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Sungsu Lim (임성수)Assistant Professor
Data Intelligence Lab (데이터인텔리전스 연구실) Department of Computer Science and Engineering Chungnam National University (CNU) 99 Daehak-ro, Yuseong-gu, Daejeon, Republic of Korea 34134 Email: sungsu (AT) cnu.ac.kr & ssungssu (AT) gmail.com 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, CNU, 2018-present
- Adjunct Professor, Department of AI, CNU, 2021-present
- Adjunct Professor, Department of Bio-AI Convergence, CNU, 2021-present
- Advisor, Science Education Center for Gifted Children, CNU, 2020-present
- Research Assistant, Data Mining Lab., KAIST KSE, 2013-2016 (Advisor: Prof. Jae-Gil Lee)
- Research Assistant, Machine Intelligence Lab., KAIST CS, 2011-2013 (Advisor: Prof. Kyomin Jung)
- Research Assistant, Statistical Lab., KAIST Math Sci., 2009-2011 (Advisor: Prof. Sung-Ho Kim)
Education
- Ph.D. in Knowledge Service Engineering (changes its name to Data Science), KAIST, 2011-2016
- Thesis: Transformation-Based Community Detection from Social Networks [slides]
- M.S. in Mathematical Sciences, KAIST, 2009-2011
- B.S. in Mathematical Sciences, KAIST, 2004-2009
- Chungnam Science High School, 2002-2004
Honors & Awards
- CNU Teaching Award (one of nine recipients out of 900+ professors), 2022 [news]
- Excellence Award (2nd place), Research Data Analysis Contest (DataON-Con), 2022
- NVIDIA Applied Research Accelerator Award, 2022 (with Nota Inc.)
- Commissioner’s Citation (for AI research cooperation), Korea Customs Service, 2021
- Best Paper Award - 3rd Place, IEEE BigComp, 2021 (with Prof. Sangkeun Jung)
- Excellence Award (3rd place), SOCAR-KIISE AI Image Analysis Competition, 2019
- Qualcomm Innovation Award, Qualcomm Korea & KAIST, 2016
- KT ICT Award, The 2nd Big Data Analysis Contest (Big Contest), 2014
- Nomination Award, Microsoft Research Asia Fellowship, 2012
- Honorable Mention, The 18th Samsung Electronics Humantech Paper Award, 2012
- Several awards from domestic conferences (KSC 2021, 2020, KDBC 2021, etc.)
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), accepted
- S. Jeong, C. Joo, J. Lim, H. Cho, S. Lim, and J. Kim, "A Novel Graph-based Missing Values Imputation Method for Industrial Lubricant Data," Computers in Industry, 150:103937, Sep. 2023
- J. Kim, H. J. Jeong, S. Lim, and J. Kim, "Effective and Efficient Core Decomposition in Signed Networks," Information Sciences, 634:290-307, Jul. 2023
- S. Jeong, J. Lim, S. I. Hong, S. C. Kwon, J. Y. Shim, Y. Yoo, H. Cho, S. Lim, and J. Kim, "A Framework for Environmental Production of Textile Dyeing Process using Novel Exhaustion-rate Meter and Multi-layer Perceptron-based Prediction Model," Process Safety and Environmental Protection, 175:99-110, Jul. 2023
- J. Kim, J. Kim, H. J. Jeong, and S. Lim, "LUEM: Local User Engagement Maximization in Networks," Knowledge-Based Systems, 255:109788, Nov. 2022
- H. Kim, B. S. Lee, W.-Y. Shin, and S. Lim, "Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges," IEEE Access, 10:111820-111829, Oct. 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 2023, 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 2023, Fall 2022
- CNU 1214-4029: Deep Learning, Spring 2022 & DSC-MOOC
- CNU 1214-4022: Data Science, Spring 2023, Spring 2022, Spring 2021, Spring 2020, Spring 2019
- CNU 1214-2008: Numerical Analysis, Fall 2018
- CNU 1214-2004: Object-Oriented Design, Fall 2018
- CNU 1214-1003: Linear Algebra, Fall 2023, Fall 2022, Fall 2021, Fall 2020, Fall 2019
- CNU 1214-1001: Discrete Mathematics, Spring 2021, Spring 2020, Spring 2019
- Several AI-related courses at Graduate School of Education, Graduate School of Industry, etc.
Academic Activities
- Program Committee: AAAI 2023, 2022, PAKDD 2022, 2021, 2020, 2019, IEEE BigData 2022, IEEE BigComp 2023, 2022, 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, Energies, Electronics, etc.
- Tutorial Speaker: IEEE BigComp 2020 (Detecting Communities and Anomalies in Large Real-world Graphs, with Prof. Kijung Shin), KCC 2019 (Graph Representation Learning)
- Editorial Board Member: Journal of KIISE (2022-present), Communications of KIISE (2022)
- Board Member: KIISE Database Society (2019-present), KSIAM (2022)
- Member: IEEE, AAAI, KIISE (Lifetime Member), etc.
Other Activities
- Organizer: CNU-Korea Customs Service AI Competition, 2021
- Organizing Committee: Artificial Intelligence (AI) Graduate School Symposium, 2023
- Organizing Committee: DevDay (Coding Test) @ CNU CSE & AI, 2018-2022
- Academic Advisor: Regional Contest of ACM-ICPC, 2019-2021
- Lecturer: AI Education Program, Korea Standards Association, 2021, 2019
- Lecturer: AI Education Program, ICT Innovation Square, 2022, 2021
- Sergeant: Mandatory Military Service, ROK Army, 2016-2018
Last modified: May 2023.