2025
  • C159 Devil is in the Detail: Towards Injecting Fine Details of Image Prompt in Image Generation via Conflict-free Guidance and Stratified Attention
    • Kyungmin Jo, Jooyeol Yun, and Jaegul Choo
    • IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
    • [PDF]
  • C158 Zero-Shot Head Swapping in Real-World Scenarios
    • Sohyun Jeong, Taewoong Kang, Hyojin Jang, and Jaegul Choo
    • IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
    • [PDF]
  • C157 Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling
    • Junha Hyung, Kinam Kim, Susung Hong, Min-Jung Kim, and Jaegul Choo
    • IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
    • [PDF]
  • C156 Single Ground Truth Is Not Enough: Adding Flexibility to Aspect-Based Sentiment Analysis Evaluation
    • Soyoung Yang, Hojun Cho, Jiyoung Lee, Sohee Yoon, Edward Choi, Jaegul Choo, and Won Ik Cho
    • Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2025.
    • [PDF]
  • C155 SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars
    • Jaeseong Lee, Taewoong Kang, Marcel Buehler, Min-Jung Kim, Sungwon Hwang, Junha Hyung, Hyojin Jang, and Jaegul Choo
    • International Conference on Learning Representations (ICLR), 2025. (32.08% acceptance rate).
    • [PDF]
  • C154 Sparse Autoencoders Reveal Selective Remapping of Visual Concepts during Adaptation
    • Hyesu Lim, Jinho Choi, Jaegul Choo, and Steffen Schneider
    • International Conference on Learning Representations (ICLR), 2025. (32.08% acceptance rate).
    • [PDF]
  • C153 SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning
    • Hojoon Lee, Dongyoon Hwang, Donghu Kim, Hyunseung Kim, Jun Jet Tai, Kaushik Subramanian, Peter R. Wurman, Jaegul Choo, Peter Stone, and Takuma Seno
    • International Conference on Learning Representations (ICLR), Accepted as Spotlight Presentation, 2025. (5.1% acceptance rate).
    • [PDF]
  • C152 What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer
    • Chaeyeon Chung, Sunghyun Park, Jeongho Kim, and Jaegul Choo
    • AAAI Conference on Artificial Intelligence (AAAI), 2025. (23.4% acceptance rate).
    • [PDF]
  • C151 Enabling Region-Specific Control via Lassos in Point-Based Colorization
    • Sanghyeon Lee, Jooyeol Yun, and Jaegul Choo
    • AAAI Conference on Artificial Intelligence (AAAI), 2025. (23.4% acceptance rate).
    • [PDF]
  • C150 Disentangling Subject-Irrelevant Elements against Subject in Personalized Text-to-Image Diffusion via Filtered Self-distillation
    • Seunghwan Choi, Jooyeol Yun, Jeonghoon Park, and Jaegul Choo
    • Winter Conference on Applications of Computer Vision (WACV), 2025.
    • [PDF]
  • C149 Skip-and-Play: Depth-Driven Pose-Preserved Image Generation for Any Objects
    • Kyungmin Jo and Jaegul Choo
    • Winter Conference on Applications of Computer Vision (WACV), 2025.
    • [PDF]
2024
  • C148 EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models
    • Jinhee Kim,* Taesung Kim,* and Jaegul Choo
    • Conference on Neural Information Processing Systems (NeurIPS), 2024. (25.8% acceptance rate).
    • [PDF]
  • C147 Do's and Don'ts: Learning Desirable Skills with Instruction Videos
    • Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Donghu Kim, and Jaegul Choo
    • Conference on Neural Information Processing Systems (NeurIPS), 2024. (25.8% acceptance rate).
    • [PDF]
  • C146 Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting
    • Junha Hyung, Susung Hong, Sungwon Hwang, Jaeseong Lee, Jaegul Choo, and Jin-Hwa Kim
    • Conference on Neural Information Processing Systems (NeurIPS), 2024. (25.8% acceptance rate).
    • [PDF]
  • C145 Towards Calibrated Robust Fine-Tuning of Vision-Language Models
    • Changdae Oh,* Hyesu Lim,* Mijoo Kim, Dongyoon Han, Sangdoo Yun, Jaegul Choo, Alexander G Hauptmann, Zhi-Qi Cheng, and Kyungwoo Song
    • Conference on Neural Information Processing Systems (NeurIPS), 2024. (25.8% acceptance rate).
    • [PDF]
  • C144 Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models
    • Minseok Choi, Kyunghyun Min, and Jaegul Choo
    • Conference on Empirical Methods in Natural Language Processing (EMNLP), Findings of EMNLP, 2024.
    • [PDF]
  • C143 Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling
    • Daehoon Gwak,* Junwoo Park,* Minho Park, ChaeHun Park, Hyunchan Lee, Edward Choi, and Jaegul Choo
    • Conference on Empirical Methods in Natural Language Processing (EMNLP), Findings of EMNLP, 2024.
    • [PDF]
  • C142 Training Spatial-Frequency Visual Prompts and Probabilistic Clusters for Accurate Black-Box Transfer Learning
    • Wonwoo Cho, Kangyeol Kim, Saemee Choi, and Jaegul Choo
    • ACM International Conference on Multimedia (MM), 2024. (26.2% acceptance rate).
    • [PDF]
  • C141 PairEval: Open-domain Dialogue Evaluation Metric with Pairwise Comparisons
    • ChaeHun Park, Minseok Choi, Dohyun Lee, and Jaegul Choo
    • Conference on Language Modeling (COLM), 2024. (28.8% acceptance rate).
    • [PDF]
  • C140 Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation through Collaborative Error Revision
    • Jinhee Kim,* Taesung Kim,* and Jaegul Choo
    • European Conference on Computer Vision (ECCV), 2024. (27.9% acceptance rate).
    • [PDF]
  • C139 TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models
    • Jeongho Kim,* Min-Jung Kim,* Junsoo Lee, and Jaegul Choo
    • European Conference on Computer Vision (ECCV), 2024. (27.9% acceptance rate).
    • [PDF]
  • C138 SelfSwapper: Self-Supervised Face Swapping via Shape-Agnostic Masked AutoEncoder
    • Jaeseong Lee,* Junha Hyung,* Sohyun Jeong, and Jaegul Choo
    • European Conference on Computer Vision (ECCV), 2024. (27.9% acceptance rate).
    • [PDF]
  • C137 VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting using Learned Priors
    • Sungwon Hwang,* Min-Jung Kim,* Taewoong Kang, Jayeon Kang, and Jaegul Choo
    • European Conference on Computer Vision (ECCV), 2024. (27.9% acceptance rate).
    • [PDF]
  • C136 Scaling Up Personalized Image Aesthetic Assessment via Task Vector Customization
    • Jooyeol Yun, and Jaegul Choo
    • European Conference on Computer Vision (ECCV), 2024. (27.9% acceptance rate).
    • [PDF]
  • C135 Is User Feedback Always Informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data
    • Junha Song, Tae Soo Kim, Junha Kim, Gunhee Nam, Thijs Kooi, and Jaegul Choo
    • European Conference on Computer Vision (ECCV), 2024. (27.9% acceptance rate).
