Jaegul Choo

Orcid: 0000-0003-1071-4835

According to our database1, Jaegul Choo authored at least 206 papers between 2007 and 2024.

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Bibliography

2024
See, caption, cluster: Large-scale image analysis using captioning and topic modeling.
Expert Syst. Appl., March, 2024

SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder.
CoRR, 2024

Self-Supervised Contrastive Forecasting.
CoRR, 2024

Slice and Conquer: A Planar-to-3D Framework for Efficient Interactive Segmentation of Volumetric Images.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

LensNeRF: Rethinking Volume Rendering based on Thin-Lens Camera Model.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

MagiCapture: High-Resolution Multi-Concept Portrait Customization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Explainable Artificial Intelligence Approach to Identify the Origin of Phonon-Assisted Emission in WSe<sub>2</sub> Monolayer.
Adv. Intell. Syst., July, 2023

Editorial: Guest Editors' Introduction: Special Section on IEEE PacificVis 2023.
IEEE Trans. Vis. Comput. Graph., June, 2023

Spelling Errors in Korean Students' Constructed Responses and the Efficacy of Automatic Spelling Correction on Automated Computer Scoring.
Technol. Knowl. Learn., March, 2023

A Visual Analytics System for Improving Attention-based Traffic Forecasting Models.
IEEE Trans. Vis. Comput. Graph., 2023

StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On.
CoRR, 2023

Expression Domain Translation Network for Cross-domain Head Reenactment.
CoRR, 2023

HPCClusterScape: Increasing Transparency and Efficiency of Shared High-Performance Computing Clusters for Large-scale AI Models.
CoRR, 2023

SideGAN: 3D-Aware Generative Model for Improved Side-View Image Synthesis.
CoRR, 2023

Text2Control3D: Controllable 3D Avatar Generation in Neural Radiance Fields using Geometry-Guided Text-to-Image Diffusion Model.
CoRR, 2023

PixelHuman: Animatable Neural Radiance Fields from Few Images.
CoRR, 2023

Enhancing Generalization and Plasticity for Sample Efficient Reinforcement Learning.
CoRR, 2023

Reference-based Image Composition with Sketch via Structure-aware Diffusion Model.
CoRR, 2023

Improving Scene Text Recognition for Character-Level Long-Tailed Distribution.
CoRR, 2023

RobustSwap: A Simple yet Robust Face Swapping Model against Attribute Leakage.
CoRR, 2023

iColoriT: Towards Propagating Local Hints to the Right Region in Interactive Colorization by Leveraging Vision Transformer.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

CG-NeRF: Conditional Generative Neural Radiance Fields for 3D-aware Image Synthesis.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Training Auxiliary Prototypical Classifiers for Explainable Anomaly Detection in Medical Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Towards Physically Reliable Molecular Representation Learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Deep Imbalanced Time-Series Forecasting via Local Discrepancy Density.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Pre-training Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Discover Skills through Guidance.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Diversify Neural Text Generation via Degenerative Model.
Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration.
Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CAFA: Class-Aware Feature Alignment for Test-Time Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

3D-Aware Generative Model for Improved Side-View Image Synthesis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Shortcut-V2V: Compression Framework for Video-to-Video Translation based on Temporal Redundancy Reduction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Perspective Projection-Based 3d CT Reconstruction from Biplanar X-Rays.
Proceedings of the IEEE International Conference on Acoustics, 2023

FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

AniEE: A Dataset of Animal Experimental Literature for Event Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Towards Formality-Aware Neural Machine Translation by Leveraging Context Information.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SimCKP: Simple Contrastive Learning of Keyphrase Representations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

PePe: Personalized Post-editing Model utilizing User-generated Post-edits.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Local 3D Editing via 3D Distillation of CLIP Knowledge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

HistRED: A Historical Document-Level Relation Extraction Dataset.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Revisiting the Importance of Amplifying Bias for Debiasing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
iColoriT: Towards Propagating Local Hint to the Right Region in Interactive Colorization by Leveraging Vision Transformer.
CoRR, 2022

