Jungseul Ok - RankMe

121 papers A* 24A 4B 5Misc 3Journal 67Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ChimeraLoRA: Multi-Head LoRA-Guided Synthetic Datasets. CoRR Hoyoung Kim, Minwoo Jang, Jabin Koo, Sangdoo Yun, Jungseul Ok
2026	J	`jnl`	Edge-Aware Image Manipulation via Diffusion Models with a Novel Structure-Preservation Loss. CoRR Minsu Gong, Nuri Ryu, Jungseul Ok, Sunghyun Cho
2026	—	`conf`	Exploring Iterative Controllable Summarization with Large Language Models. EACL (Findings) Sangwon Ryu, Heejin Do, Daehui Kim, Hwanjo Yu, Dongwoo Kim, Yunsu Kim, Gary Lee, Jungseul Ok
2026	J	`jnl`	Making Models Unmergeable via Scaling-Sensitive Loss Landscape. CoRR Minwoo Jang, Hoyoung Kim, Jabin Koo, Jungseul Ok
2026	J	`jnl`	Rising Multi-Armed Bandits with Known Horizons. CoRR Seockbean Song, Chenyu Gan, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
2026	J	`jnl`	VIRO: Robust and Efficient Neuro-Symbolic Reasoning with Verification for Referring Expression Comprehension. CoRR Hyejin Park, Junhyuk Kwon, Suha Kwak, Jungseul Ok
2026	J	`jnl`	Visual Prompt Discovery via Semantic Exploration. CoRR Jaechang Kim, Yotaro Shimose, Zhao Wang, Kuang-Da Wang, Jungseul Ok, Shingo Takamatsu
2025	J	`jnl`	Active Prompt Learning with Vision-Language Model Priors. Trans. Mach. Learn. Res. Hoyoung Kim, Seokhee Jin, Changhwan Sung, Jaechang Kim, Jungseul Ok
2025	J	`jnl`	Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree Search. CoRR Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok
2025	—	`conf`	Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation. NAACL (Long Papers) Jaechang Kim, Jinmin Goh, Inseok Hwang, Jaewoong Cho, Jungseul Ok
2025	A*	`conf`	CoPL: Collaborative Preference Learning for Personalizing LLMs. EMNLP Youngbin Choi, Seunghyuk Cho, Minjong Lee, MoonJeong Park, Yesong Ko, Jungseul Ok, Dongwoo Kim
2025	J	`jnl`	CoPL: Collaborative Preference Learning for Personalizing LLMs. CoRR Youngbin Choi, Seunghyuk Cho, Minjong Lee, Moon Jeong Park, Yesong Ko, Jungseul Ok, Dongwoo Kim
2025	—	`conf`	Comparison-based Active Preference Learning for Multi-dimensional Personalization. ACL (1) Minhyeon Oh, Seungjoon Lee, Jungseul Ok
2025	—	`conf`	DeRAGEC: Denoising Named Entity Candidates with Synthetic Rationale for ASR Error Correction. ACL (Findings) Solee Im, Wonjun Lee, Jinmyeong An, Yunsu Kim, Jungseul Ok, Gary Geunbae Lee
2025	J	`jnl`	DeRAGEC: Denoising Named Entity Candidates with Synthetic Rationale for ASR Error Correction. CoRR Solee Im, Wonjun Lee, Jinmyeong An, Yunsu Kim, Jungseul Ok, Gary Geunbae Lee
2025	—	`conf`	Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark. KDD (2) Suyeon Kim, SeongKu Kang, Dongwoo Kim, Jungseul Ok, Hwanjo Yu
2025	J	`jnl`	Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark. CoRR Suyeon Kim, SeongKu Kang, Dongwoo Kim, Jungseul Ok, Hwanjo Yu
2025	J	`jnl`	Don't Just Follow MLLM Plans: Robust and Efficient Planning for Open-world Agents. CoRR Seungjoon Lee, Suhwan Kim, Minhyeon Oh, Youngsik Yoon, Jungseul Ok
2025	—	`conf`	DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition. NAACL (Long Papers) Wonjun Lee, Solee Im, Heejin Do, Yunsu Kim, Jungseul Ok, Gary Lee
2025	J	`jnl`	DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition. CoRR Wonjun Lee, Solee Im, Heejin Do, Yunsu Kim, Jungseul Ok, Gary Geunbae Lee
2025	—	`conf`	Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs. EMNLP (Findings) Sungjae Lee, Hoyoung Kim, Jeongyeon Hwang, Eunhyeok Park, Jungseul Ok
2025	J	`jnl`	Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs. CoRR Sungjae Lee, Hoyoung Kim, Jeongyeon Hwang, Eunhyeok Park, Jungseul Ok
