Dongjin Choi
I am a Ph.D.candidate in Computational Science and Engineering at Georgia Institute of Technology, advised by Professor Haesun Park.
My research interests include Transfer Learning, Representation Learning, AI-Human Alignment, and Text Analytics with a particular focus on cross-domain applications.
I have conducted extensive research in knowledge graph mining, recommender systems building, and interactive visualization.
I've collaborated with industry and research leaders, including Kaiser Permanente, Upstage, and Megagon Labs, contributing to projects that synergize academic research with real-world applications.
News
[Dec 2024]: Submitted a Paper to the ILAS 2025 Conference.
Educations
@ Georgia Institute of Technology, Atlanta, GA, USA, Aug 2018 - Present
M.S. in Computational Science and Engineering
@ Georgia Institute of Technology, Atlanta, GA, USA, Aug 2018 - May 2022
B.S. in ECE (Minor: CSE)
@ Seoul National University, Seoul, Korea, Mar 2011 - Feb 2018
Experiences
AI Research Engineer Intern
@ Upstage, Korea, Summer 2021
- Mentor: Hwalsuk Lee
- Developed a data cleansing system for OCR annotated data to enhance quality and reliability
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
Data Science Intern
@ NAVER Corp., Seoul, Korea, Apr 2018 - Jul 2018
Publications
Healthcare Embedding
Patient Clustering via Integrated Profiling of Clinical and Digital Data
Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry Drake, Hamid Haidarian, Faizan Javed, Haesun Park
CIKM Short 2023 [PDF]
HITL-NLP Survey
Putting Humans in the Natural Language Processing Loop: A Survey
Zijie J. Wang, Dongjin Choi, Shenyu Xu, Diyi Yang
EACL Workshop on Bridging HCI and
NLP 2021 [PDF]
TopicSifter
TopicSifter: Interactive Search Space Reduction Through Targeted Topic Modeling
Hannah Kim, Dongjin Choi, Barry Drake, Alex Endert, Haesun Park
IEEE VIS 2019 [PDF]
S3CMTF
S3CMTF: Fast, accurate, and scalable method for incomplete coupled matrix-tensor factorization
Dongjin Choi, Jun-gi Jang, U Kang
PLOS ONE 2019 [PDF] [Github]
SNeCT
SNeCT: Scalable Network Constrained Tucker Decomposition for Multi-Platform Data Profiling
Dongjin Choi, Lee Sael
IEEE TCBB 2019 [PDF] [Github]
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
CIKM 2018 [PDF] [Homepage]
CTD
CTD: Fast, Accurate, and Interpretable Method for Static and Dynamic Tensor Decompositions
Jungwoo Lee, Dongjin Choi, Lee Sael
PLOS ONE 2018 [PDF] [Github]
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
KIISE 2018 [PDF]
Awards & Honors
Best Paper Award
@ BigData 2023, Dec 2023
- Selected as the best research paper
Travel Grant Award
@ BigData 2023, Dec 2023
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
Projects
OCR Annotation Tool
Internship Project in Upstage AI, May 2021 - Aug 2021
Boosted OCR Annotation process with the interactive user interface by validating and annotating labels at the same time
DebateVis
Information Visualization term project (CS7450), Aug 2019 - Dec 2019
Interactively visualized 2019 democratic presidential debate
- Try Demo
People Flow Recognition
People flow recognition for intelligent building systems (IBS), Sovico, Samsung, Sep 2017 - Jan 2018
Implement a pedestrian simulator (watch simulation video)
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