudev Konana; Aloysius K. Mok; Chan-Gun Lee; Honguk Woo; Guangtian Liu (RTSS, 2000)

The Monitoring of Timing Constraints on Time Intervals. - Aloysius K. Mok; Chan-Gun Lee; Honguk Woo; Prabhudev Konana (RTSS, 2002)

DBCache: database caching for web application servers. - Mehmet Altinel; Qiong Luo 001; Sailesh Krishnamurthy; C. Mohan 001; Hamid Pirahesh; Bruce G. Lindsay 001; Honguk Woo; Larry Brown (SIGMOD Conference, 2002)

Middle-tier database caching for e-business. - Qiong Luo 001; Sailesh Krishnamurthy; C. Mohan 001; Hamid Pirahesh; Honguk Woo; Bruce G. Lindsay 001; Jeffrey F. Naughton (SIGMOD Conference, 2002)

Specifying Timing Constraints and Composite Events: An Application in the Design of Electronic Brokerages. - Aloysius K. Mok; Prabhudev Konana; Guangtian Liu; Chan-Gun Lee; Honguk Woo (IEEE Trans. Software Eng., 2004)

Probabilistic Timing Join over Uncertain Event Streams. - Aloysius K. Mok; Honguk Woo; Chan-Gun Lee (RTCSA, 2006)

A Generic Framework for Monitoring Timing Constraints over Uncertain Events. - Honguk Woo; Aloysius K. Mok; Chan-Gun Lee (RTSS, 2006)

Real-Time Monitoring of Uncertain Data Streams Using Probabilistic Similarity. - Honguk Woo; Aloysius K. Mok (RTSS, 2007)

Design and Development Methodology for Resilient Cyber-Physical Systems. - Honguk Woo; Jianliang Yi; James C. Browne; Aloysius K. Mok; Ella M. Atkins; Fei Xie (ICDCS Workshops, 2008)

Incorporating Resource Safety Verification to Executable Model-based Development for Embedded Systems. - Jianliang Yi; Honguk Woo; James C. Browne; Aloysius K. Mok; Fei Xie; Ella M. Atkins; Chan-Gun Lee (IEEE Real-Time and Embedded Technology and Applications Symposium, 2008)

A hybrid framework for resource verification in executable model-based embedded system development. - Honguk Woo; Aloysius K. Mok; James C. Browne (SIGBED Rev., 2008)

The identification, implementation, and evaluation of critical user interface design features of computer-assisted instruction programs in mathematics for students with learning disabilities. - You-Jin Seo; Honguk Woo (Comput. Educ., 2010)

A large scale presence network for pervasive social computing. - Honguk Woo; Hongsoo Kim; Kyusik Kim; Dongkyoung Kim (PerCom Workshops, 2013)

GreenBag: Energy-Efficient Bandwidth Aggregation for Real-Time Streaming in Heterogeneous Mobile Wireless Networks. - Duc Hoang Bui; Kilho Lee; Sangeun Oh; Insik Shin; Hyojeong Shin; Honguk Woo; Daehyun Ban (RTSS, 2013)

Enhanced cooperative communication MAC for mobile wireless networks. - Donghyeok An; Honguk Woo; Hyunsoo Yoon; Ikjun Yeom (Comput. Networks, 2013)

The resource optimization of heterogeneous network interfaces in wireless mobile devices. - Daehyun Ban; Jeongsik In; Honguk Woo (ICC, 2014)

Global-Scale Event Dissemination on Mobile Social Channeling Platform. - Rankyung Hong; Sangho Shin; Young Yoon; Atul Laxmankatole; Honguk Woo (MobileCloud, 2014)

A Virtualized, Programmable Content Delivery Network. - Honguk Woo; Sungwon Han 002; Eunho Heo; Jaehong Kim; Sangho Shin (MobileCloud, 2014)

Buffering in proxy mobile IPv6: implementation and analysis. - Changyong Park; NamYeong Kwon; Honguk Woo; Hyunseung Choo (J. Supercomput., 2014)

NDN-Based Pub/Sub System for Scalable IoT Cloud. - Sungwon Han 002; Honguk Woo (CloudCom, 2016)

A configurable web browser for heterogeneous consumer devices. - Kavitha Vallari Devara; Sungwon Han 002; Honguk Woo (ICCE, 2016)

Named data networking for infrastructure wireless networks. - Cheoleun Moon; Sungwon Han 002; Honguk Woo; Do-hyung Kim 005 (ICCE, 2016)

