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2026
C124
Process-Verified Reinforcement Learning for Theorem Proving via Lean
Minsu Kim,
Se-Young Yun
ICLR 2026
[paper]
C123
Predicting LLM Reasoning Performance with Small Proxy Model
Woosung (Reiss) Koh,
Juyoung Suk,
Sungjun Han,
Se-Young Yun,
Jay Shin
ICLR 2026
[paper]
C122
Composer: A Search Framework for Hybrid Neural Architecture Design
Bilge Acun*,
Prasoon Sinha*,
Newsha Ardalani,
Sangmin Bae,
Alicia Golden,
Chien-Yu Lin,
Meghana Madhyastha,
Fei Sun,
Neeraja J. Yadwadkar,
Carole-Jean Wu
ICLR 2026
[paper]
C121
TESSAR: Geometry-Aware Active Regression via Dynamic Voronoi Tessellation
Seong Jin Cho,
Gwangsu Kim,
Junghyun Lee,
Hee Suk Yoon,
Joshua Tian Jin Tee,
Chang D. Yoo
ICLR 2026
[paper]
C120
Group-Normalized Implicit Value Optimization for Language Models
Yunseon Choi,
Junyoung Jang,
Chaeyoung Oh,
Minchan Jeong,
Doo Hwan Hwang,
Kee-Eung Kim
ICLR 2026
[paper]
C119
GL-LowPopArt: A Nearly Instance-Wise Minimax-Optimal Estimator for Generalized Low-Rank Trace Regression
Junghyun Lee,
Kyoungseok Jang,
Kwang-Sung Jun,
Milan Vojnovic,
Se-Young Yun
AISTATS 2026
[paper]
C118
Near-Optimal Clustering in Mixture of Markov Chains
Junghyun Lee,
Yassir Jedra,
Alexandre Proutière,
Se-Young Yun
AISTATS 2026
[paper]
J28
From Belief Entrenchment to Robust Reasoning in LLM Agents
Jihwan Oh*,
Minchan Jeong*,
Jongwoo Ko^,
Se-Young Yun^
Transactions of the Association for Computational Linguistics (2026)
W63
Distilling Robustness: Mitigating Persona Sensitivity in Language Models via RLVR Teacher-Student Training
Jihwan Oh*,
Murad Aghazada*,
Se-Young Yun
AAAI 2026 Workshop: "Depolyable AI"
2025
J27
Dual Preference Learning for Multi-Agent Reinforcement Learning
Sehyeok Kang,
Minu Kim,
Jihwan Oh,
Se-Young Yun
IEEE Access
[paper]
J26
A Mutual Information-Based Framework for Enhancing Graph Neural Networks on Heterophily
Gahee Kim,
Seongjin Choi,
Se-Young Yun
IEEE Access (2025)
[paper]
W62
From Vision-Language to Preference: CLIP as a Discriminator
Sehyeok Kang,
Youngjin Ko,
Hyeonjun Kim,
Myungjoo Kang,
Se-Young Yun
IROS 2025 Workshop: "Embodied AI and Robotics for Future Scientific Discovery (AIR4S)"
W61
Process-Verified Reinforcement Learning for Theorem Proving via Lean
Minsu Kim,
Se-Young Yun
NeurIPS 2025 Workshop: Mathematical Reasoning and AI (MATH-AI)
[paper]
W60
Temporal Alignment Guidance: On-manifold Sampling in Diffusion Models
Youngrok Park*,
Hojung Jung*,
Sangmin Bae,
Se-Young Yun
NeurIPS 2025 Workshop: Structured Probabilistic Inference & Generative Modeling
[paper]
C117
Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
Sangmin Bae*,
Yujin Kim*,
Reza Bayat*,
Sungnyun Kim,
Jiyoun Ha,
Tal Schuster,
Adam Fisch,
Hrayr Harutyunyan,
Ziwei Ji,
Aaron Courville,
Se-Young Yun
NeurIPS 2025
[paper] [code]
C116
KLASS: KL-Guided Fast Inference in Masked Diffusion Models
Seo Hyun Kim*,
Sunwoo Hong*,
Hojung Jung,
Youngrok Park,
Se-Young Yun
NeurIPS 2025 (Spotlight)
C115
Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators
Jongwoo Ko*,
Sungnyun Kim*,
Sungwoo Cho,
Se-Young Yun
NeurIPS 2025
[paper] [code]
C114
Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems
Minchan Jeong*,
Jongha Jon Ryu*,
Se-Young Yun,
Gregory W. Wornell
NeurIPS 2025
[paper] [code]
C113
AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
Woosung (Reiss) Koh,
Wonbeen Oh,
Jaein Jang,
MinHyung Lee,
Hyeongjin Kim,
Ah Yeon Kim,
Joonkee Kim,
Junghyun Lee,
Taehyeon Kim,
Se-Young Yun
NeurIPS 2025
[paper] [code]
C112
DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization
Yunseon Choi,
Minchan Jeong,
Soobin Um,
Kee-Eung Kim
NeurIPS 2025
W59
Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators
Jongwoo Ko*,
Sungnyun Kim*,
Sungwoo Cho,
Se-Young Yun
ICCV 2025 Workshop: "Knowledge-Intensive Multimodal Reasoning"
[paper] [code]
J25
VSCoDe: Visual-Augmentation Selection for Contrastive Decoding
Sihyeon Kim,
Boryeong Cho,
Sangmin Bae,
Sumyeong Ahn,
Se-Young Yun
Transactions on Machine Learning Research (2025)
[paper]
J24
DiffBlender: Composable and Versatile Multimodal Text-to-Image Diffusion Models
Sungnyun Kim,
Junsoo Lee,
Kibeom Hong,
Daesik Kim,
Namhyuk Ahn
Expert Systems with Applications (2025)
[paper] [code]
W58
Guiding Reasoning in Small Language Models with LLM Assistance
Yujin Kim*,
Euiin Yi*,
Minu Kim,
Se-Young Yun,
Taehyeon Kim
COLM 2025 Workshop: "The 1st Workshop on Test-time Scaling and Reasoning Models(SCALR)"
[paper] [code]
C111
Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games
David Guzman Piedrahita,
Yongjin Yang,
Mrinmaya Sachan,
Giorgia Ramponi,
Bernhard Schölkopf,
Zhijing Jin
COLM 2025
[paper]
C110
MAVFlow: Preserving Paralinguistic Elements with Conditional Flow Matching for Zero-Shot AV2AV Multilingual Translation
Sungwoo Cho,
Jeongsoo Choi,
