Woojeong Jin

Ph.D. Student, Computer Science Department

Hello! I am a first-year Ph.D. student in CS at the University of Southern California. My research interest lies in graph mining, knowledge graphs, and machine learning. I am fortunate to be advised by Prof. Xiang Ren and supported by KEF Scholarship. I received B.S. in Electrical and Computer Engineering at Seoul National University. My undergraduate research was advised by Prof. U Kang.

Email: woojeong.jin (at) usc.edu
[Curriculum Vitae]

Education

Aug. 2018 -- Present

Ph.D. in Computer Science

University of Southern California

Los Angeles, USA

Feb. 2017

B.S. in Electrical and Computer Engineering

Seoul National University

Seoul, Korea

Work Experience

Jan. 2016 - Apr. 2018

Research Assistant, Data Mining Lab., SNU

June 2014 - Aug. 2014

Research Intern, Creative Innovation Center, LG electronics

Publications

Activity Prediction from Sensor Data using Convolutional Neural Networks and an Efficient Compression Method
Woojeong Jin, Dongjin Choi, Youngjin Kim, and U Kang
Journal of KIISE, 2018.
[ paper ]
Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees
Minji Yoon, Woojeong Jin, and U Kang
The Web Conference (WWW) 2018, Lyon, France
[ paper ] (14.8% Acceptance Rate)
Ranking in Signed Social Networks: Model and Algorithms
Jinhong Jung, Woojeong Jin, U Kang, and Lee Sael
Knowledge and Information Systems (KAIS) (under revision)
[ paper | www (code and data) ]
Personalized Ranking in Signed Networks using Signed Random Walk with Restart
Jinhong Jung, Woojeong Jin, Lee Sael, and U Kang
IEEE International Conference on Data Mining (ICDM) 2016, Barcelona, Spain
[ paper | supplement | www (code and data) ] (19.6% Acceptance Rate)
Recommender System based on Graph Ranking using Random Walk
Woojeong Jin, Jinhong Jung, and U Kang
Communications of the Korean Institute of Information Scientists and Engineers (KIISE), 2016
[ paper ]

Patents

Method for Providing Supervised and Extended Restart in Random Walks for Ranking and Link Prediction in Networks, KR: 10-2017-0131543 (filed on Nov. 10, 2017)
Woojeong Jin, Jinhong Jung, and U Kang

Method for Personalized Ranking in Signed Networks, Recording Medium And Device for Performing the Method, KR: 10-2017-0005485 (filed on Jan. 12, 2017)
Jinhong Jung, Woojeong Jin, and U Kang

Relevant Coursework

Pattern Recognition and Machine Learning (Audit), SNU, Spring 2017
Convex Optimization, SNU, Fall 2016
Mining Massive Datasets, Stanford Online, June 2017
Machine Learning (Stanford University), Coursera, May 2016