2025	J	`jnl`	Enhancing Cost Efficiency in Active Learning with Candidate Set Query. CoRR Yeho Gwon, Sehyun Hwang, Hoyoung Kim, Jungseul Ok, Suha Kwak
2025	J	`jnl`	Enhancing Cost Efficiency in Active Learning with Candidate Set Query. Trans. Mach. Learn. Res. Yeho Gwon, Sehyun Hwang, Hoyoung Kim, Jungseul Ok, Suha Kwak
2025	A*	`conf`	Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization. ICML Seungbeom Lee, Munsun Jo, Jungseul Ok, Dongwoo Kim
2025	J	`jnl`	Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking. CoRR Junhyuk So, Chiwoong Lee, Shinyoung Lee, Jungseul Ok, Eunhyeok Park
2025	J	`jnl`	Influence Functions for Edge Edits in Non-Convex Graph Neural Networks. CoRR Jaeseung Heo, Kyeongheung Yun, Seokwon Yoon, MoonJeong Park, Jungseul Ok, Dongwoo Kim
2025	J	`jnl`	LLM Watermark Evasion via Bias Inversion. CoRR Jeongyeon Hwang, Sangdon Park, Jungseul Ok
2025	A*	`conf`	MiLQ: Benchmarking IR Models for Bilingual Web Search with Mixed Language Queries. EMNLP Jonghwi Kim, Deokhyung Kang, Seonjeong Hwang, Yunsu Kim, Jungseul Ok, Gary Lee
2025	J	`jnl`	MiLQ: Benchmarking IR Models for Bilingual Web Search with Mixed Language Queries. CoRR Jonghwi Kim, Deokhyung Kang, Seonjeong Hwang, Yunsu Kim, Jungseul Ok, Gary Lee
2025	A*	`conf`	Retrieval-Augmented Generation with Estimation of Source Reliability. EMNLP Jeongyeon Hwang, Junyoung Park, Hyejin Park, Dongwoo Kim, Sangdon Park, Jungseul Ok
2025	—	`conf`	Revisiting Early Detection of Sexual Predators via Turn-level Optimization. NAACL (Long Papers) Jinmyeong An, Sangwon Ryu, Heejin Do, Yunsu Kim, Jungseul Ok, Gary Lee
2025	J	`jnl`	Revisiting Early Detection of Sexual Predators via Turn-level Optimization. CoRR Jinmyeong An, Sangwon Ryu, Heejin Do, Yunsu Kim, Jungseul Ok, Gary Geunbae Lee
2025	—	`conf`	Self-Training Large Language Models with Confident Reasoning. EMNLP (Findings) Hyosoon Jang, Yunhui Jang, Sungjae Lee, Jungseul Ok, Sungsoo Ahn
2025	J	`jnl`	Self-Training Large Language Models with Confident Reasoning. CoRR Hyosoon Jang, Yunhui Jang, Sungjae Lee, Jungseul Ok, Sungsoo Ahn
2025	—	`conf`	Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models. ACL (1) Sungjae Lee, Hyejin Park, Jaechang Kim, Jungseul Ok
2025	J	`jnl`	Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models. CoRR Sungjae Lee, Hyejin Park, Jaechang Kim, Jungseul Ok
2025	A*	`conf`	Toward Affective Empathy via Personalized Analogy Generation: A Case Study on Microaggression. CHI Hyojin Ju, Jungeun Lee, Seungwon Yang, Jungseul Ok, Inseok Hwang
2025	—	`conf`	Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients. ACL (1) Jabin Koo, Minwoo Jang, Jungseul Ok
2024	A*	`conf`	Active Label Correction for Semantic Segmentation with Foundation Models. ICML Hoyoung Kim, Sehyun Hwang, Suha Kwak, Jungseul Ok
2024	J	`jnl`	Active Label Correction for Semantic Segmentation with Foundation Models. CoRR Hoyoung Kim, Sehyun Hwang, Suha Kwak, Jungseul Ok
2024	J	`jnl`	Active Preference-based Learning for Multi-dimensional Personalization. CoRR Minhyeon Oh, Seungjoon Lee, Jungseul Ok
2024	J	`jnl`	Active Prompt Learning with Vision-Language Model Priors. CoRR Hoyoung Kim, Seokhee Jin, Changhwan Sung, Jaechang Kim, Jungseul Ok
2024	J	`jnl`	Activity-Guided Industrial Anomalous Sound Detection against Interferences. CoRR Yunjoo Lee, Jaechang Kim, Jungseul Ok
2024	J	`jnl`	Addressing Attribute Leakages in Diffusion-based Image Editing without Training. CoRR Sunung Mun, Jinhwan Nam, Sunghyun Cho, Jungseul Ok
