| 2026 | AAAI | SphereDiff: Tuning-free 360° Static and Dynamic Panorama Generation via Spherical Latent Representation. | Minho Park, Taewoong Kang, Jooyeol Yun, Sungwon Hwang, Jaegul Choo |
| 2026 | AAAI | Think Wise, Collaborate Effectively: A Rationale-Aware LLM-Based Recommender with Reinforcement Learning from Collaborative Signals. | Chung Park, Taesan Kim, Hyeongjun Yun, Dongjoon Hong, Junui Hong, Kijung Park, Mincheol Cho, Minsung Choi, Jihwan Seok, Jaegul Choo |
| 2026 | ACL | Talk to Your Slides: High-Efficiency Slide Editing via Language-Driven Structured Data Manipulation. | Kyudan Jung, Hojun Cho, Jooyeol Yun, Soyoung Yang, Jaehyeok Jang, Jaegul Choo |
| 2026 | ACL | Sommelier: Scalable Open Multi-turn Audio Pre-processing for Full-duplex Speech Language Models. | Kyudan Jung, Jihwan Kim, Soyoon Kim, Jeonghoon Kim, Jaegul Choo, Cheonbok Park |
| 2026 | ACL | Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method. | Taehee Kim, Seungbin Yang, Jihwan Kim, Jaegul Choo |
| 2026 | LREC | BankMathBench: A Benchmark for Numerical Reasoning in Banking Scenarios. | Yunseung Lee, Subin Kim, Youngjun Kwak, Jaegul Choo |
| 2025 | AAAI | What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer. | Chaeyeon Chung, Sunghyun Park, Jeongho Kim, Jaegul Choo |
| 2025 | AAAI | Enabling Region-Specific Control via Lassos in Point-Based Colorization. | Sanghyeon Lee, Jooyeol Yun, Jaegul Choo |
| 2025 | ACL | Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport. | Minseok Choi, Daniel Rim, Dohyun Lee, Jaegul Choo |
| 2025 | ACL | Exploring In-context Example Generation for Machine Translation. | Dohyun Lee, Seungil Chad Lee, Chanwoo Yang, Yujin Baek, Jaegul Choo |
| 2025 | ACL | Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration. | ChaeHun Park, Yujin Baek, Jaeseok Kim, Yu-Jung Heo, Du-Seong Chang, Jaegul Choo |
| 2025 | ACL | Revisiting LLMs as Zero-Shot Time Series Forecasters: Small Noise Can Break Large Models. | Junwoo Park, Hyuck Lee, Dohyun Lee, Daehoon Gwak, Jaegul Choo |
| 2025 | ACL | To Chat or Task: a Multi-turn Dialogue Generation Framework for Task-Oriented Dialogue Systems. | Daniel Rim, Minsoo Cho, Changwoo Chun, Jaegul Choo |
| 2025 | CHI | ShoeGenAI: A Creativity Support Tool for High-Feasible Shoe Product Design. | Hui-Jun Kim, Jeongho Kim, Sohyun Jeong, Minbong Lee, Jaegul Choo, Sung-Hee Kim |
| 2025 | CVPR | Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling. | Junha Hyung, Kinam Kim, Susung Hong, Min-Jung Kim, Jaegul Choo |
| 2025 | CVPR | 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, Jaegul Choo |
| 2025 | CVPR | Zero-Shot Head Swapping in Real-World Scenarios. | Taewoong Kang, Sohyun Jeong, Hyojin Jang, Jaegul Choo |
| 2025 | EMNLP | Building Resource-Constrained Language Agents: A Korean Case Study on Chemical Toxicity Information. | Hojun Cho, Donghu Kim, Soyoung Yang, Chan Lee, Hunjoo Lee, Jaegul Choo |
| 2025 | EMNLP | Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs. | Daehoon Gwak, Minseo Jung, Junwoo Park, Minho Park, ChaeHun Park, Junha Hyung, Jaegul Choo |
| 2025 | EMNLP | Evaluating Automatic Speech Recognition Systems for Korean Meteorological Experts. | ChaeHun Park, Hojun Cho, Jaegul Choo |
| 2025 | ICCV | PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-Aware Mask. | Jeongho Kim, Hoiyeong Jin, Sunghyun Park, Jaegul Choo |
| 2025 | ICCV | Fair Generation without Unfair Distortions: Debiasing Text-To-Image Generation with Entanglement-Free Attention. | Jeonghoon Park, Juyoung Lee, Chaeyeon Chung, Jaeseong Lee, Jaegul Choo, Jindong Gu |
| 2025 | ICLR | 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, Takuma Seno |
| 2025 | ICLR | SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars. | Jaeseong Lee, Taewoong Kang, Marcel C. Bhler, Min-Jung Kim, Sungwon Hwang, Junha Hyung, Hyojin Jang, Jaegul Choo |
