DAVIAN
Data and Visual Analytics Lab.

News

Wonwoong gave a talk at T-TOC., 17 Apr 2019
Congratulations! "Whose Opinion Matters?" paper is accepted to Social Science Computer Review., 14 Mar 2019
Congratulations! Two papers are accepted to CVPR 2019., 05 Mar 2019
Congratulations! "Visualizing for the Non-Visual" paper is conditionally accepted to EuroVis 2019., 18 Feb 2019
Congratulations! AILA paper is accepted to CHI 2019., 08 Jan 2019

People

Anyung ha se yo! we are Awesome DAVIANers!


Jaegul Choo

Assistant Professor

Kyeongpil Kang

Ph.D Student

Data mining, Social mining, Recommender system

Jaeseong Yoo

Ph.D Student

Survival analysis with Neural Network

Minsuk Choi

Ph.D Student

Visual analytics, Data mining

Khan M. Azam

Ph.D Student

Smart Grid, Medical Imaging, Deep Learning

Sungha Choi

Ph.D Student

Machine learning in automotive industry

Youngwoo Cho

Ph.D Student

Jinho Choi

M.S Student

Sunghyo Chung

M.S Student

Computer vision

Sunwoong Lee

M.S Student

Seongjae Choi

M.S Student

NLP, deep learning

Hyojin Bahng

M.S Student

Computer Vision, Generative Models

David Keetae Park

M.S Student

Interactive Deep Learning, Generative Adversarial Networks

Cheonbok Park

M.S Student

Deep Learning ,NLP,Generative Model

Wonwoong Cho

M.S Student

GAN, Interactive Deep Learning

Seungjoo Yoo

M.S Student

Computer vision

Sanghyeon Na

M.S Student

Deep Learning, Generative Models

Yongjang Jo

M.S Student

Deep Learning, Data Visualization

Junsu Lee

M.S Student

Deep Learning, Multimodal, Generative model

Dongjun Kim

M.S Student

Computer Vision

Wooyoung Kim

M.S Student

Data Mining, Machine Learning

Juntae Kim

M.S Student

Reinforcement Learning, Deep Learning, Time Series Data

Kibeom Kim

M.S Student

Vision Language

Yunwon Tae

M.S Student

Yonggyu Kim

M.S Student

Deep Learning, Reinforcement Learning

Taesung Kim

M.S Student

Jinhee Kim

M.S Student

Deep Learning, Computer Vision, HCI

Yunsung Lee

M.S Student

Deep Learning, Computer Vision

Daehoon Gwak

M.S Student

Hyoungwoo Lee

M.S Student

Deep Learning, Computer Vision

Jinyong Kim

M.S Student

Deep Learning, Computer Vision

Heekyong Go

B.S Student

Social Data Mining, Deep Learning

Sanghun Jung

B.S Student

J. Taery Kim

B.S Student

Soyoung Yang

B.S Student

NLP, Deep Learning

Publications


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, Accepted.

Image-to-Image Translation via Group-wise Deep Whitening and Coloring Transformation

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).

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, Accepted (25.2% acceptance rate).

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, Conditionally accepted.

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, Accepted.

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, Accepted. (16.2% acceptance rate). [PDF]

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)
15th European Conference on Computer Vision (ECCV), 2018, Munich, Germany, Accepted. [PDF] [CODE]

MEGAN: Mixture of Experts of Generative Adversarial Networks for Image Generation via Categorical Reparameterization

David K. Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, and Noseong Park
International Joint Conference on Artificial Intelligence (IJCAI), 2018, Stockholm, Sweden, Accepted (20.5% acceptance rate). [PDF] [CODE]

Explainable, Interactive Deep Learning

Jaegul Choo and Shixia Liu
IEEE Computer Graphics and Applications (CG&A), Accepted. [PDF]

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, Accepted (29% acceptance rate). [PDF] [CODE]

Short Text Topic Modeling via Bi-Relational Matrix Factorization

Tian Shi, Kyeongpil Kang, Jaegul Choo, and Chandan K. Reddy
27th International World Wide Web Conference (WWW), 2018, Lyon, France, Accepted (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, Accepted (25.7% acceptance rate). [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), 2018 (Proc. IEEE Vis'17), Accepted (21% acceptance rate). [PDF] [URL]

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, Accepted as an Oral Presentation (2.1% acceptance rate for oral-presentation papers). [PDF] [VIDEO] [CODE]

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, Accepted. [PDF]

Predicting the Currency Market in Online Gaming via Topic Modeling 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, Accepted. [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, Accepted (9.2% acceptance rate for regular papers). [PDF]

MMGAN: Manifold Matching Generative Adversarial Network for Generating Images

Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Tanmoy Chakraborty, Jaegul Choo, Hongkyu Park, and Youngmin Kim
24th International Conference on Pattern Recognition (ICPR), 2018, Beijing, China, Accepted. [PDF]

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), 2017, Accepted. [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]

VisIRR: An Interactive Visual 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), 2017, Accepted. [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]

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]

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]

Project Recommendation Using Heterogeneous Traits in Crowdfunding

Vineeth Rakesh, Jaegul Choo, and Chandan K. Reddy
9th 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] [VIDEO]

Teaching

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, AAA609: 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) [VIDEO]

Calendar

The most important thing is meeting the submission deadlines.

Map

Room# 502, Woo Jung Informatics Building, 145 Anam-ro, Seongbuk-gu, Seoul, South Korea