Sungnyun Kim,
Se-Young Yun
ICCV 2025
[paper]
W57
Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness
Yongjin Yang*,
Euiin Yi*,
Jongwoo Ko,
Kimin Lee,
Zhijing Jin,
Se-Young Yun
ICML 2025 Workshop: "Multi-Agent Systems in the Era of Foundation Models: Opportunities, Challenges and Futures(MAS)"
[paper] [code]
W56
Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
Sangmin Bae*,
Yujin Kim*,
Reza Bayat*,
Sungnyun Kim,
Jiyoun Ha,
Tal Schuster,
Adam Fisch,
Hrayr Harutyunyan,
Ziwei Ji,
Aaron Courville,
Se-Young Yun
ICML 2025 Workshop: "ES-FoMo III: 3rd Workshop on Efficient Systems for Foundation Models"
[paper] [code]
W55
CUDA: Capturing Uncertainty and Diversity in Preference Feedback Augmentation
Sehyeok Kang*,
Jaewook Jeong*,
Se-Young Yun
ICML 2025 Workshop : "Models of Human Feedback for AI Alignment(MOFA)" (Oral)
C109
Code-Switching Red-Teaming: LLM Evaluation for Safety and Multilingual Understanding
Haneul Yoo,
Yongjin Yang,
Hwaran Lee
ACL 2025 Main
[paper] [code]
C108
Self-Training Elicits Concise Reasoning in Large Language Models
Tergel Munkhbat*,
Namgyu Ho*,
Seo Hyun Kim*,
Yongjin Yang,
Yujin Kim,
Se-Young Yun
Findings of ACL 2025
[paper] [code]
C107
DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
Jongwoo Ko,
Tianyi Chen,
Sungnyun Kim,
Tianyu Ding,
Luming Liang,
Ilya Zharkov,
Se-Young Yun
ICML 2025 (Oral)
[paper] [code]
C106
QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval
Jaehyun Kwak,
Ramahdani Muhammad Izaaz Inhar,
Se-Young Yun,
Sung-Ju Lee
ICML 2025
[paper] [code]
C105
Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model
Kaito Ariu,
Alexandre Proutière,
Se-Young Yun
ICML 2025
[paper]
C104
MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition
Sungnyun Kim,
Kangwook Jang,
Sangmin Bae,
Sungwoo Cho,
Se-Young Yun
ICML 2025
[paper]
W54
Probability-Flow ODE in Infinite-Dimensional Function Spaces
Kunwoo Na,
Junghyun Lee,
Se-Young Yun,
Sungbin Lim
ICLR Workshop: "Deep Generative Model in Machine Learning: Theory, Principle and Efficacy (DeLTa)" 2025
[paper]
W53
When Debate Fails: Bias Reinforcement in Large Language Models
Jihwan Oh,
Minchan Jeong,
Jongwoo Ko,
Se-Young Yun
ICLR Workshop: "LLM Reason and Plan" 2025
[paper]
J23
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning
Seongyoon Kim,
Minchan Jeong,
Sungnyun Kim,
Sungwoo Cho,
Sumyeong Ahn*,
Se-Young Yun*
Transactions on Machine Learning Research (2025)
[paper]
C103
Beyond Correlation: The Impact of Human Uncertainty in Measuring the Effectiveness of Automatic Evaluation and LLM-as-a-Judge
Aparna Elangovan,
Lei Xu,
Jongwoo Ko,
Mahsa Elyasi,
Ling Liu,
Sravan Bodapati,
Dan Roth
ICLR 2025
[paper] [code]
C102
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
Sangmin Bae,
Adam Fisch,
Hrayr Harutyunyan,
Ziwei Ji,
Seungyeon Kim,
Tal Schuster
ICLR 2025
[paper]
C101
SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins
Jongwoo Ko,
Saket Dingliwal,
Bhavana Ganesh,
Sailik Sengupta,
Sravan Bodapati,
Aram Galstyan
ICLR 2025
[paper]
C100
MA2E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder
Sehyeok Kang*,
Yongsik Lee*,
Gahee Kim,
Song Chong,
Se-Young Yun
ICLR 2025
[paper]
C99
Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation
Sungnyun Kim,
Sungwoo Cho,
Sangmin Bae,
Kangwook Jang,
Se-Young Yun
ICLR 2025
[paper] [code]
C98
C^2: Scalable Auto-Feedback for LLM-based Chart Generation
Woosung Koh*,
Jang Han Yoon*,
MinHyung Lee,
Youngjin Song,
Jaegwan Cho,
Jaehyun Kang,
Taehyeon Kim,
Se-Young Yun,
Youngjae Yu,
Bongshin Lee
NAACL 2025 (Oral)
[paper] [code]
C97
FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning
Woosung Koh,
Wonbeen Oh,
Siyeol Kim,
Suhin Shin,
Hyeongjin Kim,
Jaein Jang,
Junghyun Lee,
Se-Young Yun
ICLR 2025
[paper] [video] [code]
C96
Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models
Yongjin Yang*,
Sihyeon Kim*,
Hojung Jung,
Sangmin Bae,
SangMook Kim,
Se-Young Yun,
Kimin Lee
ICLR 2025
[paper]
C95
MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty
Yongjin Yang,
Haneul Yoo,
Hwaran Lee
Findings of NAACL 2025
[paper]
C94
Bayesian Principles Improve Prompt Learning in Vision-Language Models
Mingyu Kim*,
Jongwoo Ko*,
Mi-Jung Park
AISTATS 2025
[paper]
C93
Hierarchical Decomposition Framework for Steiner Tree Packing Problem
Hanbum Ko*,
Minu Kim*,
Han-Seul Jeong,
Sunghoon Hong,
Deunsol Yoon,
Youngjun Park,
Woohyung Lim,
Honglak Lee,
Moontae Lee,
Kanhoon Lee,
Sungbin Lim,
Sungryull Sohn
ICORES 2025 (Best Student Paper Award)
[paper]
2024
J22
FLR: Label-Mixture Regularization for Federated Learning with Noisy Labels
Taehyeon Kim,
Donggyu Kim,
Se-Young Yun
Transactions on Machine Learning Research (2024)
[paper]
W52
FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning
Woosung Koh,
Wonbeen Oh,
Siyeol Kim,
Suhin Shin,
Hyeongjin Kim,
Jaein Jang,
Junghyun Lee,