| 2025 | ICLR | Sparse autoencoders reveal selective remapping of visual concepts during adaptation. | Hyesu Lim, Jinho Choi, Jaegul Choo, Steffen Schneider |
| 2025 | ICML | Hyperspherical Normalization for Scalable Deep Reinforcement Learning. | Hojoon Lee, Youngdo Lee, Takuma Seno, Donghu Kim, Peter Stone, Jaegul Choo |
| 2025 | NAACL | 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, Won Ik Cho |
| 2025 | WACV | Disentangling Subject-Irrelevant Elements in Personalized Text-to-Image Diffusion via Filtered Self-Distillation. | Seunghwan Choi, Jooyeol Yun, Jeonghoon Park, Jaegul Choo |
| 2025 | WACV | Skip-and-Play: Depth-Driven Pose-Preserved Image Generation for Any Objects. | Kyungmin Jo, Jaegul Choo |
| 2025 | UIST | ShoeGenAI: A Creativity Support Tool Bridging Design Intention and Feasibility in Shoe Design. | Hui-Jun Kim, Jeongho Kim, Sohyun Jeong, Minbong Lee, Jaegul Choo, Sung-Hee Kim |
| 2024 | AAAI | iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds. | Dongmin Choi, Wonwoo Cho, Kangyeol Kim, Jaegul Choo |
| 2024 | AAAI | MagiCapture: High-Resolution Multi-Concept Portrait Customization. | Junha Hyung, Jaeyo Shin, Jaegul Choo |
| 2024 | AAAI | When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection. | Dongmin Kim, Sunghyun Park, Jaegul Choo |
| 2024 | ACL | Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models. | Dohyun Lee, Daniel Rim, Minseok Choi, Jaegul Choo |
| 2024 | ACL | 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, Jaegul Choo |
| 2024 | CVPR | Stable VITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On. | Jeongho Kim, Gyojung Gu, Minho Park, Sunghyun Park, Jaegul Choo |
| 2024 | CVPR | Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair. | Jeonghoon Park, Chaeyeon Chung, Jaegul Choo |
| 2024 | ECCV | VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting Using Learned Priors. | Sungwon Hwang, Min-Jung Kim, Taewoong Kang, Jayeon Kang, Jaegul Choo |
| 2024 | ECCV | Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation Through Collaborative Error Revision. | Jinhee Kim, Taesung Kim, Jaegul Choo |
| 2024 | ECCV | TCAN: Animating Human Images with Temporally Consistent Pose Guidance Using Diffusion Models. | Jeongho Kim, Min-Jung Kim, Junsoo Lee, Jaegul Choo |
| 2024 | ECCV | SelfSwapper: Self-supervised Face Swapping via Shape Agnostic Masked AutoEncoder. | Jaeseong Lee, Junha Hyung, Sohyun Jung, Jaegul Choo |
| 2024 | ECCV | 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, Jaegul Choo |
| 2024 | ECCV | Scaling Up Personalized Image Aesthetic Assessment via Task Vector Customization. | Jooyeol Yun, Jaegul Choo |
| 2024 | EMNLP | Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models. | Minseok Choi, Kyunghyun Min, Jaegul Choo |
| 2024 | EMNLP | Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling. | Daehoon Gwak, Junwoo Park, Minho Park, ChaeHun Park, Hyunchan Lee, Edward Choi, Jaegul Choo |
| 2024 | ICASSP | Expression Domain Translation Network for Cross-Domain Head Reenactment. | Taewoong Kang, Jeongsik Oh, Jaeseong Lee, Sunghyun Park, Jaegul Choo |
| 2024 | ICLR | Self-Supervised Contrastive Learning for Long-term Forecasting. | Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi |
| 2024 | ICML | Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control. | Dongyoon Hwang, Byungkun Lee, Hojoon Lee, Hyunseung Kim, Jaegul Choo |
| 2024 | ICML | Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning. | Donghu Kim, Hojoon Lee, Kyungmin Lee, Dongyoon Hwang, Jaegul Choo |
| 2024 | ICML | 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, Clare Lyle |
| 2024 | SIGIR | 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, Jaegul Choo |
| 2024 | WACV | LensNeRF: Rethinking Volume Rendering based on Thin-Lens Camera Model. | Min-Jung Kim, Gyojung Gu, Jaegul Choo |
| 2024 | WACV | 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, Hyunseok Min, Sungbin Lim, Jaegul Choo |
