Jinhong Jung
Assistant Professor, Data Mining Lab., School of Software, Soongsil University
jinhong at ssu.ac.kr
#225, School of Software, Soongsil University
Google Scholar | DBLP | GitHub | CV | Homepage
I am an Assistant Professor in School of Software of Soongsil University, South Korea.
Previously, I was an Assistant Professor at Jeonbuk National University and a Postdoctoral Researcher at Seoul National University.
I received my Ph.D. from Department of Computer Science and Engineering at Seoul National University, South Korea, in 2020, where I was advised by U Kang and supported by the Global Ph.D. Fellowship.
I received my M.S. in Computer Science from KAIST and my B.S. in Computer Science and Engineering from Jeonbuk National University.
I won the best student paper runner-up award at ICDM 2023.
My research interests include data mining, recommender systems, and graph machine learning, with a particular focus on leveraging large language models.
I lead the Data Mining Lab. in School of Software at Soongsil University.
School of Software
Soongsil University
Department of Computer Science and Engineering
Jeonbuk National University
Data Mining Lab.
Seoul National University
PAKDD Best Survey Paper Award
IEEE ICDM Best Student Paper Runner-up Award
HumanTech Award (Bronze Prize)
AAAI-21 Outstanding Program Committee Award
BK21 Plus Excellent Research Award
HumanTech Award (Honorable Mention)
HumanTech Award (Silver Prize)
ACM SIGKDD Student Travel Award
Naver Ph.D. Fellowship
Global Ph.D. Fellowship
ACM SIGMOD Student Travel Award
HumanTech Award (Gold Prize)
Seoul National University
Thesis: Random Walk-based Large Graph Mining Exploiting Real-world Graph Properties
Advisor: Prof. U Kang
Korea Advanced Institute of Science and Technology
Advisor: Prof. U Kang
Jeonbuk National University
· Gyeong-Min Gu, Minseo Jeon, KSC 2024 Best Paper Award
· Junwoo Jung, Cheolhee Jeong, KDBC 2024 Best Paper Award (Silver Prize)
· Daewon Gwak, Jaehyun Park, Jongyoon Choi, Self-Improving AI Competition Award
· Seunghan Lee, Najeong Chae, Joint AI Competition (Runner-up)
· Jong-whi Lee, HumanTech Award (Bronze Prize)
· Jong-whi Lee, AAAI-23 Student Scholarship
· Leveraging Real-World Graph Properties for Graph Learning
· Random Walk-Based Graph Mining
· Learning Graphs with Random Walks
· Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning
· Machine Learning with Graphs
· Personalized Ranking in Signed Networks using Signed Random Walk with Restart
· BePI: Fast and Memory-efficient Method for Billion-Scale RWR
· Fast Random Walk with Restart on Large Graphs using Block Elimination