| 2026 | ACL | Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree Search. | Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok |
| 2026 | ACL | PaT: Planning-after-Trial for Efficient Test-Time Code Generation. | Youngsik Yoon, Sungjae Lee, Seockbean Song, Siwei Wang, Wei Chen, Jungseul Ok |
| 2026 | EACL | Exploring Iterative Controllable Summarization with Large Language Models. | Sangwon Ryu, Heejin Do, Daehui Kim, Hwanjo Yu, Dongwoo Kim, Yunsu Kim, Gary Lee, Jungseul Ok |
| 2026 | WACV | Edge-Aware Image Manipulation via Diffusion Models with a Novel Structure-Preservation Loss. | Minsu Gong, Nuri Ryu, Jungseul Ok, Sunghyun Cho |
| 2025 | ACL | DeRAGEC: Denoising Named Entity Candidates with Synthetic Rationale for ASR Error Correction. | Solee Im, Wonjun Lee, Jinmyeong An, Yunsu Kim, Jungseul Ok, Gary Geunbae Lee |
| 2025 | ACL | Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients. | Jabin Koo, Minwoo Jang, Jungseul Ok |
| 2025 | ACL | Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models. | Sungjae Lee, Hyejin Park, Jaechang Kim, Jungseul Ok |
| 2025 | ACL | Comparison-based Active Preference Learning for Multi-dimensional Personalization. | Minhyeon Oh, Seungjoon Lee, Jungseul Ok |
| 2025 | CHI | Toward Affective Empathy via Personalized Analogy Generation: A Case Study on Microaggression. | Hyojin Ju, Jungeun Lee, Seungwon Yang, Jungseul Ok, Inseok Hwang |
| 2025 | EMNLP | CoPL: Collaborative Preference Learning for Personalizing LLMs. | Youngbin Choi, Seunghyuk Cho, Minjong Lee, MoonJeong Park, Yesong Ko, Jungseul Ok, Dongwoo Kim |
| 2025 | EMNLP | Retrieval-Augmented Generation with Estimation of Source Reliability. | Jeongyeon Hwang, Junyoung Park, Hyejin Park, Dongwoo Kim, Sangdon Park, Jungseul Ok |
| 2025 | EMNLP | Self-Training Large Language Models with Confident Reasoning. | Hyosoon Jang, Yunhui Jang, Sungjae Lee, Jungseul Ok, Sungsoo Ahn |
| 2025 | EMNLP | MiLQ: Benchmarking IR Models for Bilingual Web Search with Mixed Language Queries. | Jonghwi Kim, Deokhyung Kang, Seonjeong Hwang, Yunsu Kim, Jungseul Ok, Gary Lee |
| 2025 | EMNLP | Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs. | Sungjae Lee, Hoyoung Kim, Jeongyeon Hwang, Eunhyeok Park, Jungseul Ok |
| 2025 | ICCV | Addressing Text Embedding Leakage in Diffusion-Based Image Editing. | Sunung Mun, Jinhwan Nam, Sunghyun Cho, Jungseul Ok |
| 2025 | ICML | Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization. | Seungbeom Lee, Munsun Jo, Jungseul Ok, Dongwoo Kim |
| 2025 | KDD | Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark. | Suyeon Kim, SeongKu Kang, Dongwoo Kim, Jungseul Ok, Hwanjo Yu |
| 2025 | NAACL | Revisiting Early Detection of Sexual Predators via Turn-level Optimization. | Jinmyeong An, Sangwon Ryu, Heejin Do, Yunsu Kim, Jungseul Ok, Gary Lee |
| 2025 | NAACL | Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation. | Jaechang Kim, Jinmin Goh, Inseok Hwang, Jaewoong Cho, Jungseul Ok |
| 2025 | NAACL | DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition. | Wonjun Lee, Solee Im, Heejin Do, Yunsu Kim, Jungseul Ok, Gary Lee |
| 2024 | ACL | Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning. | Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Lee, Jungseul Ok |
| 2024 | CVPR | CLIPtone: Unsupervised Learning for Text-Based Image Tone Adjustment. | Hyeongmin Lee, Kyoungkook Kang, Jungseul Ok, Sunghyun Cho |
| 2024 | CVPR | MedBN: Robust Test-Time Adaptation against Malicious Test Samples. | Hyejin Park, Jeongyeon Hwang, Sunung Mun, Sangdon Park, Jungseul Ok |
| 2024 | ECCV | MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory. | Juwon Kang, Nayeong Kim, Jungseul Ok, Suha Kwak |
| 2024 | ICML | Active Label Correction for Semantic Segmentation with Foundation Models. | Hoyoung Kim, Sehyun Hwang, Suha Kwak, Jungseul Ok |
