pub.bib

@article{proutierereinforcement,
  title  = {Reinforcement learning},
  author = {Proutiere, Alexandre and Talebi, Sadegh and Ok, Jungseul}
}

@STRING{NeurIPS={Advances in Neural Information Processing Systems (NeurIPS)}}
@STRING{ICML={International Conference on Machine Learning (ICML)}}
@STRING{IJCAI={International Joint Conference on Artificial Intelligence (IJCAI)}}
@STRING{SIGMETRICS={ACM SIGMETRICS}}
@STRING{ICLR={International Conference on Learning Representations (ICLR)}}
@STRING{ECML-PKDD={The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)}}
@STRING{ISIT={IEEE International Symposium on Information Theory (ISIT)}}
@STRING{CVPR={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}}
@STRING{CVPR-Findings={Findings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR-Findings)}}
@STRING{MobiHoc={Proceedings of ACM MobiHoc}}
@STRING{AISTATS={International Conference on Artificial Intelligence and Statistics (AISTATS)}}
@STRING{CIKM={The ACM Conference on Information and Knowledge Management (CIKM)}}
@STRING{UAI={The Conference on Uncertainty in Artificial Intelligence (UAI)}}
@STRING{INFOCOM={IEEE Conference on Computer Communications}}
@STRING{IISA={International Conference on Information, Intelligence, Systems and Applications}}
@STRING{CISS={Annual Conference on Information Sciences and Systems}}
@STRING{CICLING={International Conference on Intelligent Text Processing and Computational Linguistics}}
@STRING{ICASSP={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}}
@STRING{ECCV={European Conference on Computer Vision (ECCV)}}
@STRING{ICCV={International Conference on Computer Vision (ICCV)}}
@STRING{AAAI={AAAI Conference on Artificial Intelligence (AAAI)}}
@STRING{NAACL={Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)}}
@STRING{SP={IEEE Symposium on Security and Privacy (S&P)}}
@STRING{ML={Machine Learning}}
@STRING{TMLR={Transactions on Machine Learning Research}}
@STRING{ACL={Annual Meeting of the Association for Computational Linguistics (ACL)}}
@STRING{INTERSPEECH={Annual Conference of the International Speech Communication Association (INTERSPEECH)}}
@STRING{CHI={Computer Human Interaction (CHI)}}
@STRING{SIGDIAL={Special Interest Group on Discourse and Dialogue (SIGDIAL)}}
@STRING{KDD={Knowledge Discovery and Data Mining (KDD)}}
@STRING{EMNLP={Empirical Methods in Natural Language Processing (EMNLP)}}
@STRING{EMNLP-Findings={Findings of Empirical Methods in Natural Language Processing (EMNLP-Findings)}}
@STRING{WACV={Winter Conference on Applications of Computer Vision (WACV)}}
@STRING{EACL-Findings={Findings of the European Chapter of the Association for Computational Linguistics (EACL-Findings)}}
@STRING{TMLR={Transactions on Machine Learning Research (TMLR)}}

@inproceedings{yoon2026planning,
  title     = {PaT: Planning-after-Trial for Efficient Test-Time Code Generation},
  author    = {Youngsik Yoon and Sungjae Lee and Seockbean Song and Siwei Wang and Wei Chen and Jungseul Ok},
  booktitle = ACL,
  year      = {2026},
  url       = {}
}

@inproceedings{ryu2026adaptive,
  title     = {Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree Search},
  author    = {Sangwon Ryu and Heejin Do and Yunsu Kim and Gary Lee and Jungseul Ok},
  booktitle = ACL,
  year      = {2026},
  url       = {https://arxiv.org/abs/2509.26435}
}

@inproceedings{won2026posisp,
  title     = {POS-ISP: Pipeline Optimization at the Sequence Level for Task-aware ISP},
  author    = {Jiyun Won and Heemin Yang and Woohyeok Kim and Jungseul Ok and Sunghyun Cho},
  booktitle = CVPR-Findings,
  year      = {2026},
  url       = {}
}

@inproceedings{kim2026chimeralora,
  title     = {ChimeraLoRA: Multi-Head LoRA-Guided Synthetic Datasets},
  author    = {Hoyoung Kim and Minwoo Jang and Jabin Koo and Sangdoo Yun and Jungseul Ok},
  booktitle = CVPR,
  year      = {2026},
  url       = {https://arxiv.org/abs/2602.19708}
}

@inproceedings{park2026viro,
  title     = {VIRO: Robust and Efficient Neuro-Symbolic Reasoning with Verification for Referring Expression Comprehension},
  author    = {Hyejin Park and Junhyuk Kwon and Suha Kwak and Jungseul Ok},
  booktitle = CVPR,
  year      = {2026},
  url       = {https://arxiv.org/abs/2601.12781}
}

@inproceedings{kim2025activeprompt,
  title     = {Active Prompt Learning with Vision-Language Model Priors},
  author    = {Hoyoung Kim and Seokhee Jin and Changhwan Sung and Jaechang Kim and Jungseul Ok},
  booktitle = TMLR,
  year      = {2025},
  url       = {https://openreview.net/forum?id=qBeGCzD3Ij}
}

@inproceedings{gwon2025enhancing,
  title     = {Enhancing Cost Efficiency in Active Learning with Candidate Set Query},
  author    = {Yeho Gwon and Sehyun Hwang and Hoyoung Kim and Jungseul Ok and Suha Kwak},
  booktitle = TMLR,
  year      = {2025},
  url       = {https://openreview.net/forum?id=LhHxl30xQ1}
}

@inproceedings{kim2026fastand,
  title     = {Fast and Energy-Efficient Support for Low-Precision LLMs on PIM},
  author    = {Byeori Kim and Sangjun Lee and Eunhyeok Park},
  booktitle = {Design, Automation and Test in Europe Conference (DATE)},
  year      = {2026},
  url       = {}
}

@inproceedings{yang2026online,
  title     = {Online Conformal Prediction with Adversarial Semi-bandit Feedback via Regret Minimization},
  author    = {Junyoung Yang* and Kyungmin Kim* and Sangdon Park},
  booktitle = ICLR,
  year      = {2026},
  url       = {}
}

@inproceedings{lee2026experience,
  title     = {Experience-based Knowledge Correction for Robust Planning in Minecraft},
  author    = {Seungjoon Lee and Suhwan Kim and Minhyeon Oh and Youngsik Yoon and Jungseul Ok},
  booktitle = ICLR,
  year      = {2026},
  url       = {https://arxiv.org/abs/2505.24157}
}

@inproceedings{song2026combinatorial,
  title     = {Combinatorial Rising Bandits},
  author    = {Seockbean Song and Youngsik Yoon and Siwei Wang and Wei Chen and Jungseul Ok},
  booktitle = ICLR,
  year      = {2026},
  url       = {https://arxiv.org/abs/2412.00798}
}

@inproceedings{ryu2026exploring,
  title     = {Exploring Iterative Controllable Summarization with Large Language Models},
  author    = {Sangwon Ryu and Heejin Do and Daehui Kim and Hwanjo Yu and Dongwoo Kim and Yunsu Kim and Gary Lee and Jungseul Ok},
  booktitle = EACL-Findings,
  year      = {2026},
  url       = {https://arxiv.org/abs/2411.12460}
}

@inproceedings{cho2026plane,
  title     = {Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey},
  author    = {Seunghyuk Cho and Zhenyue Qin and Yang Liu and Youngbin Choi and Seungbeom Lee and Dongwoo Kim},
  booktitle = EACL-Findings,
  year      = {2026},
  url       = {https://arxiv.org/abs/2505.14340}
}

@inproceedings{kook2026stabilizing,
  title     = {Stabilizing Direct Training of Spiking Neural Networks: Membrane Potential Initialization and Threshold-robust Surrogate Gradient},
  author    = {Hyunho Kook and Byeongho Yu and Jeongmin Oh and Eunhyeok Park},
  booktitle = WACV,
  year      = {2026},
  url       = {https://arxiv.org/abs/2511.08708}
}

@inproceedings{lee2026dreamcatcher,
  title     = {DreamCatcher: Efficient Multi-Concept Customization via Representation Finetuning},
  author    = {Jungwon Lee and Changhun Lee and Eunhyeok Park},
  booktitle = WACV,
  year      = {2026}
}

@inproceedings{gong2026novel,
  title     = {A Novel Structure-Preservation Loss for Diffusion-based Image Editing},
  author    = {Minsu Gong and Nuri Ryu and Jungseul Ok and Sunghyun Cho},
  booktitle = WACV,
  year      = {2026}
}

@inproceedings{heo2026posterior,
  title     = {Posterior Label Smoothing for Node Classification},
  author    = {Jaeseung Heo and Moonjeong Park and Dongwoo Kim},
  booktitle = AAAI,
  year      = {2026},
  url       = {https://arxiv.org/abs/2406.00410}
}