    • [PDF]
  • C134 Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering
    • ChaeHun Park,* Koanho Lee,* Hyesu Lim, Jaeseok Kim, Junmo Park, Yu-Jung Heo, Du-Seong Chang, and Jaegul Choo
    • Annual Meeting of the Association for Computational Linguistics (ACL), Findings of ACL, 2024.
    • [PDF]
  • C133 Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models
    • Dohyun Lee,* Daniel Rim,* Minseok Choi, and Jaegul Choo
    • Annual Meeting of the Association for Computational Linguistics (ACL), Findings of ACL, 2024.
    • [PDF]
  • C132 A Simple Convolution Injector for Vision Transformer Towards Effective Adaptation in Visuo-Motor Control
    • Dongyoon Hwang,* Byungkun Lee,* Hojoon Lee, Hyunseung Kim, and Jaegul Choo
    • International Conference on Machine Learning (ICML), 2024. (27.54% acceptance rate).
    • [PDF]
  • C131 Investigating Pre-Training Objectives for Generalization in Visual Reinforcement Learning
    • Donghu Kim,* Hojoon Lee,* Kyungmin Lee,* Dongyoon Hwang, and Jaegul Choo
    • International Conference on Machine Learning (ICML), 2024. (27.54% acceptance rate).
    • [PDF]
  • C130 Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks
    • Hojoon Lee, Hyeonseo Cho, Hyunseung Kim, Donghu Kim, Dugki Min, Jaegul Choo, and Clare Lyle
    • International Conference on Machine Learning (ICML), 2024. (27.54% acceptance rate).
    • [PDF]
  • C129 Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation
    • Chung Park, Taesan Kim, Hyungjun Yoon, Junui Hong, Yelim Yu, Mincheol Cho, Minsung Choi, and Jaegul Choo
    • International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024. (20.1% acceptance rate).
    • [PDF]
  • C128 Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair
    • Jeonghoon Park,* Chaeyeon Chung,* Juyoung Lee, and Jaegul Choo
    • IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
    • [PDF]
  • C127 StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
    • Jeongho Kim, Gyojung Gu, Minho Park, Sunghyun Park, and Jaegul Choo
    • IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
    • [PDF]
  • C126 Self-Supervised Contrastive Forecasting
    • Junwoo Park, Daehoon Gwak, Jaegul Choo, and Edward Choi
    • International Conference on Learning Representations (ICLR), 2024. (31.0% acceptance rate).
    • [PDF]
  • C125 Expression Domain Translation Network for Cross-domain Head Reenactment
    • Taewoong Kang,* Jeongsik Oh,* Jaeseong Lee, Sunghyun Park, and Jaegul Choo
    • IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
    • [PDF]
  • C124 MagiCapture: High-Resolution Multi-Concept Portrait Customization
    • Junha Hyung,* Jaeyo Shin,* and Jaegul Choo
    • AAAI Conference on Artificial Intelligence (AAAI), 2024. (23.75% acceptance rate).
    • [PDF]
  • C123 iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds
    • Dongmin Choi, Wonwoo Cho, Kangyeol Kim, and Jaegul Choo
    • AAAI Conference on Artificial Intelligence (AAAI), 2024. (23.75% acceptance rate).
    • [PDF]
  • C122 When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection
    • Dongmin Kim, Sunghyun Park, and Jaegul Choo
    • AAAI Conference on Artificial Intelligence (AAAI), 2024. (23.75% acceptance rate).
    • [PDF]
  • C121 LensNeRF: Rethinking Volume Rendering based on Thin-Lens Camera Model
    • Min-Jung Kim, Gyojung Gu, and Jaegul Choo
    • Winter Conference on Applications of Computer Vision (WACV), 2024.
    • [PDF]
  • C120 Slice and Conquer: A Planar-to-3D Framework for Efficient Interactive Segmentation of Volumetric Images
    • Wonwoo Cho, Dongmin Choi, Hyesu Lim, Jinho Choi, Saemee Choi, Hyun-seok Min, Sungbin Lim, and Jaegul Choo
    • Winter Conference on Applications of Computer Vision (WACV), 2024.
    • [PDF]
  • J34 Unraveling the Role of Raman Modes in Evaluating the Degree of Reduction in Graphene Oxide via Explainable Artificial Intelligence
    • Jaekak Yoo,* Youngwoo Cho,* Dong Hyeon Kim, Jaeseok Kim, Tae Geol Lee, Seung Mi Lee, Jaegul Choo, and Mun Seok Jeong
    • Nano Today (IF=13.2 as of 2023), 2024.
    • [PDF]
  • J33 A Computed Tomography–Based Fracture Prediction Model With Images of Vertebral Bones and Muscles by Employing Deep Learning: Development and Validation Study
    • Sung Hye Kong, Wonwoo Cho, Sung Bae Park, Jaegul Choo, Jung Hee Kim, Sang Wan Kim, and Chan Soo Shin
    • Journal of Medical Internet Research (JMIR), Vol. 26, e48535, 2024.
    • [PDF]
  • J32 Prediction of Treatment Response after Stereotactic Radiosurgery of Brain Metastasis using Deep Learning and Radiomics on Longitudinal MRI Data
    • Se Jin Cho, Wonwoo Cho, Dongmin Choi, Gyuhyeon Sim, So Yeong Jeong, Sung Hyun Baik, Yun Jung Bae, Byung Se Choi, Jae Hyoung Kim, Sooyoung Yoo, Jung Ho Han, Chae-Yong Kim, Jaegul Choo, and Leonard Sunwoo
    • Scientific Reports, 2024.
    • [PDF]
2023
  • C119 SimCKP: Simple Contrastive Learning of Keyphrase Representations
    • Minseok Choi, Chaeheon Gwak, Seho Kim, Si Hyeong Kim, and Jaegul Choo
    • Conference on Empirical Methods in Natural Language Processing (EMNLP), Findings of EMNLP, 2023.
    • [PDF]
  • C118 AniEE: A Dataset of Animal Experimental Literature for Event Extraction
    • Dohee Kim,* Ra Yoo,* Soyoung Yang, Hee Yang, and Jaegul Choo
    • Conference on Empirical Methods in Natural Language Processing (EMNLP), Findings of EMNLP, 2023.
    • [PDF]
  • C117 Towards Formality-Aware Neural Machine Translation by Leveraging Context Information
    • Dohee Kim,* Yujin Baek,* Soyoung Yang, and Jaegul Choo
    • Conference on Empirical Methods in Natural Language Processing (EMNLP), Short Paper, Findings of EMNLP, 2023.
    • [PDF]
  • C116 Learning to Discover Skills through Guidance
    • Hyunseung Kim,* Byungkun Lee,* Sejik Park, Hojoon Lee, Dongyoon Hwang, Kyushik Min, and Jaegul Choo
    • Conference on Neural Information Processing Systems (NeurIPS), 2023. (26.1% acceptance rate).
    • [PDF]
  • C115 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, and Chulhee Yun
    • Conference on Neural Information Processing Systems (NeurIPS), 2023. (26.1% acceptance rate).
    • [PDF]
  • C114 HPC ClusterScape: Increasing Transparency and Efficiency of Shared High-Performance Computing Clusters for Large-scale AI Models
    • Heungseok Park, Aeree Cho, Hyojun Jeon, Hayoung Lee, Youngil Yang, Sungjae Lee, Heungsub Lee, and Jaegul Choo
    • Visualization in Data Science (VDS), 2023.
