Keejun Han

I am a full-time researcher in the Intelligent Convergence Research Laboratory at Electronics and Telecommunication Research Institute (ETRI), located in Daejeon, South Korea. Before Joining ETRI, I was a staff engineer (CL3) in the service S/W lab at Samsung Electronics. My research interests are Over-the-Top(OTT) Information Retrieval & Recommendation, and Neural Knowledge Graph Embedding. I obtained my MS and Ph.D advised by Mun. Y. Yi from Korea Advanced Institute of Science and Technology (KAIST). I obtained my bachelor degree from the Australian National University (ANU), located in Canberra, Australia.


RECENT NEWS
  • (Feb, 2022) Our paper, Understanding Postal Delivery Areas in the Republic of Korea by Multiple Unsupervised Learning Approaches, was accepted to ETRI Journal (SCIE, IF = 1.347).
  • (Feb, 2022) Our paper, Comprehensive Analysis of Traffic Accidents in Seoul: Major Factors and Types Affecting Injury Severity, was accepted to Applied Sciences (SCIE, IF = 2.679).
  • (Jan, 2022) Our paper, Improving Graph-Based Movie Recommender System Using Cinematic Experience, was accepted to Applied Sciences (SCIE, IF = 2.679).
  • (Jan, 2022) I served the 'Recommender Systems ' session as a session chair at IEEE Bigcomp 2022.
  • (Nov, 2021) Our paper, Multi-relational Stacking Ensemble Recommender System using Cinematic Experience, was accepted to IEEE BigComp 2022.
  • (Mar, 2021) I came back to Daejeon, the center of science in Korea as a full-time researcher at ETRI. More than thrilled to research again.

Education

Korea Advanced Institute of Science & Techonology (KAIST)

Ph. D in Gradatue School of Knowledge Service Engineering (Advisor: Mun Y. Yi)
2013 - 2019

Korea Advanced Institute of Science & Techonology (KAIST)

MS in Department of Knowledge Service Engineering (Advisor: Mun Y. Yi)
2011 - 2013

Australian National University (ANU)

BS in Information Technology
2009 - 2011

Professional Experience

Electronics and Telecommunication Research Institute (ETRI)

Researcher (Full-time)

Research on various postal and logistics related services, closely working with the South Korea's administrative agencies

2021 - Present

Samsung Electronics

Staff Engineer (CL3)

Developed a deep-learning based contents search service for Samsung smart TV by using BERT and Elasticsearch. The service was successfully launched globally in Nov, 2020.

2019 - 2021

Publications

Understanding postal delivery areas in the Republic of Korea by multiple unsupervised learning approaches

Keejun Han* Yeongwoong Yu,Dong-gil Na, Hoon Jung, Younggyo Heo, Hyeonchoel Jeong, Sunguk Yun, Jungeun Kim*

ETRI Journal (SCIE, IF = 1.347)

Accepted

Comprehensive analysis of traffic accidents in Seoul: Major factors and types affecting injury severity

Hyeonchoel Jeong, Inhi Kim, Keejun Han*, Jungeun Kim*

Applied Sciences (SCIE, IF = 2.679)

Feb, 2022

Improving graph-based movie recommender system using cinematic experience

Cheonsol Lee, Donghee Han, Seungwoo Choi, Keejun Han*, Mun Y. Yi*

Applied Sciences (SCIE, IF = 2.679)

Jan, 2022

Multi-relational stacking ensemble recommender system using cinematic experience

Cheonsol Lee, Donghee Han, Keejun Han*, Mun Y. Yi*

BIGCOMP 2022

Jan, 2022

Search personalization in folksonomy by exploiting multiple and temporal aspects of user profiles

Keejun Han, Mun Y. Yi, Jungeun Kim*

IEEE Access (SCIE, IF = 4.098)

Jul, 2019

A new biomedical passage retrieval framework for laboratory medicine: Leveraging domain-specific ontology, multilevel PRF, and negation differential weighting

Keejun Han, Hyoeun Shim, Mun Y. Yi*

Journal of Healcare Engineering (SCIE, IF = 1.261)