2024	J	`jnl`	An Investigation Into Explainable Audio Hate Speech Detection. CoRR Jinmyeong An, Wonjun Lee, Yejin Jeon, Jungseul Ok, Yunsu Kim, Gary Geunbae Lee
2024	B	`conf`	An Investigation into Explainable Audio Hate Speech Detection. SIGDIAL Jinmyeong An, Wonjun Lee, Yejin Jeon, Jungseul Ok, Yunsu Kim, Gary Geunbae Lee
2024	A*	`conf`	Breadth-First Exploration on Adaptive Grid for Reinforcement Learning. ICML Youngsik Yoon, Gangbok Lee, Sungsoo Ahn, Jungseul Ok
2024	J	`jnl`	Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation. CoRR Jaechang Kim, Jinmin Goh, Inseok Hwang, Jaewoong Cho, Jungseul Ok
2024	A*	`conf`	CLIPtone: Unsupervised Learning for Text-Based Image Tone Adjustment. CVPR Hyeongmin Lee, Kyoungkook Kang, Jungseul Ok, Sunghyun Cho
2024	J	`jnl`	CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment. CoRR Hyeongmin Lee, Kyoungkook Kang, Jungseul Ok, Sunghyun Cho
2024	J	`jnl`	Combinatorial Rising Bandit. CoRR Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
2024	A*	`conf`	Few-shot Unlearning. SP Youngsik Yoon, Jinhwan Nam, Hyojeong Yun, Jaeho Lee, Dongwoo Kim, Jungseul Ok
2024	J	`jnl`	Guide-to-Explain for Controllable Summarization. CoRR Sangwon Ryu, Heejin Do, Daehee Kim, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok
2024	A*	`conf`	Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization. ICML Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, Suha Kwak
2024	J	`jnl`	Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization. CoRR Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, Suha Kwak
2024	A	`conf`	Key-Element-Informed sLLM Tuning for Document Summarization. INTERSPEECH Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok
2024	J	`jnl`	Key-Element-Informed sLLM Tuning for Document Summarization. CoRR Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok
2024	A*	`conf`	MedBN: Robust Test-Time Adaptation against Malicious Test Samples. CVPR Hyejin Park, Jeongyeon Hwang, Sunung Mun, Sangdon Park, Jungseul Ok
2024	J	`jnl`	MedBN: Robust Test-Time Adaptation against Malicious Test Samples. CoRR Hyejin Park, Jeongyeon Hwang, Sunung Mun, Sangdon Park, Jungseul Ok
2024	—	`conf`	MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory. ECCV (28) Juwon Kang, Nayeong Kim, Jungseul Ok, Suha Kwak
2024	—	`conf`	Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning. ACL (1) Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Lee, Jungseul Ok
2024	J	`jnl`	Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning. CoRR Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok
2024	J	`jnl`	Optimal clustering from noisy binary feedback. Mach. Learn. Kaito Ariu, Jungseul Ok, Alexandre Proutière, Seyoung Yun
2024	J	`jnl`	Retrieval-Augmented Generation with Estimation of Source Reliability. CoRR Jeongyeon Hwang, Junyoung Park, Hyejin Park, Sangdon Park, Jungseul Ok
2024	J	`jnl`	Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients. CoRR Jabin Koo, Minwoo Jang, Jungseul Ok
2024	J	`jnl`	Transfer Learning in Bandits With Latent Continuity. IEEE Trans. Inf. Theory Hyejin Park, Seiyun Shin, Kwang-Sung Jun, Jungseul Ok
2023	A*	`conf`	Active Learning for Semantic Segmentation with Multi-class Label Query. NeurIPS Sehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, Suha Kwak
2023	J	`jnl`	Active Learning for Semantic Segmentation with Multi-class Label Query. CoRR Sehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, Suha Kwak
2023	Misc	`conf`	Activity-Informed Industrial Audio Anomaly Detection Via Source Separation. ICASSP Jaechang Kim, Yunjoo Lee, Hyun Mi Cho, Dong Woo Kim, Chi Hoon Song, Jungseul Ok