    • [PDF]
  • C113 PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration
    • Minseok Choi, Hyesu Lim, and Jaegul Choo
    • International Joint Conference on Natural Language Processing and the Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL), Short Paper, Findings of IJCNLP-AACL, 2023.
    • [PDF]
  • C112 Learning to Diversify Neural Text Generation via Degenerative Model
    • Jimin Hong,* ChaeHun Park,* and Jaegul Choo
    • International Joint Conference on Natural Language Processing and the Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL), Short Paper, Findings of IJCNLP-AACL, 2023.
    • [PDF]
  • C111 FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning
    • Chung Park, Taekyoon Choi, Taesan Kim, Mincheol Cho, Junui Hong, Minsung Choi, and Jaegul Choo
    • ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2023. (20.11% acceptance rate).
    • [PDF]
  • C110 ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal
    • Hojoon Lee,* Hawon Jeong,* Byungkun Lee,* Kyungyup Daniel Lee, and Jaegul Choo
    • ACM International Conference on Information and Knowledge Management (CIKM), Short Paper, 2023.
    • [PDF]
  • C109 Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation
    • Chung Park, Taesan Kim, Taekyoon Choi, Junui Hong, Yelim Yu, Mincheol Cho, Kyunam Lee, Sungil Ryu, Hyungjun Yoon, Minsung Choi, and Jaegul Choo
    • ACM International Conference on Information and Knowledge Management (CIKM), 2023.
    • [PDF]
  • C108 Shortcut-V2V: Compression Framework for Video-to-Video Translation based on Temporal Redundancy Reduction
    • Chaeyeon Chung,* Yeojeong Park,* Seunghwan Choi, Munkhsoyol Ganbat, and Jaegul Choo
    • International Conference on Computer Vision (ICCV), 2023.
    • [PDF]
  • C107 Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis
    • Minho Park,* Jooyeol Yun,* Seunghwan Choi, and Jaegul Choo
    • International Conference on Computer Vision (ICCV), 2023.
    • [PDF]
  • C106 Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization
    • Jungsoo Lee, Debasmit Das, Jaegul Choo, and Sungha Choi
    • International Conference on Computer Vision (ICCV), 2023.
    • [PDF]
  • C105 Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts
    • Sunghyun Park, Seunghan Yang, Jaegul Choo, and Sungrack Yun
    • International Conference on Computer Vision (ICCV), 2023.
    • [PDF]
  • C104 FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields
    • Sungwon Hwang, Junha Hyung, Daejin Kim, Min-Jung Kim, and Jaegul Choo
    • International Conference on Computer Vision (ICCV), 2023.
    • [PDF]
  • C103 CAFA: Class-Aware Feature Alignment for Test-time Adaptation
    • Sanghun Jung, Jungsoo Lee, Nanhee Kim, Amirreza Shaban, Byron Boots, and Jaegul Choo
    • International Conference on Computer Vision (ICCV), 2023.
    • [PDF]
  • C102 3D-Aware Generative Model for Improved Side-View Image Synthesis
    • Kyungmin Jo,* Wonjoon Jin,* Jaegul Choo, Hyunjoon Lee, and Sunghyun Cho
    • International Conference on Computer Vision (ICCV), 2023.
    • [PDF]
  • C101 Towards Physically Reliable Molecular Representation Learning
    • Seunghoon Yi, Youngwoo Cho, Jinhwan Sul, Seung Woo Ko, Soo Kyung Kim, , Jaegul Choo, Hongkee Yoon, and Joonseok Lee
    • Conference on Uncertainty in Artificial Intelligence (UAI), 2023. Accepted as Oral Presentation (3.1% acceptance rate).
    • [PDF]
  • C100 Pre-training Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations
    • Chung Park, TaeSan Kim, Junui Hong, Minsung Choi, and Jaegul Choo
    • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2023. (23.97% acceptance rate).
    • [PDF]
  • C99 Deep Imbalanced Time-series Forecasting via Local Discrepancy Density
    • Junwoo Park, Jungsoo Lee, Youngin Cho, Woncheol Shin, Dongmin Kim, Jaegul Choo, and Edward Choi
    • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2023. (23.97% acceptance rate).
    • [PDF]
  • C98 HistRED: A Historical Document-Level Relation Extraction Dataset
    • Soyoung Yang, Minseok Choi, Youngwoo Cho, and Jaegul Choo
    • Annual Meeting of the Association for Computational Linguistics (ACL), Long Paper, 2023.
    • [PDF]
  • C97 Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints
    • Yujin Baek,* Koanho Lee,* Dayeon Ki, Hyoung-Gyu Lee, Cheonbok Park, and Jaegul Choo
    • Annual Meeting of the Association for Computational Linguistics (ACL), Findings of ACL, 2023.
    • [PDF]
  • C96 DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation
    • ChaeHun Park, Seungil Cha Lee, Daniel Rim, and Jaegul Choo
    • Annual Meeting of the Association for Computational Linguistics (ACL), Findings of ACL, 2023.
    • [PDF]
  • C95 On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning
    • Hojoon Lee, Koanho Lee, Dongyoon Hwang, Hyunho Lee, Byungkun Lee, and Jaegul Choo
    • International Conference on Machine Learning (ICML), 2023. (27.94% acceptance rate).
    • [PDF]
  • C94 Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rays
    • Daeun Kyung,* Kyungmin Jo,* Jaegul Choo, Joonseok Lee, and Edward Choi
    • IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Best Student Paper Award, 2023.
    • [PDF]
  • C93 Local 3D Editing via 3D Distillation of CLIP Knowledge
    • Junha Hyung, Sungwon Hwang, Daejin Kim, Hyunji Lee, and Jaegul Choo
    • IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2023. (25.78% acceptance rate).
    • [PDF]
  • C92 PePe: Personalized Post-editing Model Utilizing User-generated Post-edits
    • Jihyeon Lee,* TaeHee Kim,* Yunwon Tae,* Cheonbok Park, and Jaegul Choo
    • Conference of the European Chapter of the Association for Computational Linguistics (EACL), Findings of EACL, 2023.
    • [PDF]
  • C91 TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
    • Hyesu Lim, Byeonggeun Kim, Jaegul Choo, and Sungha Choi
    • International Conference on Learning Representations (ICLR), 2023. (31.8% acceptance rate).
    • [PDF]
  • C90 Revisiting the Importance of Amplifying Bias for Debiasing
    • Jungsoo Lee,* Jeonghoon Park,* Daeyoung Kim,* Juyoung Lee, Edward Choi, and Jaegul Choo
    • AAAI Conference on Artificial Intelligence (AAAI), 2023. (19.6% acceptance rate).
    • [PDF]
  • C89 Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization
    • Youngin Cho,* Junsoo Lee,* Soyoung Yang, Juntae Kim, Yeojeong Park, Haneol Lee, Mohammad Azam Khan, Daesik Kim, and Jaegul Choo
    • Winter Conference on Applications of Computer Vision (WACV), 2023.
    • [PDF]
  • C88 Training Auxiliary Prototypical Classifiers for Explainable Anomaly Detection in Medical Image Segmentation
    • Wonwoo Cho, Jeonghoon Park, and Jaegul Choo
    • Winter Conference on Applications of Computer Vision (WACV), 2023.
