Se-Young Yun - RankMe

234 papers A* 52A 9B 6Misc 2Journal 142Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Jointly Efficient and Optimal Algorithm for Heteroskedastic Generalized Linear Bandits with Adversarial Corruptions. CoRR Sanghwa Kim, Junghyun Lee, Se-Young Yun
2026	J	`jnl`	Dual Preference Learning for Multi-Agent Reinforcement Learning. IEEE Access Sehyeok Kang, Minu Kim, Jihwan Oh, Se-Young Yun
2026	J	`jnl`	Generative Visual Code Mobile World Models. CoRR Woosung Koh, Sungjun Han, Segyu Lee, Se-Young Yun, Jamin Shin
2026	J	`jnl`	MERIT Feedback Elicits Better Bargaining in LLM Negotiators. CoRR Jihwan Oh, Murad Aghazada, Yooju Shin, Se-Young Yun, Taehyeon Kim
2026	J	`jnl`	MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion Models. CoRR Hojung Jung, Rodrigo Hormazabal, Jaehyeong Jo, Youngrok Park, Kyunggeun Roh, Se-Young Yun, Sehui Han, Dae-Woong Jeong
2026	J	`jnl`	Regularized Online RLHF with Generalized Bilinear Preferences. CoRR Junghyun Lee, Minju Hong, Kwang-Sung Jun, Chulhee Yun, Se-Young Yun
2026	J	`jnl`	UniSAFE: A Comprehensive Benchmark for Safety Evaluation of Unified Multimodal Models. CoRR Segyu Lee, Boryeong Cho, Hojung Jung, Seokhyun An, Juhyeong Kim, Jaehyun Kwak, Yongjin Yang, Sangwon Jang, Youngrok Park, Wonjun Chang, Se-Young Yun
2026	J	`jnl`	Weisfeiler and Lehman Go Categorical. CoRR Seongjin Choi, Gahee Kim, Se-Young Yun
2026	J	`jnl`	When and Where to Attack? Stage-wise Attention-Guided Adversarial Attack on Large Vision Language Models. CoRR Jaehyun Kwak, Nam Cao, Boryeong Cho, Segyu Lee, Sumyeong Ahn, Se-Young Yun
2026	J	`jnl`	mSFT: Addressing Dataset Mixtures Overfitting Heterogeneously in Multi-task SFT. CoRR Woosung Koh, Jeyoung Jeon, Youngjin Song, Yujin Cheon, Soowon Oh, Jaehyeong Choi, Se-Young Yun
2025	J	`jnl`	A Mutual Information-Based Framework for Enhancing Graph Neural Networks on Heterophily. IEEE Access Gahee Kim, Seongjin Choi, Se-Young Yun
2025	J	`jnl`	AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners. CoRR Woosung Koh, Wonbeen Oh, Jaein Jang, Minhyung Lee, Hyeongjin Kim, Ah Yeon Kim, Joonkee Kim, Junghyun Lee, Taehyeon Kim, Se-Young Yun
2025	J	`jnl`	Adversarial Bandits Against Arbitrary Strategies. Trans. Mach. Learn. Res. Jung-Hun Kim, Se-Young Yun
2025	A*	`conf`	Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models. ICLR Yongjin Yang, Sihyeon Kim, Hojung Jung, Sangmin Bae, Sangmook Kim, Se-Young Yun, Kimin Lee
2025	J	`jnl`	Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback. CoRR Yongjin Yang, Sinjae Kang, Juyong Lee, Dongjun Lee, Se-Young Yun, Kimin Lee
2025	—	`conf`	C²: Scalable Auto-Feedback for LLM-based Chart Generation. NAACL (Long Papers) Woosung Koh, Jang Han Yoon, Minhyung Lee, Youngjin Song, Jaegwan Cho, Jaehyun Kang, Taehyeon Kim, Se-Young Yun, Youngjae Yu, Bongshin Lee
2025	A*	`conf`	DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs. ICML Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, Se-Young Yun
2025	J	`jnl`	DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs. CoRR Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, Se-Young Yun
2025	J	`jnl`	Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems. CoRR Minchan Jeong, Jongha Jon Ryu, Se-Young Yun, Gregory W. Wornell
2025	J	`jnl`	FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning. Trans. Mach. Learn. Res. Seongyoon Kim, Minchan Jeong, Sungnyun Kim, Sungwoo Cho, Sumyeong Ahn, Se-Young Yun
2025	J	`jnl`	Flex-Judge: Think Once, Judge Anywhere. CoRR Jongwoo Ko, Sungnyun Kim, Sungwoo Cho, Se-Young Yun
2025	A*	`conf`	FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning. ICLR Woosung Koh, Wonbeen Oh, Siyeol Kim, Suhin Shin, Hyeongjin Kim, Jaein Jang, Junghyun Lee, Se-Young Yun
2025	J	`jnl`	GL-LowPopArt: A Nearly Instance-Wise Minimax-Optimal Estimator for Generalized Low-Rank Trace Regression. CoRR Junghyun Lee, Kyoungseok Jang, Kwang-Sung Jun, Milan Vojnovic, Se-Young Yun
2025	J	`jnl`	Guiding Reasoning in Small Language Models with LLM Assistance. CoRR Yujin Kim, Euiin Yi, Minu Kim, Se-Young Yun, Taehyeon Kim
2025	J	`jnl`	KLASS: KL-Guided Fast Inference in Masked Diffusion Models. CoRR Seo Hyun Kim, Sunwoo Hong, Hojung Jung, Youngrok Park, Se-Young Yun
