Announcement

• 대학원 지원을 고려하는 분들은 다음 문서를 참고해주세요: [FAQ] 

• I am looking for self-motivated Postdocs, prospective graduate students, and undergraduate students. If you're interested, send me an email with your full Curriculum Vitae and transcript. 

Courses

• [VIDEO] Spring 2019, COSE111: Math for Computer Science I (Linear Algebra)

• [VIDEO] Spring 2019,  AAA635: Data Mining

• [VIDEO] Spring 2019, DFC609: Big Data Analysis Basics

• [VIDEO] Fall 2018, COSE474: Deep Learning

• [VIDEO] Fall 2018,  AAA625: Numerical Linear Algebra

• [VIDEO] Fall 2018, DFE606: Big Data Analysis Basics

• [VIDEO] Spring 2018, COSE111: Math for Computer Science I (Linear Algebra)

• [VIDEO] Spring 2018, AAA606: Natural Language Processing Applications

• [VIDEO] Spring 2018, DFC609: Big Data Analysis Basics

• [VIDEO] Fall 2017, COSE492: Deep Learning

• [VIDEO] Fall 2017, COSE112: Math for Computer Science II (Probability and Statistics)

• [VIDEO] Fall 2017, CVH109: Big Data and Information Retrieval 

• [VIDEO] Fall 2017, DFE606: Big Data Analysis Basics

• [VIDEO] Spring 2017, COSE111: Math for Computer Science I (Linear Algebra)

• [VIDEO] Spring 2017, AAA638: Visual Analytics

• [VIDEO] Spring 2017, CVH126: Data Science

• [VIDEO] Fall 2016, COSE112: Math for Computer Science II (Probability and Statistics)

• [VIDEO] Fall 2016, AAA625: Numerical Linear Algebra

• [VIDEO] Spring 2016, COSE111: Math for Computer Science I (Linear Algebra)

• Spring 2016, CRE653: Data Mining

• Fall 2015, COSE472: Information Retrieval

• Fall 2015, AAA638: Visual Analytics

• Spring 2015, COSE111: Math for Computer Science I (Linear Algebra)

• Spring 2015, CRE653: Data Mining

Research Interest

• Visual analytics for user-driven machine learning and deep learning

• Deep learning for reading comprehension-based question answering

• Image generation and translation via generative adversarial networks

• Deep learning for program debugging and auto-completion

• Social media analysis and text mining

• Web and user log mining

• Large-scale interactive 2D embedding using t-SNE

• Nonnegative matrix factorization (NMF) for clustering and topic modeling 

Awards

• Best Student Paper Award at ICASSP'23, 2023

• Best Short-Paper Honorable Mention Award at EuroVIS'22, 2022

• Best Short-Paper Honorable Mention Award at SIGIR'22, 2022

• IEEE VIS'20 10-Year Test-of-Time Award for IEEE VAST 2010 Paper 'iVisClassifier: an Interactive Visual Analytics System for Classification Based on Supervised Dimension Reduction,' 2020

• Best Student Paper Award at ICDM'16, 2016

• NAVER Young Faculty Award, 2015

• Outstanding Research Scientist Award at Georgia Tech, 2015

• Best Poster Award at VAST'14, 2014

Selected Publications [Google Scholar]

2024

• 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
  ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024, Accepted (20.1% acceptance rate). 

• Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair
  Jeonghoon Park,* Chaeyeon Chung,* Juyoung Lee, and Jaegul Choo (*: equal contributions)
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024, Accepted. 

• StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
  Jeongho Kim, Gyojung Gu, Minho Park, Sunghyun Park, and Jaegul Choo
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024, Accepted. 

• Self-Supervised Contrastive Forecasting
  Junwoo Park, Daehoon Gwak, Jaegul Choo, and Edward Choi
  International Conference on Learning Representations (ICLR), 2024, Accepted (31% acceptance rate). 

• Expression Domain Translation Network for Cross-domain Head Reenactment
  Taewoong Kang,* Jeongsik Oh,* Jaeseong Lee, Sunghyun Park, and Jaegul Choo (*: equal contributions)
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024, Accepted. 

• MagiCapture: High-Resolution Multi-Concept Portrait Customization
  Junha Hyung,* Jaeyo Shin,* and Jaegul Choo (*: equal contributions)
  AAAI Conference on Artificial Intelligence (AAAI), 2024, Accepted (23.75% acceptance rate). 