DebiasBench: Benchmark for Fair Comparison of Debiasing in Image Classification.
CoRR, 2022

CAFA: Class-Aware Feature Alignment for Test-Time Adaptation.
CoRR, 2022

BiasEnsemble: Revisiting the Importance of Amplifying Bias for Debiasing.
CoRR, 2022

3D-GIF: 3D-Controllable Object Generation via Implicit Factorized Representations.
CoRR, 2022

DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation.
Proceedings of the 24th Eurographics Conference on Visualization, 2022

Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

PASTA: PArallel Spatio-Temporal Attention with Spatial Auto-Correlation Gating for Fine-Grained Crowd Flow Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Mining Multi-Label Samples from Single Positive Labels.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ReFu: Refine and Fuse the Unobserved View for Detail-Preserving Single-Image 3D Human Reconstruction.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Morphology-Aware Interactive Keypoint Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions.
Proceedings of the Computer Vision - ECCV 2022, 2022

AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment.
Proceedings of the Computer Vision - ECCV 2022, 2022

Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment.
Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Accurate Open-Set Recognition via Background-Class Regularization.
Proceedings of the Computer Vision - ECCV 2022, 2022

Reweighting Strategy Based on Synthetic Data Identification for Sentence Similarity.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Residual Correction in Real-Time Traffic Forecasting.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Enemy Spotted: In-game Gun Sound Dataset for Gunshot Classification and Localization.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021
HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks.
IEEE Trans. Vis. Comput. Graph., 2021

Understanding Human-side Impact of Sampling Image Batches in Subjective Attribute Labeling.
Proc. ACM Hum. Comput. Interact., 2021

CG-NeRF: Conditional Generative Neural Radiance Fields.
CoRR, 2021

Data Augmentation using Random Image Cropping for High-resolution Virtual Try-On (VITON-CROP).
CoRR, 2021

AnimeCeleb: Large-Scale Animation CelebFaces Dataset via Controllable 3D Synthetic Models.
CoRR, 2021

Natural Attribute-based Shift Detection.
CoRR, 2021

MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation.
CoRR, 2021

Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation.
CoRR, 2021

VATUN: Visual Analytics for Testing and Understanding Convolutional Neural Networks.
Proceedings of the 21st Eurographics Conference on Visualization, 2021

Learning Debiased Representation via Disentangled Feature Augmentation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Knowledge Graph-based Question Answering with Electronic Health Records.
Proceedings of the Machine Learning for Healthcare Conference, 2021

K-Hairstyle: A Large-Scale Korean Hairstyle Dataset For Virtual Hair Editing And Hairstyle Classification.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

An Empirical Experiment on Deep Learning Models for Predicting Traffic Data.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

BiaSwap: Removing Dataset Bias with Bias-Tailored Swapping Augmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Efficient Adversarial Audio Synthesis VIA Progressive Upsampling.
Proceedings of the IEEE International Conference on Acoustics, 2021

AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Novel Natural Language Summarization of Program Code via Leveraging Multiple Input Representations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

HairFIT: Pose-invariant Hairstyle Transfer via Flow-based Hair Alignment and Semantic-region-aware Inpainting.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space.
Proceedings of the Asian Conference on Machine Learning, 2021

Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning to Generate Questions by Learning to Recover Answer-containing Sentences.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Multi-Organ Nucleus Segmentation Challenge.
IEEE Trans. Medical Imaging, 2020

Probabilistic Topic Modeling for Comparative Analysis of Document Collections.
ACM Trans. Knowl. Discov. Data, 2020

Intelligent fault detection using raw vibration signals via dilated convolutional neural networks.
J. Supercomput., 2020

Automatic detection of tympanic membrane and middle ear infection from oto-endoscopic images via convolutional neural networks.
Neural Networks, 2020

Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment.
CoRR, 2020

Meta-Learning for Low-Resource Unsupervised Neural MachineTranslation.
CoRR, 2020