@inproceedings{so2025improving,
  title     = {Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking},
  author    = {Junhyuk So and Chiwoong Lee and Shinyoung Lee and Jungseul Ok and Eunhyeok Park},
  booktitle = NeurIPS,
  year      = {2025},
  url       = {https://arxiv.org/abs/2510.12392}
}

@inproceedings{jung2025gralora,
  title     = {GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning},
  author    = {Yeonjoon Jung and Daehyun Ahn and Hyungjun Kim and Taesu Kim and Eunhyeok Park},
  booktitle = NeurIPS,
  year      = {2025},
  note      = {Spotlight},
  url       = {https://arxiv.org/abs/2505.20355}
}

@inproceedings{heo2025influence,
  title     = {Influence Functions for Edge Edits in Non-Convex Graph Neural Networks},
  author    = {Jaeseung Heo and Kyeongheung Yun and Seokwon Yoon and MoonJeong Park and Jungseul Ok and Dongwoo Kim},
  booktitle = NeurIPS,
  year      = {2025},
  url       = {https://arxiv.org/abs/2506.04694}
}

@inproceedings{kim2025highorder,
  title     = {High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction},
  author    = {Seongsu Kim and Nayoung Kim and Dongwoo Kim and Sungsoo Ahn},
  booktitle = NeurIPS,
  year      = {2025},
  url       = {https://arxiv.org/abs/2505.18817}
}

@inproceedings{lee2025AMQ,
  title     = {AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models},
  author    = {Sangjun Lee* and Seung-taek Woo* and Jun-gyu Jin and Changhun Lee and Eunhyeok Park},
  booktitle = EMNLP,
  year      = {2025},
  url       = {https://arxiv.org/abs/2509.12019}
}

@inproceedings{yu2025prunecd,
  title     = {PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality},
  author    = {Byeongho Yu* and Changhun Lee* and Jun-gyu Jin and Eunhyeok Park},
  booktitle = EMNLP,
  year      = {2025},
  url       = {https://arxiv.org/abs/2509.16598}
}

@inproceedings{choi2025copl,
  title     = {{CoPL}: Collaborative Preference Learning for Personalizing Large Language Models},
  author    = {Youngbin Choi and Seunghyuk Cho and Minjong Lee and MoonJeong Park and Yesong Ko and Jungseul Ok and Dongwoo Kim},
  booktitle = EMNLP,
  year      = {2025},
  url       = {https://arxiv.org/abs/2503.01658}
}

@inproceedings{hwang2025retrieval,
  title     = {Retrieval-Augmented Generation with Estimation of Source Reliability},
  author    = {Jeongyeon Hwang and Junyoung Park and Hyejin Park and Dongwoo Kim and Sangdon Park and Jungseul Ok},
  booktitle = EMNLP,
  year      = {2025},
  url       = {https://arxiv.org/abs/2410.22954}
}

@inproceedings{kim2025milq,
  title     = {{MiLQ}: Benchmarking {IR} Models for Bilingual Web Search with Mixed Language Queries},
  author    = {Jonghwi Kim and Deokhyung Kang and Seonjeong Hwang and Yunsu Kim and Jungseul Ok and Gary Lee},
  booktitle = EMNLP,
  year      = {2025},
  url       = {https://arxiv.org/abs/2505.16631}
}

@inproceedings{jang2025self,
  title     = {Self-Training Large Language Models with Confident Reasoning},
  author    = {Hyosoon Jang and Yunhui Jang and Sungjae Lee and Jungseul Ok and Sungsoo Ahn},
  booktitle = EMNLP-Findings,
  year      = {2025},
  url       = {https://arxiv.org/abs/2505.17454}
}

@inproceedings{lee2025efficient,
  title     = {Efficient Latent Semantic Clustering for Scaling Test-Time Computation of {LLMs}},
  author    = {Sungjae Lee and Hoyoung Kim and Jeongyeon Hwang and Eunhyeok Park and Jungseul Ok},
  booktitle = EMNLP-Findings,
  year      = {2025},
  url       = {https://arxiv.org/abs/2506.00344}
}

@inproceedings{cho2025geodano,
  title     = {{GeoDANO}: Geometric {VLM} with Domain Agnostic Vision Encoder},
  author    = {Seunghyuk Cho and Zhenyue Qin and Yang Liu and Youngbin Choi and Seungbeom Lee and Dongwoo Kim},
  booktitle = EMNLP-Findings,
  year      = {2025},
  url       = {https://arxiv.org/abs/2502.11360}
}

@inproceedings{kim2025chronobias,
  title     = {{ChronoBias}: A Benchmark for Evaluating Temporal Group Bias in Retrieval-augmented Language Models},
  author    = {Kyungmin Kim and Youngbin Choi and Hyounghun Kim and Dongwoo Kim and Sangdon Park},
  booktitle = EMNLP-Findings,
  year      = {2025}
}

@inproceedings{so2025grouped,
  title     = {Grouped Speculative Decoding for Autoregressive Image Generation},
  author    = {Junhyuk So and Juncheol Shin and Hyunho Kook and Eunhyeok Park},
  booktitle = ICCV,
  year      = {2025},
  url       = {https://arxiv.org/abs/2508.07747}
}

@inproceedings{moon2025holistic,
  title     = {Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning},
  author    = {Saemi Moon* and Minjong Lee* and Sangdon Park and Dongwoo Kim},
  booktitle = ICCV,
  year      = {2025},
  url       = {https://arxiv.org/abs/2410.05664}
}

@inproceedings{mun2025addressing,
  title     = {Addressing Attribute Leakage in Text Embeddings for Image Editing with Diffusion Models},
  author    = {Sunung Mun* and Jinhwan Nam* and Sunghyun Cho and Jungseul Ok},
  booktitle = ICCV,
  year      = {2025},
  url       = {https://arxiv.org/abs/2412.04715}
}

@inproceedings{kim2025delving,
  title     = {Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark},
  author    = {Suyeon Kim and Seongku Kang and Dongwoo Kim and Jungseul Ok and Hwanjo Yu},
  booktitle = KDD,
  year      = {2025},
  url       = {https://arxiv.org/abs/2506.12468}
}

@inproceedings{lm2025denoising,
  title     = {DeRAGEC: Denoising Named Entity Candidtes with Synthetic Rationale for ASR Error Correction},
  author    = {Solee Im and Wonjun Lee and Jinmyeong An and Yunsu Kim and Jungseul Ok and Gary Lee},
  booktitle = ACL,
  year      = {2025},
  url       = {https://arxiv.org/abs/2506.07510}
}

@inproceedings{koo2025towards,
  title     = {Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients},
  author    = {Jabin Koo* and Minwoo Jang* and Jungseul Ok},
  booktitle = ACL,
  year      = {2025},
  url       = {https://arxiv.org/abs/2410.22815}
}

@inproceedings{lee2025semantic,
  title     = {Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models},
  author    = {Sungjae Lee* and Hyejin Park* and Jaechang Kim and Jungseul Ok},
  booktitle = ACL,
  year      = {2025},
  url       = {https://arxiv.org/abs/2501.05752}
}

@inproceedings{oh2025comparison,
  title     = {Comparison-based Active Preference Learning for Multi-dimensional Personalization},
  author    = {Minhyeon Oh and Seungjoon Lee and Jungseul Ok},
  booktitle = ACL,
  year      = {2025},
  url       = {https://arxiv.org/abs/2411.00524}
}

@inproceedings{lee2025enhancing,
  title     = {Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization},
  author    = {Seungbeom Lee* and Munsun Jo* and Jungseul Ok and Dongwoo Kim},
  booktitle = ICML,
  year      = {2025}
}

@inproceedings{ju2025towards,
  title     = {Toward Affective Empathy via Personalized Analogy Generation: A Case Study on Microaggression},
  author    = {Hyojin Ju and Jungeun Lee and Seungwon Yang and Jungseul Ok and Inseok Hwang},
  booktitle = CHI,
  year      = {2025}
}

@inproceedings{an2024an,
  title     = {An Investigation Into Explainable Audio Hate Speech Detection},
  author    = {Jinmyeong An and Wonjun Lee and Yejin Jeon and Jungseul Ok and Yunsu Kim and Gary Geunbae Lee},
  booktitle = SIGDIAL,
  year      = {2024}
}

@inproceedings{li2025towards,
  title     = {Towards Bridging Generalization and Expressivity of Graph Neural Networks},
  author    = {Shouheng Li and Floris Geerts and Dongwoo Kim and Qing Wang},
  booktitle = ICLR,
  year      = {2025}
}

@inproceedings{kim2025bridging,
  title     = {Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation},
  author    = {Jaechang Kim and Jinmin Goh and Inseok Hwang and Jaewoong Cho and Jungseul Ok},
  booktitle = NAACL,
  year      = {2025},
  url       = {https://arxiv.org/abs/2410.20811}
}

@inproceedings{an2025revisiting,
  title     = {Revisiting Early Detection of Sexual Predators via Turn-level Optimization},
  author    = {JinMyeong An and Sangwon Ryu and Heejin Do and Yunsu Kim and Jungseul Ok and Gary Lee},
  booktitle = NAACL,
  year      = {2025},
  url       = {https://arxiv.org/abs/2503.06627}
}

