Sungsu Lim (임성수)

Assistant Professor
Data Intelligence Lab
Department of Computer Science and Engineering
Chungnam National University
99 Daehak-ro, Yuseong-gu,
Republic of Korea 34134

E-mail: sungsu (at) cnu.ac.kr
Office: Room W2-612

Education
Ph.D. in Knowledge Service Engineering, KAIST, 2016 (Prof. Jae-Gil Lee)
M.S. in Mathematical Sciences, KAIST, 2011 (Advisor: Prof. Sung-Ho Kim)
B.S. in Mathematical Sciences, KAIST, 2009

Work Experience
Assistant Professor, Department of Computer Science and Engineering, CNU, 2018-.
Adjunct Professor, Department of Bio-AI Convergence, CNU, 2021-.
Advisor, Science Education Center for Gifted Children, CNU, 2020-.
Researcher, School of Computing, KAIST, 2012-2013 (Advisor: Prof. Kyomin Jung)

Research Interests
  • Machine Learning with Graphs
  • Data Science and Its Applications
  • Privacy-Preserving Machine Learning

Honors and Awards
  • Best Paper Award - 3rd Place, IEEE BigComp 2021
  • Outstanding Paper Award, Korea Software Congress 2020
  • 3rd Place, SOCAR-KIISE AI Image Analysis Competition 2019
  • Undergraduate Paper Award - Honorable Mention, Korea Software Congress 2019
  • Qualcomm Innovation Award, Qualcomm Korea & KAIST, 2016
  • KT ICT Award, The 2nd Big Data Analytics Competition (BigContest), 2014
  • Nomination Award, Microsoft Research Asia Fellowship, 2012
  • Honorable Mention, The 18th Samsung Electronics Humantech Paper Award, 2012

Teaching Experience
Instructor, CNU, 2018 - Present
  • CSE graduate courses: Machine Learning with Graphs (Spring '21), Advanced Topics in Computer Engineering (Spring '21), Special Topics in ML (Spring '20), Advanced Algorithms (Fall '19), Graph Theory (Spring '19)
  • CSE undergraduate courses: Data Science (Spring '21, Spring '20, Spring '19), Discrete Math (Spring '21, Spring '20, Spring '19), Linear Algebra (Fall '20, Fall '19), Numerical Analysis (Fall '18), Object-Oriented Design (Fall '18)
  • Other graduate courses: Vertical Farm and Future Agriculture (Spring '21), Special Topics in Computational Thinking (Spring '21, Spring '19), Introduction to AI (Fall '20), AI and Data Science (Fall '20), Artificial Intelligence (Spring '20)
  • Other undegraduate courses: Smart Farm Managing Operator Training Course (Fall '20), Practices in Smart Farm (Fall '19) Computational Thinking (Winter '18)
Teaching Assistant, KAIST, 2009 - 2015
  • KSE graduate courses: Data Mining for Social Networks (Fall '15), Data Mining and Knowledge Discovery (Spring '15)
  • Math undergraduate courses: College Mathematics (Spring '11), MAS 109: Intro. to Linear Algebra (Fall '10)
  • Mandatory general course: Probability and Statistics (Fall '10, Spring '10, Fall '09)
Tutor, KAIST, 2013
  • Math undergraduate course: Mathematical Statistics (Fall '13)

Selected Publications
  • {Kyuhan Lee, Hyeonsoo Jo}, Jihoon Ko, Sungsu Lim, Kijung Shin, SSumM: Sparse Summarization of Massive Graphs, ACM SIGKDD 2020, Aug. 2020, Virtual Conference. (regular) [DOI] [code and datasets] (acceptance rate: 216/1279=16.8%)
  • Jungeun Kim, Sungsu Lim, Jae-Gil Lee, and Byung Suk Lee, LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding, IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(11):2138-2150, Nov. 2019. [DOI] (impact factor: 4.935, Q1)
  • Byeongjin Choe, Yishi Lin, Sungsu Lim, John C. S. Lui, and Kyomin Jung, Efficient Spread-size Approximation of Opinion Spreading in General Social Networks, Physical Review E (PRE), 100:052311, Nov. 2019. [DOI] (impact factor: 2.296, Q1)
  • Jungeun Kim, Sungsu Lim, and Jae-Gil Lee, Differential Flattening: A Novel Framework for Community Detection in Multi-Layer Graphs, ACM Transactions on Intelligent Systems and Technology (TIST), 8(2):27, Jan. 2017. [DOI] (impact factor: 2.973, Q1)
  • Sungsu Lim and Jae-Gil Lee, Motif-Based Embedding for Graph Clustering, Journal of Statistical Mechanics: Theory and Experiment (JSTAT), 2016:123401, Dec. 2016. [DOI] (impact factor: 2.196, Q1)
  • Sungsu Lim, Joongbo Shin, Namju Kwak , and Kyomin Jung, Phase Transitions for Information Diffusion in Random Clustered Networks, European Physical Journal B (EPJ B),89(9):188, Sep. 2016. [DOI] (impact factor: 1.436, Q3)
  • Sungsu Lim, Junghoon Kim, and Jae-Gil Lee, BlackHole: Robust Community Detection Inspired by Graph Drawing, IEEE ICDE 2016, May 2016, Helsinki, Finland. (regular) [DOI] [slides] [poster] (acceptance rate: 99/395=25.0%)
  • Sungsu Lim, Inwoo Jung, Seulki Lee, and Kyomin Jung, Analysis of Information Diffusion for Threshold Models on Arbitrary Networks, European Physical Journal B (EPJ B), 88(8):201, Aug. 2015. [DOI] (impact factor: 1.223, Q3)
  • Sungsu Lim, Seungwoo Ryu, Sejeong Kwon, Kyomin Jung, and Jae-Gil Lee, LinkSCAN*: Overlapping Community Detection Using the Link-Space Transformation, IEEE ICDE 2014, Chicago, IL, USA. (regular) [DOI] [slides] [poster] (acceptance rate: 89/446=19.9%)
  • Sungsu Lim, Kyomin Jung, and Matthew Andrews, Stability of the Max-Weight Protocol in Adversarial Wireless Networks, IEEE/ACM Transactions on Networking (TON), 22(6):1859-1872, Dec. 2014. [DOI] (impact factor: 1.811, Q1)

Academic Activities
Program Committee, PAKDD 2019-2021, KDBC 2019-2020, Data Analytics 2017-2019, Korea Software Congress 2019, etc.​
Session Chair, IEEE BigComp 2020, Korea Software Congress 2019-2020, Korea Computer Congress 2019, etc. 
Journal Reviewer, IEEE TKDE, VLDB J, Pattern Recognition, IEEE J-STSP, IEEE Communication Letters, IEEE Access, Journal of Supercomputing, Journal of Communications and Networks, ICT Express, Horticultural Science and Technology, etc.
Tutorial Speaker, IEEE BigComp 2020, Korea Computer Congress 2019
Board Member, KIISE Database Society
Member, IEEE, AAAI, KIISE, KICS, etc.