Journal Publications

  1. 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, Vol. 100, Issue 5, 052311, Nov. 2019 (SCI, IF(2019): 2.296)
    [pdf]
  2. ​Jungeun Kim, Sungsu Lim, Jae-Gil Lee, and Byung Suk 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)
    [pdf]
  3. Sungsu Lim, "Transformation-Based Community Detection from Social Networks," IEEE Intelligent Informatics Bulletin, Vol. 18, No. 1, pp. 26, Aug. 2017 (Ph.D. thesis abstract)
    [pdf]
  4. Jungeun Kim, Jae-Gil Lee, and Sungsu 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, 27, Jan. 2017 (SCIE, IF(2017): 2.973)
    [pdf]
  5. Sungsu Lim and Jae-Gil Lee, "Motif-Based Embedding for Graph Clustering," Journal of Statistical Mechanics: Theory and Experiment (JSTAT), Vol. 2016, 123401, Dec. 2016 (SCIE, IF(2016): 2.196)
    [pdf]    ​
  6. Sungsu Lim, Joongbo Shin, Namju Kwak, and Kyomin Jung, "Phase Transitions for Information Diffusion in Random Clustered Networks," European Physical Journal B (EPJ B), Vol. 89, No. 9, 188, Sep. 2016 (SCI, IF(2016): 1.461)
    [pdf]
  7. 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), Vol. 88, No. 8, 201, Aug. 2015 (SCI, IF(2015): 1.223)
    [pdf]
  8. Sungsu Lim, Kyomin Jung, and Matthew 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)
    [pdf]
  9. Yishi Lin, John C. S. Lui, Kyomin Jung, and Sungsu 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
    [pdf]
  10. Sungsu Lim, Kyomin Jung, and John 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
    [pdf]

Conference Proceedings

  1. {Kyuhan Lee*, Hyeonsoo Jo*}, Jihoon Ko, Sungsu Lim, and Kijung Shin, "SSumM: Sparse Summarization of Massive Graphs," accepted to KDD 2020, Aug. 2020 (Top-tier, acceptance rate: 216/1279=17%)
    [pdf][code and datasets]
  2. Tae Hong Moon and Sungsu Lim, "Meta-learning on Graph with Curvature-based Analysis," Proc. 34th AAAI Conf. on Artificial Intelligence (AAAI), 2-page extended abstract, New York, USA, Feb. 2020 (Top-tier, student abstract)
    [pdf][poster]
  3. Jungeun Kim, Sungsu Lim, Jae-Gil Lee, and Byung Suk Lee, "LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding," Proc. 35th IEEE Int'l Conf. on Data Engineering (ICDE), pp. 2123-2124, Macau SAR, China, April 2019 (Top-tier, extended abstract)
    [pdf][poster]
  4. Sungsu Lim, Junghoon Kim, and Jae-Gil 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, acceptance rate: 99/395=25%)
    [pdf][slides][poster]
  5. Jungeun Kim, Minseo Kang, Sungsu Lim, and Jae-Gil 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
    [pdf]
  6. Sungsu Lim, Seungwoo Ryu, Sejeong Kwon, Kyomin Jung, and Jae-Gil 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, acceptance rate: 89/446=20%)
    [pdf][slides][poster]
  7. Yishi Lin, John C. S. Lui, Kyomin Jung, and Sungsu 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
    [pdf][slides by Yishi]
  8. Sungsu Lim, Kyomin Jung, and Matthew 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, acceptance rate: 278/1547=18%)
    [pdf]​[slides]

Workshops/Posters/Abstracts

  1. Sungsu Lim, Kyomin Jung, and John C. S. Lui, "Phase Transition of Multi-state Diffusion in Networks," The 15th Workshop on MAthematical performance Modeling and Analysis (MAMA), in conjunction with SIGMETRICS 2013, Pittsburgh, PA, USA, Jun. 2013
    [pdf][slides]
  2. Sungsu Lim and Kyomin Jung, "Generalized Mean-Field Approximation for Opinion Spreading in Social Networks," Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS), Cambridge, MA, USA, Nov. 2012
    [pdf][slides]
  3. Sungsu Lim, Namju Kwak, and Kyomin Jung, "Phase Transitions for Information Spreading in Random Clustered Networks with Arbitrary Contact Rates," Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS), Cambridge, MA, USA, Nov. 2012 & The 4th Workshop on Information in Networks (WIN), New York, NY, USA, Sep. 2012
    [pdf][poster-WIDS][poster-WIN]
  4. Kyomin Jung, Seulki Lee, and Sungsu Lim, "Analysis of Information Diffusion on Threshold Models in Arbitrary Networks," The 4th Workshop on Information in Networks (WIN), New York, NY, USA, Sep. 2012
    [pdf][poster]
  5. Sungsu Lim and Kyomin Jung, "Tipping Point of Information Spreading in Random Clustered Networks with Heterogeneous Contact Rates," The 3rd Workshop on Complex Networks (CompleNet), Melbourne, FL, USA, Mar. 2012
    [pdf][slides]

Domestic Publications

  1. Soohwan Jeong, Jongmin Park, and Sungsu Lim, "Triangulation-Based Embedding for Graph Clustering," Proc. 2019 Korea Software Congress (KSC, 한국소프트웨어종합학술대회), Pyeongchang, Korea, Dec. 2019.
    [pdf]
  2. Kyuyoung Shim, Soyeong Choi, Taeha Yu,  Myungsu Chae, Tae-Ho Kim, and Sungsu Lim, "A Mobile Emotion Recognition App. with Deep Learning Model Compression for the Blind and Visually Impaired," Proc. 2019 Korea Software Congress (KSC, 한국소프트웨어종합학술대회), Pyeongchang, Korea, Dec. 2019.
    [pdf]
  3. Hwan Kim, Hyungshin Kim, and Sungsu Lim, "Complex Event Detection Using Consecutive Signal Embedding," Proc. 21st Conf. on Electronics and Information Communications (CEIC, 전자정보통신 학술대회), 4 pages, Daejeon, Korea, Dec. 2019
    [pdf] 
  4. Sungsu Lim and Jae-Gil 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)
    [pdf][slides]
  5. Sungsu Lim, Heuna Kim, Wooram Heo, and Kyomin Jung, "Influence Maximization and Information Spreading in Social Networks," Communications of KIISE (정보과학회지), Vol. 29, No. 11, pp. 37-43, Nov. 2011 & KIPS Review (정보처리학회지), Vol. 18, No. 6, pp. 44-53, Nov. 2011
    [pdf-CKIISE][pdf-KIPSR]

Theses

  1. Sungsu Lim, "Transformation-Based Community Detection from Social Networks," Ph.D. Thesis, Graduate School of Knowledge Service Engineering, KAIST, Aug. 2016
    ​​[pdf][slides]
  2. Sungsu Lim, "Learning Sparse DAG Models Based on Continuous Type Data," Master's Thesis, Dept. of Mathematical Sciences, KAIST, Jan. 2011
    ​    ​[pdf]
* Science Citation Index (SCI): http://ip-science.thomsonreuters.com/cgi-bin/jrnlst/jlsearch.cgi?PC=K
* Science Citation Index Expanded (SCIE): http://science.thomsonreuters.com/cgi-bin/jrnlst/jlsearch.cgi?PC=D
* Impact Factor (IF): http://admin-router.webofknowledge.com/?DestApp=JCR
* Top-Tier Conferences selected by KIISE: https://bkplus.nrf.re.kr/board/boardView.jsp?boardId=BOARD_NOTICE&bbsSeq=BO_1520239173055&menuId=3