2023	A*	`conf`	Adaptive Superpixel for Active Learning in Semantic Segmentation. ICCV Hoyoung Kim, Minhyeon Oh, Sehyun Hwang, Suha Kwak, Jungseul Ok
2023	J	`jnl`	Adaptive Superpixel for Active Learning in Semantic Segmentation. CoRR Hoyoung Kim, Minhyeon Oh, Sehyun Hwang, Suha Kwak, Jungseul Ok
2023	J	`jnl`	Addressing Feature Imbalance in Sound Source Separation. CoRR Jaechang Kim, Jeongyeon Hwang, Soheun Yi, Jaewoong Cho, Jungseul Ok
2023	A*	`conf`	Leveraging Proxy of Training Data for Test-Time Adaptation. ICML Juwon Kang, Nayeong Kim, Donghyeon Kwon, Jungseul Ok, Suha Kwak
2022	—	`conf`	Combating Label Distribution Shift for Active Domain Adaptation. ECCV (33) Sehyun Hwang, Sohyun Lee, SungYeon Kim, Jungseul Ok, Suha Kwak
2022	J	`jnl`	Combating Label Distribution Shift for Active Domain Adaptation. CoRR Sehyun Hwang, Sohyun Lee, SungYeon Kim, Jungseul Ok, Suha Kwak
2022	A*	`conf`	Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning. NeurIPS Byungchan Ko, Jungseul Ok
2022	J	`jnl`	Few-Shot Unlearning by Model Inversion. CoRR Youngsik Yoon, Jinhwan Nam, Hyojeong Yun, Dongwoo Kim, Jungseul Ok
2022	Misc	`conf`	Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution. ICASSP Jaechang Kim, Yunjoo Lee, Seunghoon Hong, Jungseul Ok
2022	B	`conf`	MetaSSD: Meta-Learned Self-Supervised Detection. ISIT Moon Jeong Park, Jungseul Ok, Yo-Seb Jeon, Dongwoo Kim
2022	J	`jnl`	MetaSSD: Meta-Learned Self-Supervised Detection. CoRR Moon Jeong Park, Jungseul Ok, Yo-Seb Jeon, Dongwoo Kim
2022	A	`conf`	Multi-armed Bandit Algorithm against Strategic Replication. AISTATS Suho Shin, Seungjoon Lee, Jungseul Ok
2022	—	`conf`	Power of Bonus in Pricing for Crowdsourcing. SIGMETRICS (Abstracts) Suho Shin, Hoyong Choi, Yung Yi, Jungseul Ok
2022	A	`conf`	Robust Deep Learning from Crowds with Belief Propagation. AISTATS Hoyoung Kim, Seunghyuk Cho, Dongwoo Kim, Jungseul Ok
2022	—	`conf`	Towards Sequence-Level Training for Visual Tracking. ECCV (22) Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho
2022	J	`jnl`	Towards Sequence-Level Training for Visual Tracking. CoRR Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho
2021	A*	`conf`	Gradient Inversion with Generative Image Prior. NeurIPS Jinwoo Jeon, Jaechang Kim, Kangwook Lee, Sewoong Oh, Jungseul Ok
2021	J	`jnl`	Gradient Inversion with Generative Image Prior. CoRR Jinwoo Jeon, Jaechang Kim, Kangwook Lee, Sewoong Oh, Jungseul Ok
2021	J	`jnl`	Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution. CoRR Jaechang Kim, Yunjoo Lee, Seunghoon Hong, Jungseul Ok
2021	J	`jnl`	Multi-armed Bandit Algorithm against Strategic Replication. CoRR Suho Shin, Seungjoon Lee, Jungseul Ok
2021	J	`jnl`	Power of Bonus in Pricing for Crowdsourcing. Proc. ACM Meas. Anal. Comput. Syst. Suho Shin, Hoyong Choi, Yung Yi, Jungseul Ok
2021	J	`jnl`	Robust Deep Learning from Crowds with Belief Propagation. CoRR Hoyoung Kim, Seunghyuk Cho, Dongwoo Kim, Jungseul Ok
2021	J	`jnl`	Time Matters in Using Data Augmentation for Vision-based Deep Reinforcement Learning. CoRR Byungchan Ko, Jungseul Ok
2021	B	`conf`	Transfer Learning in Bandits with Latent Continuity. ISIT Hyejin Park, Seiyun Shin, Kwang-Sung Jun, Jungseul Ok
2021	J	`jnl`	Transfer Learning in Bandits with Latent Continuity. CoRR Hyejin Park, Seiyun Shin, Kwang-Sung Jun, Jungseul Ok
2020	B	`conf`	Iterative learning of graph connectivity from partially-observed cascade samples. MobiHoc Jiin Woo, Jungseul Ok, Yung Yi
