Jinhong Jung

Assistant Professor, Data Mining Lab., School of Software, Soongsil University

jinhong at ssu.ac.kr

#225, School of Software, Soongsil University

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I am an Assistant Professor in School of Software at Soongsil University. I received my Ph.D. in Computer Science and Engineering from Seoul National University, where I was advised by Prof. U Kang and supported by the Global Ph.D. Fellowship. I received M.S. in Computer Science from KAIST, and B.S. in Computer Science and Engineering from Jeonbuk National University. I was a postdoctoral researcher at Data Mining Lab in Seoul National University. I was an assistant professor at Jeonbuk National University. My research interests include graph machine learning, large-scale data analytics, and applied data science.

Education

Ph.D. in Computer Science and Engineering
Feb. 2020

Seoul National University

Thesis: Random Walk-based Large Graph Mining Exploiting Real-world Graph Properties

Advisor: Prof. U Kang

M.S. in Computer Science
Aug. 2015

Korea Advanced Institute of Science and Technology

Advisor: Prof. U Kang

B.S. in Computer Science and Engineering
Feb. 2014

Jeonbuk National University

Position

Assistant Professor
Sep. 2023 - Present

School of Software

Soongsil University

Assistant Professor
Sep. 2020 - Aug. 2023

Department of Computer Science and Engineering

Jeonbuk National University

Postdoctoral Research Fellow
Mar. 2020 - Aug. 2020

Data Mining Lab.

Seoul National University

Awards

IEEE ICDM Best Student Paper Runner-up Award @ ICDM
Nov. 2023
HumanTech Award (Bronze Prize) @ Samsung
Jan. 2023
AAAI-21 Outstanding Program Committee Award @ AAAI
Jan. 2021
BK21 Plus Excellent Research Award @ SNU
Jul. 2018
HumanTech Award (Honorable Mention) @ Samsung
Dec. 2017
· · · More · · ·
HumanTech Award (Silver Prize) @ Samsung
Jan. 2017
ACM SIGKDD Student Travel Award @ SIGKDD
May. 2016
Naver Ph.D. Fellowship @ Naver
Mar. 2016
Global Ph.D. Fellowship @ NRF
Feb. 2016
ACM SIGMOD Student Travel Award @ SIGMOD
May. 2015
HumanTech Award (Gold Prize) @ Samsung
Jan. 2015

Awards

IEEE ICDM Best Student Paper Runner-up Award

- Awarded by ICDM
Nov. 2023

HumanTech Award (Bronze Prize)

- Awarded by Samsung
Jan. 2023

AAAI-21 Outstanding Program Committee Award

- Awarded by AAAI
Jan. 2021

BK21 Plus Excellent Research Award

- Awarded by SNU
Jul. 2018

HumanTech Award (Honorable Mention)

- Awarded by Samsung
Dec. 2017
· · · More · · ·

HumanTech Award (Silver Prize)

- Awarded by Samsung
Jan. 2017

ACM SIGKDD Student Travel Award

- Awarded by SIGKDD
May. 2016

Naver Ph.D. Fellowship

- Awarded by Naver
Mar. 2016

Global Ph.D. Fellowship

- Awarded by NRF
Feb. 2016

ACM SIGMOD Student Travel Award

- Awarded by SIGMOD
May. 2015

HumanTech Award (Gold Prize)