| 2023 | AAAI | Revisiting the Importance of Amplifying Bias for Debiasing. | Jungsoo Lee, Jeonghoon Park, Daeyoung Kim, Juyoung Lee, Edward Choi, Jaegul Choo |
| 2023 | ACL | Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints. | Yujin Baek, Koanho Lee, Dayeon Ki, Cheonbok Park, Hyoung-Gyu Lee, Jaegul Choo |
| 2023 | ACL | DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation. | ChaeHun Park, Seungil Chad Lee, Daniel Rim, Jaegul Choo |
| 2023 | ACL | HistRED: A Historical Document-Level Relation Extraction Dataset. | Soyoung Yang, Minseok Choi, Youngwoo Cho, Jaegul Choo |
| 2023 | CIKM | ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal. | Hojoon Lee, Hawon Jeong, Byungkun Lee, Kyungyup Daniel Lee, Jaegul Choo |
| 2023 | CIKM | 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, Jaegul Choo |
| 2023 | CVPR | Local 3D Editing via 3D Distillation of CLIP Knowledge. | Junha Hyung, Sungwon Hwang, Daejin Kim, Hyunji Lee, Jaegul Choo |
| 2023 | EACL | PePe: Personalized Post-editing Model utilizing User-generated Post-edits. | Jihyeon Lee, Taehee Kim, Yunwon Tae, Cheonbok Park, Jaegul Choo |
| 2023 | EMNLP | SimCKP: Simple Contrastive Learning of Keyphrase Representations. | Minseok Choi, Chaeheon Gwak, Seho Kim, Si Hyeong Kim, Jaegul Choo |
| 2023 | EMNLP | Towards Formality-Aware Neural Machine Translation by Leveraging Context Information. | Dohee Kim, Yujin Baek, Soyoung Yang, Jaegul Choo |
| 2023 | EMNLP | AniEE: A Dataset of Animal Experimental Literature for Event Extraction. | Dohee Kim, Ra Yoo, Soyoung Yang, Hee Yang, Jaegul Choo |
| 2023 | ICASSP | Perspective Projection-Based 3d CT Reconstruction from Biplanar X-Rays. | Daeun Kyung, Kyungmin Jo, Jaegul Choo, Joonseok Lee, Edward Choi |
| 2023 | ICCV | Shortcut-V2V: Compression Framework for Video-to-Video Translation based on Temporal Redundancy Reduction. | Chaeyeon Chung, Yeojeong Park, Seunghwan Choi, Munkhsoyol Ganbat, Jaegul Choo |
| 2023 | ICCV | FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields. | Sungwon Hwang, Junha Hyung, Daejin Kim, Min-Jung Kim, Jaegul Choo |
| 2023 | ICCV | 3D-Aware Generative Model for Improved Side-View Image Synthesis. | Kyungmin Jo, Wonjoon Jin, Jaegul Choo, Hyunjoon Lee, Sunghyun Cho |
| 2023 | ICCV | CAFA: Class-Aware Feature Alignment for Test-Time Adaptation. | Sanghun Jung, Jungsoo Lee, Nanhee Kim, Amirreza Shaban, Byron Boots, Jaegul Choo |
| 2023 | ICCV | Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization. | Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi |
| 2023 | ICCV | Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis. | Minho Park, Jooyeol Yun, Seunghwan Choi, Jaegul Choo |
| 2023 | ICCV | Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts. | Sunghyun Park, Seunghan Yang, Jaegul Choo, Sungrack Yun |
| 2023 | ICLR | TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation. | Hyesu Lim, Byeonggeun Kim, Jaegul Choo, Sungha Choi |
| 2023 | ICML | On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning. | Hojoon Lee, Koanho Lee, Dongyoon Hwang, Hyunho Lee, Byungkun Lee, Jaegul Choo |
| 2023 | IJCNLP | PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration. | Minseok Choi, Hyesu Lim, Jaegul Choo |
| 2023 | IJCNLP | Learning to Diversify Neural Text Generation via Degenerative Model. | Jimin Hong, ChaeHun Park, Jaegul Choo |
| 2023 | WACV | 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, Jaegul Choo |
| 2023 | WACV | Training Auxiliary Prototypical Classifiers for Explainable Anomaly Detection in Medical Image Segmentation. | Wonwoo Cho, Jeonghoon Park, Jaegul Choo |
| 2023 | WACV | CG-NeRF: Conditional Generative Neural Radiance Fields for 3D-aware Image Synthesis. | Kyungmin Jo, Gyumin Shim, Sanghun Jung, Soyoung Yang, Jaegul Choo |
| 2023 | WACV | iColoriT: Towards Propagating Local Hints to the Right Region in Interactive Colorization by Leveraging Vision Transformer. | Jooyeol Yun, Sanghyeon Lee, Minho Park, Jaegul Choo |
