About Me

I am a senior undergraduate student majoring both Computer Science and Engineering and Economics at Seoul National University. I attended University of California, Berkeley as an exchange student.
My research interests are Machine Learning, Deep Learning, Data Mining and Game Theory.
My research was advised by Professor U Kang and Professor Byung-Gon Chun.
Here is my Curriculum Vitae.

Contact Information

Email: dreamhunter at snu.ac.kr

Work Experience

Intern, NAVER, Seoul, South Korea (Jan 2018 – Mar 2018)
NAVER is the most used search engine of South Korea. Developed and wrote a paper on a click model that predicts user click behavior, given a search query and the corresponding search engine results page.

Undergraduate Research Intern, Data Mining Lab, Seoul National University (Nov 2016 – Aug 2017)
Advisor: Professor U Kang
Researched on Deep Learning by writing a paper on applying neural network on coupled matrix factorization, and feature learning in signed directed networks. Participated in an industrial project, developing a time series data based stock price prediction project using deep learning.

Undergraduate Research Intern, Software Platform Lab, Seoul National University (Jul 2016 – Aug 2016)
Advisor: Professor Byung-Gon Chun
Developed a deep learning framework of Dolphin, a machine learning platform built on top of Apache REEF.

Intern, Care Rights, Seoul, South Korea (Aug 2015 – Aug 2016)
Supervisor: Professor Sooyeon Han
Care Rights is a United Nations DPI/NGO(ECOSOC) nonprofit organization working for older person’s human rights. Contributed to legalizing “Act on Decisions on Life-Sustaining Treatment for Patients in Hospice and Palliative Care or at the End of Life” (Act No. 14013). Wrote and translated official documents in English, Korean and contributed to thesis writing.

Papers

Ji-Eun Lee, Hyokyun Park, Jinhwan Kwon, “Generative Adversarial Network Click Model on Web Search”
(In Progress - Planning to submit to CIKM 2018)

Ji-Eun Lee, Hyunsik Jeon, U Kang, “Neural Network Coupled Matrix Factorization” IEEE International Conference on Big Data (BigData), 2017
(Submitted) [Website]

Junghwan Kim, Haekyu Park, Ji-Eun Lee, U Kang, “SIDE: Feature Learning in Signed Directed Networks” The Web Conference (WWW), 2018
(Accepted) [Website]

Teaching

Student Directed Education: A study on recommendation system algorithms, their applications, and possible legal issues
Organized and led group sessions especially on introducing algorithms used in recommendation system: matrix factorization, deep learning.

Technical and English Skills

Python, Java (Advanced)/ Ocaml (Experienced) / C, C++, Scheme, Stata, SQL (Intermediate)
Apache REEF (Retainable evaluator execution framework), Caffe (deep learning framework developed by BVLC), Tensorflow

TOEFL iBT (Oct 2017) Total 114 (Reading 30 Listening 30 Speaking 28 Writing 26)
TOEFL iBT (Feb 2014) Total 114 (Reading 29 Listening 29 Speaking 28 Writing 28)
GRE (Oct 2017) Verbal 154 (65%) Quantitative 164 (87%) Writing 4.0 (60%)
GRE (Mar 2017) Verbal 150 (48%) Quantitative 165 (89%) Writing 4.0 (60%)

Scholarship

UC Berkeley Economic Semester Abroad Program (BESAP) Scholarship (Jan 2016)
(The First) Samsung Convergence Software Course (SCSC) Program Scholarship (Aug 2014)