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Sungsu LimAssistant 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
- 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 (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)
- J. Kim, S. Lim, and J. Kim, "OCSM: Finding Overlapping Cohesive Subgraphs with Minimum Degree," Information Sciences, 607:585-602, Aug. 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. Kim, and J.-G. Lee, "BlackHole: Robust Community Detection Inspired by Graph Drawing," IEEE ICDE 2016, May 2016
- 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
- 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
Teaching Highlights
- Machine Learning with Graphs, Fall 2022, Spring 2021
- Advanced Algorithms, Fall 2019
- Data Science, Spring 2021, Spring 2020, Spring 2019, Spring 2022
- Deep Learning, Spring 2022
- Linear Algebra, Fall 2022, Fall 2021, Fall 2020, Fall 2019
- Discrete Mathematics, Spring 2021, Spring 2020, Spring 2019
Academic Activities
- Program Committee: IEEE BigData 2022, IEEE BigComp 2023, 2022, PAKDD 2022, 2021, 2020, 2019, KDBC 2022 (Finance Chair), 2021 (Local Chair), 2020, 2019, Data Analytics 2019, 2018, 2017, KCC 2022 (Vice Chair), KSC 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-KCS AI Competition, 2021 (with Prof. Dongil Kim)
- 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.