| 2023 | UAI | Towards Physically Reliable Molecular Representation Learning. | Seunghoon Yi, Youngwoo Cho, Jinhwan Sul, Seung Woo Ko, Soo Kyung Kim, Jaegul Choo, Hongkee Yoon, Joonseok Lee |
| 2022 | CIKM | Residual Correction in Real-Time Traffic Forecasting. | Daejin Kim, Youngin Cho, Dongmin Kim, Cheonbok Park, Jaegul Choo |
| 2022 | COLING | Reweighting Strategy Based on Synthetic Data Identification for Sentence Similarity. | Taehee Kim, ChaeHun Park, Jimin Hong, Radhika Dua, Edward Choi, Jaegul Choo |
| 2022 | ECCV | Towards Accurate Open-Set Recognition via Background-Class Regularization. | Wonwoo Cho, Jaegul Choo |
| 2022 | ECCV | 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, Jaegul Choo |
| 2022 | ECCV | AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment. | Kangyeol Kim, Sunghyun Park, Jaeseong Lee, Sunghyo Chung, Junsoo Lee, Jaegul Choo |
| 2022 | ECCV | High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions. | Sangyun Lee, Gyojung Gu, Sunghyun Park, Seunghwan Choi, Jaegul Choo |
| 2022 | EMNLP | Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model. | Hojun Cho, Dohee Kim, Seungwoo Ryu, ChaeHun Park, Hyungjong Noh, Jeong-In Hwang, Minseok Choi, Edward Choi, Jaegul Choo |
| 2022 | EMNLP | Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task. | Nyoungwoo Lee, ChaeHun Park, Ho-Jin Choi, Jaegul Choo |
| 2022 | ICLR | Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift. | Taesung Kim, Jinhee Kim, Yunwon Tae, Cheonbok Park, Jang-Ho Choi, Jaegul Choo |
| 2022 | MICCAI | Morphology-Aware Interactive Keypoint Estimation. | Jinhee Kim, Taesung Kim, Taewoo Kim, Jaegul Choo, Dong-Wook Kim, Byungduk Ahn, In-Seok Song, Yoon-Ji Kim |
| 2022 | PAKDD | PASTA: PArallel Spatio-Temporal Attention with Spatial Auto-Correlation Gating for Fine-Grained Crowd Flow Prediction. | Chung Park, Junui Hong, Cheonbok Park, Taesan Kim, Minsung Choi, Jaegul Choo |
| 2022 | WWW | DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games. | Hojoon Lee, Dongyoon Hwang, Hyunseung Kim, Byungkun Lee, Jaegul Choo |
| 2022 | SIGIR | Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems. | Hojoon Lee, Dongyoon Hwang, Kyushik Min, Jaegul Choo |
| 2021 | AAAI | Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation. | Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi |
| 2021 | ACL | Learning to Generate Questions by Learning to Recover Answer-containing Sentences. | Seohyun Back, Akhil Kedia, Sai Chetan Chinthakindi, Haejun Lee, Jaegul Choo |
| 2021 | ACL | Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images. | Nyoungwoo Lee, Suwon Shin, Jaegul Choo, Ho-Jin Choi, Sung-Hyon Myaeng |
| 2021 | ACL | Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning. | Cheonbok Park, Yunwon Tae, Taehee Kim, Soyoung Yang, Mohammad Azam Khan, Lucy Park, Jaegul Choo |
| 2021 | ACML | Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space. | Beomsoo Kim, Jang-Ho Choi, Jaegul Choo |
| 2021 | BMVC | 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, Jaegul Choo |
| 2021 | BMVC | Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE. | Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi |
| 2021 | BMVC | Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children. | Jungsoo Lee, Jooyeol Yun, Sunghyun Park, Yonggyu Kim, Jaegul Choo |
| 2021 | CVPR | RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening. | Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne Taery Kim, Seungryong Kim, Jaegul Choo |
| 2021 | CVPR | VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization. | Seunghwan Choi, Sunghyun Park, Minsoo Lee, Jaegul Choo |
| 2021 | CVPR | Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction. | Daejin Kim, Mohammad Azam Khan, Jaegul Choo |
| 2021 | EMNLP | Novel Natural Language Summarization of Program Code via Leveraging Multiple Input Representations. | Fuxiang Chen, Mijung Kim, Jaegul Choo |