2025	A*	`conf`	MA2E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder. ICLR Sehyeok Kang, Yongsik Lee, Gahee Kim, Song Chong, Se-Young Yun
2025	J	`jnl`	MAVFlow: Preserving Paralinguistic Elements with Conditional Flow Matching for Zero-Shot AV2AV Multilingual Translation. CoRR Sungwoo Cho, Jeongsoo Choi, Sungnyun Kim, Se-Young Yun
2025	J	`jnl`	Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation. CoRR Sangmin Bae, Yujin Kim, Reza Bayat, Sungnyun Kim, Jiyoun Ha, Tal Schuster, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Aaron C. Courville, Se-Young Yun
2025	A*	`conf`	MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition. ICML Sungnyun Kim, Kangwook Jang, Sangmin Bae, Sungwoo Cho, Se-Young Yun
2025	J	`jnl`	MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition. CoRR Sungnyun Kim, Kangwook Jang, Sangmin Bae, Sungwoo Cho, Se-Young Yun
2025	A*	`conf`	Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation. ICLR Sungnyun Kim, Sungwoo Cho, Sangmin Bae, Kangwook Jang, Se-Young Yun
2025	J	`jnl`	Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation. CoRR Sungnyun Kim, Sungwoo Cho, Sangmin Bae, Kangwook Jang, Se-Young Yun
2025	J	`jnl`	Near-Optimal Clustering in Mixture of Markov Chains. CoRR Junghyun Lee, Yassir Jedra, Alexandre Proutière, Se-Young Yun
2025	J	`jnl`	Predicting LLM Reasoning Performance with Small Proxy Model. CoRR Woosung Koh, Juyoung Suk, Sungjun Han, Se-Young Yun, Jamin Shin
2025	J	`jnl`	Probability-Flow ODE in Infinite-Dimensional Function Spaces. CoRR Kunwoo Na, Junghyun Lee, Se-Young Yun, Sungbin Lim
2025	A*	`conf`	QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval. ICML Jaehyun Kwak, Ramahdani Muhammad Izaaz Inhar, Se-Young Yun, Sung-Ju Lee
2025	J	`jnl`	QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval. CoRR Jaehyun Kwak, Ramahdani Muhammad Izaaz Inhar, Se-Young Yun, Sung-Ju Lee
2025	A*	`conf`	Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model. ICML Kaito Ariu, Alexandre Proutière, Se-Young Yun
2025	J	`jnl`	Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness. CoRR Yongjin Yang, Euiin Yi, Jongwoo Ko, Kimin Lee, Zhijing Jin, Se-Young Yun
2025	—	`conf`	Self-Training Elicits Concise Reasoning in Large Language Models. ACL (Findings) Tergel Munkhbat, Namgyu Ho, Seo Hyun Kim, Yongjin Yang, Yujin Kim, Se-Young Yun
2025	J	`jnl`	Self-Training Elicits Concise Reasoning in Large Language Models. CoRR Tergel Munkhbat, Namgyu Ho, Seo Hyun Kim, Yongjin Yang, Yujin Kim, Se-Young Yun
2025	J	`jnl`	Temporal Alignment Guidance: On-Manifold Sampling in Diffusion Models. CoRR Youngrok Park, Hojung Jung, Sangmin Bae, Se-Young Yun
2025	J	`jnl`	Two Heads Are Better Than One: Audio-Visual Speech Error Correction with Dual Hypotheses. CoRR Sungnyun Kim, Kangwook Jang, Sungwoo Cho, Joon Son Chung, Hoirin Kim, Se-Young Yun
2025	J	`jnl`	VSCoDe: Visual-Augmentation Selection for Contrastive Decoding. Trans. Mach. Learn. Res. Sihyeon Kim, Boryeong Cho, Sangmin Bae, Sumyeong Ahn, Se-Young Yun
2025	J	`jnl`	What is the Alignment Objective of GRPO? CoRR Milan Vojnovic, Se-Young Yun
2025	J	`jnl`	When Debate Fails: Bias Reinforcement in Large Language Models. CoRR Jihwan Oh, Minchan Jeong, Jongwoo Ko, Se-Young Yun
2024	A*	`conf`	A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits. NeurIPS Junghyun Lee, Se-Young Yun, Kwang-Sung Jun
2024	J	`jnl`	A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits. CoRR Junghyun Lee, Se-Young Yun, Kwang-Sung Jun
2024	A*	`conf`	An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints. NeurIPS Jung-Hun Kim, Milan Vojnovic, Se-Young Yun
2024	J	`jnl`	Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models. CoRR Yongjin Yang, Sihyeon Kim, Hojung Jung, Sangmin Bae, Sangmook Kim, Se-Young Yun, Kimin Lee
2024	—	`conf`	BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization. EMNLP (Findings) Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, Sangmook Kim, Se-Young Yun
2024	J	`jnl`	BAPO: Base-Anchored Preference Optimization for Personalized Alignment in Large Language Models. CoRR Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, Sangmook Kim, Se-Young Yun
2024	J	`jnl`	Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning. CoRR Haeju Lee, Minchan Jeong, Se-Young Yun, Kee-Eung Kim