2019	A	`conf`	Iterative Bayesian Learning for Crowdsourced Regression. AISTATS Jungseul Ok, Sewoong Oh, Yunhun Jang, Jinwoo Shin, Yung Yi
2019	J	`jnl`	Optimal Clustering from Noisy Binary Feedback. CoRR Kaito Ariu, Jungseul Ok, Alexandre Proutière, Se-Young Yun
2019	J	`jnl`	Optimal Rate Sampling in 802.11 Systems: Theory, Design, and Implementation. IEEE Trans. Mob. Comput. Richard Combes, Jungseul Ok, Alexandre Proutière, Donggyu Yun, Yung Yi
2018	J	`jnl`	Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications (Extended Version). CoRR Weiran Huang, Jungseul Ok, Liang Li, Wei Chen
2018	A*	`conf`	Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications. IJCAI Weiran Huang, Jungseul Ok, Liang Li, Wei Chen
2018	A*	`conf`	Exploration in Structured Reinforcement Learning. NeurIPS Jungseul Ok, Alexandre Proutière, Damianos Tranos
2018	J	`jnl`	Exploration in Structured Reinforcement Learning. CoRR Jungseul Ok, Alexandre Proutière, Damianos Tranos
2018	J	`jnl`	On the Posted Pricing in Crowdsourcing: Power of Bonus. CoRR Suho Shin, Jungseul Ok, Hoyong Choi, Yung Yi
2018	J	`jnl`	Optimal Inference in Crowdsourced Classification via Belief Propagation. IEEE Trans. Inf. Theory Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi
2017	B	`conf`	Collaborative Clustering: Sample Complexity and Efficient Algorithms. ALT Jungseul Ok, Se-Young Yun, Alexandre Proutière, Rami Mochaourab
2017	J	`jnl`	Efficient Learning for Crowdsourced Regression. CoRR Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yunhun Jang, Yung Yi
2017	A*	`conf`	Incentivizing strategic users for social diffusion: Quantity or quality? INFOCOM Jungseul Ok, Jinwoo Shin, Yung Yi
2016	J	`jnl`	On Maximizing Diffusion Speed Over Social Networks With Strategic Users. IEEE/ACM Trans. Netw. Jungseul Ok, Youngmi Jin, Jinwoo Shin, Yung Yi
2016	A*	`conf`	Optimality of Belief Propagation for Crowdsourced Classification. ICML Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi
2016	J	`jnl`	Optimality of Belief Propagation for Crowdsourced Classification. CoRR Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi
2015	A*	`conf`	On the progressive spread over strategic diffusion: Asymptotic and computation. INFOCOM Jungseul Ok, Jinwoo Shin, Yung Yi
2014	Misc	`conf`	Influence maximization over strategic diffusion in social networks. CISS Jungseul Ok, Youngmi Jin, Jaeyoung Choi, Jinwoo Shin, Yung Yi
2014	A*	`conf`	On maximizing diffusion speed in social networks: impact of random seeding and clustering. SIGMETRICS Jungseul Ok, Youngmi Jin, Jinwoo Shin, Yung Yi
2014	A*	`conf`	Optimal Rate Sampling in 802.11 systems. INFOCOM Richard Combes, Alexandre Proutière, Donggyu Yun, Jungseul Ok, Yung Yi
2013	J	`jnl`	Embedding of virtual network requests over static wireless multihop networks. Comput. Networks Donggyu Yun, Jungseul Ok, Bongjhin Shin, Soobum Park, Yung Yi
2013	A*	`conf`	On the impact of global information on diffusion of innovations over social networks. INFOCOM Youngmi Jin, Jungseul Ok, Yung Yi, Jinwoo Shin
2013	—	`conf`	On the impact of global information on diffusion of innovations over social networks. INFOCOM Workshops Youngmi Jin, Jungseul Ok, Yung Yi, Jinwoo Shin
2013	J	`jnl`	Optimal Rate Sampling in 802.11 Systems. CoRR Richard Combes, Alexandre Proutière, Donggyu Yun, Jungseul Ok, Yung Yi
2012	—	`conf`	Development and Implementation of Break Falling System for a Biped Robot. RiTA Seung Je Woo, Sung G. Lee, Jungseul Ok, Jong-Hwan Kim
2012	J	`jnl`	Embedding of Virtual Network Requests over Static Wireless Multihop Networks CoRR Donggyu Yun, Jungseul Ok, Bongjhin Shin, Soobum Park, Yung Yi