Embedding physical objects in web apps on consumer devices. - Honguk Woo; Ming Jin; Kichul Park (ICCE, 2016)

Quality Measurement of Push Services for Smart Devices. - Donghyeok An; Honguk Woo; Chilgee Lee; Ikjun Yeom (Wirel. Pers. Commun., 2016)

A fast browsing model for web contents on wearable devices. - Jinwoo Song; Ming Jin; Honguk Woo (ICCE, 2017)

A Revisit to Web Browsing on Wearable Devices. - Jinwoo Song; Hyunjune Kim; Ming Jin; Honguk Woo (WEBIST, 2017)

Deep Reinforcement Learning Based Sensor Data Management for Vehicles. - Jeongmin Moon; Mukoe Cheong; Ikjun Yeom; Honguk Woo (ICOIN, 2019)

SCARL: Attentive Reinforcement Learning-Based Scheduling in a Multi-Resource Heterogeneous Cluster. - Mukoe Cheong; Hyunsung Lee; Ikjun Yeom; Honguk Woo (IEEE Access, 2019)

Resource-Efficient Sensor Data Management for Autonomous Systems Using Deep Reinforcement Learning. - Seunghwan Jeong; Gwangpyo Yoo; Minjong Yoo; Ikjun Yeom; Honguk Woo (Sensors, 2019)

Event-Triggered Ephemeral Group Communication and Coordination over Sound for Smart Consumer Devices. - Doohwan Song; Ikjun Yeom; Honguk Woo (Sensors, 2019)

Room-area Adhoc G roup Management for Timely Coordination of Voice-enabled Consumer Devices. - Doohwan Song; Jooyoung Park; Honguk Woo (ICCE, 2020)

Continual Prediction of Bug-Fix Time Using Deep Learning-Based Activity Stream Embedding. - Youngseok Lee; Su-In Lee; Chan-Gun Lee; Ikjun Yeom; Honguk Woo (IEEE Access, 2020)

Panda: Reinforcement Learning-Based Priority Assignment for Multi-Processor Real-Time Scheduling. - Hyunsung Lee; Jinkyu Lee 001; Ikjun Yeom; Honguk Woo (IEEE Access, 2020)

rocorl: Transferable Reinforcement Learning-Based Robust Control for Cyber-Physical Systems With Limited Data Updates. - Gwangpyo Yoo; Minjong Yoo; Ikjun Yeom; Honguk Woo (IEEE Access, 2020)

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 (IEEE Access, 2020)

A Differentiable Ranking Metric Using Relaxed Sorting Opeartion for Top-K Recommender Systems. - Hyunsung Lee; Yeongjae Jang; Jaekwang Kim; Honguk Woo (CoRR, 2020)

Fixed Priority Global Scheduling from a Deep Learning Perspective. - Hyunsung Lee; Michael Wang; Honguk Woo (CoRR, 2020)

GPU-Ether: GPU-native Packet I/O for GPU Applications on Commodity Ethernet. - Changue Jung; Suhwan Kim 008; Ikjun Yeom; Honguk Woo; Younghoon Kim (INFOCOM, 2021)

ML for RT: Priority Assignment Using Machine Learning. - Seunghoon Lee 002; Hyeongboo Baek; Honguk Woo; Kang G. Shin; Jinkyu Lee 001 (RTAS, 2021)

Differentiable Ranking Metric Using Relaxed Sorting for Top-K Recommendation. - Hyunsung Lee; Sangwoo Cho; Yeongjae Jang; Jaekwang Kim 001; Honguk Woo (IEEE Access, 2021)

A Global DAG Task Scheduler Using Deep Reinforcement Learning and Graph Convolution Network. - Hyunsung Lee; Sangwoo Cho; Yeongjae Jang; Jinkyu Lee 001; Honguk Woo (IEEE Access, 2021)

Repot: Transferable Reinforcement Learning for Quality-Centric Networked Monitoring in Various Environments. - Youngseok Lee; Woo Kyung Kim; Sung Hyun Choi; Ikjun Yeom; Honguk Woo (IEEE Access, 2021)

Efficient User-Level Multi-Path Utilization in RDMA Networks. - Sugi Lee; Yusung Kim 001; Honguk Woo; Ikjun Yeom (IEEE Access, 2021)

Gemma: Reinforcement Learning-Based Graph Embedding and Mapping for Virtual Network Applications. - Minjae Park 004; Youngseok Lee; Ikjun Yeom; Honguk Woo (IEEE Access, 2021)

