​​Selected Publications [Google Scholar] [Download Link]

2020
  • {K. Lee*, H. Jo*}, J. Ko, S. Lim, and K. Shin, "SSumM: Sparse Summarization of Massive Graphs," to appear in Proc. of 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Virtual Conference, Aug. 2020 (Top-tier conference, IF-score(BK21+): 4, full research paper).
  • T.H. Moon and S. Lim, "Meta-learning on Graph with Curvature-based Analysis," Proc. of 34th AAAI Conf. on Artificial Intelligence (AAAI), Vol. 34, No. 10, pp. 13875-13876, NY, USA, Feb. 2020 (Top-tier conference, IF-score(BK21+): 4, student abstract).
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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, Vol. 100, Issue 5, Article 052311, Nov. 2019 (SCI, IF(2019): 2.296, Q1).
  • ​J. Kim, S. Lim, J.-G. Lee, and B.S. Lee, "LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding," IEEE Trans. on Knowledge and Data Engineering (TKDE),  Vol. 31, No. 11, pp. 2138-2150, Nov. 2019 (SCI, IF(2019): 4.935, Q1). / Also, in Proc. 35th IEEE Int'l Conf. on Data Engineering (ICDE), pp. 2123-2124, Macau SAR, China, Apr. 2019 (Top-tier conference, IF-score(BK21+): 3, extended abstract).
  • S. Jeong, J. Park, and S. Lim, "Triangulation-Based Embedding for Graph Clustering," Proc. 2019 Korea Software Congress, pp. 1260-1262, Pyeongchang, Korea, Dec. 2019 (domestic).
  • K. Shim, S. Choi, T. Yu, M. Chae, T.-H. Kim, and S. Lim, "A Mobile Emotion Recognition App. with Deep Learning Model Compression for the Blind and Visually Impaired," Proc. 2019 Korea Software Congress (한국소프트웨어종합학술대회), pp. 1513-1515, Pyeongchang, Korea, Dec. 2019 (domestic).
  • H. Kim, H. Kim, and S. Lim, "Complex Event Detection Using Consecutive Signal Embedding," Proc. 21st Conf. on Electronics & Information Communications (전자정보통신학술대회), Daejeon, Korea, Dec. 2019 (domestic).
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2018
  • ​(Leave of Absence for Military Service, 2016-2018)

2017
  • S. Lim, "Transformation-Based Community Detection from Social Networks," IEEE Intelligent Informatics Bulletin Vol. 18, No. 1, pp. 26, Aug. 2017 (extended abstract).
  • J. Kim, J.-G., Lee, and S. Lim, "Differential Flattening: A Novel Framework for Community Detection in Multi-Layer Graphs," ACM Trans. on Intelligent Systems and Technology (TIST), Vol. 8, No. 2, Article 27, Jan. 2017 (SCIE, IF(2017): 2.973, Q1).

2016
  • S. Lim and J.-G. Lee, "Motif-Based Embedding for Graph Clustering," Journal of Statistical Mechanics: Theory and Experiment (JSTAT), Vol. 2016, Article 123401, Dec. 2016 (SCIE, IF(2016): 2.196, Q1). / 2016 Qualcomm Innovation Award. [news]
  • S. Lim, J. Shin, N. Kwak, and K. Jung, "Phase Transitions for Information Diffusion in Random Clustered Networks," European Physical Journal B (EPJ B), Vol. 89, No. 9, Article 188, Sep. 2016 (SCI, IF(2016): 1.436, Q3).
  • S. Lim, J. Kim, and J.-G. Lee, "BlackHole: Robust Community Detection Inspired by Graph Drawing," Proc. 32nd IEEE Int'l Conf. on Data Engineering (ICDE), pp. 25-36, Helsinki, Finland, May 2016 (Top-tier conference, IF-score(BK21+): 3). / 2016 KAIST Breakthroughs. [link]
  • S. Lim and J.-G. Lee, "Transformation-Based Community Detection from Social Networks," Proc. 26th Joint Conf. on Communications and Information (JCCI, 통신정보 합동학술대회), pp. 380, Sokcho, Korea, Apr. 2016 (invited paper, domestic).

2015
  • S. Lim, I. Jung, S. Lee, and K. Jung, "Analysis of Information Diffusion for Threshold Models on Arbitrary Networks," European Physical Journal B (EPJ B), Vol. 88, No. 8, Article 201, Aug. 2015 (SCI, IF(2015): 1.223, Q3).
  • J. Kim, M. Kang, S. Lim, and J.-G. Lee, "Triangle Counting in Networks Using the Multi-Level Branching Technique," Proc. 2nd Int'l Conf. on Big Data and Smart Computing (BigComp), pp. 47-50, Jeju, Korea, Feb. 2015.
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2014
  • S. Lim, K. Jung, and M. Andrews, "Stability of the Max-Weight Protocol in Adversarial Wireless Networks," IEEE/ACM Trans. on Networking (TON), Vol. 22, No. 6, pp. 1859-1872, Dec. 2014 (SCI, IF(2014): 1.811, Q1).
  • 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, Vol. 2, No. 4, pp. 431-459, Dec. 2014.
  • S. Lim, S. Ryu, S. Kwon, K. Jung, and J.-G. Lee, "LinkSCAN*: Overlapping Community Detection Using the Link-Space Transformation," Proc. 30th IEEE Int'l Conf. on Data Engineering (ICDE), pp. 292-303, Chicago, IL, USA, Apr. 2014 (Top-tier conference, IF-score(BK21+): 3).

2013
  • S. Lim, K. Jung, and J.C.S. Lui, "Phase Transition of Multi-state Diffusion Process in Networks," ACM SIGMETRICS Performance Evaluation Review (PER), Vol. 41, No. 3, pp. 31-33, Dec. 2013.
  • Y. Lin, J.C.S. Lui, K. Jung, and S. Lim, "Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications," Proc. 9th Int'l Conf. on Signal Image Technology and Internet Based Systems (SITIS), pp. 506-513, Kyoto, Japan, Dec. 2013.

2012
  • S. Lim, K. Jung, and M. Andrews, "Stability of the Max-Weight Protocol in Adversarial Wireless Networks," Proc. 31st Annual IEEE Int'l Conf. on Computer Communications (INFOCOM), pp. 1251-1259, Orlando, FL, USA, Mar. 2012 (Top-tier conference, IF-score(BK21+): 4). / 2012 Samsung Humantech Paper Award.

2011
  • S. Lim, H. Kim, W. Heo, and K. Jung, "Influence Maximization and Information Spreading in Social Networks," Communications on KIISE (정보과학회지), Vol. 29, No. 11​, pp. 37-43, Nov. 2011. / Also, in KIPS Review (정보처리학회지), Vol. 18, No. 6, pp. 44-53, Nov. 2011 (domestic).
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References