Se-Young Yun
NeurIPS Workshop: "Open-World Agents (OWA)" 2024
[paper] [video] [code]
W51
A Unified Framework for Speculative Decoding with Multiple Drafters as a Bandit
Taehyeon Kim*,
Hojung Jung*,
Se-Young Yun
NeurIPS Workshop: "Efficient Natural Language and Speech Processing (ENLSP-IV)" 2024
C92
Conditional Synthesis of 3D Molecules with Time Correction Sampler
Hojung Jung*,
Youngrok Park*,
Laura Schmid,
Jaehyeong Jo,
Dongkyu Lee,
Bongsang Kim,
Se-Young Yun,
Jinwoo Shin
NeurIPS 2024
[paper]
C91
An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints
Jung-hun Kim,
Milan Vojnovic,
Se-Young Yun
NeurIPS 2024
[paper]
C90
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
Junghyun Lee,
Se-Young Yun,
Kwang-Sung Jun
NeurIPS 2024
[paper] [code]
C89
Preference Alignment with Flow Matching
Minu Kim*,
Yongsik Lee*,
Sehyeok Kang,
Jihwan Oh,
Song Chong,
Se-Young Yun
NeurIPS 2024
[paper]
C88
Block Transformer: Global-to-Local Language Modeling for Fast Inference
Namgyu Ho*,
Sangmin Bae*,
Taehyeon Kim,
Hyunjik Jo,
Yireun Kim,
Tal Schuster,
Adam Fisch,
James Thorne,
Se-Young Yun
NeurIPS 2024
[paper] [code]
C87
Exploring & Improving Multi-token Prediction (Block Draft) in Language Modeling
Taehyeon Kim,
Ananda Theertha Suresh,
Kishore Papineni,
Michael Riley,
Sanjiv Kumar,
Adrian Benton
NeurIPS 2024
[paper]
C86
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters
Euiin Yi*,
Taehyeon Kim*,
Hongseok Jeung,
Du-Seong Chang,
Se-Young Yun
EMNLP 2024
[paper] [code]
C85
BAPO: Base-Anchored Preference Optimization for Personalized Alignment in Large Language Models
Gihun Lee,
Minchan Jeong,
Yujin Kim,
Hojung Jung,
Jaehoon Oh,
Sangmook Kim,
Se-Young Yun
Findings of EMNLP 2024
[paper]
C84
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models
Sungnyun Kim,
Haofu Liao,
Srikar Appalaraju,
Peng Tang,
Zhuowen Tu,
Ravi Kumar Satzoda,
R. Manmatha,
Vijay Mahadevan,
Stefano Soatto
EMNLP 2024
[paper]
C83
Stable Language Model Pre-training by Reducing Embedding Variability
Woojin Chung,
Jiwoo Hong,
Na Min An,
James Thorne,
Se-Young Yun
EMNLP 2024
[paper]
C82
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models
Yongjin Yang*,
Jongwoo Ko*,
Se-Young Yun
EMNLP 2024
J21
Non-backtracking Graph Neural Networks
Seonghyun Park* ,
Narae Ryu*,
Gahee Kim,
Dongyeop Woo,
Se-Young Yun,
Sungsoo Ahn
Transactions on Machine Learning Research (2024)
[paper]
C81
Learning Video Temporal Dynamics with Cross-Modal Attention for Robust Audio-Visual Speech Recognition
Sungnyun Kim*,
Kangwook Jang*,
Sangmin Bae,
Hoirin Kim,
Se-Young Yun
SLT 2024
[paper]
W50
Diffusion-based Episodes Augmentation for Offline Multi-Agent Reinforcement Learning
Jihwan Oh,
Sungnyun Kim,
Gahee Kim,
SeongHwan Kim,
Se-Young Yun
ICML Workshop: "Structured Probabilistic Inference & Generative Modeling (SPIGM)" 2024
[paper]
W49
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning
Seongyoon Kim,
Minchan Jeong,
Sungnyun Kim,
Sungwoo Cho,
Sumyeong Ahn*,
Se-Young Yun*
KDD Workshop: "International Joint Workshop on Federated Learning for Data Mining and Graph Analytics (FedKDD)" 2024
[paper]
W48
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
Junghyun Lee,
Se-Young Yun,
Kwang-Sung Jun
ICML Workshop: "Aligning Reinforcement Learning Experimentalists and Theorists (ARLET)" 2024 (Oral)
[paper]
W47
VACoDe: Visual Augmented Contrastive Decoding
Sihyeon Kim*,
Boryeong Cho*,
Sangmin Bae,
Sumyeong Ahn^,
Se-Young Yun^
ICML Workshop: "Trustworthy Multi-modal Foundation Models and AI Agents (TiFA)" 2024
W46
Exploring and Improving Drafts in Blockwise Parallel Decoding
Taehyeon Kim,
Ananda Theertha Suresh,
Kishore Papineni,
Michael Riley,
Sanjiv Kumar,
Adrian Benton
ICML Workshop: "Efficient Systems for Foundation Models" 2024
[paper]
W45
Gradient Descent with Polyak’s Momentum Finds Flatter Minima via Large Catapults
Prin Phunyaphibarn*,
Junghyun Lee*,
Bohan Wang,
Huishuai Zhang,
Chulhee Yun
ICML Workshop: "High-dimensional Learning Dynamics (HiLD): The Emergence of Structure and Reasoning" 2024
[paper]
W44
DPM: Dual Preferences-based Multi-Agent Reinforcement Learning
Sehyeok Kang,
Yongsik Lee,
Se-Young Yun
ICML Workshop: "Models of Human Feedback for AI Alignment (MFHAIA)" 2024
[paper]
C80
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
Yunseon Choi,
Sangmin Bae,
Seonghyun Ban,
Minchan Jeong,
Chuheng Zhang,
Lei Song,
Li Zhao,
Jiang Bian,
Kee-Eung Kim
ACL 2024 (Oral)
[paper] [code]
C79
DistiLLM: Towards Streamlined Distillation for Large Language Models
Jongwoo Ko,
Sungnyun Kim,
Tianyi Chen,
Se-Young Yun
ICML 2024
[paper] [code]
C78
Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs
Mingyu Kim,
Jun-Seong Kim,
Se-Young Yun,
Jin-Hwa Kim
ICML 2024
[paper] [video] [code]
C77
Fine-tuning Pre-trained Models for Robustness Under Noisy Labels
Sumyeong Ahn,
