Honguk Woo - RankMe

101 papers A* 20A 7B 2C 7Journal 49Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aspect-augmented distillation of task-oriented dialogues to small language models. Expert Syst. Appl. Jongmoon Jun, Woo Kyung Kim, Hyunseong Na, Honguk Woo, Jeehyeong Kim
2026	J	`jnl`	Cross-Domain Demo-to-Code via Neurosymbolic Counterfactual Reasoning. CoRR Jooyoung Kim, Wonje Choi, Younguk Song, Honguk Woo
2026	J	`jnl`	Test-Time Mixture of World Models for Embodied Agents in Dynamic Environments. CoRR Jinwoo Jang, Minjong Yoo, Sihyung Yoon, Honguk Woo
2026	J	`jnl`	Two-Stage Expert Offloading for Domain-Aware MoE Inference. IEEE Access Hangyeol Kim, Honguk Woo, Younghwan Kim
2025	J	`jnl`	Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following. CoRR Minjong Yoo, Jinwoo Jang, Wei-Jin Park, Honguk Woo
2025	A*	`conf`	In-Context Policy Adaptation via Cross-Domain Skill Diffusion. AAAI Minjong Yoo, Woo Kyung Kim, Honguk Woo
2025	J	`jnl`	In-Context Policy Adaptation via Cross-Domain Skill Diffusion. CoRR Minjong Yoo, Woo Kyung Kim, Honguk Woo
2025	J	`jnl`	Learning to Interact in World Latent for Team Coordination. CoRR Dongsu Lee, Daehee Lee, Yaru Niu, Honguk Woo, Amy Zhang, Ding Zhao
2025	A*	`conf`	Model Risk-sensitive Offline Reinforcement Learning. ICLR Gwangpyo Yoo, Honguk Woo
2025	B	`conf`	NFVAgent: A Retrieval-Augmented LLM Agent for Resilient NFV Failure Recovery. CNSM Yeunjin Woo, Honguk Woo
2025	J	`jnl`	NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks In Open Domains. CoRR Wonje Choi, Jinwoo Park, Sanghyun Ahn, Daehee Lee, Honguk Woo
2025	A*	`conf`	NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks in Open Domains. ICLR Wonje Choi, Jinwoo Park, Sanghyun Ahn, Daehee Lee, Honguk Woo
2025	J	`jnl`	NeSyPr: Neurosymbolic Proceduralization For Efficient Embodied Reasoning. CoRR Wonje Choi, Jooyoung Kim, Honguk Woo
2025	J	`jnl`	On-Device Intent Reasoning for Smart Home Agents Via Ontology-Augmented sLLMs. IEEE Access Donghwan Jeong, Honguk Woo
2025	J	`jnl`	Policy Compatible Skill Incremental Learning via Lazy Learning Interface. CoRR Daehee Lee, Dongsu Lee, TaeYoon Kwack, Wonje Choi, Honguk Woo
2025	J	`jnl`	Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning. CoRR Sanghyun Ahn, Wonje Choi, Junyong Lee, Jinwoo Park, Honguk Woo
2025	A*	`conf`	World Model Implanting for Test-time Adaptation of Embodied Agents. ICML Minjong Yoo, Jinwoo Jang, Sihyung Yoon, Honguk Woo
2025	J	`jnl`	World Model Implanting for Test-time Adaptation of Embodied Agents. CoRR Minjong Yoo, Jinwoo Jang, Sihyung Yoon, Honguk Woo
2024	J	`jnl`	Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents. CoRR Wonje Choi, Woo Kyung Kim, Seunghyun Kim, Honguk Woo
2024	A*	`conf`	Embodied CoT Distillation From LLM To Off-the-shelf Agents. ICML Wonje Choi, Woo Kyung Kim, Minjong Yoo, Honguk Woo
2024	J	`jnl`	Embodied CoT Distillation From LLM To Off-the-shelf Agents. CoRR Wonje Choi, Woo Kyung Kim, Minjong Yoo, Honguk Woo
2024	A*	`conf`	Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following. NeurIPS Minjong Yoo, Jinwoo Jang, Wei-Jin Park, Honguk Woo
2024	A*	`conf`	Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation. NeurIPS Daehee Lee, Minjong Yoo, Woo Kyung Kim, Wonje Choi, Honguk Woo
2024	J	`jnl`	Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation. CoRR Daehee Lee, Minjong Yoo, Woo Kyung Kim, Wonje Choi, Honguk Woo
2024	—	`conf`	LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble. EMNLP (Findings) Yujeong Lee, Sangwoo Shin, Wei-Jin Park, Honguk Woo
2024	J	`jnl`	LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble. CoRR Yujeong Lee, Sangwoo Shin, Wei-Jin Park, Honguk Woo
2024	A*	`conf`	LLM-based Skill Diffusion for Zero-shot Policy Adaptation. NeurIPS Woo Kyung Kim, Youngseok Lee, Jooyoung Kim, Honguk Woo