• 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, Accepted (23.75% acceptance rate). 

• 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, Accepted (23.75% acceptance rate). 

• 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, Accepted. 

• 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, Accepted. 

2023

• 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, Accepted. 

• 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, Accepted. 

• Towards Formality-Aware Neural Machine Translation by Leveraging Context Information
  Dohee Kim,* Yujin Baek,* Soyoung Yang, and Jaegul Choo  (*: equal contributions)
  Conference on Empirical Methods in Natural Language Processing (EMNLP), Short Paper, Findings of EMNLP, 2023, Accepted. 

• Learning to Discover Skills through Guidance
  Hyunseung Kim,* Byungkun Lee,* Sejik Park, Hojoon Lee, Dongyoon Hwang, Kyushik Min, and Jaegul Choo (*: equal contributions)
  Conference on Neural Information Processing Systems (NeurIPS), 2023 (26.1% acceptance rate). 

• 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 (*: equal contributions)
  Conference on Neural Information Processing Systems (NeurIPS), 2023 (26.1% acceptance rate). 

• 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) at IEEE VIS, 2023. 

• 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), 2023. 

• Learning to Diversify Neural Text Generation via Degenerative Model
  Jimin Hong,* ChaeHun Park,* and Jaegul Choo  (*: equal contributions)
  International Joint Conference on Natural Language Processing and the Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL), Findings Paper, 2023. 

• 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), Full Paper, 2023, Accepted (20.11% acceptance rate). 

• STRAP: A Spatio-Temporal Framework for Real Estate Apprisal
  Hojoon Lee,* Hawon Jeong,* Byungkun Lee,* Kyungyup Daniel Lee, and Jaegul Choo (*: equal contributions)
  ACM International Conference on Information and Knowledge Management (CIKM), Short Paper, 2023, Accepted (27.44% acceptance rate). 

• 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, Accepted (24.05% acceptance rate). 

• 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 (*: equal contributions)
  International Conference on Computer Vision (ICCV), 2023, Accepted. 

• Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis
  Minho Park,* Jooyeol Yun,* Seunghwan Choi, and Jaegul Choo (*: equal contributions)
  International Conference on Computer Vision (ICCV), 2023, Accepted. 

• 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, Accepted. 

• 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, Accepted. 

• 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, Accepted. 

• CAFA: Class-aware Feature Alignment for Test-time Adaptaion
  Sanghun Jung, Jungsoo Lee, Nanhee Kim, Amirreza Shaban, Byron Boots, and Jaegul Choo
  International Conference on Computer Vision (ICCV), 2023, Accepted. 

• 3D-Aware Generative Model for Improved Side-View Image Synthesis
  Kyungmin Jo,* Wonjoon Jin,* Jaegul Choo, Hyunjoon Lee, and Sunghyun Cho (*: equal contributions)
  International Conference on Computer Vision (ICCV), 2023, Accepted. 

• 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 for oral-presentation papers). 

• 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).

• 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).

• 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.

• Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints
  Yujin Baek,* Koanho Lee,* Dayeon Ki, Hyoung-Gyu Lee, Cheonbok Park, and Jaegul Choo (*: equal contributions)
  Annual Meeting of the Association for Computational Linguistics (ACL), Findings of ACL, 2023. 

• DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation
  ChaeHun Park, Seungil Chad Lee, Daniel Rim, and Jaegul Choo
  Annual Meeting of the Association for Computational Linguistics (ACL), Findings of ACL, 2023. 

• 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 (*: equal contributions)
  Advanced Intelligent Systems, 2023.

• 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).

• Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rays
  Daeun Kyung,* Kyungmin Jo,* Jaegul Choo, Joonseok Lee, and Edward Choi (*: equal contributions)
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023, Best Student Paper Award. 

• Local 3D Editing via 3D Distillation of CLIP Knowledge
  Junha Hyung, Sungwon Hwang, Daejin Kim, Hyunji Lee, and Jaegul Choo
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023, Accepted (25.78% acceptance rate). 

• PePe: Personalized Post-editing Model Utilizing User-generated Post-edits
  Jihyeon Lee,* TaeHee Kim,* Yunwon Tae,* Cheonbok Park, and Jaegul Choo (*: equal contributions)
  Conference of the European Chapter of the Association for Computational Linguistics (EACL), Findings of EACL, 2023. 

• 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). 