Sihyeon Kim,
Jongwoo Ko,
Se-Young Yun
IJCAI 2024
[paper]
C76
RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification
June-Woo Kim,
Miika Toikkanen,
Sangmin Bae,
Minseok Kim,
Ho-Young Jung
EMBC 2024
[paper]
J20
The Multimodality Cell Segmentation Challenge: Toward Universal Solutions
Jun Ma*,
Ronald Xie*,
Shamini Ayyadhury*,
Cheng Ge*,
Anubha Gupta*,
Ritu Gupta*,
Song Gu*,
Yao Zhang*,
Gihun Lee,
Joonkee Kim,
Wei Lou,
Haofeng Li,
Eric Upschulte,
Timo Dickscheid,
Jose Guilherme ´ de Almeida,
Yixin Wang,
Lin Han,
Xin Yang,
Marco Labagnara,
Sahand Jamal Rahi,
Carly Kempster,
Alice Pollitt,
Leon Espinosa,
Tam Mignot,
Jan Moritz Middeke,
Jan-Niklas Eckardt,
Wangkai Li,
Zhaoyang Li,
ˆ Xiaochen Cai,
Bizhe Bai,
Noah F. Greenwald,
David Van Valen,
Erin Weisbart,
Beth A. Cimini,
Zhuoshi Li,
Chao Zuo,
Oscar Bruck,
Gary D. Bader,
Bo Wang
Nature Methods (2024)
[paper] [code]
W43
Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL
Yongjin Yang,
Sihyeon Kim,
SangMook Kim,
Gyubok Lee,
Se-Young Yun,
Edward Choi
ICLR DPFM Workshop 2024
[paper]
W42
MA2E: Implicit Communication Through Masked Auto-Encoder in Multi-Agent Reinforcement Learning
Sehyeok Kang,
Yongsik Lee,
Gahee Kim,
Song Chong,
Se-Young Yun
ICLR GenAI4DM Workshop 2024
C75
Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models
Yujin Kim,
Jaehong Yoon,
Seonghyeon Ye,
Sangmin Bae,
Namgyu Ho,
Sung Ju Hwang,
Se-Young Yun
NAACL 2024
J19
Optimal Clustering from Noisy Binary Feedback
Kaito Ariu,
Jungseul Ok,
Alexandre Proutière,
Se-Young Yun
Machine Learning (2024)
[paper]
C74
FedSOL: Stabilized Orthogonal Learning in Federated Learning
Gihun Lee,
Minchan Jeong,
Sangmook Kim,
Jaehoon Oh,
Se-Young Yun
CVPR 2024
[paper]
C73
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion
Junghyun Lee,
Se-Young Yun,
Kwang-Sung Jun
AISTATS 2024
[paper] [code]
C72
Re3val: Reinforced and Reranked Generative Retrieval
EuiYul Song,
Sangryul Kim,
Haeju Lee,
Joonkee Kim,
James Thorne
Findings of EACL 2024
[paper]
C71
Querying Easily Flip-flopped Samples for Deep Active Learning
Seong Jin Cho,
Gwangsu Kim,
Junghyun Lee,
Jinwoo Shin,
Chang D. Yoo
ICLR 2024
[paper]
C70
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions
Taehyeon Kim*,
Joonkee Kim*,
Gihun Lee*,
Se-Young Yun
ICLR 2024 (Spotlight)
[paper] [code]
C69
Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound Classification
June-Woo Kim,
Sangmin Bae,
Won-Yang Cho,
Byungjo Lee,
Ho-Young Jung
ICASSP 2024
[paper]
C68
STaR: Distilling Speech Temporal Relation for Lightweight Speech Self-Supervised Learning Models
Kangwook Jang,
Sungnyun Kim,
Hoirin Kim
ICASSP 2024 (Best Student Paper Award)
[paper]
C67
Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning
Yongjin Yang,
Taehyeon Kim,
Se-Young Yun
AAAI 2024
[paper]
2023
W41
Exploring the Retrieval Mechanism for Tabular Deep Learning
Felix den Breejen,
Sangmin Bae,
Stephen Cha,
Tae-Young Kim,
Seoung-Hyun Koh,
Se-Young Yun
NeurIPS Workshop: "Table Representation Learning" 2023
[paper]
W40
FedSoL: Bridging Global Alignment and Local Generality in Federated Learning
Gihun Lee,
Minchan Jeong,
SangMook Kim,
Jaehoon Oh,
Se-Young Yun
NeurIPS Workshop: "Federated Learning in the Age of Foundation Models" 2023
[paper]
C66
On the convergence time in graphical games: a locality-sensitive approach
Juho Hirvonen,
Laura Schmid,
Krishnendu Chatterjee,
Stefan Schmid
OPODIS 2023
[paper]
C65
Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks
Junghyun Lee,
Laura Schmid,
Se-Young Yun
OPODIS 2023 (Best Student Paper Award)
[paper] [code]
W39
Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation
Kangwook Jang*,
Sungnyun Kim*,
Se-Young Yun,
Hoirin Kim
NeurIPS Workshop: "Self-Supervised Learning - Theory and Practice" 2023
[paper] [code]
W38
Refined Tensorial Radiance Field: Harnessing Coordinate-Based Networks for Novel View Synthesis from Sparse Inputs
Mingyu Kim,
Jun-Seong Kim,
Se-Young Yun,
Jin-Hwa Kim
NeurIPS Workshop: "Deep Learning and Inverse Problems" 2023
[paper]
W37
Large Catapults in Momentum Gradient Descent with Warmup: An Empirical Study
Prin Phunyaphibarn*,
Junghyun Lee*,
Bohan Wang,
Huishuai Zhang,
Chulhee Yun
NeurIPS Workshop: "Mathematics of Modern Machine Learning (M3L)" 2023 (Oral)
[paper]
W36
Non-backtracking Graph Neural Networks
Seonghyun Park*,
Narae Ryu*,
Gahee Kim,
Dongyeop Woo,
Se-Young Yun,
Sungsoo Ahn
NeurIPS Workshop: "New Frontiers in Graph Learning" 2023 (Oral)
[paper]
W35
Node Mutual Information: Enhancing Graph Neural Networks for Heterophily
Seongjin Choi*,
Gahee Kim*,
Se-Young Yun
NeurIPS Workshop: "New Frontiers in Graph Learning" 2023
[paper]
W34
FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning
Seongyoon Kim,
Gihun Lee,
Jaehoon Oh^,
Se-Young Yun^
NeurIPS Workshop: "Federated Learning in the Age of Foundation Models" 2023