2024	A*	`conf`	Model Adaptation for Time Constrained Embodied Control. CVPR Jaehyun Song, Minjong Yoo, Honguk Woo
2024	J	`jnl`	Model Adaptation for Time Constrained Embodied Control. CoRR Jaehyun Song, Minjong Yoo, Honguk Woo
2024	A*	`conf`	Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks. IJCAI Donghoon Kim, Minjong Yoo, Honguk Woo
2024	J	`jnl`	Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks. CoRR Donghoon Kim, Minjong Yoo, Honguk Woo
2024	J	`jnl`	One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill. CoRR Sangwoo Shin, Daehee Lee, Minjong Yoo, Woo Kyung Kim, Honguk Woo
2024	A*	`conf`	Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation. IJCAI Woo Kyung Kim, Minjong Yoo, Honguk Woo
2024	J	`jnl`	Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation. CoRR Woo Kyung Kim, Minjong Yoo, Honguk Woo
2024	A*	`conf`	Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures. AAAI Gwangpyo Yoo, Jinwoo Park, Honguk Woo
2024	A*	`conf`	Robust Policy Learning via Offline Skill Diffusion. AAAI Woo Kyung Kim, Minjong Yoo, Honguk Woo
2024	J	`jnl`	Robust Policy Learning via Offline Skill Diffusion. CoRR Woo Kyung Kim, Minjong Yoo, Honguk Woo
2024	A*	`conf`	SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation. AAAI Sangwoo Shin, Minjong Yoo, Jeongwoo Lee, Honguk Woo
2024	J	`jnl`	SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation. CoRR Sangwoo Shin, Minjong Yoo, Jeongwoo Lee, Honguk Woo
2024	—	`conf`	Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments. ACL (Findings) Sangwoo Shin, Seunghyun Kim, Youngsoo Jang, Moontae Lee, Honguk Woo
2024	J	`jnl`	Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments. CoRR Sangwoo Shin, Seunghyun Kim, Youngsoo Jang, Moontae Lee, Honguk Woo
2024	J	`jnl`	Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning. CoRR Minjong Yoo, Sangwoo Cho, Honguk Woo
2023	J	`jnl`	A Configurable Model-Based Reinforcement Learning Framework for Disaggregated Storage Systems. IEEE Access Seunghwan Jeong, Honguk Woo
2023	A*	`conf`	Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents. NeurIPS Wonje Choi, Woo Kyung Kim, Seunghyun Kim, Honguk Woo
2023	A*	`conf`	One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill. ICML Sangwoo Shin, Daehee Lee, Minjong Yoo, Woo Kyung Kim, Honguk Woo
2022	J	`jnl`	A Graph Convolution Network-Based Bug Triage System to Learn Heterogeneous Graph Representation of Bug Reports. IEEE Access Syed Farhan Alam Zaidi, Honguk Woo, Chan-Gun Lee
2022	A*	`conf`	An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation. AAAI Honguk Woo, Hyunsung Lee, Sangwoo Cho
2022	J	`jnl`	An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation. CoRR Honguk Woo, Hyunsung Lee, Sangwoo Cho
2022	—	`conf`	Federated Offline Reinforcement Learning for Autonomous Systems. CCCE Ju-eun Park, Honguk Woo
2022	—	`conf`	Integrating A Deep Learning-based Plane Detector in Mobile AR Systems for Improvement of Plane Detection. ICCAI Yunho Kim, Honguk Woo
2022	—	`conf`	Iterative Pruning-based Model Compression for Pose Estimation on Resource-constrained Devices. ICMVA Sung Hyun Choi, Wonje Choi, Youngseok Lee, Honguk Woo
2022	—	`conf`	Mean-variance Based Risk-sensitive Reinforcement Learning with Interpretable Attention. ICMVA Woo Kyung Kim, Youngseok Lee, Honguk Woo
2022	—	`conf`	Reinforcement Learning based Load Balancing in a Distributed Heterogeneous Storage System. ICOIN Jooyoung Park, Seunghwan Jeong, Honguk Woo
2022	A*	`conf`	Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning. NeurIPS Minjong Yoo, Sangwoo Cho, Honguk Woo
2022	A*	`conf`	Structure Learning-Based Task Decomposition for Reinforcement Learning in Non-stationary Environments. AAAI Honguk Woo, Gwangpyo Yoo, Minjong Yoo