• Revisiting the Importance of Amplifying Bias for Debiasing
  Jungsoo Lee,* Jeonghoon Park,* Daeyoung Kim,* Juyoung Lee, Edward Choi, and Jaegul Choo (*: equal contributions)
  AAAI Conference on Artificial Intelligence (AAAI), 2023 (19.6% acceptance rate). 

• 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 (*: equal contributions)
  Winter Conference on Applications of Computer Vision (WACV), 2023. 

• 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. 

• CG-NeRF: Conditional Generative Neural Radiance Fields for 3D-aware Image Synthesis
  Kyungmin Jo,* GyuMin Shim,* Sanghun Jung, Soyoung Yang, and Jaegul Choo (*: equal contributions)
  Winter Conference on Applications of Computer Vision (WACV), 2023. 

• iColoriT: Towards Propagating Local Hints to the Right Region in Interactive Colorization by Leveraging Vision Transformer
  Jooyeol Yun,* Sanghyeon Lee,* Minho Park,* and Jaegul Choo (*: equal contributions)
  Winter Conference on Applications of Computer Vision (WACV), 2023. 

2022

• Rethinking Style Transformer by 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, and Jaegul Choo
  Conference on Empirical Methods in Natural Language Processing (EMNLP), Long Paper, 2022. 

• 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. 

• WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting
  Youngin Cho,* Daejin Kim,* Dongmin Kim, Mohammad Azam Khan, and Jaegul Choo  (*: equal contributions)
  Conference on Neural Information Processing Systems (NeurIPS), 2022 (25.6% acceptance rate). 

• Mining Multi-Label Samples from Single Positive Labels
  Youngin Cho,* Daejin Kim,* Mohammad Azam Khan, and Jaegul Choo (*: equal contributions)
  Conference on Neural Information Processing Systems (NeurIPS), 2022 (25.6% acceptance rate). 

• 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. 

• Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity
  TaeHee Kim,* ChaeHun Park,* Jimin Hong, Radhika Dua, Edward Choi, and Jaegul Choo (*: equal contributions)
  International Conference on Computational Linguistics (COLING), 2022. 

• Residual Correction in Real-Time Traffic Forecasting
  Daejin Kim,* Youngin Cho,* Dongmin Kim, Cheonbok Park, and Jaegul Choo (*: equal contributions)
  ACM International Conference on Information and Knowledge Management (CIKM), 2022. 

• A Visual Analytics System for Improving Attention-based Traffic Forecasting Models
  Seungmin Jin, Hyunwook Lee, Cheonbok Park, Hyeshin Chu, Yunwon Tae, Jaegul Choo, and Sungahn Ko
  IEEE Trans. on Visualization and Computer Graphics (TVCG), 2023 (Proc. IEEE VIS'22) (26.5% acceptance rate). 

• AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment
  Kangyeol Kim,* Sunghyun Park,* Jaeseong Lee,* Sunghyo Chung, Junsoo Lee, and Jaegul Choo (*: equal contributions)
  European Conference on Computer Vision (ECCV), 2022 (28.4% acceptance rate). 

• 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 (*: equal contributions)
  European Conference on Computer Vision (ECCV), 2022 (28.4% acceptance rate). 

• High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions
  SangYun Lee,* Gyojung Gu,* Sunghyun Park, Seunghwan Choi, and Jaegul Choo (*: equal contributions)
  European Conference on Computer Vision (ECCV), 2022 (28.4% acceptance rate). 

• Towards Accurate Open-Set Recognition via Background-Class Regularization
  Wonwoo Cho and Jaegul Choo
  European Conference on Computer Vision (ECCV), 2022 (28.4% acceptance rate). 

• ReFu: Refine and Fuse the Unobserved View for Detail-Preserving Single-Image 3D Human Reconstruction
  Gyumin Shim,* Minsoo Lee,* and Jaegul Choo (*: equal contributions)
  ACM International Conference on Multimedia (MM), 2022 (27.9% acceptance rate). 

• 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 (*: equal contributions)
  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022 (13% first-round provisional acceptance rate). 

• 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. 

• 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, Best Short-Paper Honorable Mention Award. 

• Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems
  Hojoon Lee, Dongyoon Hwang, Kyushik Min, and Jaegul Choo
  ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Short Paper, 2022, Best Short-Paper Honorable Mention Award (0.3% acceptance rate). 

• DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games
  Hojoon Lee,* Dongyoon Hwang,* Hyunseung Kim, Byungkun Lee, and Jaegul Choo (*: equal contributions)
  The Web Conference (WWW), 2022. 

• 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 (*: equal contributions)
  International Conference on Learning Representations (ICLR), 2022 (32.3% acceptance rate). 

• 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). 

2021

• 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 (*: equal contributions)
  British Machine Vision Conference (BMVC), 2021, Accepted as Oral Presentation (3.3% acceptance rate for oral-presentation papers). 

• Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children
  Jungsoo Lee,* Jooyeol Yun,* Sunghyun Park, Yonggyu Kim, and Jaegul Choo (*: equal contributions)
  British Machine Vision Conference (BMVC), 2021 (36.2% acceptance rate). 

• 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 (*: equal contributions)
  British Machine Vision Conference (BMVC), 2021 (36.2% acceptance rate). 

• Missing Value Imputation of Time-Series Air-Quality Data via Deep Neural Networks
  Taesung Kim, Jinhee Kim, Wonho Yang, Hunjoo Lee, and Jaegul Choo
  International Journal of Environmental Research and Public Health (IJERPH), 2021. 

• Learning Debiased Representation via Disentangled Feature Augmentation
  Jungsoo Lee,* Eungyeup Kim,* Juyoung Lee, Jihyeon Lee, and Jaegul Choo (*: equal contributions)
  Conference on Neural Information Processing Systems (NeurIPS), 2021, Accepted as Oral Presentation (<1% acceptance rate for oral-presentation papers). 

• 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). 

• AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain
  Jimin Hong,* TaeHee Kim,* Hyesu Lim,* and Jaegul Choo (*: equal contributions)
  Conference on Empirical Methods in Natural Language Processing (EMNLP), Short Paper, 2021. 

• 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. 

• 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 (*: equal contributions)
  International Conference on Computer Vision (ICCV), 2021, Accepted as Oral Presentation (3% acceptance rate). 

• Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects
  Eungyeup Kim,* Sanghyeon Lee,* Jeonghoon Park,* So Mi Choi, Choonghyun Seo, and Jaegul Choo (*: equal contributions)
  International Conference on Computer Vision (ICCV), 2021, Accepted as Oral Presentation (3% acceptance rate). 

• BiaSwap: Removing Dataset Bias with Bias-Tailored Swapping Augmentation
  Eungyeup Kim,* Jihyeon Lee,* and Jaegul Choo (*: equal contributions)
  International Conference on Computer Vision (ICCV), 2021 (25.9% acceptance rate). 

• 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 (*: equal contributions)
  ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), 2021.   

• Prediction of Hand-Wrist Maturation Stages based on Cervical Vertebrae Images using Artificial Intelligence
  Dong-Wook Kim,* Jinhee Kim,* Taesung Kim, Taewoo Kim, Yoon-Ji Kim, In-Seok Song, Byungduk Ahn, Jaegul Choo, and Dong-Yul Lee (*: equal contributions)
  Orthodontics & Craniofacial Research, 2021.
  [PDF] 

• 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] [INTRO_TALK] 

• 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  (*: equal contributions)
  IEEE International Conference on Image Processing (ICIP), 2021.
  [PROJECT] [PDF] 

• Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning
  Cheonbok Park,* Yunwon Tae,* TaeHee Kim, Soyoung Yang, Mohammad Azam Khan, Lucy Park, and Jaegul Choo (*: equal contributions)
  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] 

• Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images
  Nyoungwoo Lee,* Suwon Shin,* Jaegul Choo, Ho-Jin Choi, and Sung-Hyon Myaeng (*: equal contributions)
  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.
  [PROJECT] [PDF] 

• 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] 

• 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 (*: equal contributions)
  EG/VGTC Conference on Visualization (EuroVis), Short Paper, 2021.
  [PDF] [DEMO] [TALK] 

• 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 (*: equal contributions)
  Scientific Reports, 2021. 
  [PDF] 

• 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, and YoungBin Kim
  Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021.
  [PDF] 

• 3D Cell Instance Segmentation via Point Proposals using Cellular Components
  Jinho Choi, Junwoo Park, Hyungjoo Cho, Hyeonseok Min, Sungbin Lim, and Jaegul Choo
  Proc. SPIE 11647, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XIX
  [PDF] 