[paper]
W33
Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions
Taehyeon Kim*,
Joonkee Kim*,
Gihun Lee*,
Se-Young Yun
NeurIPS Workshop: "Instruction Tuning and Instruction Following" 2023
[paper] [code]
W32
Parameter-Averaging Laws for Multitask Language Models
Woojin Chung,
Hyowon Cho,
James Thorne,
Se-Young Yun
NeurIPS Workshop: "Federated Learning in the Age of Foundation Models" 2023
[paper]
W31
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models
Yujin Kim,
Jaehong Yoon,
Seonghyeon Ye,
Sung Ju Hwang,
Se-Young Yun
NeurIPS Workshop: "SyntheticData4ML" 2023 (Oral)
[paper]
C64
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning
Haeju Lee*,
Minchan Jeong*,
Se-Young Yun,
Kee-Eung Kim
Findings of EMNLP 2023
[paper]
C63
NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models
Jongwoo Ko*,
Seungjoon Park*,
Yujin Kim,
Sumyeong Ahn,
Du-Seong Chang,
Euijai Ahn,
Se-Young Yun
Findings of EMNLP 2023
[paper] [code]
C62
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding
Sangmin Bae*,
Jongwoo Ko*,
Hwanjun Song,
Se-Young Yun
EMNLP 2023
[paper] [code]
C61
HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning
Yongjin Yang*,
Joonkee Kim*,
Yujin Kim*,
Namgyu Ho,
James Thorne,
Se-Young Yun
Findings of EMNLP 2023
[paper] [code]
C60
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning
Hojoon Lee*,
Hanseul Cho*,
Hyunseung Kim*,
Daehoon Gwak,
Joonkee Kim,
Jaegul Choo,
Se-Young Yun,
Chulhee Yun
NeurIPS 2023
[paper]
C59
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint
Junghyun Lee*,
Hanseul Cho*,
Se-Young Yun,
Chulhee Yun
NeurIPS 2023
[paper] [code]
C58
Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Federated Object Detection
Taehyeon Kim,
Eric Lin,
Junu Lee,
Christian Lau,
Vaikkunth Mugunthan
NeurIPS 2023
[paper] [code]
C57
Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation
Minchang Kim*,
Yongjin Yang*,
Jung Hyun Ryu,
Taesup Kim
CIKM 2023
[paper]
W30
Hierarchical Decomposition Framework for Feasibility-hard Combinatorial Optimization
Hanbum Ko*,
Minu Kim*,
Han-Seul Jeong,
Sunghoon Hong,
Deunsol Yoon,
Youngjoon Park,
Woohyung Lim,
Honglak Lee,
Moontae Lee,
Kanghoon Lee,
Sungbin Lim,
Sungryull Sohn
ICML Workshop: "Sampling and Optimization in Discrete Space" 2023
[paper]
W29
An Optimal Clustering Algorithm for the Labeled Stochastic Block Model
Kaito Ariu,
Se-Young Yun,
Alexandre Proutière
ICML Workshop: "Sampling and Optimization in Discrete Space" 2023
[paper]
C56
Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation
Kangwook Jang*,
Sungnyun Kim*,
Se-Young Yun,
Hoirin Kim
INTERSPEECH 2023
[paper] [code]
C55
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification
Sangmin Bae*,
June-Woo Kim*,
Wonyang Cho,
Hyerim Baek,
Soyoun Son,
Byungjo Lee,
Changwan Ha,
Kyungpil Tae,
Sungnyun Kim,
Se-Young Yun
INTERSPEECH 2023
[paper] [code]
C54
Large Language Models Are Reasoning Teachers
Namgyu Ho,
Laura Schmid,
Se-Young Yun
ACL 2023
[paper] [code]
J18
The StarCraft Multi-Agent Exploration Challenges: Learning Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
Mingyu Kim*,
Jihwan Oh*,
Yongsik Lee,
Joonkee Kim,
SeongHwan Kim,
Song Chong,
Se-Young Yun
IEEE Access (2023)
[paper] [code]
J17
Quantitative Assessment can Stabilize Indirect Reciprocity under Imperfect Information
Laura Schmid,
Farbod Ekbatani,
Christian Hilbe,
Krishnendu Chatterjee
Nature Communications (2023)
[paper]
W28
Efficient Utilization of Pre-trained Model for Learning with Noisy Labels
Jongwoo Ko*,
Sumyeong Ahn*,
Se-Young Yun
ICLR Workshop: "Pitfalls of Limited Data and Computation for Trustworthy ML" 2023 (Oral)
[paper]
C53
Re-thinking Federated Active Learning based on Inter-class Diversity
SangMook Kim*,
Sangmin Bae*,
Hwanjun Song,
Se-Young Yun
CVPR 2023
[paper] [code]
C52
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
Sungnyun Kim*,
Sangmin Bae*,
Se-Young Yun
CVPR 2023
[paper] [video] [code]
W27
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
Sungnyun Kim*,
Sangmin Bae*,
Se-Young Yun
CVPR Workshop: "Fine-Grained Visual Categorization" 2023 (Invited)
[paper] [code]
C51
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective
Jongwoo Ko,
Seungjoon Park,
Minchan Jeong,
Suk-Jin Hong,
Euijai Ahn,
Du-Seong Chang,
Se-Young Yun
Findings of EACL 2023
[paper] [code]
C50
CUDA: Curriculum of Data Augmentation for Long-tailed Recognition
Sumyeong Ahn*,
Jongwoo Ko*,
Se-Young Yun
ICLR 2023 (Spotlight, notable-top-25%)
[paper]
C49
Mitigating Dataset Bias by Using Per-Sample Gradient
Sumyeong Ahn*,
Seongyoon Kim*,
Se-Young Yun
ICLR 2023
[paper]
C48
Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles
Jung-hun Kim,
Se-Young Yun,
Minchan Jeong,
Junhyun Nam,
Jinwoo Shin,
Richard Combes
AISTATS 2023
[paper]
C47
Nearly Optimal Latent State Decoding in Block MDPs
Yassir Jedra*,