- Awarded by Samsung
Jan. 2015

Publications

  • Refereed Conference and Journal Papers
    1. AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification
      Minjun Kim, Jaehyeon Choi, SeungJoo Lee, Jinhong Jung, and U Kang
      PAKDD 2025
    2. Multi-Behavior Recommender Systems: A Survey
      Kyungho Kim, Sunwoo Kim, Geon Lee, Jinhong Jung, and Kijung Shin
      PAKDD 2025
    3. ELiCiT: Effective and Lightweight Lossy Compression of Tensors
      Jihoon Ko, Taehyung Kwon, Jinhong Jung, Jun-Gi Jang, and Kijung Shin
      ICDM 2024
      · Selected as one of the best-ranked papers of ICDM 2024 for fast-track journal invitation
    4. Compact Lossy Compression of Tensors via Neural Tensor-Train Decomposition
      Taehyung Kwon, Jihoon Ko, Jun-gi Jang, Jinhong Jung, and Kijung Shin
      KAIS 2024
    5. MuLe: Multi-Grained Graph Learning for Multi-Behavior Recommendation
      Seunghan Lee, Geonwoo Ko, Hyun-Je Song, and Jinhong Jung
      CIKM 2024
    6. Compact Decomposition of Irregular Tensors for Data Compression: From Sparse to Dense to High-Order Tensors
      Taehyung Kwon, Jihoon Ko, Jinhong Jung, Jun-Gi Jang, and Kijung Shin
      KDD 2024
    7. Learning Disentangled Representations in Signed Directed Graphs without Social Assumptions
      Geonwoo Ko and Jinhong Jung
      InfSci 2024
    8. Random Walk with Restart on Hypergraphs: Fast Computation and an Application to Anomaly Detection
      Jaewan Chun, Geon Lee, Kijung Shin, and Jinhong Jung
      DMKD 2023
    9. TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions
      Taehyung Kwon, Jihoon Ko, Jinhong Jung, and Kijung Shin
      ICDM 2023
      · Received the IEEE ICDM Best Student Paper Runner-up Award
      · Selected as one of the best-ranked papers of ICDM 2023 for fast-track journal invitation
    10. NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors
      Taehyung Kwon, Jihoon Ko, Jinhong Jung, and Kijung Shin
      WWW 2023
    11. Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning
      Jong-whi Lee and Jinhong Jung
      AAAI 2023
      · Accepted as oral presentation
      · Received the Samsung Humantech Paper Award (Bronze Prize)
    12. Accurate Node Feature Estimation with Structured Variational Graph Autoencoder
      Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, and U Kang
      KDD 2022
    13. Signed Random Walk Diffusion for Effective Representation Learning in Signed Graphs
      Jinhong Jung, Jaemin Yoo, and U Kang
      PLOS ONE 2022
    14. Compressing Deep Graph Convolution Network with Multi-Staged Knowledge Distillation
      Junghun Kim, Jinhong Jung, and U Kang
      PLOS ONE 2021
    15. Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion
      Jaehun Jung, Jinhong Jung, and U Kang
      KDD 2021
    16. Fast and Accurate Pseudoinverse with Sparse Matrix Reordering and Incremental Approach
      Jinhong Jung and Lee Sael
      ML 2020
    17. Accurate Relational Reasoning in Edge-labeled Graphs by Multi-Labeled Random Walk with Restart
      Jinhong Jung, Woojeong Jin, Ha-Myung Park, and U Kang
      WWWJ 2020
    18. BalanSiNG: Fast and Scalable Generation of Realistic Signed Networks
      Jinhong Jung, Ha-Myung Park, and U Kang
      EDBT 2020
    19. Random Walk Based Ranking in Signed Social Networks: Model and Algorithms
      Jinhong Jung, Woojeong Jin, and U Kang
      KAIS 2019
    20. Supervised and Extended Restart in Random Walks for Ranking and Link Prediction in Networks
      Woojeong Jin, Jinhong Jung, and U Kang
      PLOS ONE 2019
    21. Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range
      Jun-Gi Jang, Dongjin Choi, Jinhong Jung, and U Kang
      CIKM 2018
      · Received the Samsung Humantech Paper Award (Honorable Mention)
    22. TPA: Fast, Scalable, and Accurate Method for Approximate Random Walk with Restart on Billion Scale Graphs
      Minji Yoon, Jinhong Jung, and U Kang
      ICDE 2018
    23. A Comparative Study of Matrix Factorization and Random Walk with Restart in Recommender Systems
      Haekyu Park, Jinhong Jung, and U Kang
      BigData 2017
    24. BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart
      Jinhong Jung, Namyong Park, Lee Sael, and U Kang
      SIGMOD 2017
      · Received the Samsung Humantech Paper Award (Silver Prize)
    25. A New Question Answering Approach with Conceptual Graph
      Kyung-Min Kim, Jinhong Jung, Jihee Ryu, Ha-Myung Park, Joseph P.Joohee, Seokwoo Jeong, U Kang, and Sung-Hyon Myaeng
      CORIA 2017
    26. Personalized Ranking in Signed Networks using Signed Random Walk with Restart
      Jinhong Jung, Woojeong Jin, Lee Sael, and U Kang
      ICDM 2016
    27. Random Walk with Restart on Large Graphs Using Block Elimination
      Jinhong Jung, Kijung Shin, Lee Sael, and U Kang
      TODS 2016
    28. BEAR:Block Elimination Approach for Random Walk with Restart on Large Graphs
      Kijung Shin, Jinhong Jung, Lee Sael, and U Kang
      SIGMOD 2015
      · Received the Samsung Humantech Paper Award (Gold Prize)

