| 2026 | ACL | Two Heads Are Better Than One: Audio-Visual Speech Error Correction with Dual Hypotheses. | Sungnyun Kim, Kangwook Jang, Sungwoo Cho, Joon Son Chung, Hoirin Kim, Se-Young Yun |
| 2026 | ACL | Multi-Drafter Speculative Decoding with Alignment Feedback. | Taehyeon Kim, Hojung Jung, Se-Young Yun |
| 2026 | ACL | MERIT Feedback Elicits Better Bargaining in LLM Negotiators. | Jihwan Oh, Murad Aghazada, Yooju Shin, Se-Young Yun, Taehyeon Kim |
| 2025 | ACL | Self-Training Elicits Concise Reasoning in Large Language Models. | Tergel Munkhbat, Namgyu Ho, Seo Hyun Kim, Yongjin Yang, Yujin Kim, Se-Young Yun |
| 2025 | ICCV | MAVFlow: Preserving Paralinguistic Elements with Conditional Flow Matching for Zero-Shot AV2AV Multilingual Translation. | Sungwoo Cho, Jeongsoo Choi, Sungnyun Kim, Se-Young Yun |
| 2025 | ICLR | MA2E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder. | Sehyeok Kang, Yongsik Lee, Gahee Kim, Song Chong, Se-Young Yun |
| 2025 | ICLR | Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation. | Sungnyun Kim, Sungwoo Cho, Sangmin Bae, Kangwook Jang, Se-Young Yun |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICML | Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model. | Kaito Ariu, Alexandre Proutire, Se-Young Yun |
| 2025 | ICML | MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition. | Sungnyun Kim, Kangwook Jang, Sangmin Bae, Sungwoo Cho, Se-Young Yun |
| 2025 | ICML | 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 |
| 2025 | ICML | QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval. | Jaehyun Kwak, Ramahdani Muhammad Izaaz Inhar, Se-Young Yun, Sung-Ju Lee |
| 2025 | NAACL | C²: 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 |
| 2024 | AAAI | Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning. | Yongjin Yang, Taehyeon Kim, Se-Young Yun |
| 2024 | AISTATS | Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion. | Junghyun Lee, Se-Young Yun, Kwang-Sung Jun |
| 2024 | CVPR | FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning. | Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun |
| 2024 | EMNLP | Stable Language Model Pre-training by Reducing Embedding Variability. | Woojin Chung, Jiwoo Hong, Na Min An, James Thorne, Se-Young Yun |
| 2024 | EMNLP | BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization. | Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, SangMook Kim, Se-Young Yun |
| 2024 | EMNLP | Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models. | Yongjin Yang, Jongwoo Ko, Se-Young Yun |
| 2024 | EMNLP | Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters. | Euiin Yi, Taehyeon Kim, Hongseok Jeung, Du-Seong Chang, Se-Young Yun |
| 2024 | ICLR | Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions. | Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun |
| 2024 | ICML | 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 |
| 2024 | ICML | DistiLLM: Towards Streamlined Distillation for Large Language Models. | Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young Yun |
| 2024 | IJCAI | Fine-tuning Pre-trained Models for Robustness under Noisy Labels. | Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun |
| 2024 | NAACL | 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 |
| 2023 | AAAI | Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels. | Sumyeong Ahn, Se-Young Yun |
| 2023 | AAAI | Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network. | Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun |
| 2023 | AAAI | A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise. | Jongwoo Ko, Bongsoo Yi, Se-Young Yun |
| 2023 | ACL | Large Language Models Are Reasoning Teachers. | Namgyu Ho, Laura Schmid, Se-Young Yun |
| 2023 | AISTATS | Nearly Optimal Latent State Decoding in Block MDPs. | Yassir Jedra, Junghyun Lee, Alexandre Proutire, Se-Young Yun |
| 2023 | AISTATS | Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles. | Jung-Hun Kim, Se-Young Yun, Minchan Jeong, Junhyun Nam, Jinwoo Shin, Richard Combes |
| 2023 | CVPR | Re-Thinking Federated Active Learning Based on Inter-Class Diversity. | Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun |
| 2023 | CVPR | Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning. | Sungnyun Kim, Sangmin Bae, Se-Young Yun |
| 2023 | EACL | Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective. | Jongwoo Ko, Seungjoon Park, Minchan Jeong, Sukjin Hong, Euijai Ahn, Du-Seong Chang, Se-Young Yun |
| 2023 | EMNLP | Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. | Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning. | Haeju Lee, Minchan Jeong, Se-Young Yun, Kee-Eung Kim |