Junghyun Lee*,
Alexandre Proutière,
Se-Young Yun
AISTATS 2023
[paper] [code]
C46
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning
Jihwan Oh*,
Joonkee Kim*,
Minchan Jeong,
Se-Young Yun
AAMAS 2023
[paper]
C39
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise
Jongwoo Ko*,
Bongsoo Yi*,
Se-Young Yun
AAAI 2023
[paper] [code]
C38
Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-network
Sangmin Bae*,
Sungnyun Kim*,
Jongwoo Ko,
Gihun Lee,
Seungjong Noh,
Se-Young Yun
AAAI 2023 (Oral)
[paper] [video] [code]
C37
Denoising After Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels
Sumyeong Ahn,
Se-Young Yun
AAAI 2023 (Oral)
[paper]
2022
J16
Meta-learning Amidst Heterogeneity and Ambiguity
KyeongRyeol Go,
Mingyu Kim,
Se-Young Yun
IEEE Access (2022)
[paper]
C45
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks
Jaehoon Oh*,
Jongwoo Ko*,
Se-Young Yun
EMNLP 2022
[paper] [code]
C44
Robust Streaming PCA
Daniel Bienstock*,
Minchan Jeong*,
Apurv Shukla*,
Se-Young Yun*
NeurIPS 2022
[paper]
C43
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning
Gihun Lee* ,
Minchan Jeong*,
Yongjin Shin,
Sangmin Bae,
Se-Young Yun
NeurIPS 2022
[paper] [code]
C42
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
Jaehoon Oh*,
Sungnyun Kim*,
Namgyu Ho*,
Jin-Hwa Kim,
Hwanjun Song,
Se-Young Yun
NeurIPS 2022
[paper] [code]
W26
Revisiting the Activation Function for Federated Image Classification
Jaewoo Shin,
Taehyeon Kim,
Se-Young Yun
NeurIPS Workshop: "Federated Learning: Recent Advances and New Challenges" 2022
[paper] [code]
W25
Layover Intermediate Layer for Multi-Label Classification in Efficient Transfer Learning
Seongha Eom,
Taehyeon Kim,
Se-Young Yun
NeurIPS Workshop: "Has it Trained Yet? A Workshop for Algorithmic Efficiency in Practical Neural Network Training" 2022
[paper] [code]
W24
CUDA: Curriculum of Data Augmentation for Long-tailed Recognition
Sumyeong Ahn*,
Jongwoo Ko*,
Se-Young Yun
NeurIPS Workshop: "Machine Learning Safety" 2022
[paper]
W23
CUDA: Curriculum of Data Augmentation for Long-tailed Recognition
Sumyeong Ahn*,
Jongwoo Ko*,
Se-Young Yun
NeurIPS Workshop: "Distribution Shifts: Connecting Methods and Applications" 2022
[paper]
W22
Mitigating Dataset Bias by Using Per-Sample Gradient
Sumyeong Ahn*,
Seongyoon Kim*,
Se-Young Yun
NeurIPS Workshop: "Machine Learning Safety" 2022
[paper]
W21
Mitigating Dataset Bias by Using Per-Sample Gradient
Sumyeong Ahn*,
Seongyoon Kim*,
Se-Young Yun
NeurIPS Workshop: "Distribution Shifts: Connecting Methods and Applications" 2022
[paper]
W20
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
Sungnyun Kim*,
Sangmin Bae*,
Se-Young Yun
NeurIPS Workshop: "Self-Supervised Learning - Theory and Practice" 2022
[paper]
C41
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning
Jaehoon Oh*,
Sungnyun Kim*,
Namgyu Ho*,
Jin-Hwa Kim,
Hwanjun Song,
Se-Young Yun
CIKM 2022 (Short)
[paper] [video]
C40
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning
Sangmook Kim,
Wonyoung Shin,
Soohyuk Jang,
Hwanjun Song,
Se-Young Yun
CIKM 2022 (Long)
[paper]
J15
Interpretable Deep Learning Model for Analyzing the Relationship between the Electronic Structure and Chemisorption Property
Doosun Hong*,
Jaehoon Oh*,
Kihoon Bang,
Soonho Kwon,
Se-Young Yun,
Hyuck Mo Lee
The Journal of Physical Chemistry Letters (2022)
[paper]
J14
Accelerated MM Algorithms for Ranking Scores Inference from Comparison Data
Milan Vojnovic,
Se-Young Yun,
Kaifang Zhou
Operations Research (2022)
[paper]
J13
Test Score Algorithms for Budgeted Stochastic Utility Maximization
Dabeen Lee,
Milan Vojnovic,
Se-Young Yun
INFORMS Journal of Optimization (2022)
[paper]
W19
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning
Jaehoon Oh*,
Sungnyun Kim*,
Namgyu Ho*,
Jin-Hwa Kim,
Hwanjun Song,
Se-Young Yun
ICML Workshop: "Updatable Machine Learning" 2022
[paper]
W18
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
Mingyu Kim*,
Jihwan Oh*,
Yongsik Lee,
Joonkee Kim,
SeongHwan Kim,
Song Chong,
Se-Young Yun
ICML Workshop : "AI for Agent Based Modeling" 2022 (Spotlight)
[paper] [code]
W17
LG-FAL : Federated Active Learning Strategy using Local and Global Models
SangMook Kim*,
Sangmin Bae*,
Hwanjun Song,
Se-Young Yun
ICML Workshop: "Adaptive Experimental Design and Active Learning in the Real World" 2022
[paper]
W16
Supernet Training for Federated Image Classification under System Heterogeneity
Taehyeon Kim,
Se-Young Yun
ICML Workshop: "Dynamic Neural Networks" 2022 (Oral)
[paper]
W15
Revisiting the Updates of a Pre-trained Model for Few-shot Learning
Yujin Kim*,
Jaehoon Oh*,
Sungnyun Kim,
Se-Young Yun
ICML Workshop: "Updatable Machine Learning" 2022 (Oral)
[paper]
W14
Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search
Taehyeon Kim,
Heesoo Myeong,
Se-Young Yun