| 2024 | ICML | Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization. | Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, Suha Kwak |
| 2024 | ICML | Breadth-First Exploration on Adaptive Grid for Reinforcement Learning. | Youngsik Yoon, Gangbok Lee, Sungsoo Ahn, Jungseul Ok |
| 2024 | Interspeech | Key-Element-Informed sLLM Tuning for Document Summarization. | Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok |
| 2024 | SP | Few-shot Unlearning. | Youngsik Yoon, Jinhwan Nam, Hyojeong Yun, Jaeho Lee, Dongwoo Kim, Jungseul Ok |
| 2024 | SIGdial | An Investigation into Explainable Audio Hate Speech Detection. | Jinmyeong An, Wonjun Lee, Yejin Jeon, Jungseul Ok, Yunsu Kim, Gary Geunbae Lee |
| 2023 | ICASSP | Activity-Informed Industrial Audio Anomaly Detection Via Source Separation. | Jaechang Kim, Yunjoo Lee, Hyun Mi Cho, Dong Woo Kim, Chi Hoon Song, Jungseul Ok |
| 2023 | ICCV | Adaptive Superpixel for Active Learning in Semantic Segmentation. | Hoyoung Kim, Minhyeon Oh, Sehyun Hwang, Suha Kwak, Jungseul Ok |
| 2023 | ICML | Leveraging Proxy of Training Data for Test-Time Adaptation. | Juwon Kang, Nayeong Kim, Donghyeon Kwon, Jungseul Ok, Suha Kwak |
| 2022 | AISTATS | Robust Deep Learning from Crowds with Belief Propagation. | Hoyoung Kim, Seunghyuk Cho, Dongwoo Kim, Jungseul Ok |
| 2022 | AISTATS | Multi-armed Bandit Algorithm against Strategic Replication. | Suho Shin, Seungjoon Lee, Jungseul Ok |
| 2022 | ECCV | Combating Label Distribution Shift for Active Domain Adaptation. | Sehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok, Suha Kwak |
| 2022 | ECCV | Towards Sequence-Level Training for Visual Tracking. | Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho |
| 2022 | ICASSP | Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution. | Jaechang Kim, Yunjoo Lee, Seunghoon Hong, Jungseul Ok |
| 2022 | ISIT | MetaSSD: Meta-Learned Self-Supervised Detection. | Moon Jeong Park, Jungseul Ok, Yo-Seb Jeon, Dongwoo Kim |
| 2022 | SIGMETRICS | Power of Bonus in Pricing for Crowdsourcing. | Suho Shin, Hoyong Choi, Yung Yi, Jungseul Ok |
| 2021 | ISIT | Transfer Learning in Bandits with Latent Continuity. | Hyejin Park, Seiyun Shin, Kwang-Sung Jun, Jungseul Ok |
| 2020 | MOBIHOC | Iterative learning of graph connectivity from partially-observed cascade samples. | Jiin Woo, Jungseul Ok, Yung Yi |
| 2019 | AISTATS | Iterative Bayesian Learning for Crowdsourced Regression. | Jungseul Ok, Sewoong Oh, Yunhun Jang, Jinwoo Shin, Yung Yi |
| 2018 | IJCAI | Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications. | Weiran Huang, Jungseul Ok, Liang Li, Wei Chen |
| 2017 | ALT | Collaborative Clustering: Sample Complexity and Efficient Algorithms. | Jungseul Ok, Se-Young Yun, Alexandre Proutire, Rami Mochaourab |
| 2017 | INFOCOM | Incentivizing strategic users for social diffusion: Quantity or quality? | Jungseul Ok, Jinwoo Shin, Yung Yi |
| 2016 | ICML | Optimality of Belief Propagation for Crowdsourced Classification. | Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi |
| 2015 | INFOCOM | On the progressive spread over strategic diffusion: Asymptotic and computation. | Jungseul Ok, Jinwoo Shin, Yung Yi |
| 2014 | CISS | Influence maximization over strategic diffusion in social networks. | Jungseul Ok, Youngmi Jin, Jaeyoung Choi, Jinwoo Shin, Yung Yi |
| 2014 | INFOCOM | Optimal Rate Sampling in 802.11 systems. | Richard Combes, Alexandre Proutire, Donggyu Yun, Jungseul Ok, Yung Yi |
| 2014 | SIGMETRICS | On maximizing diffusion speed in social networks: impact of random seeding and clustering. | Jungseul Ok, Youngmi Jin, Jinwoo Shin, Yung Yi |
| 2013 | INFOCOM | On the impact of global information on diffusion of innovations over social networks. | Youngmi Jin, Jungseul Ok, Yung Yi, Jinwoo Shin |
| 2013 | INFOCOM | On the impact of global information on diffusion of innovations over social networks. | Youngmi Jin, Jungseul Ok, Yung Yi, Jinwoo Shin |