2022	J	`jnl`	Toward an Effective Bug Triage System Using Transformers to Add New Developers. J. Sensors Syed Farhan Alam Zaidi, Honguk Woo, Chan-Gun Lee
2022	—	`conf`	Transfer Learning based Precise Pose Estimation with Insufficient Data. ICMVA Wonje Choi, Honguk Woo
2021	J	`jnl`	A Global DAG Task Scheduler Using Deep Reinforcement Learning and Graph Convolution Network. IEEE Access Hyunsung Lee, Sangwoo Cho, Yeongjae Jang, Jinkyu Lee, Honguk Woo
2021	J	`jnl`	Differentiable Ranking Metric Using Relaxed Sorting for Top-K Recommendation. IEEE Access Hyunsung Lee, Sangwoo Cho, Yeongjae Jang, Jaekwang Kim, Honguk Woo
2021	J	`jnl`	Efficient User-Level Multi-Path Utilization in RDMA Networks. IEEE Access Sugi Lee, Yusung Kim, Honguk Woo, Ikjun Yeom
2021	A*	`conf`	GPU-Ether: GPU-native Packet I/O for GPU Applications on Commodity Ethernet. INFOCOM Changue Jung, Suhwan Kim, Ikjun Yeom, Honguk Woo, Younghoon Kim
2021	J	`jnl`	Gemma: Reinforcement Learning-Based Graph Embedding and Mapping for Virtual Network Applications. IEEE Access Minjae Park, Youngseok Lee, Ikjun Yeom, Honguk Woo
2021	A	`conf`	ML for RT: Priority Assignment Using Machine Learning. RTAS Seunghoon Lee, Hyeongboo Baek, Honguk Woo, Kang G. Shin, Jinkyu Lee
2021	J	`jnl`	Repot: Transferable Reinforcement Learning for Quality-Centric Networked Monitoring in Various Environments. IEEE Access Youngseok Lee, Woo Kyung Kim, Sung Hyun Choi, Ikjun Yeom, Honguk Woo
2020	J	`jnl`	A Differentiable Ranking Metric Using Relaxed Sorting Opeartion for Top-K Recommender Systems. CoRR Hyunsung Lee, Yeongjae Jang, Jaekwang Kim, Honguk Woo
2020	J	`jnl`	Applying Convolutional Neural Networks With Different Word Representation Techniques to Recommend Bug Fixers. IEEE Access Syed Farhan Alam Zaidi, Faraz Malik Awan, Minsoo Lee, Honguk Woo, Chan-Gun Lee
2020	J	`jnl`	Continual Prediction of Bug-Fix Time Using Deep Learning-Based Activity Stream Embedding. IEEE Access Youngseok Lee, Su-In Lee, Chan-Gun Lee, Ikjun Yeom, Honguk Woo
2020	J	`jnl`	Fixed Priority Global Scheduling from a Deep Learning Perspective. CoRR Hyunsung Lee, Michael Wang, Honguk Woo
2020	J	`jnl`	Panda: Reinforcement Learning-Based Priority Assignment for Multi-Processor Real-Time Scheduling. IEEE Access Hyunsung Lee, Jinkyu Lee, Ikjun Yeom, Honguk Woo
2020	C	`conf`	Room-area Adhoc G roup Management for Timely Coordination of Voice-enabled Consumer Devices. ICCE Doohwan Song, Jooyoung Park, Honguk Woo
2020	J	`jnl`	rocorl: Transferable Reinforcement Learning-Based Robust Control for Cyber-Physical Systems With Limited Data Updates. IEEE Access Gwangpyo Yoo, Minjong Yoo, Ikjun Yeom, Honguk Woo
2019	—	`conf`	Deep Reinforcement Learning Based Sensor Data Management for Vehicles. ICOIN Jeongmin Moon, Mukoe Cheong, Ikjun Yeom, Honguk Woo
2019	J	`jnl`	Event-Triggered Ephemeral Group Communication and Coordination over Sound for Smart Consumer Devices. Sensors Doohwan Song, Ikjun Yeom, Honguk Woo
2019	J	`jnl`	Resource-Efficient Sensor Data Management for Autonomous Systems Using Deep Reinforcement Learning. Sensors Seunghwan Jeong, Gwangpyo Yoo, Minjong Yoo, Ikjun Yeom, Honguk Woo
2019	J	`jnl`	SCARL: Attentive Reinforcement Learning-Based Scheduling in a Multi-Resource Heterogeneous Cluster. IEEE Access Mukoe Cheong, Hyunsung Lee, Ikjun Yeom, Honguk Woo
2017	C	`conf`	A Revisit to Web Browsing on Wearable Devices. WEBIST Jinwoo Song, Hyunjune Kim, Ming Jin, Honguk Woo
2017	C	`conf`	A fast browsing model for web contents on wearable devices. ICCE Jinwoo Song, Ming Jin, Honguk Woo
2016	C	`conf`	A configurable web browser for heterogeneous consumer devices. ICCE Kavitha Vallari Devara, Sungwon Han, Honguk Woo