ICML Workshop: "Hardware Aware Efficient Training (HAET)” 2022
[paper]
W13
Real-time and Explainable Detection of Epidemics with Global News Data
Sungnyun Kim*,
Jaewoo Shin*,
Seongha Eom,
Jihwan Oh,
Se-Young Yun
ICML Workshop: "Healthcare AI and COVID-19" 2022
[paper] [video] [code]
W12
Risk Perspective Exploration in Distributional Reinforcement Learning
Jihwan Oh,
Joonkee Kim,
Se-Young Yun
ICML Workshop: "AI for Agent Based Modeling" 2022
[paper]
C36
Rotting Infinitely Many-Armed Bandits
Jung-hun Kim,
Milan Vojnovic,
Se-Young Yun
ICML 2022 (Spotlight)
[paper]
J12
Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification
Taehyeon Kim,
Se-Young Yun
IEEE Access (2022)
[paper]
J11
Calibration of Few-Shot Classification Tasks: Mitigating Misconfidence From Distribution Mismatch
Sungnyun Kim,
Se-Young Yun
IEEE Access (2022)
[paper] [code]
W11
ALASCA: Rethinking Label Smoothing for Deep Learning Under Label Noise
Jongwoo Ko,
Bongsoo Yi,
Se-Young Yun
ICML Workshop: “Principle of Distribution Shift (PODS)” 2022
[paper]
C35
FedBABU: Towards Enhanced Representation for Federated Image Classification
Jaehoon Oh*,
SangMook Kim*,
Se-Young Yun
ICLR 2022
[paper] [code]
C34
Neural Processes with Stochastic Attention: Paying more attention to the context dataset
Mingyu Kim,
Kyeongryeol Go,
Se-Young Yun
ICLR 2022
[paper] [video] [code]
J10
Deep Learning-Based Cataract Detection and Grading from Slit-Lamp and Retro-Illumination Photographs: Model Development and Validation Study
Ki Young Son*,
Jongwoo Ko*,
Eunseok Kim,
Si Young Lee,
Min-Ji Kim,
Jisang Han,
Eunhae Shin,
Tae-Young Chung,
Dong Hui Lim
Ophthalmology Science (2022)
[paper]
C33
Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold
Junghyun Lee,
Gwangsu Kim,
Matt Olfat,
Mark Hasegawa-Johnson,
Chang D. Yoo
AAAI 2022
[paper] [code]
2021
C32
FINE Samples for Learning with Noisy Labels
Taehyeon Kim*,
Jongwoo Ko*,
Sangwook Cho,
Jinhwan Choi,
Se-Young Yun
NeurIPS 2021
[paper] [code]
W10
FedBABU: Towards Enhanced Representation for Federated Image Classification
Jaehoon Oh,
SangMook Kim,
Se-Young Yun
NeurIPS Workshop: "New Frontiers in Federated Learning: Privacy, Fairness, Robustness, Personalization and Data Ownership" 2021
[paper]
W9
Neural Processes with Stochastic Attention: Paying more attention to the context dataset
Mingyu Kim,
Kyeongryeol Go,
Se-Young Yun
NeurIPS Workshop: "5th Workshop on Meta-Learning" 2021
[paper]
C31
Preliminary Evaluation of SWAY in Permutation Decision Space via a Novel Euclidean Embedding
Junghyun Lee*,
Chani Jung*,
Yoo Hwa Park*,
Dongmin Lee*,
Juyeon Yoon,
Shin Yoo
SSBSE 2021
[paper] [code]
C30
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation
Taehyeon Kim*,
Jaehoon Oh*,
Nakyil Kim,
Sangwook Cho,
Se-Young Yun
IJCAI 2021
[paper] [code]
C29
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis
Kyoungseok Jang,
Kwang-Sung Jun,
Se-Young Yun,
Wanmo Kang
ICML 2021
[paper]
J9
Deep Gaussian process models for integrating multifidelity experiments with nonstationary relationships
Jongwoo Ko,
Heeyoung Kim
IISE Transactions (2022)
[paper]
C28
BOIL: Towards Representation Change for Few-shot Learning
Jaehoon Oh*,
Hyungjun Yoo*,
ChangHwan Kim,
Se-Young Yun
ICLR 2021
[paper] [code]
W8
TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-based Architecture
Jin-woo Lee,
Jaehoon Oh,
Sungsu Lim,
Se-Young Yun,
Jae-Gil Lee
AAAI Workshop: "Toward Robust, Secure and Efficient Machine Learning" 2021
[paper]
2020
J8
Clustering in Block Markov Chains
Jaron Sanders,
Alexandre Proutière,
Se-Young Yun
Annals of Statistics (2020)
[paper]
W7
Adaptive Local Bayesian Optimization Over Multiple Discrete Variables
Taehyeon Kim*,
Jaeyeon Ahn*,
Nakyil Kim*,
Se-Young Yun
NeurIPS Workshop: "Competition Track on Black-Box Optimization Challenge" 2020
[paper]
C27
Regret in Online Recommendation Systems
Kaito Ariu,
Narae Ryu,
Se-Young Yun,
Alexandre Proutière
NeurIPS 2020
[paper]
W6
MixCo: Mix-up Contrastive Learning for Visual Representation
Sungnyun Kim*,
Gihun Lee*,
Sangmin Bae*,
Se-Young Yun
NeurIPS Workshop: "Self-Supervised Learning - Theory and Practice" 2020
[paper] [code]
W5
FEWER: Federated Weight Recovery
Yongjin Shin,
Gihun Lee,
Seungjae Shin,
Se-Young Yun,
Il-Chul Moon
DistributedML: 1st Workshop on Distributed Machine Learning 2020
[paper]
W4
Precipitation Nowcasting Using Grid-based Data in South Korea Region
ChangHwan Kim,
Se-Young Yun
ICDM Workshop: The 4th International Workshop on Big Data Analysis for Smart Energy (BigData4SmartEnergy) 2020
[paper]
W3
SIPA: A Simple Framework for Efficient Networks
Gihun Lee*,
Sangmin Bae*,
Jaehoon Oh,
Se-Young Yun
ICDM Workshop: The 4th International Workshop on Big Data Analysis for Smart Energy (BigData4SmartEnergy) 2020
[paper]
C26
Convergence Rates of Gradient Descent and MM Algorithms for Bradley-Terry Models