@inproceedings{lee2025dynamic,
  title     = {DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition},
  author    = {Wonjun Lee and Solee Im and Heejin Do and Yunsu Kim and Jungseul Ok and Gary Lee},
  booktitle = NAACL,
  url       = {https://arxiv.org/abs/2501.19010},
  year      = {2025}
}

@inproceedings{lee2024selective,
  title     = {Selective Generation for Controllable Language Models},
  author    = {Minjae Lee* and Kyungmin Kim* and Taesoo Kim and Sangdon Park},
  booktitle = NeurIPS,
  year      = {2024}
}

@inproceedings{jang2024pessimistic,
  title     = {Pessimistic Backward Policy for GFlowNets},
  author    = {Hyosoon Jang and Yunhui Jang and Minsu Kim and Jinkyu Park and Sungsoo Ahn},
  booktitle = NeurIPS,
  year      = {2024}
}

@inproceedings{Kang2024robust,
  title     = {MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory},
  author    = {Juwon Kang and Nayeong Kim and Jungseul Ok and Suha Kwak},
  booktitle = ECCV,
  year      = {2024}
}

@inproceedings{ryu2024key,
  title     = {Key-Element-Informed sLLM Tuning for Document Summarization},
  author    = {Sangwon Ryu and Heejin Do and Yunsu Kim and Gary Geunbae Lee and Jungseul Ok},
  booktitle = INTERSPEECH,
  year      = {2024}
}

@inproceedings{ryu2024multi,
  title     = {Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning},
  author    = {Sangwon Ryu* and Heejin Do* and Yunsu Kim and Gary Lee and Jungseul Ok},
  booktitle = ACL,
  year      = {2024}
}

@inproceedings{park2024mitigating,
  title     = {Mitigating Over-smoothing through Reverse Process GNN for Heterophilic Graphs},
  author    = {MoonJeong Park and Jaeseung Heo and Dongwoo Kim},
  booktitle = ICML,
  year      = {2024}
}

@inproceedings{kim2024hybrid,
  title     = {Hybrid Neural Representation for Spherical Data},
  author    = {Hyomin Kim and Yunhui Jang and Jaeho Lee and Sungsoo Ahn},
  booktitle = ICML,
  year      = {2024}
}

@inproceedings{kim2024gaussian,
  title     = {Gaussian Plane-Wave Neural Operator for Electron Density Estimation},
  author    = {Seongsu Kim and Sungsoo Ahn},
  booktitle = ICML,
  year      = {2024}
}

@inproceedings{kim2024enhancing,
  title     = {Enhancing Sample Efficiency in Black-box Combinatorial Optimization via Symmetric Replay Training},
  author    = {Hyeonah Kim and Minsu Kim and Sungsoo Ahn and Jinkyoo Park},
  booktitle = ICML,
  year      = {2024}
}

@inproceedings{bu2024tackling,
  title     = {Tackling Complex Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More},
  author    = {Fanchen Bu and Hyeonsoo Jo and Soo Yong Lee and Sungsoo Ahn and Kijung Shin},
  booktitle = ICML,
  year      = {2024}
}

@inproceedings{kim2024active,
  title     = {Active Label Correction for Semantic Segmentation with Foundation Models},
  author    = {Hoyoung Kim and Sehyun Hwang and Suha Kwak and Jungseul Ok},
  booktitle = ICML,
  year      = {2024},
  url       = {https://arxiv.org/abs/2403.10820}
}

@inproceedings{yoon2024beag,
  title     = {Breadth-First Exploration in Adaptive Grid-based Reinforcement Learning},
  author    = {Youngsik Yoon and Gangbok Lee and Sungsoo Ahn and Jungseul Ok},
  booktitle = ICML,
  year      = {2024}
}

@inproceedings{kim2024improving,
  title     = {Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization},
  author    = {Nayeong Kim and Juwon Kang and Sungsoo Ahn and Jungseul Ok and Suha Kwak},
  booktitle = ICML,
  year      = {2024}
}

@inproceedings{ariu2024optimal,
  title     = {Optimal Clustering from Noisy Binary Feedback},
  author    = {Kaito Ariu and Jungseul Ok and Alexandre Proutiere and Seyoung Yun},
  booktitle = ML,
  year      = {2024},
  url       = {https://link.springer.com/article/10.1007/s10994-024-06532-z}
}

@article{kim2024fragment,
  title   = {Fragment-based Multi-view Molecular Contrastive Learning},
  author  = {Seojin Kim and Jaehyun Nam and Junsu Kim and Hankook Lee and Sungsoo Ahn and Jinwoo Shin},
  journal = TMLR,
  issn    = {2835-8856},
  year    = {2024},
  url     = {https://openreview.net/forum?id=oyISaaeHwD},
  note    = {}
}

@inproceedings{yoon2024few,
  title     = {Few-shot Unlearning},
  author    = {Youngsik Yoon* and Jinhwan Nam* and Hyojeong Yun and Jaeho Lee and Dongwoo Kim and Jungseul Ok},
  booktitle = SP,
  year      = {2024}
}

@inproceedings{heo2024epic,
  title     = {EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost},
  author    = {Jaeseung Heo* and Seungbeom Lee* and Sungsoo Ahn and Dongwoo Kim},
  booktitle = IJCAI,
  year      = {2024},
  url       = {https://arxiv.org/abs/2306.01310}
}

@article{zhang2024pos,
  author   = {Zhang, Yiqun and Qin, Zhenyue and Anwar, Saeed and Kim, Dongwoo and Liu, Yang and Ji, Pan and Gedeon, Tom},
  journal  = {IEEE Transactions on Neural Networks and Learning Systems (TNNLS)},
  title    = {Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions},
  year     = {2024},
  volume   = {},
  number   = {},
  pages    = {1-8},
  keywords = {Australia;Aggregates;Task analysis;Message passing;Graph neural networks;Feature extraction;Scalability;Graph neural networks (GNNs);position-aware},
  doi      = {10.1109/TNNLS.2024.3374464}
}

@inproceedings{li2024traq,
  title     = {TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction},
  author    = {Shuo Li and Sangdon Park and Insup Lee and Osbert Bastani},
  booktitle = NAACL,
  year      = {2024}
}

@inproceedings{park2024medbn,
  title     = {MedBN: Robust Test-Time Adaptation against Malicious Test Samples},
  author    = {Hyejin Park* and Jeongyeon Hwang* and Sunung Mun and Sangdon Park and Jungseul Ok},
  booktitle = CVPR,
  year      = {2024},
  url       = {https://arxiv.org/abs/2403.19326}
}

@inproceedings{lee2024cliptone,
  title     = {CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment},
  author    = {Hyeongmin Lee and Kyoungkook Kang and Jungseul Ok and Sunghyun Cho},
  booktitle = CVPR,
  year      = {2024}
}

@inproceedings{si2024pac,
  title     = {PAC Prediction Sets Under Label Shift},
  author    = {Wenwen Si and Sangdon Park and Insup Lee and Edgar Dobriban and Osbert Bastani},
  booktitle = ICLR,
  year      = {2024},
  url       = {https://arxiv.org/abs/2310.12964}
}

@inproceedings{jang2024learning,
  title     = {Learning Energy Decompositions for Partial Inference in GFlowNets},
  author    = {Hyosoon Jang and Minsoo Kim and Sungsoo Ahn},
  booktitle = ICLR,
  year      = {2024},
  url       = {https://arxiv.org/abs/2310.03301}
}

@inproceedings{jang2024simple,
  title     = {A Simple and Scalable Representation for Graph Generation},
  author    = {Yunhui Jang and Seul Lee and Sungsoo Ahn},
  booktitle = ICLR,
  year      = {2024},
  url       = {https://arxiv.org/abs/2312.02230}
}

@inproceedings{jang2024hierarchical,
  title     = {Graph Generation with K2 Trees},
  author    = {Yunhui Jang and Dongwoo Kim and Sungsoo Ahn},
  booktitle = ICLR,
  year      = {2024},
  url       = {https://arxiv.org/abs/2305.19125}
}

@inproceedings{kim2024local,
  title     = {Local Search GFlowNets},
  author    = {Minsu Kim and Taeyoung Yun and Emmanuel Bengio and Dinghuai Zhang and Yoshua Bengio and Sungsoo Ahn and Jinkyoo Park},
  booktitle = ICLR,
  year      = {2024},
  url       = {https://arxiv.org/abs/2303.05699}
}

@inproceedings{moon2024feature,
  title     = {Feature Unlearning for Pre-trained GANs and VAEs},
  author    = {Saemi Moon and Seunghyuk Cho and Dongwoo Kim},
  booktitle = AAAI,
  year      = {2024},
  url       = {https://arxiv.org/abs/2303.05699}
}