2016	C	`conf`	Embedding physical objects in web apps on consumer devices. ICCE Honguk Woo, Ming Jin, Kichul Park
2016	C	`conf`	NDN-Based Pub/Sub System for Scalable IoT Cloud. CloudCom Sungwon Han, Honguk Woo
2016	C	`conf`	Named data networking for infrastructure wireless networks. ICCE Cheoleun Moon, Sungwon Han, Honguk Woo, Do-hyung Kim
2016	J	`jnl`	Quality Measurement of Push Services for Smart Devices. Wirel. Pers. Commun. Donghyeok An, Honguk Woo, Chilgee Lee, Ikjun Yeom
2014	—	`conf`	A Virtualized, Programmable Content Delivery Network. MobileCloud Honguk Woo, Sungwon Han, Eunho Heo, Jaehong Kim, Sangho Shin
2014	J	`jnl`	Buffering in proxy mobile IPv6: implementation and analysis. J. Supercomput. Changyong Park, Namyeong Kwon, Honguk Woo, Hyunseung Choo
2014	—	`conf`	Global-Scale Event Dissemination on Mobile Social Channeling Platform. MobileCloud Rankyung Hong, Sangho Shin, Young Yoon, Atul Laxmankatole, Honguk Woo
2014	—	`conf`	The resource optimization of heterogeneous network interfaces in wireless mobile devices. ICC Daehyun Ban, Jeongsik In, Honguk Woo
2013	—	`conf`	A large scale presence network for pervasive social computing. PerCom Workshops Honguk Woo, Hongsoo Kim, Kyusik Kim, Dongkyoung Kim
2013	J	`jnl`	Enhanced cooperative communication MAC for mobile wireless networks. Comput. Networks Donghyeok An, Honguk Woo, Hyunsoo Yoon, Ikjun Yeom
2013	A	`conf`	GreenBag: Energy-Efficient Bandwidth Aggregation for Real-Time Streaming in Heterogeneous Mobile Wireless Networks. RTSS Duc Hoang Bui, Kilho Lee, Sangeun Oh, Insik Shin, Hyojeong Shin, Honguk Woo, Daehyun Ban
2010	J	`jnl`	The identification, implementation, and evaluation of critical user interface design features of computer-assisted instruction programs in mathematics for students with learning disabilities. Comput. Educ. You-Jin Seo, Honguk Woo
2008	J	`jnl`	A hybrid framework for resource verification in executable model-based embedded system development. SIGBED Rev. Honguk Woo, Aloysius K. Mok, James C. Browne
2008	—	`conf`	Design and Development Methodology for Resilient Cyber-Physical Systems. ICDCS Workshops Honguk Woo, Jianliang Yi, James C. Browne, Aloysius K. Mok, Ella M. Atkins, Fei Xie
2008	A	`conf`	Incorporating Resource Safety Verification to Executable Model-based Development for Embedded Systems. IEEE Real-Time and Embedded Technology and Applications Symposium Jianliang Yi, Honguk Woo, James C. Browne, Aloysius K. Mok, Fei Xie, Ella M. Atkins, Chan-Gun Lee
2007	A	`conf`	Real-Time Monitoring of Uncertain Data Streams Using Probabilistic Similarity. RTSS Honguk Woo, Aloysius K. Mok
2006	A	`conf`	A Generic Framework for Monitoring Timing Constraints over Uncertain Events. RTSS Honguk Woo, Aloysius K. Mok, Chan-Gun Lee
2006	B	`conf`	Probabilistic Timing Join over Uncertain Event Streams. RTCSA Aloysius K. Mok, Honguk Woo, Chan-Gun Lee
2004	J	`jnl`	Specifying Timing Constraints and Composite Events: An Application in the Design of Electronic Brokerages. IEEE Trans. Software Eng. Aloysius K. Mok, Prabhudev Konana, Guangtian Liu, Chan-Gun Lee, Honguk Woo
2002	—	`conf`	DBCache: database caching for web application servers. SIGMOD Conference Mehmet Altinel, Qiong Luo, Sailesh Krishnamurthy, C. Mohan, Hamid Pirahesh, Bruce G. Lindsay, Honguk Woo, Larry Brown
2002	—	`conf`	Middle-tier database caching for e-business. SIGMOD Conference Qiong Luo, Sailesh Krishnamurthy, C. Mohan, Hamid Pirahesh, Honguk Woo, Bruce G. Lindsay, Jeffrey F. Naughton
2002	A	`conf`	The Monitoring of Timing Constraints on Time Intervals. RTSS Aloysius K. Mok, Chan-Gun Lee, Honguk Woo, Prabhudev Konana
2000	A	`conf`	Implementation and Performance Evaluation of a Real-Time E-Brokerage System. RTSS Prabhudev Konana, Aloysius K. Mok, Chan-Gun Lee, Honguk Woo, Guangtian Liu