    Preprints

    1. Learning Disentangled Representations in Signed Directed Graphs without Social Assumptions
      Geonwoo Ko and Jinhong Jung
    2. NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors
      Taehyung Kwon, Jihoon Ko, Jinhong Jung, and Kijung Shin
    3. Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning
      Jong-whi Lee and Jinhong Jung
      4. · · · More · · ·
    4. Accurate Node Feature Estimation with Structured Variational Graph Autoencoder
      Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, and U Kang
    5. Signed Graph Diffusion Network
      Jinhong Jung, Jaemin Yoo, and U Kang
    6. T-gap: Learning to Walk across Time for Temporal Knowledge Graph Completion
      Jaehun Jung, Jinhong Jung, and U Kang
    7. TPA: Fast, Scalable, and Accurate Method for Approximate Random Walk with Restart on Billion Scale Graphs
      Minji Yoon, Jinhong Jung, and U Kang
    8. Supervised and Extended Restart in Random Walks for Ranking and Link Prediction in Networks
      Woojeong Jin, Jinhong Jung, and U Kang

    Service

    Program Committee Member

      · AAAI
      2021 | 2023 | 2024 | 2025
      · TheWebConf (WWW)
      2022 | 2023 | 2024 | 2025
      · KDD
      2024 | 2025
      · WSDM
      2023 | 2024 | 2025
      · BigComp
      2021 | 2024

    Journal Reviewer

      · NEUNET
      2023
      · ESWA
      2023
      · TKDE
      2022

    External Conference Reviewer

    · NeurIPS 2023 Workshop GLFrontiers
    2023
    · KDD
    2016 | 2017 | 2018 | 2019 | 2020
    · TheWebConf
    2016 | 2017 | 2018 | 2019
    · · · More · · ·
    · ICDM
    2015 | 2018 | 2019
    · WSDM
    2018 | 2019
    · CIKM
    2016 | 2017 | 2018 | 2019 | 2025
    · SAC
    2016 | 2017 | 2018 | 2019 | 2020
    · ECML/PKDD
    2016 | 2017
    · BigComp
    2016 | 2018 | 2020
    · DSAA
    2016
    · BigData
    2016
    · DASFAA
    2023

    Miscellaneous

    My Students' Awards

    · Gyeong-Min Gu, Minseo Jeon, KSC 2024 Best Paper Award @ KSC
    Nov. 2024
    · Junwoo Jung, Cheolhee Jeong, KDBC 2024 Best Paper Award (Silver Prize) @ KDBC
    Oct. 2024
    · Daewon Gwak, Jaehyun Park, Jongyoon Choi, Self-Improving AI Competition Award @ ETRI
    Sep. 2024
    · Seunghan Lee, Najeong Chae, Joint AI Competition (Runner-up) @ SWCU Council
    Jul. 2023
    · Jong-whi Lee, HumanTech Award (Bronze Prize) @ Samsung
    Jan. 2023
    · Jong-whi Lee, AAAI-23 Student Scholarship @ AAAI
    Nov. 2022

    Projects

    · Graduate School of Security Convergence (Soongsil University) @ IITP
    2024-present
    · Innovative Human Resource Development for Local Intellectualization (Soongsil University) @ IITP
    2022-present
    · Artificial intelligence innovation hub R&D @ IITP
    2021-present
    · Representation Learning for Mining Signed Graphs @ NRF
    2021-present
    · Model Compression for Deep Graph Neural Networks (SW-StarLab) @ IITP
    2018-2020
    · Knowledge Based News Map Generation @ NC Soft
    2017-2019
    · Fast Ranking in Large-scale Graphs via Link Analysis @ NRF
    2016-2019
    · Deep Learning Techniques on Graphs for QA systems (Exobrain) @ IITP
    2016-2019
    · Event Retrieval and Mining from Unstructured Texts @ NC Soft
    2016-2018
    · Partial Subgraph Matching Techniques for QA systems (Exobrain) @ IITP
    2013-2016
    · Personalized Recommendation on Credit Card Benefits @ Hyundai Card
    2013-2015
    · Personalized Recommendation on Office Social Networks @ Hancom
    2013-2015