    • [PDF]
  • C87 CG-NeRF: Conditional Generative Neural Radiance Fields for 3D-aware Image Synthesis
    • Kyungmin Jo,* Gyumin Shim,* Sanghun Jung, Soyoung Yang, and Jaegul Choo
    • Winter Conference on Applications of Computer Vision (WACV), 2023.
    • [PDF]
  • C86 iColoriT: Towards Propagating Local Hint to the Right Region in Interactive Colorization by Leveraging Vision Transformer
    • Sanghyeon Lee,* JooYeol Yun,* Minho Park,* and Jaegul Choo
    • Winter Conference on Applications of Computer Vision (WACV), 2023.
    • [PDF]
  • J31 Explainable Artificial Intelligence Approach to Identify the Origin of Phonon-Assisted Emission in WSe2 Monolayer
    • Jaekak Yoo,* Youngwoo Cho,* Byeonggeun Jeong, Soo Ho Choi, Ki Kang Kim, Seong Chu Lim, Seung Mi Lee, Jaegul Choo, and Mun Seok Jeong
    • Advanced Intelligent Systems, 2023.
    • [PDF]
  • J30 A Visual Analytics System for Improving Traffic Forecasting Models
    • Seungmin Jin, Hyunwook Lee, Cheonbok Park, Hyeshin Chu, Yunwon Tae, Jaegul Choo, and Sungahn Ko
    • IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023. (26.5% acceptance rate).
    • [PDF]
2022
  • C85 Rethinking Style Transformer by Energy-based Interpretation: Adversarial Unsupervised Style Transfer using Pretrained Model
    • Hojun Cho, Dohee Kim, Seungwoo Ryu, ChaeHun Park, Hyungjong Noh, Jeong-in Hwang, Minseok Choi, Edward Choi, and Jaegul Choo
    • Conference on Empirical Methods in Natural Language Processing (EMNLP), Long Paper, 2022.
    • [PDF]
  • C84 PNEG: Prompt-based Negative Response Generation for Dialogue Response Selection Task
    • Nyoungwoo Lee, ChaeHun Park, Ho-Jin Choi, and Jaegul Choo
    • Conference on Empirical Methods in Natural Language Processing (EMNLP), Short Paper, 2022.
    • [PDF]
  • C83 WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting
    • Youngin Cho,* Daejin Kim,* Dongmin Kim, Mohammad Azam Khan, and Jaegul Choo
    • Conference on Neural Information Processing Systems (NeurIPS), 2022. (25.6% acceptance rate).
    • [PDF]
  • C82 Mining Multi-Label Samples from Single Positive Labels
    • Youngin Cho,* Daejin Kim,* Mohammad Azam Khan, and Jaegul Choo
    • Conference on Neural Information Processing Systems (NeurIPS), 2022. (25.6% acceptance rate).
    • [PDF]
  • C81 CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition
    • Rodrigo Hormazabal, Changyoung Park, Soonyoung Lee, Sehui Han, Yeonsik Jo, Jaewan Lee, Ahra Jo, Seung Hwan Kim, Jaegul Choo, Moontae Lee, and Honglak Lee
    • Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track, 2022.
    • [PDF]
  • C80 Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity
    • TaeHee Kim,* ChaeHun Park,* Jimin Hong, Radhika Dua, Edward Choi, and Jaegul Choo
    • International Conference on Computational Linguistics (COLING), 2022.
    • [PDF]
  • C79 Residual Correction in Real-Time Traffic Forecasting
    • Daejin Kim,* Youngin Cho,* Dongmin Kim, Cheonbok Park, and Jaegul Choo
    • ACM International Conference on Information and Knowledge Management (CIKM), 2022.
    • [PDF]
  • C78 AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment
    • Kangyeol Kim,* Sunghyun Park,* Jaeseong Lee,* Sunghyo Chung, Junsoo Lee, and Jaegul Choo
    • European Conference on Computer Vision (ECCV), 2022.
    • [PDF]
  • C77 Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment
    • Taewoo Kim,* Chaeyeon Chung,* Yoonseo Kim,* Sunghyun Park, Kangyeol Kim, and Jaegul Choo
    • European Conference on Computer Vision (ECCV), 2022.
    • [PDF]
  • C76 High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions
    • SangYun Lee,* Gyojung Gu,* Sunghyun Park, Seunghwan Choi, and Jaegul Choo
    • European Conference on Computer Vision (ECCV), 2022.
    • [PDF]
  • C75 Towards Accurate Open-Set Recognition via Background-Class Regularization
    • Wonwoo Cho and Jaegul Choo
    • European Conference on Computer Vision (ECCV), 2022.
    • [PDF]
  • C74 ReFu: Refine and Fuse the Unobserved View for Detail-Preserving Single-Image 3D Human Reconstruction
    • Gyumin Shim,* Minsoo Lee,* and Jaegul Choo
    • ACM International Conference on Multimedia (MM), 2022. (27.9% acceptance rate).
    • [PDF]
  • C73 Morphology-Aware Interactive Keypoint Estimation
    • Jinhee Kim,* Taesung Kim,* Taewoo Kim, Jaegul Choo, Dong-Wook Kim, Byungduk Ahn, In-Seok Song, and Yoon-Ji Kim
    • International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022. (13% first-round provisional acceptance rate).
    • [PDF]
  • C72 Enemy Spotted: In-game Gun Sound Dataset for Gunshot Classification and Localization
    • Junwoo Park, Youngwoo Cho, Gyuhyeon Sim, Hojoon Lee, and Jaegul Choo
    • IEEE Conference on Games (CoG), 2022.
    • [PDF]
  • C71 DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation
    • Bum Chul Kwon, Jungsoo Lee, Chaeyeon Chung, Nyoungwoo Lee, Ho-Jin Choi, and Jaegul Choo
    • EG/VGTC Conference on Visualization (EuroVis), Short Paper, 2022. Honorable Mention Award.
    • [PDF]
  • C70 Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems
    • Hojoon Lee, Dongyoon Hwang, Kyushik Min, and Jaegul Choo
    • International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Short Paper, 2022. (0.3% acceptance rate). Best Short Paper Honorable Mention Award.
    • [PDF]
  • C69 DraftRec: Personalized Draft Recommendation for Victory in Multi-Player Online Battle Arena Games
    • Hojoon Lee,* Dongyoon Hwang,* Hyunseung Kim, Byungkun Lee, and Jaegul Choo
    • International World Wide Web Conference (WWW), 2022.
    • [PDF]
  • C68 Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift
    • Taesung Kim,* Jinhee Kim,* Yunwon Tae, Cheonbok Park, Jang-Ho Choi, and Jaegul Choo
    • International Conference on Learning Representations (ICLR), 2022.
    • [PDF]
  • C67 PASTA: Parallel Spatio-Temporal Attention with Spatial Auto-Correlation Gating for Fine-Grained Crowd Flows Prediction
    • Chung Park, Junui Hong, Cheonbok Park, Taesan Kim, Minsung Choi, and Jaegul Choo
    • Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022. (19.3% acceptance rate).
