Dongho Lee

Graduate Student
Department of Computer Science
Viterbi School of Engineering
University of Southern California

dongho.lee@usc.edu
Curriculum Vitae [pdf]
Last Updated: 16 Apr 2020


Research Interests

Natural Language Processing, Machine Learning, Computer-supported learning


Education

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University of Southern California

M.S candidate in Computer Science,
Fall 2018 – Fall 2020 (exp.)
Advisor : Dr. Xiang Ren

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Sungkyunkwan University

Bachelor of Science in Computer Education,
Spring 2012 – Spring 2018
Total GPA of 4.1 / 4.5 (95.20 / 100) ,
Major GPA of  4.26 / 4.5

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The University of Sheffield

Computer science
Exchange Student, Fall 2016 – Spring 2017
Total GPA of 4.42 / 4.5


Research/Paper

TriggerNER: Label-Efficient Learning for Named Entity Recognition via Annotating Entity Triggers
Dong-Ho Lee*, Bill Yuchen Lin*, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar, Xiang Ren
in Proc of ACL 2020 [link] [Github]

LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation
Dong-Ho Lee*, Rahul Khanna*, Bill Yuchen Lin, Jamin Chen, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren
in Proc of ACL 2020 Demo Track [link] [Project]

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging
Dong-Ho Lee*, Bill Yuchen Lin*, Frank F. Xu, Ouyu Lan, Xiang Ren
in Proc of ACL 2019 Demo Track [link] [Github]

Fake news detection using deep learning
Dong-Ho Lee, J.H Lee, Y.R Kim, H.J Kim, S.M Park, Y.J Yang, W.B Shin
Journal of Information Processing System (JIPS) [link]

[Domestic Conference – Korea]

Fake news detection using deep learning
Dong-Ho Lee, J.H Lee, Y.R Kim, H.J Kim, S.M Park, Y.J Yang, W.B Shin
Proceedings of the 2018 Spring Korea Information Processing Society Conference [link]
Best Paper Award 

Comparison of performance between MariaDB and PostgreSQL in terms of CPU overhead
Dong-Ho Lee, Min-Chang Song, Young-Tae Cho, Seung-Won Kim
Proceedings of the 2018 Spring Korea Information Processing Society Conference [link]

Improving accuracy of SNS-based Disaster Notification System using Morphological Analysis and Artificial Neural Network
Dong-Ho Lee, Suk-Min Kang, Soo-Hyun Kim, Sung-Jae Jo, Chan-Hyuk Park
Proceedings of the 2017 Fall Korea Information Processing Society Conference [link]


Awards and Scholarships

Academic Scholarship,  Sungkyunkwan University (Fall 2016)


Projects

Fake news filtering App, Android mobile application

      • ML serving framework. (To show the availability of my proposed model in production level)

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Teaching Experience

Teaching Assistant, Sungkyunkwan university, Winter & Spring 2016

      • GEDT014-12 : Computational Thinking and Software Coding
      • Instructor : Oakyoung Han, Ph.D, Jungin Kown, Ph.D
      • Instructors conducted a lecture for theory of computational thinking and software coding and I conducted a lecture for python practice.

Teaching Internship, Sunrin Internet high school, May 2017

      • Java programming
      • Instructor : Eun-ji Kim, Teacher in high school
      • Taught ‘Java Programming’ to second grade students in high school

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After school teacher, Sangmoon high school, June 2017 to Nov 2017

      • Computer science
      • Organized an After School program curriculum for computer science and taught ‘Java, Android, PHP’ to students.

Work Experience

Sergeant, Republic of Korea Air Force, Aug 2013 to Aug 2015

      • 1st MCRC, OSAN Air Base
      • Console and server maintenance for supporting air traffic control

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Software Skills

C, C++, Python, Java, PHP, Android(NDK)
Tensorflow, PyTorch, MXNet
Scrapy, Heritrix, Nutch
MariaDB, PostgreSQL, Redis, Memcached
web server configuration (Apache, Nginx, Openlitespeed)