Milan Vojnovic,
Se-Young Yun,
Kaifang Zhou
AISTATS 2020
[paper]
J7
A Test Score-Based Approach to Stochastic Submodular Optimization
Shreyas Sekar,
Milan Vojnovic,
Se-Young Yun
Management Science (2021)
[paper]
J6
Reinforcement with Fading Memories
Kuang Xu,
Se-Young Yun
Mathematics of Operations Research (2020)
[paper]
C25
Accelerating Randomly Projected Gradient with Variance Reduction
SeongYoon Kim,
Se-Young Yun
BigComp 2020
[paper]
2019
C24
Optimal Sampling and Clustering in the Stochastic Block Model
Se-Young Yun,
Alexandre Proutière
NeurIPS 2019
[paper]
C23
Spectral Approximate Inference
Sejun Park,
Eunho Yang,
Se-Young Yun,
Jinwoo Shin
ICML 2019
[paper]
2018
W2
Ted Talk Recommender Using Speech Transcripts
Jaehoon Oh*,
Injung Lee*,
Yeon Seonwoo*,
Simin Sung,
Ilbong Kwon,
Jae-Gil Lee
ASONAM Demos and Exhibitions 2018
[paper]
C22
Reinforcement with Fading Memories
Kuang Xu,
Se-Young Yun
SIGMETRICS (Extended Abstracts) 2018
[paper]
C21
Noisy Power Method with Grassmann Average
Se-Young Yun
BigComp 2018
[paper]
2017
W1
Non-Stationary Streaming PCA
Daniel Bienstock,
Apurv Shukla,
Se-Young Yun
NeurIPS Workshop: "Time Series Workshop" 2017
[paper]
J5
Game Theoretic Perspective of Optimal CSMA
Hyeryung Jang,
Se-Young Yun,
Jinwoo Shin,
Yung Yi
IEEE Transactions on Wireless Communications (2018)
[paper]
C20
Collaborative Clustering: Sample Complexity and Efficient Algorithms
Jungseul Ok,
Se-Young Yun,
Alexandre Proutière,
Rami Mochaourab
ALT 2017
[paper]
C19
On the Delay Scaling Laws of Cache Networks
Boram Jin,
Daewoo Kim,
Se-Young Yun,
Jinwoo Shin,
Seongik Hong,
Byoung-Joon B.J. Lee,
Yung Yi
ACM CFI 2017
[paper]
2016
C18
Optimal Cluster Recovery in the Labeled Stochastic Block Model
Se-Young Yun,
Alexandre Proutière
NIPS 2016
[paper]
C17
Distributed coordination maximization over networks: a stochastic approximation approach
Hyeryung Jang,
Se-Young Yun,
Jinwoo Shin,
Yung Yi
MobiHoc 2016
[paper]
C16
Parameter Estimation for Generalized Thurstone Choice Models
Milan Vojnovic,
Se-Young Yun
ICML 2016
[paper]
J4
Distributed Medium Access Over Time-Varying Channels
Se-Young Yun,
Jinwoo Shin,
Yung Yi
IEEE/ACM Transactions on Networking (2016)
[paper]
2015
C15
Fast and Memory Optimal Low-Rank Matrix Approximation
Se-Young Yun,
Marc Lelarge,
Alexandre Proutière
NIPS 2015
[paper]
J3
Delay Optimal CSMA With Linear Virtual Channels Under a General Topology
Donggyu Yun,
Dongmyung Lee,
Se-Young Yun,
Jinwoo Shin,
Yung Yi
IEEE/ACM Transactions on Networking (2016)
[paper]
J2
CSMA Using the Bethe Approximation: Scheduling and Utility Maximization
Se-Young Yun,
Jinwoo Shin,
Yung Yi
IEEE Transactions on Information Theory (2015)
[paper]
C14
Distributed Proportional Fair Load Balancing in Heterogeneous Systems
Se-Young Yun,
Alexandre Proutière
SIGMETRICS 2015
[paper]
2014
C13
Streaming, Memory Limited Algorithms for Community Detection
Se-Young Yun,
Marc Lelarge,
Alexandre Proutière
NIPS 2014
[paper]
C12
Community Detection via Random and Adaptive Sampling
Se-Young Yun,
Alexandre Proutière
COLT 2014
[paper]
C11
Provable per-link delay-optimal CSMA for general wireless network topology
Dongmyung Lee,
Donggyu Yun,
Jinwoo Shin,
Yung Yi,
Se-Young Yun
IEEE INFOCOM 2014
[paper]
C10
Distributed learning for utility maximization over CSMA-based wireless multihop networks
Hyeryung Jang,
Se-Young Yun,
Jinwoo Shin,
Yung Yi
IEEE INFOCOM 2014
[paper]
2013
C9
CSMA over time-varying channels: optimality, uniqueness and limited backoff rate
Se-Young Yun,
Jinwoo Shin,
Yung Yi
MobiHoc 2013 (Best Paper Award)
[paper]
C8
CSMA using the Bethe approximation for utility maximization
Se-Young Yun,
Jinwoo Shin,
Yung Yi
IEEE ISIT 2013
[paper]
2012
C7
Optimal CSMA: A survey
Se-Young Yun,
Yi Yung,
Jinwoo Shin,
Do Young Eun
IEEE ICCS 2012
[paper]
C6
From Glauber dynamics to Metropolis algorithm: Smaller delay in optimal CSMA
Chul-Ho Lee,
Do Young Eun,
Se-Young Yun,
Yung Yi
IEEE ISIT 2012
[paper]
J1
The Economic Effects of Sharing Femtocells
Se-Young Yun,
Yung Yi,
Dong-Ho Cho,
Jeonghoon Mo
IEEE Journal on Selected Areas in Communications (2012)
[paper]
2011
C5
Open or close: On the sharing of femtocells
Se-Young Yun,
Yung Yi,
Dong-Ho Cho,
Jeonghoon Mo
IEEE INFOCOM 2011
[paper]
C4
Multi-channel MAC protocol for QoS support in ad-hoc network
Kyung-Seop Shin,
Se-Young Yun,
Dong-Ho Cho
IEEE CCNC 2011
[paper]
2010
C3
Traffic density based power control scheme for femto AP
Se-Young Yun,
Dong-Ho Cho
IEEE PIMRC 2010
[paper]
C2
On the Pricing of Femtocell Services
Se-Young Yun,
Yung Yi,
Dongho Cho,
Jeonghoon Mo
ACM CFI 2010
[paper]
2009
C1
Decentralized power control scheme in femtocell networks: A game theoretic approach
Eun Jin Hong,
Se-Young Yun,
Dong-Ho Cho
IEEE PIMRC 2009
[paper]

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