2024	A*	`conf`	Block Transformer: Global-to-Local Language Modeling for Fast Inference. NeurIPS Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik Jo, Yireun Kim, Tal Schuster, Adam Fisch, James Thorne, Se-Young Yun
2024	J	`jnl`	Block Transformer: Global-to-Local Language Modeling for Fast Inference. CoRR Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik Jo, Yireun Kim, Tal Schuster, Adam Fisch, James Thorne, Se-Young Yun
2024	J	`jnl`	C CoRR Woosung Koh, Jang Han Yoon, Minhyung Lee, Youngjin Song, Jaegwan Cho, Jaehyun Kang, Taehyeon Kim, Se-Young Yun, Youngjae Yu, Bongshin Lee
2024	—	`conf`	Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models. NAACL-HLT Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang, Se-Young Yun
2024	A*	`conf`	Conditional Synthesis of 3D Molecules with Time Correction Sampler. NeurIPS Hojung Jung, Youngrok Park, Laura Schmid, Jaehyeong Jo, Dongkyu Lee, Bongsang Kim, Se-Young Yun, Jinwoo Shin
2024	J	`jnl`	Conditional Synthesis of 3D Molecules with Time Correction Sampler. CoRR Hojung Jung, Youngrok Park, Laura Schmid, Jaehyeong Jo, Dongkyu Lee, Bongsang Kim, Se-Young Yun, Jinwoo Shin
2024	J	`jnl`	Diffusion-based Episodes Augmentation for Offline Multi-Agent Reinforcement Learning. CoRR Jihwan Oh, Sungnyun Kim, Gahee Kim, Sunghwan Kim, Se-Young Yun
2024	A*	`conf`	DistiLLM: Towards Streamlined Distillation for Large Language Models. ICML Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young Yun
2024	J	`jnl`	DistiLLM: Towards Streamlined Distillation for Large Language Models. CoRR Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young Yun
2024	J	`jnl`	FLR: Label-Mixture Regularization for Federated Learning with Noisy Labels. Trans. Mach. Learn. Res. Taehyeon Kim, Donggyu Kim, Se-Young Yun
2024	J	`jnl`	FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning. CoRR Seongyoon Kim, Minchan Jeong, Sungnyun Kim, Sungwoo Cho, Sumyeong Ahn, Se-Young Yun
2024	A*	`conf`	FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning. CVPR Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun
2024	A*	`conf`	Fine-tuning Pre-trained Models for Robustness under Noisy Labels. IJCAI Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun
2024	J	`jnl`	FlickerFusion: Intra-trajectory Domain Generalizing Multi-Agent RL. CoRR Woosung Koh, Wonbeen Oh, Siyeol Kim, Suhin Shin, Hyeongjin Kim, Jaein Jang, Junghyun Lee, Se-Young Yun
2024	A	`conf`	Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion. AISTATS Junghyun Lee, Se-Young Yun, Kwang-Sung Jun
2024	A*	`conf`	Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions. ICLR Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun
2024	—	`conf`	Learning Video Temporal Dynamics With Cross-Modal Attention For Robust Audio-Visual Speech Recognition. SLT Sungnyun Kim, Kangwook Jang, Sangmin Bae, Hoirin Kim, Se-Young Yun
2024	J	`jnl`	Learning Video Temporal Dynamics with Cross-Modal Attention for Robust Audio-Visual Speech Recognition. CoRR Sungnyun Kim, Kangwook Jang, Sangmin Bae, Hoirin Kim, Se-Young Yun
2024	A*	`conf`	Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning. AAAI Yongjin Yang, Taehyeon Kim, Se-Young Yun
2024	J	`jnl`	Non-backtracking Graph Neural Networks. Trans. Mach. Learn. Res. Seonghyun Park, Narae Ryu, Gahee Kim, Dongyeop Woo, Se-Young Yun, Sungsoo Ahn
2024	J	`jnl`	Non-linear Fusion in Federated Learning: A Hypernetwork Approach to Federated Domain Generalization. CoRR Marc Bartholet, Taehyeon Kim, Ami Beuret, Se-Young Yun, Joachim M. Buhmann
2024	A*	`conf`	Preference Alignment with Flow Matching. NeurIPS Minu Kim, Yongsik Lee, Sehyeok Kang, Jihwan Oh, Song Chong, Se-Young Yun
2024	J	`jnl`	Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels. CoRR Taehyeon Kim, Donggyu Kim, Se-Young Yun
2024	J	`jnl`	Rotting Infinitely Many-armed Bandits beyond the Worst-case Rotting: An Adaptive Approach. CoRR Jung-Hun Kim, Milan Vojnovic, Se-Young Yun
2024	A*	`conf`	Stable Language Model Pre-training by Reducing Embedding Variability. EMNLP Woojin Chung, Jiwoo Hong, Na Min An, James Thorne, Se-Young Yun
2024	J	`jnl`	Stable Language Model Pre-training by Reducing Embedding Variability. CoRR Woojin Chung, Jiwoo Hong, Na Min An, James Thorne, Se-Young Yun