• 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 (*: equal contributions)
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, Accepted as Oral Presentation (4.7% acceptance rate).
  [PDF] [TALK] [CODE]

• VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization
  Seunghwan Choi,* Sunghyun Park,* Minsoo Lee,* and Jaegul Choo (*: equal contributions)
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 (27% acceptance rate).
  [PDF] [DEMO] [CODE]

• Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction
  Daejin Kim, Mohammad Azam Khan, and Jaegul Choo
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 (27% acceptance rate).
  [PDF]

• 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]

• 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]

• 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 (*: equal contributions)
  Surgical Endoscopy, 2021 (IF: 3.149, as of 2019).
  [PDF]

• 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 (*: equal contributions)
  AAAI Conference on Artificial Intelligence (AAAI), 2021 (21.4% acceptance rate).
  [PDF] [CODE]

2020

• 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 (*: equal contributions)
  International Conference on Pattern Recognition (ICPR), 2020.
  [PDF]

• HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks
  Heungseok Park, Yoonsoo Nam, Ji-Hoon Kim, and Jaegul Choo
  IEEE Trans. on Visualization and Computer Graphics (TVCG), 2021 (Proc. IEEE VIS'20) (24.8% acceptance rate).
  [PROJECT] [PDF]

• Multimodal Image Translation with Stochastic Style Representations and Mutual Information Loss
  Sanghyeon Na, Seungjoo Yoo, and Jaegul Choo
  British Machine Vision Conference (BMVC), 2020, Accepted as Oral Presentation (5.0% acceptance rate for oral-presentation papers).
  [PDF] 

• 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, and Jaegul Choo
  ACM International Conference on Information and Knowledge Management (CIKM), 2020 (20.9% acceptance rate).
  [PDF] 

• 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] [CODE] [TALK] 

• 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 (*: equal contributions)
  Neural Networks (IF: 5.875, as of 2018), 2020.
  [PDF] 

• 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 Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Seattle, WA (22.1% acceptance rate).
  [PDF] [INTRO_VIDEO] [CODE] 

• 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 Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Seattle, WA (22.1% acceptance rate).
  [PDF] 

• Exploring Unlabeled Faces for Novel Attribute Discovery
  Hyojin Bahng, Sunghyo Chung, Seungjoo Yoo, and Jaegul Choo
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Seattle, WA (22.1% acceptance rate).
  [PDF] 

• 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, Addis Ababa, Ethiopia (26.5% acceptance rate).
  [PDF]

• 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

• NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions
  Fuxiang Chen, Seung-won Hwang, Jaegul Choo, Jung-Woo Ha, and Sunghun Kim
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019, Hong Kong, Accepted as Long Paper (23.8% acceptance rate).
  [PDF]

• 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, Beijing, China, Accepted as Full Paper (19% acceptance rate).
  [PDF]

• 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, Vancouver, Canada (31.7% acceptance rate).
  [PDF] [YOUTUBE] 

• 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, Cardiff, UK, Accepted as Spotlight Presentation (6.9% acceptance rate for spotlight papers).
  [PDF] [SLIDE] 

• 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] 

• Image-to-Image Translation via Group-wise Deep Whitening and Coloring
  Wonwoong Cho, Sungha Choi, David Park, Inkyu Shin, and Jaegul Choo
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Long Beach, CA, Accepted as Oral Presentation (5.5% acceptance rate for oral-presentation papers).
  [PDF] [TALK]

• 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 Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Long Beach, CA (25.2% acceptance rate).
  [PROJECT] [PDF]

• Visualizing for the Non-Visual: Deep Learning to Enable Visually Impaired to Use Visualization
  Jinho Choi, SangHun Jung, Deokgun Park, Jaegul Choo, and Niklas Elmqvist
  Computer Graphics Forum (CGF), 2019  (Proc. EuroVis'19), Porto, Portugal.
  [PDF] [BLOG ARTICLE]

• 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, Glasgow, UK (23.8% acceptance rate).
  [PDF] [INTRO_VIDEO] [VIDEO]

• 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, Honolulu, HI (16.2% acceptance rate).
  [PDF] 

2018

• 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, Brussels, Belgium, Long paper.
  [PDF]

• 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]

• 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 (*: equal contributions)
  European Conference on Computer Vision (ECCV), 2018, Munich, Germany (31.8% acceptance rate).
  [PDF] [CODE]

