Hello! I'm Jin Choi!


I am a Ph.D. student in the College of Computing

at Georgia Tech advised by professor Haesun Park. 


My research interests include NLP and Visualization, specifically in Knowledge Graph Mining and Interactive Personalization.

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Experience

- Research Scientist Intern

@ Megagon Labs, Mountain View, CA, May 2020 - Aug 2020
- Mentors: Çağatay Demiralp, Sara Evensen

- Proposed a system for data programming by demonstration for span-level annotation

- Graduate Research Assistant

@ Georgia Institute of Technology, Atlanta, GA, Aug 2018- Present 

- Undergraduate Research Assistant

@Seoul National University, Seoul, Korea, Aug 2016 - Jan 2018

Educations

Atlanta, GA, USA, Aug 2018 - Present

- B.S. in ECE(Minor: CSE), Seoul National University

Seoul, Korea, Mar 2011 - Feb 2018

Publications

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DPBD

Data Programming by Demonstration: A Framework for Interactively Learning Labeling Functions

Sara Evensen, Chang Ge, Dongjin Choi, Çağatay Demiralp

Interactive Data Programming Framework for Text

Arxiv Preprint, 2020   [PDF]

TopicSifter-03

TopicSifter 

TopicSifter: Interactive Search Space Reduction Through Targeted Topic Modeling 

Hannah Kim, Dongjin Choi, Barry Drake, Alex Endert, Haesun Park

Interactive Search Space Reduction Through Targeted Topic Modeling 

IEEE VIS, 2019   [PDF] 

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S3CMTF

S3CMTF: Fast, accurate, and scalable method for incomplete coupled matrix-tensor factorization

Dongjin Choi, Jun-gi Jang, U Kang

First parallel and scalable method for sparse coupled matrix-tensor factorization (Sparse CMTF) with HOSVD format.

PLOS ONE, 2019   [PDF]   [Github]

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SNeCT

SNeCT: Scalable Network Constrained Tucker Decomposition for Multi-Platform Data Profiling

Dongjin Choi, Lee Sael

Network constrained Tucker decomposition on multi-platform genomic data.

IEEE TCBB, 2019   [PDF]   [Github]

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Zoom-SVD

Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range

Jun-gi Jang, Dongjin Choi, Jinhong Jung,
U Kang

Proposed a framework to store singular value decomposition (SVD) of multiple sensor data block-by-block and efficiently retrieve the SVD of an arbitrary time range query.

CIKM, 2018   [PDF]   [Homepage]

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CTD

CTD: Fast, Accurate, and Interpretable Method for Static and Dynamic Tensor Decompositions

Jungwoo Lee, Dongjin Choi, Lee Sael

First interpretable sampling-based dynamic tensor decomposition method. We demonstrate the usefulness of CTD by detecting distributed denial of service (DDoS) attack.

Received bronze medal from Samsung humantech paper award.

PLOS ONE, 2018   [PDF]   [Github] 

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Activity Prediction

Activity Prediction from Sensor Data using Convolutional Neural Networks and an Efficient Compression Method

Woojeong Jin, Dongjin Choi, Youngjin Kim, and U Kang

Isolated kernel CNN model for people flow recognition.

KIISE, 2018   [PDF]

Projects

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DebateVis

Information Visualization term project (CS7450), Aug 2019 - Dec 2019

- Interactively visualized 2019 democratic presidential debate

- Try Demo

People-flow-recognition

People Flow Recognition

People flow recognition for intelligent building systems (IBS), Sovico, Samsung, Sep 2017 - Jan 2018

- Implement a pedestrian simulator (watch simulation video)

- Proposed isolated kernel CNN model for people flow recognition

- Proposed multi-scale skip connected and graph-structured RNN model for people flow prediction

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Deep Learning Term Project

Deep learning term project, Seoul Nathional University, Mar 2017 - June 2017

- Term project for graduate deep learning course @SNU

- Developed CNN model for human identification on image using transfer learning technique

Awards & Honors

- Humantech Paper Award (Bronze prize, Co-author)

@Samsung, Feb 2017
- Included in the top 6 in 'Computer Science & Engineering' division

- Best term paper award in 'Writing in Science & Technology'

@Seoul National University, Dec 2015
- paper (written in Korean)

- 1st place among 50 teams
- The paper proposed a new design for motorcycle helmet shield to reduce driver's air pollutant inhalation
- I drew the blueprint for 3-D printing and implemented Arduino experiment code

Patents

- Data Analysis Method and Apparatus for Sparse Data

- U Kang, Dongjin Choi, Jun-Gi Jang
- Korean patent number: 10-2017-0158496, (filed on Nov, 24, 2017).

Miscellaneous

- Mentoring program for Dream Camp

- Seongwon High School, Namwon, Korea, Summer 2015
- I served as an advisor and mentor for students of Seongwon high school

- Volunteer work as one of the co-founders of Teach for Korea

- Seoul, Korea, 2011-2012
- I was a full-time tutor for high school students in a low-income family

- I served more than 300 hours of total

- English debate TA for GLPS

- Hoengseong, Korea, Summer 2011
- My high school hosts a summer vacation camp, GLPS, for elite young students
- I worked as a TA for English debate

- Volunteer work as the leader of For & From Them

- Rania Mission School, Kolkata, India, Summer 2011
- I taught various activities (origami, mathematical quizzes) to young students in the low-income family
- I served as the manager for the volunteer work, I managed overall plans and schedules for the work

- Jochiwon, Korea, Winter 2010
- I attended the winter school for algorithms and combinatorics as an only high school student

© Jin Choi 2021
Computer Science Researcher
jin.choi@gatech.edu
jinchoi.xyz
Last updated: 2/26/2021