    Talks or Guest Lectures

    Dec. 2024
    · Random Walk-Based Graph Mining @ Kangwon National University
    Apr. 2024
    Dec. 2023
    Sep. 2023
    · Graph Neural Networks @ Rural Development Administration
    Mar. 2022
    · Machine Learning with Graphs @ Korea Computer Congress
    Jun. 2020
    Dec. 2018
    May. 2017
    Jun. 2016

    Patents

    Feb. 2025
    Oct. 2024
    Jul. 2023
    Dec. 2021
    Jul. 2021
    Nov. 2019
    Nov. 2018
    Nov. 2018
    Jan. 2018
    Nov. 2017
    Nov. 2017
    Jan. 2017
    Dec. 2016

    Teaching Experience - Instructor

    · Recommender System @ SSU
    24-1
    · Data Structure @ SSU
    24-1
    · Big Data @ SSU
    23-2
    · Software Analysis and Design @ SSU
    23-2
    · Data Mining @ JBNU
    22-2
    · Algorithm @ JBNU
    21-1 | 22-1 | 23-1
    · Data Structure @ JBNU
    20-2 | 21-2 | 22-2 | 23-1
    · C++ Programming @ JBNU
    21-2

    Miscellaneous

    My Students' Awards

    · Gyeong-Min Gu, Minseo Jeon, KSC 2024 Best Paper Award

    - Awarded by KSC
    Nov, 2024

    · Junwoo Jung, Cheolhee Jeong, KDBC 2024 Best Paper Award (Silver Prize)

    - Awarded by KDBC
    Oct, 2024

    · Daewon Gwak, Jaehyun Park, Jongyoon Choi, Self-Improving AI Competition Award

    - Awarded by ETRI
    Sep, 2024

    · Seunghan Lee, Najeong Chae, Joint AI Competition (Runner-up)

    - Awarded by SWCU Council
    Jul, 2023

    · Jong-whi Lee, HumanTech Award (Bronze Prize)

    - Awarded by Samsung
    Jan, 2023

    · Jong-whi Lee, AAAI-23 Student Scholarship

    - Awarded by AAAI
    Nov, 2022

    Projects

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    Talks or Guest Lectures

    · Leveraging Real-World Graph Properties for Graph Learning

    - Talked at IPAI Seminar, SNU
    Dec. 2024

    · Random Walk-Based Graph Mining

    - Talked at Kangwon National University
    Apr. 2024

    · Learning Graphs with Random Walks

    - Talked at DMLAB, KAIST
    Dec. 2023

    · Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning

    - Talked at KJDB
    Sep. 2023

    · Graph Neural Networks

    - Talked at Rural Development Administration
    Mar. 2022

    · Machine Learning with Graphs

    - Talked at Korea Computer Congress
    Jun. 2020

    · Personalized Ranking in Signed Networks using Signed Random Walk with Restart

    - Talked at NC Soft
    Dec. 2018

    · BePI: Fast and Memory-efficient Method for Billion-Scale RWR

    - Talked at Korea Computer Congress
    May. 2017

    · Fast Random Walk with Restart on Large Graphs using Block Elimination

    - Talked at Naver Labs
    Jun. 2016

    Patents

    Teaching Experience - Instructor

    · Recommender System @ SSU
    24-1
    · Data Structure @ SSU
    24-1
    · Big Data @ SSU
    23-2
    · Software Analysis and Design @ SSU
    23-2
    · Data Mining @ JBNU
    22-2
    · Algorithm @ JBNU
    21-1 | 22-1 | 23-1
    · Data Structure @ JBNU
    20-2 | 21-2 | 22-2 | 23-1
    · C++ Programming @ JBNU
    21-2