• 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 Trans. on Visualization and Computer Graphics (TVCG), 2019 (Proc. IEEE VIS'18) (25.6% acceptance rate).
  [PDF] [VIDEO] [WEBSITE]

• 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, Stockholm, Sweden (20.5% acceptance rate).
  [PDF]

• MMGAN: Manifold-Matching Generative Adversarial Networks
  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, Beijing, China.
  [PDF]

• Visual Analytics for Explainable Deep Learning
  Jaegul Choo and Shixia Liu
  IEEE Computer Graphics and Applications (CG&A), Vol. 38, No. 4, pp. 84-92, Jul./Aug. 2018.
  [PDF]

• 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 Conference on Computer Vision and Pattern Recognition (CVPR), 2018, Salt Lake City, UT, Oral Presentation (2.1% acceptance rate for oral-presentation papers).
  [PDF] [CODE] [VIDEO]

• 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), 2018  (Proc. EuroVis'18), Brno, Czech Republic (29% acceptance rate).
  [PDF] [INTRO_VIDEO] [CODE]

• 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, Lyon, France (15% acceptance rate).
  [PDF]

• 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, Montréal, Canada (25.7% acceptance rate). 
  [PDF] [INTRO_VIDEO] [VIDEO]

• 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), Vol. 12, No. 8, pp. 1-20, 2018
  [PDF] [VIDEO]

• 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 Trans. on Visualization and Computer Graphics (TVCG), Vol. 24, No. 1, pp. 361-370, 2018 (Proc. IEEE VIS'17) (21% acceptance rate).
  [PDF] [YOUTUBE] [TALK] [DEMO]

• 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), Vol. 56, No. 3, pp. 503-531, 2018
  [PDF]

2017

• Consistent Comic Colorization with Pixel-wise Background Classification
  Sungmin Kang, Jaegul Choo, and Jaehyuk Chang
  NIPS'17 Workshop on Machine Learning for Creativity and Design, 2017
  [PDF]

• 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), 2017
  [PDF]

• 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, New Orleans, LA (9.2% acceptance rate for regular papers).
  [PDF]

• 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), Vol. 19, No. 8: e272, 2017
  [PDF]

• 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, Melbourne, Australia, Invited to Best Sister Conferences Paper Track as the ICDM'16 Best Student Paper.
  [PDF]

• 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, Melbourne, Australia (26% acceptance rate)
  [PDF]

• 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, Vol. 12, No. 5, pp. 1598-1621, 2017
  [PDF]

• 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, and Haesun Park
  AAAI Conference on Artificial Intelligence (AAAI), 2017, San Francisco, CA (25% acceptance rate)
  [PDF] [VIDEO]

• TopicLens: Efficient Multi-Level Visual Topic Exploration of Large-Scale Document Collections
  Minjeong Kim, Kyeongpil Kang, Deokgun Park, Jaegul Choo, and Niklas Elmqvist
  IEEE Trans. on Visualization and Computer Graphics (TVCG), Vol. 23, No. 1, pp. 151-160, 2017 (Proc. IEEE VIS'16) (21% acceptance rate)
  [PDF] [VIDEO] [TALK]

• 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 Trans. on Visualization and Computer Graphics (TVCG), Vol. 23, No. 1, pp. 221-230, 2017 (Proc. IEEE VIS'16) (21% acceptance rate)
  [PDF] [VIDEO] [TALK]

• High-Recall Document Retrieval from Large-Scale Noisy Documents via Visual Analytics based on Targeted Topic Modeling
  Hannah Kim, Jaegul Choo, Alex Endert, and Haesun Park
  IEEE Conference on Visual Analytics Science and Technology (VAST), 2017, Phoenix, AZ (Poster paper)
  [PDF] [VIDEO]

2016

• 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, Barcelona, Spain (8.5% acceptance rate for regular papers), BEST STUDENT PAPER AWARD
  [PDF] [SLIDE] [CODE]

• 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), Vol. 63, pp. 212-225, 2016
  [PDF]

• InterAxis: Steering Scatterplot Axes via Observation-Level Interaction
  Hannah Kim, Jaegul Choo, Haesun Park, and Alex Endert
  IEEE Trans. on Visualization and Computer Graphics (TVCG), Vol. 22, No. 1, pp. 131-140, 2016 (Proc. IEEE VIS'15) (22% acceptance rate)
  [PDF] [SLIDE] [INTRO_VIDEO] [VIDEO]