@inproceedings{park2023non,
  title     = {Non-backtracking Graph Neural Networks},
  author    = {Seonghyun Park and Narae Ryu and Gahee Kim and Dongyeop Woo and Se-Young Yun and Sungsoo Ahn},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS), Workshop on New Frontiers in Graph Learning},
  year      = {2023},
  url       = {https://arxiv.org/abs/2310.07430}
}
 
@inproceedings{jang2023ksimple,
  title     = {A Simple and Scalable Representation for Graph Generation},
  author    = {Yunhui Jang and Seul Lee and Sungsoo Ahn},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS), Workshop on New Frontiers in Graph Learning},
  year      = {2023},
  url       = {https://arxiv.org/abs/2312.02230}
}

@inproceedings{cho2023hvae,
  title     = {Hyperbolic VAE via Latent Gaussian Distributions},
  author    = {Seunghyuk Cho and Juyong Lee and Dongwoo Kim},
  booktitle = NeurIPS,
  year      = {2023},
  url       = {https://arxiv.org/abs/2209.15217}
}

@inproceedings{jang2023diffusion2,
  title     = {Diffusion Probabilistic Models for Structured Node Classification},
  author    = {Hyosoon Jang and Seonghyun Park and Sangwoo Mo and Sungsoo Ahn},
  booktitle = NeurIPS,
  year      = {2023},
  url       = {https://arxiv.org/abs/2302.10506}
}

@inproceedings{kim2023bootstrapped2,
  title     = {Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences},
  author    = {Minsu Kim and Federico Berto and Sungsoo Ahn and Jinkyoo Park},
  booktitle = NeurIPS,
  year      = {2023},
  url       = {https://arxiv.org/abs/2306.03111}
}

@inproceedings{cho2023multires,
  title     = {Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion},
  author    = {Hyuna Cho and Minjae Jeong and Sooyeon Jeon and Sungsoo Ahn and Wonhwa Kim},
  booktitle = NeurIPS,
  year      = {2023}
}

@inproceedings{hwang2023active,
  title     = {Active Learning for Semantic Segmentation with Multi-class Label Query},
  author    = {Sehyun Hwang and Sohyun Lee and Hoyoung Kim and Minhyeon Oh and Jungseul Ok and Suha Kwak},
  booktitle = NeurIPS,
  year      = {2023},
  url       = {https://arxiv.org/abs/2309.09319}
}

@inproceedings{kim2023test,
  title     = {Test Time Normalization for Popularity Bias Mitigation},
  author    = {Dain Kim* and Jinhyeok Park* and Dongwoo Kim},
  booktitle = CIKM,
  year      = {2023},
  url       = {https://arxiv.org/abs/2308.11288}
}


@inproceedings{kim2023adaptive,
  title     = {Adaptive Superpixel for Active Learning in Semantic Segmentation},
  author    = {Hoyoung Kim and Minhyeon Oh and Sehyun Hwang and Suha Kwak and Jungseul Ok},
  booktitle = ICCV,
  year      = {2023},
  url       = {https://arxiv.org/abs/2303.16817}
}

@inproceedings{lee2023eval,
  title     = {Robust Evaluation of Diffusion-Based Adversarial Purification},
  author    = {Minjong Lee and Dongwoo Kim},
  booktitle = ICCV,
  year      = {2023},
  url       = {https://arxiv.org/abs/2303.09051}
}

@inproceedings{kim2023symmetric,
  title     = {Symmetric Exploration in Combinatorial Optimization is Free!},
  author    = {Hyeonah Kim and Minsu Kim and Sungsoo Ahn and Jinkyoo Park},
  booktitle = {International Conference on Machine Learning, Workshop on Sampling and Optimization in Discrete Space},
  year      = {2023}
}

@inproceedings{kim2023removing,
  title     = {Removing Multiple Biases through the Lens of Multi-task Learning},
  author    = {Nayeong Kim and Juwon Kang and Sungsoo Ahn and Jungseul Ok and Suha Kwak},
  booktitle = {International Conference on Machine Learning, Workshop on Spurious Correlations, Invariance and Stability},
  year      = {2023}
}

@inproceedings{heo2023epic,
  title     = {EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost},
  author    = {Jaeseung Heo and Seungbeom Lee and Sungsoo Ahn and Dongwoo Kim},
  booktitle = {International Conference on Machine Learning, Workshop on Data-centric Machine Learning Research},
  year      = {2023}
}

@inproceedings{kim2023bootstrapped,
  title     = {Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences},
  author    = {Minsu Kim and Federico Berto and Sungsoo Ahn and Jinkyoo Park},
  booktitle = {International Conference on Machine Learning, Workshop on Structured Probabilistic Inference and Generative Modeling},
  year      = {2023}
}

@inproceedings{jang2023hierarchical,
  title     = {Hierarchical Graph Generation with K2 Trees},
  author    = {Yunhui Jang and Dongwoo Kim and Sungsoo Ahn},
  booktitle = {International Conference on Machine Learning, Workshop on Structured Probabilistic Inference and Generative Modeling},
  year      = {2023}
}

@inproceedings{jang2023diffusion,
  title     = {Diffusion Probabilistic Models for Structured Node Classification},
  author    = {Hyosoon Jang and Seonghyun Park and Sangwoo Mo and Sungsoo Ahn},
  booktitle = {International Conference on Machine Learning, Workshop on Structured Probabilistic Inference and Generative Modeling},
  year      = {2023}
}

@inproceedings{shin2023closer,
  title     = {A Closer Look at the Intervention Procedure of Concept Bottleneck Models},
  author    = {Sungbin Shin and Yohan Jo and Sungsoo Ahn and Namhoon Lee},
  booktitle = ICML,
  year      = {2023}
}

@inproceedings{li2023local,
  title     = {Local Vertex Colouring Graph Neural Network},
  author    = {Shouheng Li and Dongwoo Kim and Qing Wang},
  booktitle = ICML,
  year      = {2023}
}

@inproceedings{kang2023leveraging,
  title     = {Leveraging Proxy of Training Data for Test-Time Adaptation},
  author    = {Juwon Kang and Nayeong Kim and Donghyeon Kwon and Jungseul Ok and Suha Kwak},
  booktitle = ICML,
  year      = {2023}
}

@misc{kim2023contrastive,
  title     = {Contrastive Learning of Molecular Representation with Fragmented Views},
  author    = {Seojin Kim and Jaehyun Nam and Junsu Kim and Hankook Lee and Sungsoo Ahn and Jinwoo Shin},
  booktitle = {International Conference on Learning Representations, Machine Learning for Materials Workshop},
  year      = {2023}
}

@inproceedings{kim2023activity,
  title     = {Activity-informed Industrial Audio Anomaly Detection via Source Separation},
  author    = {Jaechang Kim* and Yunjoo Lee* and Hyun Mi Cho and Dong Woo Kim and Chi Hoon Song and Jungseul Ok},
  booktitle = ICASSP,
  year      = {2023}
}

@inproceedings{kim2023imitating,
  title     = {Imitating Graph-Based Planning with Goal-Conditioned Policies},
  author    = {Junsu Kim and Younggyo Seo and Sungsoo Ahn and Kyunghwan Son and Jinwoo Shin},
  booktitle = ICLR,
  year      = {2023},
  url       = {https://openreview.net/forum?id=6lUEy1J5R7p}
}

@inproceedings{park2023SpReME,
  title     = {SpReME: Sparse Regression for Multi-Environment Dynamic Systems},
  author    = {Moonjeong Park* and Youngbin Choi* and Dongwoo Kim},
  booktitle = {AAAI Conference on Artificial Intelligence, Workshop on When Machine Learning meets Dynamical Systems: Theory and Applications (MLmDS)},
  year      = {2023},
  url       = {}
}

@inproceedings{li2023restructuring,
  title     = {Restructuring Graph for Higher Homophily via Learnable Spectral Clustering},
  author    = {Shouheng Li and Dongwoo Kim and Qing Wang},
  booktitle = AAAI,
  year      = {2023},
  url       = {https://arxiv.org/abs/2206.02386}
}

@inproceedings{moon2023anonymize,
  title     = {Anonymization for Skeleton Action Recognition},
  author    = {Saemi Moon* and Myeonghyeon Kim* and Zhenyue Qin and Yang Liu and Dongwoo Kim},
  booktitle = AAAI,
  year      = {2023},
  url       = {https://arxiv.org/abs/2111.15129}
}

@article{jang2023machine,
  title     = {Machine learning algorithms using systemic inflammatory markers for predicting the oncological outcomes of colorectal cancer after surgery},
  author    = {Songsoo Yang* and Hyosoon Jang* and Inkyu Park* and Sunhye Lee and Gaeul Oh and Park Chihyun and Jeonghyun Kang},
  journal   = {Annals of Surgical Oncology},
  volume    = {30},
  number    = {13},
  year      = {2023},
  publisher = {Springer}
}

@inproceedings{moon2022anonymize,
  title     = {Anonymization for Skeleton Action Recognition},
  author    = {Saemi Moon* and Myeonghyeon Kim* and Zhenyue Qin and Yang Liu and Dongwoo Kim},
  booktitle = {Advances in Neural Information Processing Systems, Workshop on Trustworthy and Socially Responsible Machine Learning (TSRML)},
  pages     = {},
  year      = {2022},
  url       = {https://arxiv.org/abs/2111.15129}
}