| 2021 | EMNLP | AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain. | Jimin Hong, Taehee Kim, Hyesu Lim, Jaegul Choo |
| 2021 | ICASSP | Efficient Adversarial Audio Synthesis VIA Progressive Upsampling. | Youngwoo Cho, Minwook Chang, Sanghyeon Lee, Hyoungwoo Lee, Gerard Jounghyun Kim, Jaegul Choo |
| 2021 | ICCV | Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation. | Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo |
| 2021 | ICCV | BiaSwap: Removing Dataset Bias with Bias-Tailored Swapping Augmentation. | Eungyeup Kim, Jihyeon Lee, Jaegul Choo |
| 2021 | ICCV | Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects. | Eungyeup Kim, Sanghyeon Lee, Jeonghoon Park, Somi Choi, Choonghyun Seo, Jaegul Choo |
| 2021 | ICDE | An Empirical Experiment on Deep Learning Models for Predicting Traffic Data. | Hyunwook Lee, Cheonbok Park, Seungmin Jin, Hyeshin Chu, Jaegul Choo, Sungahn Ko |
| 2021 | ICIP | 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, Jaegul Choo |
| 2021 | NAACL | Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation. | Kyeongpil Kang, Kyohoon Jin, Soyoung Yang, Soojin Jang, Jaegul Choo, Youngbin Kim |
| 2020 | BMVC | Multimodal Image Translation with Stochastic Style Representations and Mutual Information Loss. | Sanghyeon Na, Seungjoo Yoo, Jaegul Choo |
| 2020 | CIKM | ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed. | Cheonbok Park, Chunggi Lee, Hyojin Bahng, Yunwon Tae, Seungmin Jin, Kihwan Kim, Sungahn Ko, Jaegul Choo |
| 2020 | CVPR | Exploring Unlabeled Faces for Novel Attribute Discovery. | Hyojin Bahng, Sunghyo Chung, Seungjoo Yoo, Jaegul Choo |
| 2020 | CVPR | Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks. | Sungha Choi, Joanne Taery Kim, Jaegul Choo |
| 2020 | CVPR | Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence. | Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, Jaegul Choo |
| 2020 | ICDM | Data analysis and processing for spatio-temporal forecasting. | Hyoungwoo Lee, Jaegul Choo |
| 2020 | ICLR | NeurQuRI: Neural Question Requirement Inspector for Answerability Prediction in Machine Reading Comprehension. | Seohyun Back, Sai Chetan Chinthakindi, Akhil Kedia, Haejun Lee, Jaegul Choo |
| 2020 | ICML | Learning De-biased Representations with Biased Representations. | Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh |
| 2020 | ICPR | End-to-end Multi-task Learning of Missing Value Imputation and Forecasting in Time-Series Data. | Jinhee Kim, Taesung Kim, Jang-Ho Choi, Jaegul Choo |
| 2019 | AAAI | Paraphrase Diversification Using Counterfactual Debiasing. | Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim |
| 2019 | BMVC | Learning to Focus and Track Extreme Climate Events. | Sookyung Kim, Sunghyun Park, Sunghyo Chung, Joonseok Lee, Yunsung Lee, Hyojin Kim, Prabhat, Jaegul Choo |
| 2019 | CHI | AILA: Attentive Interactive Labeling Assistant for Document Classification through Attention-Based Deep Neural Networks. | Minsuk Choi, Cheonbok Park, Soyoung Yang, Yonggyu Kim, Jaegul Choo, Sungsoo Ray Hong |
| 2019 | CIKM | Recommender System Using Sequential and Global Preference via Attention Mechanism and Topic Modeling. | Kyeongpil Kang, Junwoo Park, Wooyoung Kim, Hojung Choe, Jaegul Choo |
| 2019 | CVPR | Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation. | Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo |
| 2019 | CVPR | Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks. | Seungjoo Yoo, Hyojin Bahng, Sunghyo Chung, Junsoo Lee, Jaehyuk Chang, Jaegul Choo |
| 2019 | EMNLP | NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions. | Fuxiang Chen, Seung-won Hwang, Jaegul Choo, Jung-Woo Ha, Sunghun Kim |
| 2018 | CHI | TopicOnTiles: Tile-Based Spatio-Temporal Event Analytics via Exclusive Topic Modeling on Social Media. | Minsuk Choi, Dear Sungbok Shin, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry L. Drake, Haesun Park, Jaegul Choo |