• 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 Trans. on Visualization and Computer Graphics (TVCG), Vol. 22, No. 1, pp. 71-80, 2016  (Proc. IEEE VIS'15) (22% acceptance rate)
  [PDF] [INTRO_VIDEO] [VIDEO]

• ReVACNN: Real-Time Visual Analytics for  Convolutional Neural Network
  Sunghyo Chung, Sangho Suh, Cheonbok Park, Kyeongpil Kang, Jaegul Choo, and Bum Chul Kwon
  ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (KDD-IDEA), 2016, San Francisco, CA
  [PDF]

• Tile-based Spatio-Temporal Visual Analytics via Topic Modeling on Social Media
  Minsuk Choi, Jaeseong Yoo, Ashley S. Beavers, Scott Langevin, Chris Bethune, Sean McIntyre, Barry L. Drake, Jaegul Choo, and Haesun Park
  IEEE Conference on Visual Analytics Science and Technology (VAST), 2016, Baltimore, MD (Poster paper)
  [PDF]

2015

• 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), Vol. 29, No. 6, pp. 1598-1621, 2015
  [PDF]

• 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, Vol. 150, Part B, No. 12, pp. 570-582, 2015
  [PDF]

• 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, Sydney, Australia (19% acceptance rate)
  [PDF] [SLIDE]

• 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, Oxford, UK (19% acceptance rate)
  [PDF]

• 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, Chicago, Il
  [PDF] [YOUTUBE]

• Nonnegative Matrix Factorization for Interactive Topic Modeling and Document Clustering
  Da Kuang, Jaegul Choo, and Haesun Park
  Partitional Clustering Algorithms, pp. 215-243, Springer, 2015 (Book chapter)
  [PDF]

• Opinion Marks: A Human-based Computation Approach to Instill Structure into Unstructured Text on the Web
  Bum Chul Kwon, Jaegul Choo, Sung-Hee Kim, Daniel Keim, Haesun Park, and Ji Soo Yi
  ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (KDD-IDEA), 2015, Sydney, Australia
  [PDF]

2014

• 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, Seoul, Korea
  [PDF] [SLIDE]

• 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, New York, NY
  [PDF] [SLIDE]

• PIVE: Per-Iteration Visualization Environment for Supporting Real-Time Interactions with Computational Methods
  Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Barry L. Drake, and Haesun Park
  IEEE Conference on Visual Analytics Science and Technology (VAST), 2014, Paris, France (Poster paper), BEST POSTER AWARD
  [PDF] [INTRO_VIDEO] [VIDEO]

• VisIRR: Visual Analytics for Information Retrieval and Recommendation for Large-Scale Document Data
  Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Zhicheng Liu, Ramakrishnan Kannan, Charles D. Stolper, John Stasko, Barry L. Drake, and Haesun Park
  IEEE Conference on Visual Analytics Science and Technology (VAST), 2014, Paris, France (Poster paper
  [PDF] [INTRO_VIDEO] [VIDEO]

• Exploring Anomalies in GAStech: VAST Mini Challenge 1 and 2
  Jaegul Choo, Yi Han, Mengdie Hu, Hannah Kim, James Nugent, Francesco Poggi, Haesun Park, and John Stasko
  IEEE Conference on Visual Analytics Science and Technology Challenge (VAST Challenge), 2014, Paris, France (Poster paper)
  [PDF] [MC1_VIDEO] [MC2_VIDEO]

• Visual Analytics for Interactive Exploration of Large-Scale Document Data via Nonnegative Matrix Factorization
  Jaegul Choo, Barry L. Drake, and Haesun Park
  BigData Innovators Gathering (BIG), 2014, Seoul, Korea (Demo paper)
  [PDF]

2013

• UTOPIAN: User-driven Topic Modeling based on Interactive Nonnegative Matrix Factorization
  Jaegul Choo, Changhyun Lee, Chandan K. Reddy, and Haesun Park
  IEEE Trans. on Visualization and Computer Graphics (TVCG), Vol. 19, No. 12, pp. 1992-2001, 2013 (Proc. IEEE VIS'13)
  [PDF] [SLIDE] [YOUTUBE]

• Customizing Computational Methods for Visual Analytics with Big Data
  Jaegul Choo and Haesun Park
  IEEE Computer Graphics and Applications (CG&A), Vol. 33, Issue 4, pp. 22-28, 2013
  [PDF]