    • [PDF]
2021
  • C66 HairFIT: Pose-Invariant Hairstyle Transfer via Flow-based Hair Alignment and Semantic-Region-Aware Inpainting
    • Chaeyeon Chung,* Taewoo Kim,* Hyelin Nam,* Seunghwan Choi, Gyojung Gu, Sunghyun Park, and Jaegul Choo
    • British Machine Vision Conference (BMVC), 2021. Accepted as Oral Presentation (3.6% acceptance rate).
    • [PDF]
  • C65 Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children
    • Jungsoo Lee,* Jooyeol Yun,* Sunghyun Park, Yonggyu Kim, and Jaegul Choo
    • British Machine Vision Conference (BMVC), 2021.
    • [PDF]
  • C64 Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE
    • Kangyeol Kim,* Sunghyun Park,* Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, and Edward Choi
    • British Machine Vision Conference (BMVC), 2021.
    • [PDF]
  • C63 Learning Debiased Representation via Disentangled Feature Augmentation
    • Jungsoo Lee,* Eungyeup Kim,* Juyoung Lee, Jihyeon Lee, and Jaegul Choo
    • Conference on Neural Information Processing Systems (NeurIPS), 2021. Accepted as Oral Presentation (1% acceptance rate).
    • [PDF]
  • C62 Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space
    • Beomsoo Kim, Jang-Ho Choi, and Jaegul Choo
    • Asian Conference on Machine Learning (ACML), 2021. (30.4% acceptance rate).
    • [PDF]
  • C61 AVoCaDo: Strategy for Adapting Vocabulary to Downstream Domain
    • Jimin Hong,* Taehee Kim,* Hyesu Lim,* and Jaegul Choo
    • Conference on Empirical Methods in Natural Language Processing (EMNLP), Short Paper, 2021.
    • [PDF]
  • C60 Novel Natural Language Summarization of Program Code via Leveraging Multiple Input Representations
    • Fuxiang Chen, Mijung Kim, and Jaegul Choo
    • Conference on Empirical Methods in Natural Language Processing (EMNLP), Findings of EMNLP, 2021.
    • [PDF]
  • C59 Standardized Max Logit: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation
    • Sanghun Jung,* Jungsoo Lee,* Daehoon Gwak, Sungha Choi, and Jaegul Choo
    • International Conference on Computer Vision (ICCV), 2021. Accepted as Oral Presentation (3% acceptance rate).
    • [PDF]
  • C58 Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects
    • Eungyeup Kim,* Sanghyeon Lee,* Jeonghoon Park,* Somi Choi, Choonghyun Seo, and Jaegul Choo
    • International Conference on Computer Vision (ICCV), 2021. Accepted as Oral Presentation (3% acceptance rate).
    • [PDF]
  • C57 BiaSwap: Removing Dataset Bias with Bias-Tailored Swapping Augmentation
    • Eungyeup Kim,* Jihyeon Lee,* and Jaegul Choo
    • International Conference on Computer Vision (ICCV), 2021. (25.9% acceptance rate).
    • [PDF]
  • C56 Knowledge Graph-based Question Answering with Electronic Health Records
    • Junwoo Park, Youngwoo Cho, Haneol Lee, Jaegul Choo, and Edward Choi
    • Machine Learning for Healthcare (MLHC), 2021.
    • [PDF]
  • C55 K-Hairstyle: A Large-Scale Korean Hairstyle Dataset for Virtual Hair Editing and Hairstyle Classification
    • Taewoo Kim, Chaeyeon Chung, Sunghyun Park, Gyojung Gu, Keonmin Nam, Wonzo Choe, Jaesung Lee, and Jaegul Choo
    • IEEE International Conference on Image Processing (ICIP), 2021.
    • [PDF]
  • C54 Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning
    • Cheonbok Park,* Yunwon Tae,* Taehee Kim, Soyoung Yang, Mohammad Azam Khan, Eunjeong Park, and Jaegul Choo
    • Joint Conference of the Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (ACL-IJCNLP), Long Paper, 2021.
    • [PDF]
  • C53 Constructing Multi-Modal Dialogue Dataset with Text-to-Image Replacement
    • Nyoungwoo Lee*, Suwon Shin,* Jaegul Choo, Ho-Jin Choi, and Sung-Hyun Myaeng
    • Joint Conference of the Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (ACL-IJCNLP), Short Paper, 2021.
    • [PDF]
  • C52 Learning to Generate Questions by Learning to Recover Answer-containing Sentences
    • Seohyun Back, Akhil Kedia, Sai Chetan Chinthakindi, Haejun Lee, and Jaegul Choo
    • Joint Conference of the Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (ACL-IJCNLP), Findings of ACL, 2021.
    • [PDF]
  • C51 VATUN: Visual Analytics for Testing and Understanding Convolutional Neural Networks
    • Cheonbok Park,* Soyoung Yang,* Inyoup Na,* Sunghyo Chung, Sungbok Shin, Bum Chul Kwon, Deokgun Park, and Jaegul Choo
    • EG/VGTC Conference on Visualization (EuroVis), Short Paper, 2021.
    • [PDF]
  • C50 Understanding Human-side Impact of Sampling Image Batches in Subjective Attribute Labeling
    • Chaeyeon Chung,* Jungsoo Lee,* Kyungmin Park, Junsoo Lee, Minjae Kim, Mookyung Song, Yeonwoo Kim, Jaegul Choo, and Sungsoo Ray Hong
    • ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), 2021.
    • [PDF]
  • C49 Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation
    • Kyeongpil Kang, Kyohoon Jin, Soyoung Yang, Sujin Jang, Jaegul Choo, and Youngbin Kim
    • Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021.
    • [PDF]
  • C48 3D Cell Instance Segmentation via Point Proposals using Cellular Components
    • Jinho Choi, Junwoo Park, Hyeon-seok Min, Hyungjoo Cho, Sungbin Lim, and Jaegul Choo
    • Proc. SPIE 11647, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XIX, 2021.
    • [PDF]
  • C47 RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening
    • Sungha Choi,* Sanghun Jung,* Huiwon Yun, Joanne Kim, Seungryong Kim, and Jaegul Choo
    • IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021. Accepted as Oral Presentation (4.7% acceptance rate).
    • [PDF]
  • C46 VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization
    • Seunghwan Choi,* Sunghyun Park,* Minsoo Lee,* and Jaegul Choo
    • IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021. (27.0% acceptance rate).
    • [PDF]
  • C45 Not Just Compete, But Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction
    • Daejin Kim, Mohammad Azam Khan, and Jaegul Choo
    • IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021. (27.0% acceptance rate).
    • [PDF]
  • C44 An Empirical Experiment on Deep Learning Models for Predicting Traffic Data
    • Hyunwook Lee, Cheonbok Park, Seungmin Jin, Hyeshin Chu, Jaegul Choo, and Sungahn Ko
    • IEEE International Conference on Data Engineering (ICDE), Short Paper, 2021.
    • [PDF]
  • C43 Efficient Adversarial Audio Synthesis via Progressive Upsampling
    • Youngwoo Cho, Minwook Chang, Sanghyeon Lee, Hyoungwoo Lee, Gerard Jounghyun Kim, and Jaegul Choo
    • IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021. (48.0% acceptance rate).
    • [PDF]
  • C42 Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation
    • Sunghyun Park,* Kangyeol Kim,* Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, and Edward Choi
    • AAAI Conference on Artificial Intelligence (AAAI), 2021. (21.4% acceptance rate).