2024	A*	`conf`	Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs. ICML Mingyu Kim, Jun-Seong Kim, Se-Young Yun, Jin-Hwa Kim
2024	J	`jnl`	Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs. CoRR Mingyu Kim, Jun-Seong Kim, Se-Young Yun, Jin-Hwa Kim
2024	A*	`conf`	Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models. EMNLP Yongjin Yang, Jongwoo Ko, Se-Young Yun
2024	A*	`conf`	Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters. EMNLP Euiin Yi, Taehyeon Kim, Hongseok Jeung, Du-Seong Chang, Se-Young Yun
2024	J	`jnl`	Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters. CoRR Euiin Yi, Taehyeon Kim, Hongseok Jeung, Du-Seong Chang, Se-Young Yun
2024	J	`jnl`	Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL. CoRR Yongjin Yang, Sihyeon Kim, Sangmook Kim, Gyubok Lee, Se-Young Yun, Edward Choi
2024	J	`jnl`	VACoDe: Visual Augmented Contrastive Decoding. CoRR Sihyeon Kim, Boryeong Cho, Sangmin Bae, Sumyeong Ahn, Se-Young Yun
2024	J	`jnl`	Why In-Context Learning Transformers are Tabular Data Classifiers. CoRR Felix den Breejen, Sangmin Bae, Stephen Cha, Se-Young Yun
2023	A*	`conf`	A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise. AAAI Jongwoo Ko, Bongsoo Yi, Se-Young Yun
2023	J	`jnl`	Accelerated MM Algorithms for Inference of Ranking Scores from Comparison Data. Oper. Res. Milan Vojnovic, Se-Young Yun, Kaifang Zhou
2023	—	`conf`	Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning. EMNLP (Findings) Haeju Lee, Minchan Jeong, Se-Young Yun, Kee-Eung Kim
2023	J	`jnl`	CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition. CoRR Sumyeong Ahn, Jongwoo Ko, Se-Young Yun
2023	A*	`conf`	CUDA: Curriculum of Data Augmentation for Long-tailed Recognition. ICLR Sumyeong Ahn, Jongwoo Ko, Se-Young Yun
2023	J	`jnl`	Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models. CoRR Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sung Ju Hwang, Se-Young Yun
2023	J	`jnl`	Communication-Efficient Collaborative Heterogeneous Bandits in Networks. CoRR Junghyun Lee, Laura Schmid, Se-Young Yun
2023	A	`conf`	Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles. AISTATS Jung-Hun Kim, Se-Young Yun, Minchan Jeong, Junhyun Nam, Jinwoo Shin, Richard Combes
2023	A*	`conf`	Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning. CVPR Sungnyun Kim, Sangmin Bae, Se-Young Yun
2023	J	`jnl`	Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning. CoRR Sungnyun Kim, Sangmin Bae, Se-Young Yun
2023	J	`jnl`	Cross-Modal Retrieval Meets Inference: Improving Zero-Shot Classification with Cross-Modal Retrieval. CoRR Seongha Eom, Namgyu Ho, Jaehoon Oh, Se-Young Yun
2023	A*	`conf`	Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels. AAAI Sumyeong Ahn, Se-Young Yun
2023	J	`jnl`	Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions. CoRR Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun
2023	J	`jnl`	Enhancing Generalization and Plasticity for Sample Efficient Reinforcement Learning. CoRR Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun
2023	A*	`conf`	Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint. NeurIPS Junghyun Lee, Hanseul Cho, Se-Young Yun, Chulhee Yun
2023	J	`jnl`	Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint. CoRR Junghyun Lee, Hanseul Cho, Se-Young Yun, Chulhee Yun
2023	A*	`conf`	Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. EMNLP Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun
2023	J	`jnl`	Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. CoRR Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun
2023	J	`jnl`	FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning. CoRR Seongyoon Kim, Gihun Lee, Jaehoon Oh, Se-Young Yun
2023	J	`jnl`	FedSoL: Bridging Global Alignment and Local Generality in Federated Learning. CoRR Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun
2023	J	`jnl`	Fine tuning Pre trained Models for Robustness Under Noisy Labels. CoRR Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun
2023	J	`jnl`	Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning. CoRR Felix den Breejen, Sangmin Bae, Stephen Cha, Tae-Young Kim, Seounghyun Koh, Se-Young Yun
2023	B	`conf`	Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks. OPODIS Junghyun Lee, Laura Schmid, Se-Young Yun