@inproceedings{kim2022saca,
  title     = {Substructure-Atom Cross Attention for Molecular Representation Learning},
  author    = {Jiye Kim* and Seungbeom Lee* and Dongwoo Kim and Sungsoo Ahn and Jaesik Park},
  booktitle = {Advances in Neural Information Processing Systems, Workshop on AI for Science},
  pages     = {},
  year      = {2022},
  url       = {https://arxiv.org/abs/2210.08243}
}

@inproceedings{sin2022cbm,
  title     = {A Closer Look at the Intervention Procedure of Concept Bottleneck Models},
  author    = {Sungbin Shin and Yohan Jo and Sungsoo Ahn and Namhoon Lee},
  booktitle = {Advances in Neural Information Processing Systems, Workshop on Trustworthy and Socially Responsible Machine Learning (TSRML)},
  pages     = {},
  year      = {2022}
}

@article{Qin2022fusing,
  author  = {Qin, Zhenyue and Liu, Yang and Ji, Pan and Kim, Dongwoo and Wang, Lei and McKay, R. I. and Anwar, Saeed and Gedeon, Tom},
  journal = {IEEE Transactions on Neural Networks and Learning Systems (TNNLS)},
  title   = {Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition},
  year    = {2022},
  doi     = {10.1109/TNNLS.2022.3201518},
  url     = {https://ieeexplore.ieee.org/document/9895208}
}

@inproceedings{ko2022esda,
  title     = {Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning},
  author    = {Byungchan Ko and Jungseul Ok},
  booktitle = NeurIPS,
  pages     = {},
  year      = {2022}
}

@inproceedings{cho2022rown,
  title     = {A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning},
  author    = {Seunghyuk Cho and Juyong Lee and Jaesik Park and Dongwoo Kim},
  booktitle = NeurIPS,
  pages     = {},
  year      = {2022},
  url       = {https://arxiv.org/abs/2205.13371}
}

@inproceedings{kim2022learning2,
  title     = {Learning Debiased Classifier with Biased Committee},
  author    = {Nayeong Kim and Sehyun Hwang and Sungsoo Ahn and Jaesik Park and Suha Kwak},
  booktitle = NeurIPS,
  pages     = {},
  year      = {2022}
}

@inproceedings{kim2022towards,
  title     = {Towards Sequence-Level Training for Visual Tracking},
  author    = {Minji Kim and Seungkwan Lee and Jungseul Ok and Bohyung Han and Minsu Cho},
  booktitle = ECCV,
  year      = {2022}
}

@inproceedings{hwang2022combating,
  title     = {Combating Label Distribution Shift for Active Domain Adaptation},
  author    = {Sehyun Hwang and Sohyun Lee and Sungyeon Kim and Jungseul Ok and Suha Kwak},
  booktitle = ECCV,
  year      = {2022}
}

@inproceedings{qin2022strengthen,
  title     = {Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns},
  author    = {Zhenyue Qin and Pan Ji and Dongwoo Kim and Yang Liu and Saeed Anwar and Tom Gedeon},
  booktitle = {European Conference on Computer Vision, Workshop on Real-World Surveillance (RWS)},
  pages     = {},
  year      = {2022},
  url       = {https://arxiv.org/abs/2205.14405}
}

@inproceedings{kim2022learning,
  title     = {Learning Debiased Classifier with Biased Committee},
  author    = {Nayeong Kim and Sehyun Hwang and Sungsoo Ahn and Jaesik Park and Suha Kwak},
  booktitle = {International Conference on Machine Learning, Workshop on Spurious Correlations, Invariance, and Stability},
  pages     = {},
  year      = {2022}
}

@inproceedings{son2022disentangling,
  title     = {Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning},
  author    = {Kyunghwan Son and Junsu Kim and Sungsoo Ahn and Roben Delos Reyes and Yung Yi and Jinwoo Shin},
  booktitle = ICML,
  year      = {2022}
}

@inproceedings{mjeong2022detection,
  author    = {Moon Jeong Park and Jungseul Ok and Yo-Seb Jeon and Dongwoo Kim},
  title     = {MetaSSD: Meta-Learned Self-Supervised Detection},
  booktitle = ISIT,
  year      = {2022},
  url       = {http://arxiv.org/abs/2205.15271}
}

@inproceedings{jae2022audio-sp,
  title     = {Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution},
  author    = {Jaechang Kim* and Yunjoo Lee* and Seunghoon Hong and Jungseul Ok},
  booktitle = ICASSP,
  year      = {2022},
  url       = {https://arxiv.org/abs/2111.00195}
}

@inproceedings{ahn2022spanning,
  title     = {Spanning Tree-based Graph Generation for Molecules},
  author    = {Sungsoo Ahn and Binghong Chen and Tianzhe Wang and Le Song},
  booktitle = ICLR,
  year      = {2022},
  url       = {https://openreview.net/forum?id=H6ATjJ0TKdf}
}

@inproceedings{kim2022what,
  title     = {What Makes Better Augmentation Strategies? Augment Difficult but Not too Different},
  author    = {Jaehyung Kim and Dongyeop Kang and Sungsoo Ahn and Jinwoo Shin},
  booktitle = ICLR,
  year      = {2022},
  url       = {https://openreview.net/forum?id=Ucx3DQbC9GH}
}

@inproceedings{ho2022crowds,
  title     = {Robust Deep Learning from Crowds with Belief Propagation},
  author    = {Hoyoung Kim* and Seunghyuk Cho* and Dongwoo Kim and Jungseul Ok},
  booktitle = AISTATS,
  year      = {2022},
  url       = {https://arxiv.org/abs/2111.00734}
}

@inproceedings{suho2022band,
  title     = {Multi-armed Bandit Algorithm against Strategic Replication},
  author    = {Suho Shin and Seungjoon Lee and Jungseul Ok},
  booktitle = AISTATS,
  year      = {2022},
  url       = {https://arxiv.org/abs/2110.12160}
}

@inproceedings{ahn2017gauging,
  title     = {Gauging variational inference},
  author    = {Ahn, Sungsoo and Chertkov, Michael and Shin, Jinwoo},
  booktitle = NeurIPS,
  pages     = {2881--2890},
  year      = {2017}
}

@article{ahn2017maximum,
  title     = {Maximum weight matching using odd-sized cycles: Max-product belief propagation and half-integrality},
  author    = {Ahn, Sungsoo and Chertkov, Michael and Gelfand, Andrew E and Park, Sejun and Shin, Jinwoo},
  journal   = {IEEE Transactions on Information Theory},
  volume    = {64},
  number    = {3},
  pages     = {1471--1480},
  year      = {2017},
  publisher = {IEEE}
}

@inproceedings{ahn2018bucket,
  title     = {Bucket renormalization for approximate inference},
  author    = {Ahn, Sungsoo and Chertkov, Michael and Weller, Adrian and Shin, Jinwoo},
  booktitle = ICML,
  pages     = {109--118},
  year      = {2018}
}

@inproceedings{ahn2016synthesis,
  title     = {Synthesis of {MCMC} and belief propagation},
  author    = {Ahn, Sungsoo and Chertkov, Michael and Shin, Jinwoo},
  booktitle = NeurIPS,
  pages     = {1453--1461},
  year      = {2016}
}

@inproceedings{ahn2019variational,
  title     = {Variational information distillation for knowledge transfer},
  author    = {Ahn, Sungsoo and Hu, Shell Xu and Damianou, Andreas and Lawrence, Neil D and Dai, Zhenwen},
  booktitle = CVPR,
  pages     = {9163--9171},
  year      = {2019}
}

@inproceedings{ahn2015minimum,
  title     = {Minimum weight perfect matching via blossom belief propagation},
  author    = {Ahn, Sungsoo and Park, Sejun and Chertkov, Michael and Shin, Jinwoo},
  booktitle = NeurIPS,
  pages     = {1288--1296},
  year      = {2015}
}

@inproceedings{ahn2018gauged,
  title     = {Gauged Mini-Bucket Elimination for Approximate Inference},
  author    = {Ahn, Sungsoo and Chertkov, Michael and Shin, Jinwoo and Weller, Adrian},
  booktitle = AISTATS,
  pages     = {10--19},
  year      = {2018}
}


@inproceedings{ahn2020learning,
  title     = {Learning What to Defer for Maximum Independent Sets},
  author    = {Ahn, Sungsoo and Seo, Younggyo and Shin, Jinwoo},
  booktitle = ICML,
  pages     = {134--144},
  year      = {2020}
}

@article{son2020qopt,
  title   = {{QOPT}: Optimistic Value Function Decentralization for Cooperative Multi-Agent Reinforcement Learning},
  author  = {Son, Kyunghwan and Ahn, Sungsoo and Reyes, Roben Delos and Shin, Jinwoo and Yi, Yung},
  journal = {arXiv preprint arXiv:2006.12010},
  year    = {2020}
}