Neural Ordinary Differential Equations for Intervention Modeling.
CoRR, 2020

Towards Lightweight Lane Detection by Optimizing Spatial Embedding.
CoRR, 2020

End-to-end Multi-task Learning of Missing Value Imputation and Forecasting in Time-Series Data.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Unsupervised anomaly detection of the gas turbine operation via convolutional auto-encoder.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

Learning De-biased Representations with Biased Representations.
Proceedings of the 37th International Conference on Machine Learning, 2020

NeurQuRI: Neural Question Requirement Inspector for Answerability Prediction in Machine Reading Comprehension.
Proceedings of the 8th International Conference on Learning Representations, 2020

Data analysis and processing for spatio-temporal forecasting.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Exploring Unlabeled Faces for Novel Attribute Discovery.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Multimodal Image Translation with Stochastic Style Representations and Mutual Information Loss.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records.
IEEE Trans. Vis. Comput. Graph., 2019

Unpaired Image Translation via Adaptive Convolution-based Normalization.
CoRR, 2019

STGRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting.
CoRR, 2019

What and Where to Translate: Local Mask-based Image-to-Image Translation.
CoRR, 2019

MISO: Mutual Information Loss with Stochastic Style Representations for Multimodal Image-to-Image Translation.
CoRR, 2019

Visualizing for the Non-Visual: Enabling the Visually Impaired to Use Visualization.
Comput. Graph. Forum, 2019

SANVis: Visual Analytics for Understanding Self-Attention Networks.
Proceedings of the 30th IEEE Visualization Conference, 2019

A Comparison of the Effects of Data Imputation Methods on Model Performance.
Proceedings of the 21st International Conference on Advanced Communication Technology, 2019

NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Recommender System Using Sequential and Global Preference via Attention Mechanism and Topic Modeling.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

AILA: Attentive Interactive Labeling Assistant for Document Classification through Attention-Based Deep Neural Networks.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Learning to Focus and Track Extreme Climate Events.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

Paraphrase Diversification Using Counterfactual Debiasing.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Guidance in the human-machine analytics process.
Vis. Informatics, 2018

ConceptVector: Text Visual Analytics via Interactive Lexicon Building Using Word Embedding.
IEEE Trans. Vis. Comput. Graph., 2018

VisIRR: A Visual Analytics System for Information Retrieval and Recommendation for Large-Scale Document Data.
ACM Trans. Knowl. Discov. Data, 2018

Localized user-driven topic discovery via boosted ensemble of nonnegative matrix factorization.
Knowl. Inf. Syst., 2018

Interpreting Models by Allowing to Ask.
CoRR, 2018

Question-Aware Sentence Gating Networks for Question and Answering.
CoRR, 2018

Text2Colors: Guiding Image Colorization through Text-Driven Palette Generation.
CoRR, 2018

PixelSNE: Pixel-Aligned Stochastic Neighbor Embedding for Efficient 2D Visualization with Screen-Resolution Precision.
Comput. Graph. Forum, 2018

Visual Analytics for Explainable Deep Learning.
IEEE Computer Graphics and Applications, 2018

Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

MMGAN: Manifold-Matching Generative Adversarial Networks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Coloring with Words: Guiding Image Colorization Through Text-Based Palette Generation.
Proceedings of the Computer Vision - ECCV 2018, 2018

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

TopicOnTiles: Tile-Based Spatio-Temporal Event Analytics via Exclusive Topic Modeling on Social Media.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Intelligent Fault Detection via Dilated Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017
AxiSketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings.
IEEE Trans. Vis. Comput. Graph., 2017

TopicLens: Efficient Multi-Level Visual Topic Exploration of Large-Scale Document Collections.
IEEE Trans. Vis. Comput. Graph., 2017

MMGAN: Manifold Matching Generative Adversarial Network for Generating Images.
CoRR, 2017

Predicting the Currency Market in Online Gaming via Lexicon-Based Analysis on Its Online Forum.
Complex., 2017

Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
VisOHC: Designing Visual Analytics for Online Health Communities.
IEEE Trans. Vis. Comput. Graph., 2016

InterAxis: Steering Scatterplot Axes via Observation-Level Interaction.
IEEE Trans. Vis. Comput. Graph., 2016

Personas in online health communities.
J. Biomed. Informatics, 2016

PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding.
CoRR, 2016

L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization.
Neurocomputing, 2015

Simple quasi-static analysis for coplanar stripline within multilayer dielectrics.
IEICE Electron. Express, 2015

Weakly supervised nonnegative matrix factorization for user-driven clustering.
Data Min. Knowl. Discov., 2015

Coddlers, Scientists, Adventurers, and Opportunists: Personas to Inform Online Health Community Development.
CoRR, 2015

Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

IUI-TextVis 2015: Fourth Workshop on Interactive Visual Text Analytics.
Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

DemographicVis: Analyzing demographic information based on user generated content.
Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015

Project Recommendation Using Heterogeneous Traits in Crowdfunding.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

2014
To gather together for a better world: understanding and leveraging communities in micro-lending recommendation.
Proceedings of the 23rd International World Wide Web Conference, 2014

Understanding and promoting micro-finance activities in Kiva.org.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

PIVE: Per-Iteration visualization environment for supporting real-time interactions with computational methods.
Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

VisIRR: Visual analytics for information retrieval and recommendation with large-scale document data.
Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

Exploring anomalies in GAStech: VAST 2014 Mini Challenge 1 and 2.
Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

2013
Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw.
IEEE Trans. Vis. Comput. Graph., 2013

UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization.
IEEE Trans. Vis. Comput. Graph., 2013

Customizing Computational Methods for Visual Analytics with Big Data.
IEEE Computer Graphics and Applications, 2013

An interactive visual testbed system for dimension reduction and clustering of large-scale high-dimensional data.
Proceedings of the Visualization and Data Analysis 2013, 2013

Augmenting MATLAB with semantic objects for an interactive visual environment.
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, 2013

Lytic: synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics.
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, 2013

Interactive Data Analysis Tool by Augmenting MATLAB with Semantic Objects.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Fast interactive visualization for multivariate data exploration.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

2012
iVisClustering: An Interactive Visual Document Clustering via Topic Modeling.
Comput. Graph. Forum, 2012

Heterogeneous Data Fusion via Space Alignment Using Nonmetric Multidimensional Scaling.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

A Visual Analytics Approach for Protein Disorder Prediction.
Proceedings of the Expanding the Frontiers of Visual Analytics and Visualization, 2012

2010
p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics.
Proceedings of the SIAM International Conference on Data Mining, 2010

Data ingestion and evidence marshalling in Jigsaw VAST 2010 Mini Challenge 1 award: Good support for data ingest.
Proceedings of the 5th IEEE Conference on Visual Analytics Science and Technology, 2010

GeneTracer: Gene sequence analysis of disease mutations VAST 2010 mini challenge 3 award: Excellent process explanation.
Proceedings of the 5th IEEE Conference on Visual Analytics Science and Technology, 2010

iVisClassifier: An interactive visual analytics system for classification based on supervised dimension reduction.
Proceedings of the 5th IEEE Conference on Visual Analytics Science and Technology, 2010

2009
Hierarchical Linear Discriminant Analysis for Beamforming.
Proceedings of the SIAM International Conference on Data Mining, 2009

Timeline analysis of undercover activities VAST 2009 traffic mini challenge award: Good analytical technique.
Proceedings of the 4th IEEE Symposium on Visual Analytics Science and Technology, 2009

Two-stage framework for visualization of clustered high dimensional data.
Proceedings of the 4th IEEE Symposium on Visual Analytics Science and Technology, 2009

2008
Linear discriminant analysis for data with subcluster structure.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
A Comparison of Unsupervised Dimension Reduction Algorithms for Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007


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