2023	—	`conf`	HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning. EMNLP (Findings) Yongjin Yang, Joonkee Kim, Yujin Kim, Namgyu Ho, James Thorne, Se-Young Yun
2023	J	`jnl`	HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning. CoRR Yongjin Yang, Joonkee Kim, Yujin Kim, Namgyu Ho, James Thorne, Se-Young Yun
2023	J	`jnl`	Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion. CoRR Junghyun Lee, Se-Young Yun, Kwang-Sung Jun
2023	J	`jnl`	Improving Adaptability and Generalizability of Efficient Transfer Learning for Vision-Language Models. CoRR Yongjin Yang, Jongwoo Ko, Se-Young Yun
2023	J	`jnl`	Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model. CoRR Kaito Ariu, Alexandre Proutière, Se-Young Yun
2023	—	`conf`	Large Language Models Are Reasoning Teachers. ACL (1) Namgyu Ho, Laura Schmid, Se-Young Yun
2023	J	`jnl`	Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning. CoRR Yongjin Yang, Taehyeon Kim, Se-Young Yun
2023	A*	`conf`	Mitigating Dataset Bias by Using Per-Sample Gradient. ICLR Sumyeong Ahn, Seongyoon Kim, Se-Young Yun
2023	—	`conf`	NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models. EMNLP (Findings) Jongwoo Ko, Seungjoon Park, Yujin Kim, Sumyeong Ahn, Du-Seong Chang, Euijai Ahn, Se-Young Yun
2023	J	`jnl`	NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models. CoRR Jongwoo Ko, Seungjoon Park, Yujin Kim, Sumyeong Ahn, Du-Seong Chang, Euijai Ahn, Se-Young Yun
2023	A	`conf`	Nearly Optimal Latent State Decoding in Block MDPs. AISTATS Yassir Jedra, Junghyun Lee, Alexandre Proutière, Se-Young Yun
2023	J	`jnl`	Non-backtracking Graph Neural Networks. CoRR Seonghyun Park, Narae Ryu, Gahee Kim, Dongyeop Woo, Se-Young Yun, Sungsoo Ahn
2023	A*	`conf`	PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning. NeurIPS Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun
2023	A	`conf`	Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification. INTERSPEECH Sangmin Bae, June-Woo Kim, Won-Yang Cho, Hyerim Baek, Soyoun Son, Byungjo Lee, Changwan Ha, Kyongpil Tae, Sungnyun Kim, Se-Young Yun
2023	J	`jnl`	Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification. CoRR Sangmin Bae, June-Woo Kim, Won-Yang Cho, Hyerim Baek, Soyoun Son, Byungjo Lee, Changwan Ha, Kyongpil Tae, Sungnyun Kim, Se-Young Yun
2023	A*	`conf`	Re-Thinking Federated Active Learning Based on Inter-Class Diversity. CVPR Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun
2023	J	`jnl`	Re-thinking Federated Active Learning based on Inter-class Diversity. CoRR Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun
2023	A	`conf`	Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation. INTERSPEECH Kangwook Jang, Sungnyun Kim, Se-Young Yun, Hoirin Kim
2023	J	`jnl`	Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation. CoRR Kangwook Jang, Sungnyun Kim, Se-Young Yun, Hoirin Kim
2023	—	`conf`	Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective. EACL (Findings) Jongwoo Ko, Seungjoon Park, Minchan Jeong, Sukjin Hong, Euijai Ahn, Du-Seong Chang, Se-Young Yun
2023	J	`jnl`	Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective. CoRR Jongwoo Ko, Seungjoon Park, Minchan Jeong, Sukjin Hong, Euijai Ahn, Du-Seong Chang, Se-Young Yun
2023	A*	`conf`	Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network. AAAI Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun
2023	J	`jnl`	Test Score Algorithms for Budgeted Stochastic Utility Maximization. INFORMS J. Optim. Dabeen Lee, Milan Vojnovic, Se-Young Yun
2023	A	`conf`	Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning. AAMAS Jihwan Oh, Joonkee Kim, Minchan Jeong, Se-Young Yun
2023	J	`jnl`	Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning. CoRR Jihwan Oh, Joonkee Kim, Minchan Jeong, Se-Young Yun
2022	J	`jnl`	ALASCA: Rethinking Label Smoothing for Deep Learning Under Label Noise. CoRR Jongwoo Ko, Bongsoo Yi, Se-Young Yun
2022	J	`jnl`	Adversarial Bandits Robust to S-Switch Regret. CoRR Jung-Hun Kim, Se-Young Yun
2022	J	`jnl`	Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction. CoRR Taehyeon Kim, Namgyu Ho, Donggyu Kim, Se-Young Yun
2022	J	`jnl`	Calibration of Few-Shot Classification Tasks: Mitigating Misconfidence From Distribution Mismatch. IEEE Access Sungnyun Kim, Se-Young Yun