@article{nam2020learning,
  title   = {Learning from Failure: De-biasing Classifier from Biased Classifier},
  author  = {Nam, Junhyun and Cha, Hyuntak and Ahn, Sungsoo and Lee, Jaeho and Shin, Jinwoo},
  journal = NeurIPS,
  volume  = {33},
  year    = {2020}
}

@article{ahn2020guiding,
  title   = {Guiding Deep Molecular Optimization with Genetic Exploration},
  author  = {Ahn, Sungsoo and Kim, Junsu and Lee, Hankook and Shin, Jinwoo},
  journal = NeurIPS,
  volume  = {33},
  year    = {2020}
}

@inproceedings{kim2021self,
  title     = {Self-Improved Retrosynthetic Planning},
  author    = {Kim, Junsu and Ahn, Sungsoo and Lee, Hankook and Shin, Jinwoo},
  booktitle = ICML,
  pages     = {5486--5495},
  year      = {2021}
}

@inproceedings{lee2021retcl,
  title     = {Ret{CL}: A Selection-based Approach for Retrosynthesis via Contrastive Learning},
  author    = {Lee, Hankook and Ahn, Sungsoo and Seo, Seung-Woo and Song, You Young and Hwang, Sung-Ju and Yang, Eunho and Shin, Jinwoo},
  booktitle = IJCAI,
  pages     = {2673--2679},
  year      = {2021}
}

@article{ahn2019gauging,
  title     = {Gauging variational inference},
  author    = {Ahn, Sungsoo and Chertkov, Michael and Shin, Jinwoo},
  journal   = {Journal of Statistical Mechanics: Theory and Experiment},
  volume    = {2019},
  number    = {12},
  pages     = {124015},
  year      = {2019},
  publisher = {Institute of Physics and IOP Publishing Limited}
}

@article{ahn2019bucket,
  title     = {Bucket renormalization for approximate inference},
  author    = {Ahn, Sungsoo and Chertkov, Michael and Shin, Jinwoo},
  journal   = {Journal of Statistical Mechanics: Theory and Experiment},
  volume    = {2019},
  number    = {12},
  pages     = {124022},
  year      = {2019},
  publisher = {Institute of Physics and IOP Publishing Limited}
}

@inproceedings{ahn2018variational,
  title     = {Variational mutual information distillation for transfer learning},
  author    = {Ahn, Sungsoo and Hu, Shell Xu and Damianou, Andreas and Lawrence, Neil D and Dai, Zhenwen},
  booktitle = {Neural Information Processing Systems, Workshop on Continual Learning},
  pages     = {},
  year      = {2018}
}

@inproceedings{lee2020retcl,
  title     = {Ret{CL}: A Selection-based Approach for Retrosynthesis via Contrastive Learning},
  author    = {Lee, Hankook and Ahn, Sungsoo and Seo, Seung-Woo and Song, You Young and Hwang, Sung-Ju and Yang, Eunho and Shin, Jinwoo},
  booktitle = {Neural Information Processing Systems, Workshop on Machine Learning for Molecules},
  pages     = {},
  year      = {2020}
}

@article{yu2021visual,
  title   = {Visual Abstract Reasoning via Logic-guided Generation},
  author  = {Yu, Sihyun and Mo, Sangwoo and Ahn, Sungsoo and Shin, Jinwoo and Yi, Yung},
  journal = {ICML Workshop on Self-Supervised Learning for Reasoning and Perception},
  year    = {2021}
}


@inproceedings{yu2021roma,
  title     = {Ro{MA}: Robust Model Adaptation for Offline Model-based Optimization},
  author    = {Yu, Sihyun and Ahn, Sungsoo and Song, Le and Shin, Jinwoo},
  booktitle = NeurIPS,
  year      = {2021},
  url       = {https://openreview.net/forum?id=VH0TRmnqUc}
}

@inproceedings{lee2021layeradaptive,
  title     = {Layer-adaptive Sparsity for the Magnitude-based Pruning},
  author    = {Jaeho Lee and Sejun Park and Sangwoo Mo and Sungsoo Ahn and Jinwoo Shin},
  booktitle = ICLR,
  year      = {2021},
  url       = {https://openreview.net/forum?id=H6ATjJ0TKdf}
}

@inproceedings{ok2019aistats,
  author    = {Jungseul Ok and Sewoong Oh and Yunhun Jang and Jinwoo Shin and Yung Yi},
  title     = {Iterative Bayesian Learning for Crowdsourced Regression},
  booktitle = AISTATS,
  year      = {2019},
  url       = {https://arxiv.org/abs/1702.08840}
}

@inproceedings{shin2022acm,
  author    = {Suho Shin and Hoyong Choi and Yung Yi and Jungseul Ok},
  title     = {Power of Bonus in Pricing for Crowdsourcing},
  booktitle = SIGMETRICS,
  year      = {2022},
  url       = {https://arxiv.org/abs/1804.03178}
}

@inproceedings{jj2021nips,
  title   = {Gradient Inversion with Generative Image Prior},
  author  = {Jinwoo Jeon* and Jaechang Kim* and Kangwook Lee and Sewoong Oh and Jungseul Ok},
  journal = NeurIPS,
  year    = {2021},
  url     = {https://arxiv.org/abs/2110.14962}
}

@inproceedings{flicml2021,
  title   = {Gradient Inversion with Generative Image Prior},
  author  = {Jinwoo Jeon* and Jaechang Kim* and Kangwook Lee and Sewoong Oh and Jungseul Ok},
  journal = {International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2021 (FL-ICML'21)},
  year    = {2021}
}


@article{icmlxai2021b,
  title   = {Informative Class Activation Maps},
  author  = {Qin, Zhenyue and Kim, Dongwoo and Gedeon Tom},
  journal = {2021 International Conference on Machine Learning XAI-Workshop (ICML-XAI)},
  year    = {2021},
  url     = {https://arxiv.org/abs/2106.10472}
}

@article{icmlxai2021a,
  title   = {Neural Network Classifier as Mutual Information Evaluator},
  author  = {Qin, Zhenyue and Kim, Dongwoo and Gedeon Tom},
  journal = {2021 International Conference on Machine Learning XAI-Workshop (ICML-XAI)},
  year    = {2021},
  url     = {https://arxiv.org/abs/2106.10471}
}

@inproceedings{sean2021,
  author    = {Sean Li and Dongwoo Kim and Qing Wang},
  title     = {Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs},
  booktitle = ECML-PKDD,
  year      = {2021},
  url       = {https://arxiv.org/abs/2103.14187}
}

@inproceedings{park2021transfer,
  author    = {Hyejin Park and Seiyun Shin and Kwang-Sung Jun and Jungseul Ok},
  title     = {Transfer Learning in Bandits with Latent Continuity},
  booktitle = ISIT,
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.02472}
}

@inproceedings{CVPR2021,
  author    = {Yang Liu and Zhenyue Qin and Saeed Anwar and Pan Ji and Dongwoo Kim and Sabrina Caldwell and Tom Gedeon},
  title     = {Invertible Denoising Network: A Light Solution for Real Noise Removal},
  booktitle = CVPR,
  year      = {2021},
  url       = {https://arxiv.org/abs/2104.10546}
}


@inproceedings{OkReconstruct,
  author    = {Jiin Woo and Jungseul Ok and Yung Yi},
  title     = {Iterative Learning of Graph Connectivity from Partially-Observed Cascade Samples},
  booktitle = MobiHoc,
  year      = {2020},
  publisher = {ACM}
} 


@inproceedings{jin2013impact,
  title        = {On the impact of global information on diffusion of innovations over social networks},
  author       = {Jin, Youngmi and Ok, Jungseul and Yi, Yung and Shin, Jinwoo},
  booktitle    = INFOCOM,
  pages        = {3267--3272},
  year         = {2013},
  organization = {IEEE}
}

@article{yun2013embedding,
  title     = {Embedding of virtual network requests over static wireless multihop networks},
  author    = {Yun, Donggyu and Ok, Jungseul and Shin, Bongjhin and Park, Soobum and Yi, Yung},
  journal   = {Computer Networks},
  volume    = {57},
  number    = {5},
  pages     = {1139--1152},
  year      = {2013},
  publisher = {Elsevier}
}

@incollection{woo2013development,
  title     = {Development and Implementation of Break Falling System for a Biped Robot},
  author    = {Woo, Seung Je and Lee, Sung G and Ok, Jung Seul and Kim, Jong Hwan},
  booktitle = {Robot Intelligence Technology and Applications 2012},
  pages     = {315--325},
  year      = {2013},
  publisher = {Springer, Berlin, Heidelberg}
}

@inproceedings{combes2014optimal,
  title        = {Optimal rate sampling in 802.11 systems},
  author       = {Combes, Richard and Proutiere, Alexandre and Yun, Donggyu and Ok, Jungseul and Yi, Yung},
  booktitle    = INFOCOM,
  pages        = {2760--2767},
  year         = {2014},
  organization = {IEEE}
}