    • [PDF]
  • J29 Artificial Intelligence-Assisted Analysis of Endoscopic Retrograde Cholangiopancreatography Image for Identifying Ampulla and Difficulty of Selective Cannulation
    • Taesung Kim,* Jinhee Kim,* Hyuk Soon Choi, Eun Sun Kim, Bora Keum, Yoon Tae Jeen, Hong Sik Lee, Hoon Jai Chun, Sung Yong Han, Dong Uk Kim, Soonwook Kwon, Jaegul Choo, and Jae Min Lee
    • Scientific Reports, 2021.
    • [PDF]
  • J28 Development of Artificial Intelligence System for Quality Control of Photo Documentation in Esophagogastroduodenoscopy
    • Seong Ji Choi,* Mohammad Azam Khan,* Hyuk Soon Choi, Jaegul Choo, Jae Min Lee, and Soonwook Kwon
    • Surgical Endoscopy, 2021.
    • [PDF]
  • J27 HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks
    • Heungseok Park, Yoonsoo Nam, Ji-Hoon Kim, and Jaegul Choo
    • IEEE Transactions on Visualization and Computer Graphics (TVCG), 2021. (24.8% acceptance rate).
    • [PDF]
2020
  • C41 End-To-End Multi-Task Learning of Missing Value Imputation and Forecasting in Time-Series Data
    • Jinhee Kim,* Taesung Kim,* Jang-Ho Choi, and Jaegul Choo
    • International Conference on Pattern Recognition (ICPR), 2020.
    • [PDF]
  • C40 Multimodal Image Translation with Stochastic Style Representations and Mutual Information Loss
    • Sanghyeon Na, Seungjoo Yoo, and Jaegul Choo
    • British Machine Vision Conference (BMVC), 2020. (5.0% acceptance rate).
    • [PDF]
  • C39 ST-GRAT: Spatio-Temporal Graph Attention Network for Traffic Forecasting
    • Cheonbok Park, Chunggi Lee, Hyojin Bahng, Yunwon Tae, Seungmin Jin, Kihwan Kim, Sungahn Ko, and Jaegul Choo
    • ACM International Conference on Information and Knowledge Management (CIKM), 2020. (20.9% acceptance rate).
    • [PDF]
  • C38 Learning De-biased Representations with Biased Representations
    • Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, and Seong Joon Oh
    • International Conference on Machine Learning (ICML), 2020. (21.8% acceptance rate).
    • [PDF]
  • C37 Cars Can’t Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks
    • Sungha Choi, Joanne Kim, and Jaegul Choo
    • IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (22.1% acceptance rate).
    • [PDF]
  • C36 Reference-based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence
    • Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, and Jaegul Choo
    • IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (22.1% acceptance rate).
    • [PDF]
  • C35 Exploring Unlabeled Faces for Novel Attribute Discovery
    • Hyojin Bahng, Sunghyo Chung, Seungjoo Yoo, and Jaegul Choo
    • IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (22.1% acceptance rate).
    • [PDF]
  • C34 NeurQuRI: Neural Question Requirement Inspector for Answerability Prediction in Machine Reading Comprehension
    • Seohyun Back, Sai Chetan Chinthakindi, Akhil Kedia, Haejun Lee, and Jaegul Choo
    • International Conference on Learning Representations (ICLR), 2020. (26.5% acceptance rate).
    • [PDF]
  • J26 Automatic Detection of Tympanic Membrane and Middle Ear Infection from Oto-Endoscopic Images via Convolutional Neural Networks
    • Mohammad Azam Khan,* Soonwook Kwon,* Jaegul Choo, Seok Min Hong, Sung Hun Kang, Il-Ho Park, Sung Kyun Kim, and Seok Jin Hong
    • Neural Networks (IF=5.875), 2020.
    • [PDF]
  • J25 Probabilistic Topic Modeling for Comparative Analysis of Document Collections
    • Ting Hua, Chang-Tien Lu, Jaegul Choo, and Chandan K. Reddy
    • ACM Transactions on Knowledge Discovery from Data (TKDD), 2020.
    • [PDF]
2019
  • C33 NL2pSQL: Generating Pseudo-SQL Queries from Under-specified Natural Language Question
    • Fuxiang Chen, Seung-won Hwang, Jaegul Choo, Jung-Woo Ha, and Sunghun Kim
    • Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019. (23.8% acceptance rate).
    • [PDF]
  • C32 Recommender System Using Sequential and Global Preference via Attention Mechanism and Topic Modeling
    • Kyeongpil Kang, Junwoo Park, Wooyoung Kim, Hojung Choe, and Jaegul Choo
    • ACM International Conference on Information and Knowledge Management (CIKM), 2019. (19.0% acceptance rate).
    • [PDF]
  • C31 SANVis: Visual Analytics for Understanding Self-Attention Networks
    • Cheonbok Park, Inyoup Na, Yongjang Jo, Sungbok Shin, Jaehyo Yoo, Bum Chul Kwon, Jian Zhao, Hyungjong Noh, Yeonsoo Lee, and Jaegul Choo
    • IEEE VIS, Short Paper, 2019. (31.7% acceptance rate).
    • [PDF]
  • C30 Learning to Focus and Track Extreme Climate Events
    • Sookyung Kim,* Sunghyun Park,* Sunghyo Chung,* Joonseok Lee, Yunsung Lee, Hyojin Kim, Mr Prabhat, and Jaegul Choo
    • British Machine Vision Conference (BMVC), 2019. Accepted as Spotlight Presentation (6.9% acceptance rate).
    • [PDF]
  • C29 Image-to-Image Translation via Group-wise Deep Whitening and Coloring
    • Wonwoong Cho, Sungha Choi, David Park, Inkyu Shin, and Jaegul Choo
    • IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019. Accepted as Oral Presentation (5.5% acceptance rate).
    • [PDF]
  • C28 Coloring With Limited Data: Few-Shot Colorization via Memory-Augmented Networks
    • Seungjoo Yoo, Hyojin Bahng, Sunghyo Chung, Junsoo Lee, Jaehyuk Chang, and Jaegul Choo
    • IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019. (25.2% acceptance rate).
    • [PDF]
  • C27 AILA: Attentive Interactive Labeling Assistant for Document Classification through Attention-Based Deep Neural Networks
    • Minsuk Choi, Cheonbok Park, Soyoung Yang, Yonggyu Kim, Jaegul Choo, and Sungsoo Ray Hong
    • ACM CHI Conference on Human Factors in Computing Systems (CHI), 2019. (23.8% acceptance rate).
    • [PDF]
  • C26 Paraphrase Diversification using Counterfactual Debiasing
    • Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, and Jinyeong Yim
    • AAAI Conference on Artificial Intelligence (AAAI), 2019. (16.2% acceptance rate).
    • [PDF]
  • J24 Visualizing for the Non-Visual: Enabling the Visually Impaired to Use Visualization
    • Jinho Choi, SangHun Jung, Deokgun Park, Jaegul Choo, and Niklas Elmqvist
    • Computer Graphics Forum (CGF), 2019. (31.0% acceptance rate).
    • [PDF]
  • J23 Whose Opinion Matters? Analyzing Relationships between Bitcoin Prices and User Groups in Online Community
    • Kyeongpil Kang, Jaegul Choo, and YoungBin Kim
    • Social Science Computer Review (IF=3.253), 2019.