2022	J	`jnl`	Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning. CoRR Jaehoon Oh, Se-Young Yun
2022	J	`jnl`	Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels. CoRR Sumyeong Ahn, Se-Young Yun
2022	A*	`conf`	FedBABU: Toward Enhanced Representation for Federated Image Classification. ICLR Jaehoon Oh, Sangmook Kim, Se-Young Yun
2022	A	`conf`	FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning. CIKM Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song, Se-Young Yun
2022	J	`jnl`	FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning. CoRR Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song, Se-Young Yun
2022	J	`jnl`	Large Language Models Are Reasoning Teachers. CoRR Namgyu Ho, Laura Schmid, Se-Young Yun
2022	—	`conf`	MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy. Cell Segmentation Challenge @ NeurIPS Gihun Lee, Sangmook Kim, Joonkee Kim, Se-Young Yun
2022	J	`jnl`	MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy. CoRR Gihun Lee, Sangmook Kim, Joonkee Kim, Se-Young Yun
2022	J	`jnl`	Mitigating Dataset Bias by Using Per-sample Gradient. CoRR Sumyeong Ahn, Seongyoon Kim, Se-Young Yun
2022	J	`jnl`	Nearly Optimal Latent State Decoding in Block MDPs. CoRR Yassir Jedra, Junghyun Lee, Alexandre Proutière, Se-Young Yun
2022	A*	`conf`	Neural Processes with Stochastic Attention: Paying more attention to the context dataset. ICLR Mingyu Kim, Kyeongryeol Go, Se-Young Yun
2022	J	`jnl`	Neural Processes with Stochastic Attention: Paying more attention to the context dataset. CoRR Mingyu Kim, Kyeongryeol Go, Se-Young Yun
2022	A*	`conf`	Preservation of the Global Knowledge by Not-True Distillation in Federated Learning. NeurIPS Gihun Lee, Minchan Jeong, Yongjin Shin, Sangmin Bae, Se-Young Yun
2022	A	`conf`	ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CIKM Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
2022	J	`jnl`	ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CoRR Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
2022	—	`conf`	Real-time and Explainable Detection of Epidemics with Global News Data. Healthcare AI and COVID-19 Workshop Sungnyun Kim, Jaewoo Shin, Seongha Eom, Jihwan Oh, Se-Young Yun
2022	J	`jnl`	Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition. CoRR Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun
2022	J	`jnl`	Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search. CoRR Taehyeon Kim, Heesoo Myeong, Se-Young Yun
2022	J	`jnl`	Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification. IEEE Access Taehyeon Kim, Se-Young Yun
2022	J	`jnl`	Revisiting the Updates of a Pre-trained Model for Few-shot Learning. CoRR Yujin Kim, Jaehoon Oh, Sungnyun Kim, Se-Young Yun
2022	J	`jnl`	Risk Perspective Exploration in Distributional Reinforcement Learning. CoRR Jihwan Oh, Joonkee Kim, Se-Young Yun
2022	A*	`conf`	Robust Streaming PCA. NeurIPS Daniel Bienstock, Minchan Jeong, Apurv Shukla, Se-Young Yun
2022	A*	`conf`	Rotting Infinitely Many-Armed Bandits. ICML Jung-Hun Kim, Milan Vojnovic, Se-Young Yun
2022	J	`jnl`	Rotting infinitely many-armed bandits. CoRR Jung-Hun Kim, Milan Vojnovic, Se-Young Yun
2022	J	`jnl`	SuperNet in Neural Architecture Search: A Taxonomic Survey. CoRR Stephen Cha, Taehyeon Kim, Hayeon Lee, Se-Young Yun
2022	J	`jnl`	Supernet Training for Federated Image Classification under System Heterogeneity. CoRR Taehyeon Kim, Se-Young Yun
2022	A*	`conf`	Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks. EMNLP Jaehoon Oh, Jongwoo Ko, Se-Young Yun
2022	J	`jnl`	Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks. CoRR Jaehoon Oh, Jongwoo Ko, Se-Young Yun
2022	J	`jnl`	The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions. CoRR Mingyu Kim, Jihwan Oh, Yongsik Lee, Joonkee Kim, Seonghwan Kim, Song Chong, Se-Young Yun
2022	A*	`conf`	Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty. NeurIPS Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
2022	J	`jnl`	Understanding Cross-Domain Few-Shot Learning: An Experimental Study. CoRR Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
2021	J	`jnl`	A Test Score-Based Approach to Stochastic Submodular Optimization. Manag. Sci. Shreyas Sekar, Milan Vojnovic, Se-Young Yun
2021	A*	`conf`	BOIL: Towards Representation Change for Few-shot Learning. ICLR Jaehoon Oh, Hyungjun Yoo, ChangHwan Kim, Se-Young Yun