@inproceedings{ok2014influence,
  title        = {Influence maximization over strategic diffusion in social networks},
  author       = {Ok, Jungseul and Jin, Youngmi and Choi, Jaeyoung and Shin, Jinwoo and Yi, Yung},
  booktitle    = CISS,
  pages        = {1--5},
  year         = {2014},
  organization = {IEEE}
}

@inproceedings{ok2015progressive,
  title        = {On the progressive spread over strategic diffusion: Asymptotic and computation},
  author       = {Ok, Jungseul and Shin, Jinwoo and Yi, Yung},
  booktitle    = INFOCOM,
  pages        = {1562--1570},
  year         = {2015},
  organization = {IEEE}
}

@inproceedings{ok2016optimality,
  title     = {Optimality of belief propagation for crowdsourced classification},
  author    = {Ok, Jungseul and Oh, Sewoong and Shin, Jinwoo and Yi, Yung},
  booktitle = ICML,
  pages     = {535--544},
  year      = {2016}
}

@inproceedings{lee2015vertical,
  title        = {Vertical resolution loss and perceptual 3D video quality},
  author       = {Lee, Chulhee and Ok, Jiheon and Woo, S and Baek, J},
  booktitle    = IISA,
  pages        = {1--3},
  year         = {2015},
  organization = {IEEE}
}

@article{ok2018optimal,
  title     = {Optimal inference in crowdsourced classification via belief propagation},
  author    = {Ok, Jungseul and Oh, Sewoong and Shin, Jinwoo and Yi, Yung},
  journal   = {IEEE Transactions on Information Theory},
  volume    = {64},
  number    = {9},
  pages     = {6127--6138},
  year      = {2018},
  publisher = {IEEE}
}

@article{ok2017iterative,
  title   = {Iterative Bayesian Learning for Crowdsourced Regression},
  author  = {Ok, Jungseul and Oh, Sewoong and Jang, Yunhun and Shin, Jinwoo and Yi, Yung},
  journal = {arXiv preprint arXiv:1702.08840},
  year    = {2017}
}

@article{ok2016maximizing,
  title     = {On maximizing diffusion speed over social networks with strategic users},
  author    = {Ok, Jungseul and Jin, Youngmi and Shin, Jinwoo and Yi, Yung},
  journal   = {IEEE/ACM Transactions on Networking},
  volume    = {24},
  number    = {6},
  pages     = {3798--3811},
  year      = {2016},
  publisher = {IEEE}
}

@inproceedings{ok2014maximizing,
  title        = {On maximizing diffusion speed in social networks: impact of random seeding and clustering},
  author       = {Ok, Jungseul and Jin, Youngmi and Shin, Jinwoo and Yi, Yung},
  booktitle    = {ACM SIGMETRICS Performance Evaluation Review},
  volume       = {42},
  number       = {1},
  pages        = {301--313},
  year         = {2014},
  organization = {ACM}
}

@inproceedings{ok2017incentivizing,
  title        = {Incentivizing strategic users for social diffusion: Quantity or quality?},
  author       = {Ok, Jungseul and Shin, Jinwoo and Yi, Yung},
  booktitle    = INFOCOM,
  pages        = {1--9},
  year         = {2017},
  organization = {IEEE}
}

@inproceedings{ok2017collaborative,
  title     = {Collaborative clustering: Sample complexity and efficient algorithms},
  author    = {Ok, Jungseul and Yun, Se-Young and Proutiere, Alexandre and Mochaourab, Rami},
  booktitle = {International Conference on Algorithmic Learning Theory},
  pages     = {288--329},
  year      = {2017}
}


@article{shin2018posted,
  title   = {On the Posted Pricing in Crowdsourcing: Power of Bonus},
  author  = {Shin, Suho and Ok, Jungseul and Choi, Hoyong and Yi, Yung},
  journal = {arXiv preprint arXiv:1804.03178},
  year    = {2018}
}

@inproceedings{ok2018exploration,
  title     = {Exploration in structured reinforcement learning},
  author    = {Ok, Jungseul and Proutiere, Alexandre and Tranos, Damianos},
  booktitle = NeurIPS,
  pages     = {8874--8882},
  year      = {2018}
}

@inproceedings{huang2018combinatorial,
  title     = {Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications.},
  author    = {Huang, Weiran and Ok, Jungseul and Li, Liang and Chen, Wei},
  booktitle = IJCAI,
  volume    = {18},
  pages     = {2291--2297},
  year      = {2018}
}

@article{combes2018optimal,
  title     = {Optimal Rate Sampling in 802.11 Systems: Theory, Design, and Implementation},
  author    = {Combes, Richard and Ok, Jungseul and Proutiere, Alexandre and Yun, Donggyu and Yi, Yung},
  journal   = {IEEE Transactions on Mobile Computing},
  volume    = {18},
  number    = {5},
  pages     = {1145--1158},
  year      = {2019},
  publisher = {IEEE}
}

@article{Kim2019,
  author   = {Kim, Dongwoo
              and Graham, Timothy
              and Wan, Zimin
              and Rizoiu, Marian-Andrei},
  title    = {Analysing user identity via time-sensitive semantic edit distance (t-SED): a case study of Russian trolls on Twitter},
  journal  = {Journal of Computational Social Science},
  year     = {2019},
  month    = {Jul},
  day      = {01},
  volume   = {2},
  number   = {2},
  pages    = {331--351},
  abstract = {In the digital era, individuals are increasingly profiled and grouped based on the traces that they leave behind in online social networks such as Twitter and Facebook. In this paper, we develop and evaluate a novel text analysis approach for studying user identity and social roles by redefining identity as a sequence of timestamped items (e.g., tweet texts). We operationalise this idea by developing a novel text distance metric, the time-sensitive semantic edit distance (t-SED), which accounts for the temporal context across multiple traces. To evaluate this method, we undertake a case study of Russian online-troll activity within US political discourse. The novel metric allows us to classify the social roles of trolls based on their traces, in this case tweets, into one of the predefined categories left-leaning, right-leaning, and news feed. We show the effectiveness of the t-SED metric to measure the similarities between tweets while accounting for the temporal context, and we use novel data visualisation techniques and qualitative analysis to uncover new empirical insights into Russian troll activity that have not been identified in the previous work. In addition, we highlight a connection with the field of actor--network theory and the related hypotheses of Gabriel Tarde, and we discuss how social sequence analysis using t-SED may provide new avenues for tackling a longstanding problem in social theory: how to analyse society without separating reality into micro vs. macro-levels.},
  issn     = {2432-2725},
  doi      = {10.1007/s42001-019-00051-x},
  url      = {https://doi.org/10.1007/s42001-019-00051-x}
}

@inproceedings{Shin:2019:VGD:3289600.3290616,
  author    = {Shin, Minjeong and Kim, Dongwoo and Lee, Jae Hee and Bista, Umanga and Xie, Lexing},
  title     = {Visualizing Graph Differences from Social Media Streams},
  booktitle = {Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining},
  series    = {WSDM '19},
  year      = {2019},
  isbn      = {978-1-4503-5940-5},
  location  = {Melbourne VIC, Australia},
  pages     = {806--809},
  numpages  = {4},
  url       = {http://doi.acm.org/10.1145/3289600.3290616},
  doi       = {10.1145/3289600.3290616},
  acmid     = {3290616},
  publisher = {ACM},
  address   = {New York, NY, USA},
  keywords  = {graph diff, relation extraction, relational data comparison}
} 

@inproceedings{walder18a,
  title     = {Neural Dynamic Programming for Musical Self Similarity},
  author    = {Walder, Christian and Kim, Dongwoo},
  booktitle = {Proceedings of the 35th International Conference on Machine Learning},
  pages     = {5105--5113},
  year      = {2018},
  editor    = {Dy, Jennifer and Krause, Andreas},
  volume    = {80},
  series    = {Proceedings of Machine Learning Research},
  address   = {StockholmsmÀssan, Stockholm Sweden},
  month     = {10--15 Jul},
  publisher = {PMLR},
  pdf       = {http://proceedings.mlr.press/v80/walder18a/walder18a.pdf},
  url       = {http://proceedings.mlr.press/v80/walder18a.html},
  abstract  = {We present a neural sequence model designed specifically for symbolic music. The model is based on a learned edit distance mechanism which generalises a classic recursion from computer science, leading to a neural dynamic program. Repeated motifs are detected by learning the transformations between them. We represent the arising computational dependencies using a novel data structure, the edit tree; this perspective suggests natural approximations which afford the scaling up of our otherwise cubic time algorithm. We demonstrate our model on real and synthetic data; in all cases it out-performs a strong stacked long short-term memory benchmark.}
}