| 2018 | CVPR | StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. | Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo |
| 2018 | ECCV | Coloring with Words: Guiding Image Colorization Through Text-Based Palette Generation. | Hyojin Bahng, Seungjoo Yoo, Wonwoong Cho, David Keetae Park, Ziming Wu, Xiaojuan Ma, Jaegul Choo |
| 2018 | EMNLP | MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller. | Seohyun Back, Seunghak Yu, Sathish Reddy Indurthi, Jihie Kim, Jaegul Choo |
| 2018 | ICPR | MMGAN: Manifold-Matching Generative Adversarial Networks. | Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Jaegul Choo, David Keetae Park, Tanmoy Chakraborty, Hongkyu Park, Youngmin Kim |
| 2018 | IJCAI | MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation. | David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park |
| 2018 | WWW | Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations. | Tian Shi, Kyeongpil Kang, Jaegul Choo, Chandan K. Reddy |
| 2017 | AAAI | PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering. | Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, Haesun Park |
| 2017 | ICDM | STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection. | Dear Sungbok Shin, Minsuk Choi, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry L. Drake, Haesun Park, Jaegul Choo |
| 2017 | IJCAI | End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks. | Minje Choi, Sehun Jeong, Hakjoo Oh, Jaegul Choo |
| 2017 | IJCAI | Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization. | Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy |
| 2016 | ICDM | L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization. | Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy |
| 2015 | ICWSM | Project Recommendation Using Heterogeneous Traits in Crowdfunding. | Vineeth Rakesh, Jaegul Choo, Chandan K. Reddy |
| 2015 | IUI | IUI-TextVis 2015: Fourth Workshop on Interactive Visual Text Analytics. | Jaegul Choo, Christopher Collins, Wenwen Dou, Alex Endert |
| 2015 | KDD | Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization. | Hannah Kim, Jaegul Choo, Jingu Kim, Chandan K. Reddy, Haesun Park |
| 2014 | WWW | To gather together for a better world: understanding and leveraging communities in micro-lending recommendation. | Jaegul Choo, Daniel Lee, Bistra Dilkina, Hongyuan Zha, Haesun Park |
| 2014 | WSDM | Understanding and promoting micro-finance activities in Kiva.org. | Jaegul Choo, Changhyun Lee, Daniel Lee, Hongyuan Zha, Haesun Park |
| 2013 | CHI | Fast interactive visualization for multivariate data exploration. | Changhyun Lee, Wei Zhuo, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park |
| 2013 | ICDM | Interactive Data Analysis Tool by Augmenting MATLAB with Semantic Objects. | Changhyun Lee, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park |
| 2013 | KDD | Lytic: synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics. | Edward Clarkson, Jaegul Choo, John Turgeson, Ray Decuir, Haesun Park |
| 2013 | KDD | Augmenting MATLAB with semantic objects for an interactive visual environment. | Changhyun Lee, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park |
| 2013 | VDA | An interactive visual testbed system for dimension reduction and clustering of large-scale high-dimensional data. | Jaegul Choo, Hanseung Lee, Zhicheng Liu, John T. Stasko, Haesun Park |
| 2012 | SDM | Heterogeneous Data Fusion via Space Alignment Using Nonmetric Multidimensional Scaling. | Jaegul Choo, Shawn Bohn, Grant Nakamura, Amanda M. White, Haesun Park |
| 2010 | SDM | p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics. | Jaegul Choo, Chandan K. Reddy, Hanseung Lee, Haesun Park |
| 2009 | SDM | Hierarchical Linear Discriminant Analysis for Beamforming. | Jaegul Choo, Barry L. Drake, Haesun Park |
| 2008 | ICPR | Linear discriminant analysis for data with subcluster structure. | Haesun Park, Jaegul Choo, Barry L. Drake, Jinwoo Kang |