| 2023 | EMNLP | HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning. | Yongjin Yang, Joonkee Kim, Yujin Kim, Namgyu Ho, James Thorne, Se-Young Yun |
| 2023 | ICLR | CUDA: Curriculum of Data Augmentation for Long-tailed Recognition. | Sumyeong Ahn, Jongwoo Ko, Se-Young Yun |
| 2023 | ICLR | Mitigating Dataset Bias by Using Per-Sample Gradient. | Sumyeong Ahn, Seongyoon Kim, Se-Young Yun |
| 2023 | Interspeech | Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification. | Sangmin Bae, June-Woo Kim, Won-Yang Cho, Hyerim Baek, Soyoun Son, Byungjo Lee, Changwan Ha, Kyongpil Tae, Sungnyun Kim, Se-Young Yun |
| 2023 | Interspeech | 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 |
| 2023 | OPODIS | Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks. | Junghyun Lee, Laura Schmid, Se-Young Yun |
| 2022 | CIKM | FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning. | Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song, Se-Young Yun |
| 2022 | CIKM | 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 |
| 2022 | EMNLP | Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks. | Jaehoon Oh, Jongwoo Ko, Se-Young Yun |
| 2022 | ICLR | Neural Processes with Stochastic Attention: Paying more attention to the context dataset. | Mingyu Kim, Kyeongryeol Go, Se-Young Yun |
| 2022 | ICLR | FedBABU: Toward Enhanced Representation for Federated Image Classification. | Jaehoon Oh, Sangmook Kim, Se-Young Yun |
| 2022 | ICML | Real-time and Explainable Detection of Epidemics with Global News Data. | Sungnyun Kim, Jaewoo Shin, Seongha Eom, Jihwan Oh, Se-Young Yun |
| 2022 | ICML | Rotting Infinitely Many-Armed Bandits. | Jung-Hun Kim, Milan Vojnovic, Se-Young Yun |
| 2021 | ICLR | BOIL: Towards Representation Change for Few-shot Learning. | Jaehoon Oh, Hyungjun Yoo, ChangHwan Kim, Se-Young Yun |
| 2021 | ICML | Improved Regret Bounds of Bilinear Bandits using Action Space Analysis. | Kyoungseok Jang, Kwang-Sung Jun, Se-Young Yun, Wanmo Kang |
| 2021 | IJCAI | Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation. | Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun |
| 2020 | AISTATS | Convergence Rates of Gradient Descent and MM Algorithms for Bradley-Terry Models. | Milan Vojnovic, Se-Young Yun, Kaifang Zhou |
| 2020 | ICDM | Precipitation Nowcasting Using Grid-based Data in South Korea Region. | ChangHwan Kim, Se-Young Yun |
| 2020 | ICDM | SIPA: A Simple Framework for Efficient Networks. | Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun |
| 2019 | ICML | Spectral Approximate Inference. | Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin |
| 2019 | RecSys | A pipelined hybrid recommender system for ranking the items on the display. | Jaehoon Oh, Sangmook Kim, Se-Young Yun, Seungwoo Choi, Mun Yong Yi |
| 2018 | SIGMETRICS | Reinforcement with Fading Memories. | Kuang Xu, Se-Young Yun |
| 2017 | ALT | Collaborative Clustering: Sample Complexity and Efficient Algorithms. | Jungseul Ok, Se-Young Yun, Alexandre Proutire, Rami Mochaourab |
| 2016 | ICML | Parameter Estimation for Generalized Thurstone Choice Models. | Milan Vojnovic, Se-Young Yun |
| 2016 | MOBIHOC | Distributed coordination maximization over networks: a stochastic approximation approach. | Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi |
| 2015 | SIGMETRICS | Distributed Proportional Fair Load Balancing in Heterogenous Systems. | Se-Young Yun, Alexandre Proutire |
| 2014 | CISS | Distributed load balancing in heterogenous systems. | Se-Young Yun, Alexandre Proutire |
| 2014 | COLT | Community Detection via Random and Adaptive Sampling. | Se-Young Yun, Alexandre Proutire |
| 2014 | INFOCOM | Distributed learning for utility maximization over CSMA-based wireless multihop networks. | Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi |
| 2014 | INFOCOM | Provable per-link delay-optimal CSMA for general wireless network topology. | Dongmyung Lee, Donggyu Yun, Jinwoo Shin, Yung Yi, Se-Young Yun |
| 2013 | ISIT | CSMA using the Bethe approximation for utility maximization. | Se-Young Yun, Jinwoo Shin, Yung Yi |
| 2013 | MOBIHOC | CSMA over time-varying channels: optimality, uniqueness and limited backoff rate. | Se-Young Yun, Jinwoo Shin, Yung Yi |
| 2012 | ISIT | From Glauber dynamics to Metropolis algorithm: Smaller delay in optimal CSMA. | Chul-Ho Lee, Do Young Eun, Se-Young Yun, Yung Yi |
| 2011 | INFOCOM | Open or close: On the sharing of femtocells. | Se-Young Yun, Yung Yi, Dong-Ho Cho, Jeonghoon Mo |