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Hyunsik Jeon

Cell: +82-2-880-7263
Email:

I am a Ph.D. Student at Data Mining Lab @ SNU. My research area includes recommender systems based on deep neural networks.

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Education

Ph.D. Student

(Mar. 2019 - Present)
Computer Science and Engineering
Seoul National University, Seoul, Republic of Korea
Advisor: Prof. U Kang

Master of Science

(Mar. 2017 - Feb. 2019)
Computer Science and Engineering
Seoul National University, Seoul, Republic of Korea
Advisor: Prof. U Kang

Bachelor of Science

(Mar. 2011 - Feb. 2017)
Computer Science and Engineering
Hanyang University, Seoul, Republic of Korea

Awards and Honors

BigData Student Travel Award (Dec. 2019)

IEEE International Conference on Big Data (BigData), 2019, Los Angeles, USA

Publications

Data Context Adaptation for Accurate Recommendation with Additional Information

Hyunsik Jeon, Bonhun Koo, and U Kang
IEEE International Conference on Big Data (BigData), 2019, Los Angeles, USA (acceptance rate 106/550 = 19.3%)

Belief Propagation Network for Hard Inductive Semi-supervised Learning

Jaemin Yoo, Hyunsik Jeon, and U Kang
International Joint Conference on Artificial Intelligence (IJCAI), 2019, Macao, China (acceptance rate 850/4752 = 17.9%)

UniWalk: Explainable and Accurate Recommendation for Rating and Network Data

Haekyu Park, Hyunsik Jeon, Junghwan Kim, Beunguk Ahn, and U Kang
Arxiv, 2017

Conference Reviews

BigComp (IEEE International Conference on Big Data and Smart Computing, 2020)

CIKM (ACM International Conference on Information Management, 2018-2019)

ICDM (IEEE International Conference on Data Mining, 2019)

KDD (ACM SIGKDD Conference of Knowledge Discovery and Data Mining, 2019)

WSDM (ACM International Conference on Web Search and Data Mining, 2019)

WWW (The Web Conference, 2019-2020)

Teaching Experiences

T.A. - Topics in Aritificial Intelligence (Optimization for Machine Learning)

(Spring 2018)
Seoul National University, Seoul, Republic of Korea

T.A. - Data Structures

(Fall 2017)
Seoul National University, Seoul, Republic of Korea

Graduate Courseworks

Big Data Analysis (Reinforcement Learning) - (Spring 2019)

Genetic Algorithm - (Spring 2019)

Data Compression - (Spring 2018)

Introduction to Computer Vision - (Spring 2018)

Information Visualization and Visual Analytics - (Fall 2017)

Large Data Analysis - (Fall 2017)

Data Analysis Using Deep Learning - (Spring 2017)