2021	A*	`conf`	Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation. IJCAI Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun
2021	J	`jnl`	Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation. CoRR Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun
2021	A*	`conf`	FINE Samples for Learning with Noisy Labels. NeurIPS Taehyeon Kim, Jongwoo Ko, Sangwook Cho, Jinhwan Choi, Se-Young Yun
2021	J	`jnl`	FINE Samples for Learning with Noisy Labels. CoRR Taehyeon Kim, Jongwoo Ko, Jinhwan Choi, Sangwook Cho, Se-Young Yun
2021	J	`jnl`	FedBABU: Towards Enhanced Representation for Federated Image Classification. CoRR Jaehoon Oh, Sangmook Kim, Se-Young Yun
2021	A*	`conf`	Improved Regret Bounds of Bilinear Bandits using Action Space Analysis. ICML Kyoungseok Jang, Kwang-Sung Jun, Se-Young Yun, Wanmo Kang
2021	J	`jnl`	Preservation of the Global Knowledge by Not-True Self Knowledge Distillation in Federated Learning. CoRR Gihun Lee, Yongjin Shin, Minchan Jeong, Se-Young Yun
2021	J	`jnl`	Self-Contrastive Learning. CoRR Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun
2021	—	`conf`	Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. NeurIPS (Competition and Demos) Aleksandra Gruca, Federico Serva, Llorenç Lliso, Pilar Rípodas, Xavier Calbet, Pedro Herruzo, Jirí Pihrt, Rudolf Raevskiy, Petr Simánek, Matej Choma, Yang Li, Haiyu Dong, Yury Belousov, Sergey Polezhaev, Brian Pulfer, Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi, Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, Changick Kim, Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun, Bertrand Le Saux, Michael K. Kopp, Sepp Hochreiter, David P. Kreil
2020	A	`conf`	Convergence Rates of Gradient Descent and MM Algorithms for Bradley-Terry Models. AISTATS Milan Vojnovic, Se-Young Yun, Kaifang Zhou
2020	J	`jnl`	Does MAML really want feature reuse only? CoRR Jaehoon Oh, Hyungjun Yoo, ChangHwan Kim, Se-Young Yun
2020	J	`jnl`	MixCo: Mix-up Contrastive Learning for Visual Representation. CoRR Sungnyun Kim, Gihun Lee, Sangmin Bae, Se-Young Yun
2020	—	`conf`	Precipitation Nowcasting Using Grid-based Data in South Korea Region. ICDM (Workshops) ChangHwan Kim, Se-Young Yun
2020	A*	`conf`	Regret in Online Recommendation Systems. NeurIPS Kaito Ariu, Narae Ryu, Se-Young Yun, Alexandre Proutière
2020	J	`jnl`	Regret in Online Recommendation Systems. CoRR Kaito Ariu, Narae Ryu, Se-Young Yun, Alexandre Proutière
2020	J	`jnl`	Reinforcement with Fading Memories. Math. Oper. Res. Kuang Xu, Se-Young Yun
2020	—	`conf`	SIPA: A Simple Framework for Efficient Networks. ICDM (Workshops) Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun
2020	J	`jnl`	SIPA: A Simple Framework for Efficient Networks. CoRR Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun
2020	J	`jnl`	Test Score Algorithms for Budgeted Stochastic Utility Maximization. CoRR Dabeen Lee, Milan Vojnovic, Se-Young Yun
2020	J	`jnl`	TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture. CoRR Jin-Woo Lee, Jaehoon Oh, Sungsu Lim, Se-Young Yun, Jae-Gil Lee
2019	—	`conf`	A pipelined hybrid recommender system for ranking the items on the display. RecSys Challenge Jaehoon Oh, Sangmook Kim, Se-Young Yun, Seungwoo Choi, Mun Yong Yi
2019	J	`jnl`	Optimal Clustering from Noisy Binary Feedback. CoRR Kaito Ariu, Jungseul Ok, Alexandre Proutière, Se-Young Yun
2019	A*	`conf`	Optimal Sampling and Clustering in the Stochastic Block Model. NeurIPS Se-Young Yun, Alexandre Proutière
2019	J	`jnl`	Reinforcement with Fading Memories. CoRR Kuang Xu, Se-Young Yun
2019	A*	`conf`	Spectral Approximate Inference. ICML Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin
2019	J	`jnl`	Spectral Approximate Inference. CoRR Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin
2018	J	`jnl`	Game Theoretic Perspective of Optimal CSMA. IEEE Trans. Wirel. Commun. Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi
2018	—	`conf`	Noisy Power Method with Grassmann Average. BigComp Se-Young Yun
2018	—	`conf`	Reinforcement with Fading Memories. SIGMETRICS (Abstracts) Kuang Xu, Se-Young Yun
2018	J	`jnl`	Spectrogram-channels u-net: a source separation model viewing each channel as the spectrogram of each source. CoRR Jaehoon Oh, Duyeon Kim, Se-Young Yun