    • [PDF]
  • J22 End-to-End Partial Discharge Detection in Power Cables via Time-Domain Convolutional Neural Networks
    • Mohammad Azam Khan, Jaegul Choo, and Yong-Hwa Kim
    • Journal of Electrical Engineering & Technology, 2019.
    • [PDF]
  • J20 RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records
    • Bum Chul Kwon, Min-Je Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, and Jaegul Choo
    • IEEE Transactions on Visualization and Computer Graphics (TVCG), 2019. (25.6% acceptance rate).
    • [PDF]
2018
  • C25 MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller
    • Seohyun Back, Seunghak Yu, Sathish Reddy Indurthi, Jihie Kim, and Jaegul Choo
    • Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018.
    • [PDF]
  • C24 Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation
    • Hyojin Bahng,* Seungjoo Yoo,* Wonwoong Cho,* David K. Park, Ziming Wu, Xiaojuan Ma, and Jaegul Choo
    • European Conference on Computer Vision (ECCV), 2018. (31.8% acceptance rate).
    • [PDF]
  • C23 MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation
    • David K. Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, and Noseong Park
    • International Joint Conference on Artificial Intelligence (IJCAI), 2018. (20.5% acceptance rate).
    • [PDF]
  • C22 MMGAN: Manifold Matching Generative Adversarial Network for Generating Images
    • Noseong Park, Ankesh Anand, Joel Ruben, Antony Moniz, Kookjin Lee, Jaegul Choo, David. K. Park, Tanmoy Chakraborty, Hongkyu Park, and Youngmin Kim
    • International Conference on Pattern Recognition (ICPR), 2018.
    • [PDF]
  • C21 StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
    • Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, and Jaegul Choo
    • IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Accepted as Oral Presentation (2.1% acceptance rate).
    • [PDF]
  • C20 Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations
    • Tian Shi, Kyeongpil Kang, Jaegul Choo, and Chandan K. Reddy
    • International World Wide Web Conference (WWW), 2018. (15.0% acceptance rate).
    • [PDF]
  • C19 TopicOnTiles: Tile-Based Spatio-Temporal Event Analytics via Exclusive Topic Modeling on Social Media
    • Minsuk Choi, Sungbok Shin, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry Drake, Haesun Park, and Jaegul Choo
    • ACM CHI Conference on Human Factors in Computing Systems (CHI), 2018. (25.7% acceptance rate).
    • [PDF]
  • J21 Guidance in the human-machine analytics process
    • Christopher Collins, Natalia Andrienko, Tobias Schreck, Jing Yang, Jaegul Choo, Ulrich Engelke, Amit Jena, and Tim Dwyer
    • Visual Informatics, 2018.
    • [PDF]
  • J19 Visual Analytics for Explainable Deep Learning
    • Jaegul Choo and Shixia Liu
    • IEEE Computer Graphics and Applications (CG&A), Volume 38, Number 4, pages 84-92, 2018.
    • [PDF]
  • J18 PixelSNE: Pixel-Aligned Stochastic Neighbor Embedding for Efficient 2D Visualization with Screen-Resolution Precision
    • Minjeong Kim, Minsuk Choi, Sunwoong Lee, Jian Tang, Haesun Park, and Jaegul Choo
    • Computer Graphics Forum (CGF), Volume 37, Issue 3, 2018. (29.0% acceptance rate).
    • [PDF]
  • J17 VisIRR: A Visual Analytics System for Information Retrieval and Recommendation for Large-Scale Document Data
    • Jaegul Choo, Hannah Kim, Edward Clarkson, Zhiecheng Liu, Changhyun Lee, Fuxin Li, Hanseung Lee, Ramakrishnan Kannan, Charles D. Stolper, John Stasko, and Haesun Park
    • ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 12, Number 1, pages 8:1-8:20, 2018.
    • [PDF]
  • J16 Localized User-Driven Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization
    • Sangho Suh, Sungbok Shin, Joonseok Lee, Chandan K. Reddy, and Jaegul Choo
    • Knowledge and Information Systems (KAIS), Volume 56, Issue 3, pages 503-531, 2018.
    • [PDF]
  • J15 ConceptVector: Text Visual Analytics via Interactive Lexicon Building Using Word Embedding
    • Deokgun Park, Seungyeon Kim, Jurim Lee, Jaegul Choo, Nicholas Diakopoulos, and Niklas Elmqvist
    • IEEE Transactions on Visualization and Computer Graphics (TVCG), Volume 24, Number 1, pages 361-370, 2018. (21.0% acceptance rate).
    • [PDF]
2017
  • C18 STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection
    • Sungbok Shin, Minsuk Choi, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Drake Barry, Haesun Park, and Jaegul Choo
    • IEEE International Conference on Data Mining (ICDM), 2017. (9.2% acceptance rate).
    • [PDF]
  • C17 Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization
    • Sangho Suh, Jaegul Choo, Joonseok Lee, and Chandan K. Reddy
    • International Joint Conference on Artificial Intelligence (IJCAI), 2017. Invited to Best Sister Conferences Paper Track as the ICDM'16 Best Student Paper.
    • [PDF]
  • C16 End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks
    • Min-Je Choi, Sehun Jeong, Hakjoo Oh, and Jaegul Choo
    • International Joint Conference on Artificial Intelligence (IJCAI), 2017. (26.0% acceptance rate).
    • [PDF]
  • C15 PIVE: Per-Iteration Visualization Environment for Real-time Interactive Visualizations using Computational Methods
    • Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, and Haesun Park
    • AAAI Conference on Artificial Intelligence (AAAI), 2017. (25.0% acceptance rate).
    • [PDF]
  • J14 Predicting the Currency Market in Online Gaming via Lexicon-Based Analysis on Its Online Forum
    • Young Bin Kim, Kyeongpil Kang, Jaegul Choo, Shin Jin Kang, TaeHyeong Kim, JaeHo Im, Jong-Hyun Kim, and Chang Hun Kim
    • Complexity (IF=4.621), Volume 2017, Article ID 4152705, 10 pages, 2017.
    • [PDF]
  • J13 Toward Predicting Social Support Needs in Online Health Social Networks
    • Min-Je Choi, Sung-Hee Kim, Sukwon Lee, Bum Chul Kwon, Ji Soo Yi, Jaegul Choo, and Jina Huh
    • Journal of Medical Internet Research (JMIR), Volume 19, Number 8: e272, 2017.
    • [PDF]
  • J12 When Bitcoin Encounters Information in an Online Forum: Using Text Mining to Analyse User Opinions and Predict Value Fluctuation
    • Young Bin Kim, Jurim Lee, Nuri Park, Jaegul Choo, Jong-Hyun Kim, and Chang Hun Kim
    • PLoS ONE, Volume 12, Number 5, pages 1598-1621, 2017.
    • [PDF]
  • J11 AxiSketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings
    • Bum Chul Kwon, Hannah Kim, Emily Wall, Jaegul Choo, Haesun Park, and Alex Endert
    • IEEE Transactions on Visualization and Computer Graphics (TVCG), Volume 23, Number 1, pages 221-230, 2017. (21.0% acceptance rate).