An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation. - Honguk Woo; Hyunsung Lee; Sangwoo Cho (AAAI, 2022)

Structure Learning-Based Task Decomposition for Reinforcement Learning in Non-stationary Environments. - Honguk Woo; Gwangpyo Yoo; Minjong Yoo (AAAI, 2022)

Federated Offline Reinforcement Learning for Autonomous Systems. - Ju-eun Park; Honguk Woo (CCCE, 2022)

Integrating A Deep Learning-based Plane Detector in Mobile AR Systems for Improvement of Plane Detection. - Yunho Kim; Honguk Woo (ICCAI, 2022)

Iterative Pruning-based Model Compression for Pose Estimation on Resource-constrained Devices. - Sung Hyun Choi; Wonje Choi 003; Youngseok Lee; Honguk Woo (ICMVA, 2022)

Transfer Learning based Precise Pose Estimation with Insufficient Data. - Wonje Choi 003; Honguk Woo (ICMVA, 2022)

Mean-variance Based Risk-sensitive Reinforcement Learning with Interpretable Attention. - Woo Kyung Kim; Youngseok Lee; Honguk Woo (ICMVA, 2022)

Reinforcement Learning based Load Balancing in a Distributed Heterogeneous Storage System. - Jooyoung Park; Seunghwan Jeong; Honguk Woo (ICOIN, 2022)

Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning. - Minjong Yoo; Sangwoo Cho; Honguk Woo (NeurIPS, 2022)

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 (IEEE Access, 2022)

Toward an Effective Bug Triage System Using Transformers to Add New Developers. - Syed Farhan Alam Zaidi; Honguk Woo; Chan-Gun Lee (J. Sensors, 2022)

One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill. - Sangwoo Shin; Daehee Lee 001; Minjong Yoo; Woo Kyung Kim; Honguk Woo (ICML, 2023)

Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents. - Wonje Choi 003; Woo Kyung Kim; Seunghyun Kim; Honguk Woo (NeurIPS, 2023)

A Configurable Model-Based Reinforcement Learning Framework for Disaggregated Storage Systems. - Seunghwan Jeong; Honguk Woo (IEEE Access, 2023)

Robust Policy Learning via Offline Skill Diffusion. - Woo Kyung Kim; Minjong Yoo; Honguk Woo (AAAI, 2024)

SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation. - Sangwoo Shin; Minjong Yoo; Jeongwoo Lee; Honguk Woo (AAAI, 2024)

Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures. - Gwangpyo Yoo; Jinwoo Park; Honguk Woo (AAAI, 2024)

Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments. - Sangwoo Shin; Seunghyun Kim; Youngsoo Jang; Moontae Lee; Honguk Woo (ACL (Findings), 2024)

Model Adaptation for Time Constrained Embodied Control. - Jaehyun Song; Minjong Yoo; Honguk Woo (CVPR, 2024)

LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble. - Yujeong Lee; Sangwoo Shin; Wei-Jin Park; Honguk Woo (EMNLP (Findings), 2024)

Embodied CoT Distillation From LLM To Off-the-shelf Agents. - Wonje Choi 003; Woo Kyung Kim; Minjong Yoo; Honguk Woo (ICML, 2024)

Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks. - Donghoon Kim; Minjong Yoo; Honguk Woo (IJCAI, 2024)

Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation. - Woo Kyung Kim; Minjong Yoo; Honguk Woo (IJCAI, 2024)

LLM-based Skill Diffusion for Zero-shot Policy Adaptation. - Woo Kyung Kim; Youngseok Lee; Jooyoung Kim; Honguk Woo (NeurIPS, 2024)

Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation. - Daehee Lee 001; Minjong Yoo; Woo Kyung Kim; Wonje Choi 003; Honguk Woo (NeurIPS, 2024)

Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following. - Minjong Yoo; Jinwoo Jang; Wei-Jin Park; Honguk Woo (NeurIPS, 2024)

In-Context Policy Adaptation via Cross-Domain Skill Diffusion. - Minjong Yoo; Woo Kyung Kim; Honguk Woo (AAAI, 2025)

NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks in Open Domains. - Wonje Choi 003; Jinwoo Park; Sanghyun Ahn; Daehee Lee 001; Honguk Woo (ICLR, 2025)

Model Risk-sensitive Offline Reinforcement Learning. - Gwangpyo Yoo; Honguk Woo (ICLR, 2025)