SUNGSU LIM

Sungsu Lim

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

Email: sungsu (AT) cnu.ac.kr
Office: Room W2-612

Research Interests

Machine Learning with Graphs
Data & Knowledge Engineering
Efficient Machine Learning

Work Experience

Assistant Professor, Department of Computer Science and Engineering, Chungnam National University, 2018. 9 ~ present
Adjunct Professor, Department of Bio-AI Convergence, Chungnam National University, 2021. 3 ~ present
Advisor, Science Education Center for Gifted Children, Chungnam National University, 2020. 3 ~ present
Researcher, Department of Computer Science, KAIST, 2012. 9 ~ 2013. 2 (Advisor: Prof. Kyomin Jung)

Education

Ph.D. in Knowledge Service Engineering, KAIST, 2011. 2 ~ 2016. 8 (Advisor: Prof. Jae-Gil Lee)
M.S. in Mathematical Sciences, KAIST, 2009. 2 ~ 2011. 1 (Advisor: Prof. Sung-Ho Kim)
B.S. in Mathematical Sciences, KAIST, 2004. 3 ~ 2009. 1
Chungnam Science High School, 2002. 3 ~ 2004. 2

Honors & Awards

NVIDIA Applied Research Accelerator Award 2022 (with Nota Inc.)
Best Paper Award - Gold Prize, Korean DataBase Conference 2021
Commissioner’s Citation (for AI Research Cooperation), Korea Customs Service, 2021
Best Paper Award - 3rd Place, IEEE BigComp 2021
Outstanding Paper Award, Korea Software Congress 2020
3rd Place, SOCAR-KIISE AI Image Analysis Competition 2019
Qualcomm Innovation Award, Qualcomm Korea & KAIST, 2016
KT ICT Award, The 2nd Big Data Analytics Competition (Big Contest), 2014
Nomination Award, Microsoft Research Asia Fellowship, 2012
Honorable Mention, The 18th Samsung Electronics Humantech Paper Award, 2012

Research Highlights [Google Scholar]

C. Seo, K.-J. Jeong, S. Lim, and W.-Y. Shin, "SiReN: Sign-Aware Recommendation Using Graph Neural Networks," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 (To Appear)
H. Kim, B. S. Lee, W.-Y. Shin, and S. Lim, "Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges," IEEE Access, 2022 (To Appear)
J. Kim, J. Kim, H. J. Jeong, and S. Lim, "LUEM: Local User Engagement Maximization in Networks," Knowledge-Based Systems, 255:109788, Nov. 2022
J. Park and S. Lim, "LEHAN: Link-feature Enhanced Heterogeneous Graph Attention Network," IEEE Access, 10:86248-86255, Aug. 2022
J. Kim, S. Lim, and J. Kim, "OCSM: Finding Overlapping Cohesive Subgraphs with Minimum Degree," Information Sciences, 607:585-602, Aug. 2022
J. Kim and S. Lim, "(p, n)-Core: Core Decomposition in Signed Networks," DASFAA 2022, Apr. 2022
K. Lee, H. Jo, J. Ko, S. Lim, and K. Shin, "SSumM: Sparse Summarization of Massive Graphs," ACM SIGKDD 2020, Aug. 2020

J. Kim, S. Lim, J.-G. Lee, and B. S. Lee, "LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding," IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(11):2138-2150, Nov. 2019
B. Choe, Y. Lin, S. Lim, J.C.S. Lui, and K. Jung, "Efficient Spread-size Approximation of Opinion Spreading in General Social Networks," Physical Review E (PRE), 100:052311, Nov. 2019
J. Kim, J.-G. Lee, and S. Lim, "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
S. Lim and J.-G. Lee, "Motif-Based Embedding for Graph Clustering," Journal of Statistical Mechanics: Theory and Experiment (JSTAT), 2016:123401, Dec. 2016
S. Lim, J. Shin, N. Kwak, and K. Jung, "Phase Transitions for Information Diffusion in Random Clustered Networks," European Physical Journal B, 89(9):188, Sep. 2016
S. Lim, J. Kim, and J.-G. Lee, "BlackHole: Robust Community Detection Inspired by Graph Drawing," IEEE ICDE 2016, May 2016
S. Lim, I. Jung, S. Lee, and K. Jung, "Analysis of Information Diffusion for Threshold Models on Arbitrary Networks," European Physical Journal B, 88(8):201, Aug. 2015
S. Lim, K. Jung, and M. Andrews, "Stability of the Max-Weight Protocol in Adversarial Wireless Networks," IEEE/ACM Transactions on Networking (TON), 22(6):1859-1872, Dec. 2014 (also appeared in IEEE INFOCOM 2012, Mar. 2012)
Y. Lin, J.C.S. Lui, K. Jung, and S. Lim, "Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications," Journal of Complex Networks, 2(4):341-359, Dec. 2014
S. Lim, S. Ryu, S. Kwon, K. Jung, and J.-G. Lee, "LinkSCAN*: Overlapping Community Detection Using the Link-Space Transformation," IEEE ICDE 2014, Apr. 2014

Teaching Highlights

CNU 2315-5024: Machine Learning with Graphs, Fall 2022, Spring 2021
CNU 2315-5009: Lightweight Deep Learning, Fall 2021 (with Nota Inc.)
CNU 2315-5002: Advanced Algorithms, Fall 2019
CNU 2315-5001: Advanced AI Mathematics, Spring 2021
CNU 1216-2001: Mathematics for AI, Fall 2022
CNU 1214-4029: Deep Learning, Spring 2022 & MOOC (planned)
CNU 1214-4022: Data Science, Spring 2021, Spring 2020, Spring 2019, Spring 2022
CNU 1214-2008: Numerical Analysis, Fall 2018
CNU 1214-2004: Object-Oriented Design, Fall 2018
CNU 1214-1003: Linear Algebra, Fall 2022, Fall 2021, Fall 2020, Fall 2019
CNU 1214-1001: Discrete Mathematics, Spring 2021, Spring 2020, Spring 2019

Academic Activities

Program Committee: AAAI 2023, 2022, IEEE BigData 2022, PAKDD 2022, 2021, 2020, 2019, IEEE BigComp 2023, 2022, Data Analytics 2019, 2018, 2017, KCC 2022 (Vice Chair), KSC 2019, KDBC 2022 (Finance Chair), 2021 (Local Chair), 2020, 2019, KSIAM Spring & Fall 2022, 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, etc.
Tutorial Speaker: IEEE BigComp 2020 (Detecting Communities and Anomalies in Large Real-world Graphs), KCC 2019 (Graph Representation Learning)
Editorial Board Member: Journal of KIISE, Communications of KIISE
Board Member: KIISE Database Society, KSIAM
Member: IEEE, AAAI, KIISE (Lifetime Member), KSIAM, etc.

Other Activities

Organizer: CNU-Korea Customs Service AI Competition, 2021
Organizer: DevDay (Coding Test) @ CNU CSE, 2022, 2021, 2020, 2019, 2018
Academic Advisor: Regional Contest of ACM-ICPC, 2021, 2020, 2019
Lecturer: AI Education Program, Korea Standards Association, 2021, 2019
Lecturer: AI Education Program, ICT Innovation Square, 2022, 2021

Last modified: August 2022.