    • [PDF]
  • J10 TopicLens: Efficient Multi-Level Visual Topic Exploration of Large-Scale Document Collections
    • Minjeong Kim, Kyeongpil Kang, Deokgun Park, Jaegul Choo, and Niklas Elmqvist
    • IEEE Transactions on Visualization and Computer Graphics (TVCG), Volume 23, Number 1, pages 151-160, 2017. (21.0% acceptance rate).
    • [PDF]
2016
  • C14 L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization
    • Sangho Suh, Jaegul Choo, Joonseok Lee, and Chandan K. Reddy
    • IEEE International Conference on Data Mining (ICDM), 2016. (8.5% acceptance rate). Best Student Paper Award.
    • [PDF]
  • J9 Personas in Online Health Communities
    • Jina Huh, Bum Chul Kwon, Sung-Hee Kim, Sukwon Lee, Jaegul Choo, Jihoon Kim, Min-Je Choi, and Ji Soo Yi
    • Journal of Biomedical Informatics (JBI), Volume 63, pages 212-225, 2016.
    • [PDF]
  • J8 InterAxis: Steering Scatterplot Axes via Observation-Level Interaction
    • Hannah Kim, Jaegul Choo, Haesun Park, and Alex Endert
    • IEEE Transactions on Visualization and Computer Graphics (TVCG), Volume 22, Number 1, pages 131-140, 2016. (22.0% acceptance rate).
    • [PDF]
  • J7 VisOHC: Designing Visual Analytics for Online Health Communities
    • Bum Chul Kwon, Sung-Hee Kim, Sukwon Lee, Jaegul Choo, Jina Huh, and Ji Soo Yi
    • IEEE Transactions on Visualization and Computer Graphics (TVCG), Volume 22, Number 1, pages 71-80, 2016. (22.0% acceptance rate).
    • [PDF]
2015
  • C13 Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization
    • Hannah Kim, Jaegul Choo, Jingu Kim, Chandan K. Reddy, and Haesun Park
    • ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2015. (19.0% acceptance rate).
    • [PDF]
  • C12 DemographicVis: Analyzing Demographic Information Based on User Generated Content
    • Wenwen Dou, Isaac Cho, Omar ElTayeby, Jaegul Choo, Derek Xiaoyu Wang, and William Ribarsky
    • IEEE Conference on Visual Analytics Science and Technology (VAST), 2015.
    • [PDF]
  • C11 Project Recommendation Using Heterogeneous Traits in Crowdfunding
    • Vineeth Rakesh, Jaegul Choo, and Chandan K. Reddy
    • International AAAI Conference on Web and Social Media (ICWSM), 2015. (19.0% acceptance rate).
    • [PDF]
  • J6 Doubly Supervised Embedding based on Class Labels and Intrinsic Clusters for High-Dimensional Data Visualization
    • Hannah Kim, Jaegul Choo, Chandan K. Reddy, and Haesun Park
    • Neurocomputing, Volume 150, Part B, Pages 570-582, 2015.
    • [PDF]
  • J5 Weakly Supervised Nonnegative Matrix Factorization for User-driven Clustering
    • Jaegul Choo, Changhyun Lee, Chandan K. Reddy, and Haesun Park
    • Data Mining and Knowledge Discovery (DMKD), Volume 29, Number 6, pages 1598-1621, 2015.
    • [PDF]
2014
  • C10 To Gather Together for a Better World: Understanding and Leveraging Communities in Micro-Lending Recommendation
    • Jaegul Choo, Daniel Lee, Bistra Dilkina, Hongyuan Zha, and Haesun Park
    • International World Wide Web Conference (WWW), 2014. (13.0% acceptance rate).
    • [PDF]
  • C9 Understanding and Promoting Micro-finance Activities in Kiva.org
    • Jaegul Choo, Changhyun Lee, Daniel Lee, Hongyuan Zha, and Haesun Park
    • ACM International Conference on Web Search and Data Mining (WSDM), 2014. (18.0% acceptance rate).
    • [PDF]
2013
  • C8 An Interactive Visual Testbed System for Dimension Reduction and Clustering of Large-scale High-dimensional Data
    • Jaegul Choo, Hanseung Lee, Zhicheng Liu, John Stasko, and Haesun Park
    • Visualization and Data Analysis (VDA), 2013.
    • [PDF]
  • J4 UTOPIAN: User-driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization
    • Jaegul Choo, Changhyun Lee, Chandan K. Reddy, and Haesun Park
    • IEEE Transactions on Visualization and Computer Graphics (TVCG), Volume 19, Number 12, pages 1992-2001, 2013.
    • [PDF]
  • J3 Customizing Computational Methods for Visual Analytics with Big Data
    • Jaegul Choo and Haesun Park
    • IEEE Computer Graphics and Applications (CG&A), Volume 33, Issue 4, pages 22-28, 2013.
    • [PDF]
  • J2 Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw
    • Carsten Görg, Zhicheng Liu, Jaeyeon Kihm, Jaegul Choo, Haesun Park, and John Stasko
    • IEEE Transactions on Visualization and Computer Graphics (TVCG), Volume 19, Number 10, pages 1646-1663, 2013.
    • [PDF]
2012
  • C7 Heterogeneous Data Fusion via Space Alignment Using Nonmetric Multidimensional Scaling
    • Jaegul Choo, Shawn Bohn, Grant C. Nakamura, Amanda M. White, and Haesun Park
    • SIAM International Conference on Data Mining (SDM), 2012.
    • [PDF]
  • J1 iVisClustering: An Interactive Visual Clustering for Documents via Topic Modeling
    • Hanseung Lee, Jaeyeon Kihm, Jaegul Choo, John Stasko, and Haesun Park
    • Computer Graphics Forum (CGF), Volume 31, Issue 3pt3, pages 1155-1164, 2012.
    • [PDF]
2010
  • C6 iVisClassifier: An Interactive Visual Analytics System for Classification based on Supervised Dimension Reduction
    • Jaegul Choo, Hanseung Lee, Jaeyeon Kihm, and Haesun Park
    • IEEE Conference on Visual Analytics Science and Technology (VAST), 2010.
    • [PDF]
  • C5 p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics
    • Jaegul Choo, Chandan K. Reddy, Hanseung Lee, and Haesun Park
    • SIAM International Conference on Data Mining (SDM), 2010.
    • [PDF]
2009
  • C4 Hierarchical Linear Discriminant Analysis for Beamforming
    • Jaegul Choo, Barry L. Drake, and Haesun Park
    • SIAM International Conference on Data Mining (SDM), 2009. Accepted as Oral Presentation (12% acceptance rate).
    • [PDF]
  • C3 Two-stage Framework for Visualization of Clustered High-Dimensional Data
    • Jaegul Choo, Shawn Bohn, and Haesun Park
    • IEEE Conference on Visual Analytics Science and Technology (VAST), 2009.
    • [PDF]
2008
  • C2 Linear Discriminant Analysis for Data with Subcluster Structure
    • Haesun Park, Jaegul Choo, Barry L. Drake, and Jinwoo Kang
    • International Conference on Pattern Recognition (ICPR), 2008.
    • [PDF]
2007
  • C1 A Comparison of Unsupervised Dimension Reduction Algorithms for Classification
    • Jaegul Choo, Hyunsoo Kim, Haesun Park, and Hongyuan Zha
    • IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2007.
    • [PDF]