2017	J	`jnl`	Clustering in Block Markov Chains. CoRR Jaron Sanders, Alexandre Proutière, Se-Young Yun
2017	B	`conf`	Collaborative Clustering: Sample Complexity and Efficient Algorithms. ALT Jungseul Ok, Se-Young Yun, Alexandre Proutière, Rami Mochaourab
2017	J	`jnl`	Contextual Multi-armed Bandits under Feature Uncertainty. CoRR Se-Young Yun, Jun Hyun Nam, Sangwoo Mo, Jinwoo Shin
2017	—	`conf`	On the Delay Scaling Laws of Cache Networks. CFI Boram Jin, Daewoo Kim, Se-Young Yun, Jinwoo Shin, Seongik Hong, Byoung-Joon Lee, Yung Yi
2016	J	`jnl`	Delay Optimal CSMA With Linear Virtual Channels Under a General Topology. IEEE/ACM Trans. Netw. Donggyu Yun, Dongmyung Lee, Se-Young Yun, Jinwoo Shin, Yung Yi
2016	J	`jnl`	Distributed Medium Access Over Time-Varying Channels. IEEE/ACM Trans. Netw. Se-Young Yun, Jinwoo Shin, Yung Yi
2016	B	`conf`	Distributed coordination maximization over networks: a stochastic approximation approach. MobiHoc Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi
2016	—	`conf`	Optimal Cluster Recovery in the Labeled Stochastic Block Model. NIPS Se-Young Yun, Alexandre Proutière
2016	A*	`conf`	Parameter Estimation for Generalized Thurstone Choice Models. ICML Milan Vojnovic, Se-Young Yun
2016	J	`jnl`	Sketching with Test Scores and Submodular Maximization. CoRR Shreyas Sekar, Milan Vojnovic, Se-Young Yun
2015	J	`jnl`	CSMA Using the Bethe Approximation: Scheduling and Utility Maximization. IEEE Trans. Inf. Theory Se-Young Yun, Jinwoo Shin, Yung Yi
2015	A*	`conf`	Distributed Proportional Fair Load Balancing in Heterogenous Systems. SIGMETRICS Se-Young Yun, Alexandre Proutière
2015	—	`conf`	Fast and Memory Optimal Low-Rank Matrix Approximation. NIPS Se-Young Yun, Marc Lelarge, Alexandre Proutière
2015	J	`jnl`	Optimality of Spectral Algorithms for Community Detection in the Labeled Stochastic Block Model. CoRR Se-Young Yun, Alexandre Proutière
2014	J	`jnl`	Accurate Community Detection in the Stochastic Block Model via Spectral Algorithms. CoRR Se-Young Yun, Alexandre Proutière
2014	A*	`conf`	Community Detection via Random and Adaptive Sampling. COLT Se-Young Yun, Alexandre Proutière
2014	J	`jnl`	Community Detection via Random and Adaptive Sampling. CoRR Se-Young Yun, Alexandre Proutière
2014	A*	`conf`	Distributed learning for utility maximization over CSMA-based wireless multihop networks. INFOCOM Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi
2014	Misc	`conf`	Distributed load balancing in heterogenous systems. CISS Se-Young Yun, Alexandre Proutière
2014	A*	`conf`	Provable per-link delay-optimal CSMA for general wireless network topology. INFOCOM Dongmyung Lee, Donggyu Yun, Jinwoo Shin, Yung Yi, Se-Young Yun
2014	—	`conf`	Streaming, Memory Limited Algorithms for Community Detection. NIPS Se-Young Yun, Marc Lelarge, Alexandre Proutière
2014	J	`jnl`	Streaming, Memory Limited Algorithms for Community Detection. CoRR Se-Young Yun, Marc Lelarge, Alexandre Proutière
2013	J	`jnl`	CSMA over Time-varying Channels: Optimality, Uniqueness and Limited Backoff Rate. CoRR Se-Young Yun, Jinwoo Shin, Yung Yi
2013	B	`conf`	CSMA over time-varying channels: optimality, uniqueness and limited backoff rate. MobiHoc Se-Young Yun, Jinwoo Shin, Yung Yi
2013	J	`jnl`	CSMA using Statistical Physics toward Throughput and Utility Optimal CSMA. CoRR Se-Young Yun, Jinwoo Shin, Yung Yi
2013	B	`conf`	CSMA using the Bethe approximation for utility maximization. ISIT Se-Young Yun, Jinwoo Shin, Yung Yi
2013	J	`jnl`	On the Delay Scaling Laws of Cache Networks. CoRR Boram Jin, Se-Young Yun, Daewoo Kim, Jinwoo Shin, Yung Yi, Seongik Hong, Byoung-Joon Lee
2012	B	`conf`	From Glauber dynamics to Metropolis algorithm: Smaller delay in optimal CSMA. ISIT Chul-Ho Lee, Do Young Eun, Se-Young Yun, Yung Yi
2012	Misc	`conf`	Optimal CSMA: A survey. ICCS Se-Young Yun, Yung Yi, Jinwoo Shin, Do Young Eun
2012	J	`jnl`	The Economic Effects of Sharing Femtocells. IEEE J. Sel. Areas Commun. Se-Young Yun, Yung Yi, Dong-Ho Cho, Jeonghoon Mo
2011	—	`conf`	Multi-channel MAC protocol for QoS support in ad-hoc network. CCNC Kyung-Seop Shin, Se-Young Yun, Dong-Ho Cho
2011	A*	`conf`	Open or close: On the sharing of femtocells. INFOCOM Se-Young Yun, Yung Yi, Dong-Ho Cho, Jeonghoon Mo