Jaegul Choo (주재걸) [Short Bio] [CV]
Associate Professor and KAIST-Endowed Chair Professor
Kim Jaechul Graduate School of Artificial Intelligence, KAIST
Office Address: 8 Seongnam-daero 331 beon-gil, KINS Tower, Suite 1801, Bundang-gu, Seongnam-si, Gyeonggi 13558, South Korea
Office Phone No.: +82-42-350-1813
E-mail: jchoo@kaist.ac.kr
Meeting Request: Schedule a meeting
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
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]
2025
Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration
Yujin Baek,* ChaeHun Park,* Jaeseok Kim, Yu-Jung Heo, Du-Seong Chang, and Jaegul Choo (*: equal contributions)
Annual Meeting of the Association for Computational Linguistics (ACL), Long Paper, 2025, Accepted.
Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport
Minseok Choi, Daniel Rim, Dohyun Lee, and Jaegul Choo
Annual Meeting of the Association for Computational Linguistics (ACL), Long Paper, 2025, Accepted.
Revisiting LLMs as Zero-Shot Time Series Forecasters: Small Noise Can Break Large Models
Junwoo Park, Hyuck Lee, Dohyun Lee, Daehoon Gwak, and Jaegul Choo
Annual Meeting of the Association for Computational Linguistics (ACL), Short Paper, 2025, Accepted.
Exploring In-context Example Generation for Machine Translation
Dohyun Lee, Seungil Chad Lee, Chanwoo Yang, Yujin Baek, and Jaegul Choo
Annual Meeting of the Association for Computational Linguistics (ACL), Findings Paper, 2025, Accepted.
To Chat or Task: a Multi-turn Dialogue Generation Framework for Task-Oriented Dialogue Systems
Daniel Rim, Minsoo cho, Changwoo Chun, and Jaegul Choo
Annual Meeting of the Association for Computational Linguistics (ACL), Industry Track, 2025, Accepted as Oral Presentation.
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hojoon Lee,* Youngdo Lee,* Takuma Seno, Donghu Kim, Peter Stone, and Jaegul Choo (*: equal contributions)
International Conference on Machine Learning (ICML), 2025, Accepted as Spotlight Presentation (2.6% acceptance rate for spotlight papers).
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 Conference on Computer Vision and Pattern Recognition (CVPR), 2025, Accepted.
Zero-Shot Head Swapping in Real-World Scenarios
Sohyun Jeong, Taewoong Kang, Hyojin Jang, and Jaegul Choo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025, Accepted.
Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling
Junha Hyung, Kinam Kim, Susung Hong, Min-Jung Kim, and Jaegul Choo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025, Accepted.
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, Accepted.
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, Accepted (32.08% acceptance rate).
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, Accepted (32.08% acceptance rate).
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), 2025, Accepted as Spotlight Presentation (5.1% acceptance rate for spotlight papers).
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, Accepted (23.40% acceptance rate).
Enabling Region-Specific Control via Lassos in Point-Based Colorization
Sanghyeon Lee, Jooyeol Yun, and Jaegul Choo
AAAI Conference on Artificial Intelligence (AAAI), 2025, Accepted (23.40% acceptance rate).
Disentangling Subject-Irrelevant Elements 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, Accepted.
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, , Accepted as Oral Presentation.
2024
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models
Jinhee Kim,* Taesung Kim,* and Jaegul Choo (*: equal contributions)
Conference on Neural Information Processing Systems (NeurIPS), 2024 (25.8% acceptance rate).
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).
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).
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 (*: equal contributions)
Conference on Neural Information Processing Systems (NeurIPS), 2024 (25.8% acceptance rate).
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, Accepted.
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 (*: equal contributions)
Conference on Empirical Methods in Natural Language Processing (EMNLP), Findings of EMNLP, 2024, Accepted.
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).
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).
Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation through Collaborative Error Revision
Jinhee Kim,* Taesung Kim,* and Jaegul Choo (*: equal contributions)
European Conference on Computer Vision (ECCV), 2024 (27.9% acceptance rate).
TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models
Jeongho Kim,* Min-Jung Kim,* Junsoo Lee, and Jaegul Choo (*: equal contributions)
European Conference on Computer Vision (ECCV), 2024 (27.9% acceptance rate).
SelfSwapper: Self-Supervised Face Swapping via Shape-Agnostic Masked AutoEncoder
Jaeseong Lee,* Junha Hyung,* Sohyun Jeong, and Jaegul Choo (*: equal contributions)
European Conference on Computer Vision (ECCV), 2024 (27.9% acceptance rate).
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 (*: equal contributions)
European Conference on Computer Vision (ECCV), 2024 (27.9% acceptance rate).
Scaling Up Personalized Image Aesthetic Assessment via Task Vector Arithmetic
Jooyeol Yun, and Jaegul Choo
European Conference on Computer Vision (ECCV), 2024 (27.9% acceptance rate).
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).
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 (*: equal contributions)
Nano Today, 2024 (IF: 13.2, as of 2023).
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
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.
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.
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.
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control
Dongyoon Hwang,* Byungkun Lee,* Hojoon Lee, Hyunseung Kim, and Jaegul Choo (*: equal contributions)
International Conference on Machine Learning (ICML), 2024 (27.54% acceptance rate).
Investigating Pre-Training Objectives for Generalization in Visual Reinforcement Learning
Donghu Kim,* Hojoon Lee,* Kyungmin Lee,* Dongyoon Hwang, and Jaegul Choo (*: equal contributions)
International Conference on Machine Learning (ICML), 2024 (27.54% acceptance rate).
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).
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), Best Paper Honorable Mention Award.
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