@inproceedings{kim18c,
  title     = {Self-Bounded Prediction Suffix Tree via Approximate String Matching},
  author    = {Kim, Dongwoo and Walder, Christian},
  booktitle = {Proceedings of the 35th International Conference on Machine Learning},
  pages     = {2659--2667},
  year      = {2018},
  editor    = {Dy, Jennifer and Krause, Andreas},
  volume    = {80},
  series    = {Proceedings of Machine Learning Research},
  address   = {StockholmsmÀssan, Stockholm Sweden},
  month     = {10--15 Jul},
  publisher = {PMLR},
  pdf       = {http://proceedings.mlr.press/v80/kim18c/kim18c.pdf},
  url       = {http://proceedings.mlr.press/v80/kim18c.html},
  abstract  = {Prediction suffix trees (PST) provide an effective tool for sequence modelling and prediction. Current prediction techniques for PSTs rely on exact matching between the suffix of the current sequence and the previously observed sequence. We present a provably correct algorithm for learning a PST with approximate suffix matching by relaxing the exact matching condition. We then present a self-bounded enhancement of our algorithm where the depth of suffix tree grows automatically in response to the model performance on a training sequence. Through experiments on synthetic datasets as well as three real-world datasets, we show that the approximate matching PST results in better predictive performance than the other variants of PST.}
}


@article{Kim2017,
  author   = {Dongwoo Kim
              and Alice Oh},
  title    = {Hierarchical Dirichlet scaling process},
  journal  = {Machine Learning},
  year     = {2017},
  volume   = {106},
  number   = {3},
  pages    = {387--418},
  abstract = {We present the hierarchical Dirichlet scaling process (HDSP), a Bayesian nonparametric mixed membership model. The HDSP generalizes the hierarchical Dirichlet process to model the correlation structure between metadata in the corpus and mixture components. We construct the HDSP based on the normalized gamma representation of the Dirichlet process, and this construction allows incorporating a scaling function that controls the membership probabilities of the mixture components. We develop two scaling methods to demonstrate that different modeling assumptions can be expressed in the HDSP. We also derive the corresponding approximate posterior inference algorithms using variational Bayes. Through experiments on datasets of newswire, medical journal articles, conference proceedings, and product reviews, we show that the HDSP results in a better predictive performance than labeled LDA, partially labeled LDA, and author topic model and a better negative review classification performance than the supervised topic model and SVM.},
  issn     = {1573-0565},
  doi      = {10.1007/s10994-016-5621-5},
  url      = {http://dx.doi.org/10.1007/s10994-016-5621-5}
}

@article{Q17-1014,
  author  = {Kim, Jooyeon
             and Kim, Dongwoo
             and Oh, Alice},
  title   = {Joint Modeling of Topics, Citations, and Topical Authority in Academic Corpora},
  journal = {Transactions of the Association for Computational Linguistics},
  year    = {2017},
  volume  = {5},
  pages   = {191--204},
  url     = {http://aclweb.org/anthology/Q17-1014}
}


@inproceedings{jin2017hcomp,
  title     = {Leveraging Side Information to Improve Crowd-sourcing},
  author    = {Yuan Jin and Mark Carman and Dongwoo Kim and Lexing Xie},
  booktitle = {The fifth AAAI Conference on Human Computation and Crowdsourcing (HCOMP)},
  year      = {2017}
}


@inproceedings{chen2017recsys,
  title     = {PathRec: Visual Analysis of Travel Route Recommendations},
  author    = {Dawei Chen and Dongwoo Kim and Lexing Xie and Minjeong Shin and Aditya Menon and Cheng Soon Ong and Iman Avazpour and John Grundy},
  booktitle = {The ACM Conference on Recommender Systems (RecSys)},
  year      = {2017}
}



@inproceedings{kim2016cikm,
  title     = {Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches},
  author    = {Dongwoo Kim and Lexing Xie and Cheng Soon Ong},
  booktitle = CIKM,
  year      = {2016}
}

@inproceedings{walder17a,
  title     = {Computer Assisted Composition with Recurrent Neural Networks},
  author    = {Christian Walder and Dongwoo Kim},
  booktitle = {Proceedings of the Ninth Asian Conference on Machine Learning},
  pages     = {359--374},
  year      = {2017},
  editor    = {Min-Ling Zhang and Yung-Kyun Noh},
  volume    = {77},
  series    = {Proceedings of Machine Learning Research},
  address   = {},
  month     = {15--17 Nov},
  publisher = {PMLR},
  pdf       = {http://proceedings.mlr.press/v77/walder17a/walder17a.pdf},
  url       = {http://proceedings.mlr.press/v77/walder17a.html},
  abstract  = {Sequence modeling with neural networks has lead to powerful models of symbolic music data. We address the problem of exploiting these models to reach creative musical goals, by combining with human input. To this end we generalise previous work, which sampled Markovian sequence models under the constraint that the sequence belong to the language of a given finite state machine provided by the human. We consider more expressive non-Markov models, thereby requiring approximate sampling which we provide in the form of an efficient sequential Monte Carlo method. In addition we provide and compare with a beam search strategy for conditional probability maximisation.
               Our algorithms are capable of convincingly re-harmonising famous musical works. To demonstrate this we provide visualisations, quantitative experiments, a human listening test and audio examples. We find both the sampling and optimisation procedures to be effective, yet complementary in character. For the case of highly permissive constraint sets, we find that sampling is to be preferred due to the overly regular nature of the optimisation based results. The generality of our algorithms permits countless other creative applications.}
}

@inproceedings{jojic2016hierarchical,
  title     = {Hierarchical learning of grids of microtopics},
  author    = {Nebojsa Jojic and Alessandro Perina and Dongwoo Kim},
  booktitle = UAI,
  year      = {2016}
}

@inproceedings{kim2014icml,
  title     = {Hierarchical Dirichlet Scaling Process},
  author    = {Dongwoo Kim and Alice Oh},
  booktitle = ICML,
  year      = {2014}
}

@inproceedings{jooyeon2014,
  title     = {Diversity-seeking users and their influence on social news sites},
  author    = {Jooyeon Kim and Joon Hee Kim and Dongwoo Kim and Alice Oh},
  booktitle = {Workshop on Data Science for News Publishing (NewsKDD) at KDD 2014},
  year      = {2014}
}

@inproceedings{alessandro2014a,
  title     = {Skim-reading thousands of documents in one minute: Data indexing and visualization for multifarious search},
  author    = {Alessandro Perina and Dongwoo Kim and Andrzej Turski and Nebojssa Jojic},
  booktitle = {Workshop on Interactive Data Exploration and Analytics (IDEA'14) at KDD 2014},
  year      = {2014}
}

@inproceedings{kim2013ijcai,
  title     = {Context-Dependent Conceptualization},
  author    = {Dongwoo Kim and Haixun Wang and Alice Oh},
  booktitle = IJCAI,
  year      = {2013}
}

@inproceedings{bak2012distributed,
  title     = {Distributed Online Learning for Latent Dirichlet Allocation},
  author    = {JinYeong Bak and Dongwoo Kim and Alice Oh},
  booktitle = {Workshop on Big Learning : Algorithms, Systems, and Tools at the NIPS.},
  year      = {2012}
}

@inproceedings{kim2012icml,
  author    = {Dongwoo Kim and Suin Kim and Alice Oh},
  title     = {Dirichlet Process with Mixed Random Measures: a Nonparametric Topic Model for Labeled Data},
  booktitle = {Proceedings of the 29th International Conference on Machine Learning (ICML)},
  year      = {2012}
}

@inproceedings{kim2012cikm,
  title     = {Modeling topic hierarchies with the recursive Chinese restaurant process},
  author    = {Joon Hee Kim and Dongwoo Kim and Suin Kim and Alice Oh},
  booktitle = CIKM,
  year      = {2012}
}

@article{kim2012arxiv,
  author  = {Dongwoo Kim and Yeonseung Chung and Alice Oh},
  title   = {Variable Selection for Latent Dirichlet Allocation},
  journal = {arXiv ePrints:1205.1053},
  year    = {2012}
}

@inproceedings{kim2011cikm,
  title     = {Accounting for Data Dependencies within a Hierarchical Dirichlet Process Mixture Model},
  author    = {Dongwoo Kim and Alice Oh},
  booktitle = CIKM,
  year      = {2011}
}

@inproceedings{kim2011cicling,
  author    = {Dongwoo Kim and Alice Oh},
  title     = {Topic Chains for Understanding a News Corpus},
  booktitle = CICLING,
  year      = {2011}
}

@inproceedings{kim2010chi,
  author    = {Dongwoo Kim and Yohan Jo and Il-Chul Moon and Alice Oh},
  title     = {Analysis of Twitter Lists as a potential source for discovering latent characteristics of users},
  booktitle = {Workshop on Microblogging at the ACM Conference on Human Factors in Computer Systems},
  year      = {2010}
}

@inproceedings{moon2010learning,
  title        = {Learning Influence Propagation of Personal Blogs with Content and Network Analyses},
  author       = {Il-Chul Moon and Dongwoo Kim and Yohan Jo and Alice Oh},
  booktitle    = {2010 IEEE Second International Conference on Social Computing (SocialCom)},
  pages        = {669--674},
  year         = {2010},
  organization = {IEEE}
}