Dec, 2018

EP-CapsNet: Extending capsule network with Inception module for electrophoresis binary classification

Elizabeth Tobing, Ashraf Murtaza, Keejun Han, Mun Y. Yi*

BIBE 2018

Oct, 2018

Introducing experiential knowledge platform: A smart decision supporter for field experts

Keejun Han, Grace E Lee, Hyunwoo Je, Mun Y. Yi*

BIGCOMP 2016

Jan, 2016

Incorporating distinct opinions in content recommender system

Grace E Lee, Keejun Han, Mun Y. Yi*

AIRS 2015

Dec, 2015

Adaptive and multiple interest-aware user profiles for personalized search in folksonomy: A simple but effective graph-based profiling model

Keejun Han, Juneyoung Park, Mun Y. Yi*

BIGCOMP 2015

Feb, 2015

AppTrends: A graph-based mobile app recommendation system using usage history

Donghwan Bae, Keejun Han, Juneyoung Park, Mun Y. Yi*

BIGCOMP 2015

Feb, 2015

Exploiting knowledge structure for proximity-aware movie retrieval model

Sansung Kim, Keejun Han, Mun Y. Yi*, Sinhee Cho, Seongchan Kim

CIKM 2014

Nov, 2014

Quality-based automatic classification for presentation slides

Seongchan Kim, Wonchul Jung, Keejun Han, Jae-Gil Lee, Mun Y. Yi*

ECIR 2014

Apr, 2014

Understanding the difficulty factors for learning materials: a qualitative study

Keejun Han, Mun Y. Yi*, Gahgene Gweon, Jae-Gil Lee

AIED 2013

Jul, 2013

Scientific table type classification in digital library

Seongchan Kim, Keejun Han, Soon Young Kim, Ying Liu*

ICDAR 2012

Sep, 2012

On finding fine-granularity user communities by profile decomposition

Seulki Lee, Minsam Ko, Keejun Han, Jae-Gil Lee*

ASONAM 2012

Aug, 2012

Projects

ETRI

Development of an overseas market information analysis system for small and medium-sized export sellers.

Korea Evaluation Institute of Industrial Technology (KEIT)

2021 - Present

Development of drone logistics service technology for islands and mountains with a delivery mission success rate of 98% or higher

Korea Evaluation Institute of Industrial Technology (KEIT)

2021 - Present

Development of logistics infrastructure technology for postal service

Institute for Information and Communications Technology Promotion (IITP)

2021 - Present
Samsung Electronics

Development of deep-learning based content retrieval service for Samsung smart TV by user voice

Samsung Electronics

2019 - 2020
KAIST

Development and validation of smart integrated service platform based on livestock big Data

Institute of Planning and Evaluation for Technology in Agriculture (IPET)

2018 - 2019

Development of experiential knowledge platform for acquiring and utilizing experience knowledge of field experts

Korea Evaluation Institute of Industrial Technology (KEIT)

2015 - 2018

Exobrain (WiseKB): Bigdata based self-evolving knowledge base and reasoning platform

Institute for Information and Communications Technology Promotion (IITP)

2013 - 2015

Knowledge graph based multimedia contents retrieval system

Samsung Electronics

2013 - 2013

CourseShare: Vertical search engine for education content search

National Research Fund (NRF)

2011 - 2014

An intelligent system of extracting, integrating and searching semi-structure data for better multidisciplinary collaboration and document understanding

National Research Fund (NRF)

2011 - 2012

Academic Services

Teaching

Lecturer at University of Technology Sydney Insearch: Introduction to Programming

Teaching assistant of KSE 643, Department of Knowledge Service Engineering, KAIST

Academic activities

Session Chair: IEEE Bigcomp 2022

Journal Reviewer: IEEE Access, Applied Sciences, Big Data and Cognitive Computing, etc.

Talk

Introduction to BERT and ES based smart TV search, KIRC KAIST, 2020

Introduction to multimedia information retrieval, Samsung Electronics, 2019

Why to study in Australia, UTS Insearch, 2019


Last update: Feb 2022