• 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 Trans. on Visualization and Computer Graphics (TVCG), Vol. 19, No. 10, pp. 1646-1663, 2013
  [PDF] [VIDEO]

• 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
  Proc. SPIE 8654, Visualization and Data Analysis (VDA), 2013, Burlingame, CA
  [PDF] [VIDEO] [WEBSITE]

• Fast Interactive Visualization for Multivariate Data Exploration
  Changhyun Lee, Wei Zhuo, Jaegul Choo, Duen Horng (Polo) Chau, and Haesun Park
  ACM SIGCHI Work-in-progress (CHI-WIP), 2013, Paris, France
  [PDF]

• Augmenting MATLAB with Semantic Objects for an Interactive Visual Environment
  Changhyun Lee, Jaegul Choo, Haesun Park, and Duen Horng (Polo) Chau
  ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (KDD-IDEA), 2013, Chicago, IL
  [PDF]

• Lytic: Synthesizing High-Dimensional Algorithmic Analysis with Domain-Agnostic, Faceted Visual Analytics
  Edward Clarkson, Jaegul Choo, John Turgeson, Ray Decuir, and Haesun Park
  ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (KDD-IDEA), 2013, Chicago, IL
  [PDF]

• CiteVis: Exploring Conference Paper Citation Data Visually
  John Stasko, Jaegul Choo, Yi Han, Mengdie Hu, Hannah Pileggi, Ramik Sadana, and Charles D. Stolper
  IEEE Conference on Information Visualization (InfoVis), 2013, Atlanta, GA (Poster paper)
  [PDF] [WEBSITE]

• Augmenting MATLAB with Semantic Objects for an Interactive Visual Environment
  Changhyun Lee, Jaegul Choo, Haesun Park, and Duen Horng (Polo) Chau
  IEEE International Conference on Data Mining (ICDM), 2013, Dallas, TX (Demo paper)
  [PDF]

2012

• 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, Anaheim, CA
  [PDF]

• 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), Vol. 31, Issue 3pt3, pp. 1155-1164, 2012  (Proc. EuroVis'12)
  [PDF] [VIDEO]

2011

• A Visual Analytics Approach for Protein Disorder Prediction
  Jaegul Choo, Fuxin Li, and Haesun Park
  Expanding the Frontiers of Visual Analytics and Visualization, pp. 163-174, Springer, 2011 (Book chapter)
  [PDF]

2010

• 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, Columbus, OH
  [PDF]

• 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, Salt Lake City, UT
  [PDF]

• Data Ingestion and Evidence Marshalling in Jigsaw
  Zhicheng Liu, Carsten Görg, Jaeyeon Kihm, Hanseung Lee, Jaegul Choo, Haesun Park, and John Stasko
  IEEE Conference on Visual Analytics Science and Technology Challenge (VAST Challenge), 2010, Salt Lake City, UT  (Poster paper)
  [PDF]

• GeneTracer: Gene Sequence Analysis of Disease Mutations
  Hanseung Lee, Jaegul Choo, Carsten Görg, Jaeeun Shim, Jaeyeon Kihm, Zhicheng Liu, Haesun Park, and John Stasko
  IEEE Conference on Visual Analytics Science and Technology Challenge (VAST Challenge), 2010, Salt Lake City, UT (Poster paper)
  [PDF]

• Combining Computational Analyses and Interactive Visualization to Enhance Information Retrieval
  Carsten Görg, Jaeyeon Kihm, Jaegul Choo, Zhicheng Liu, Sivasailam Muthiah, Haesun Park, and John Stasko
  4th Workshop on Human-Computer Interaction and Information Retrieval (HCIR), 2010, New Brunswick, NJ
  [PDF]

2009

• Hierarchical Linear Discriminant Analysis for Beamforming
  Jaegul Choo, Barry L. Drake, and Haesun Park
  SIAM International Conference on Data Mining (SDM), 2009, Sparks, NV
  [PDF]

• 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, Atlantic City, NJ
  [PDF]

• Timeline analysis of undercover activities
  Jaegul Choo, Emily Fujimoto, Hanseung Lee, and Pedro R. Walteros
  IEEE Conference on Visual Analytics Science and Technology Challenge (VAST Challenge), 2009, Atlantic City, NJ (Poster paper)
  [PDF]

2008

• 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, Tampa, FL
  [PDF]

2007

• 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, Fremont, CA
  [PDF]