Conference Proceedings

  1. Sangkeun Jung and Sungsu Lim, "Cluster-aware Semantic Vector Learning using BERT in Natural Language Understanding," Proc. 8th Int'l Conf. on Big Data and Smart Computing (BigComp), pp. 91-98, Virtual Conference, Jan. 2021
  2. {Kyuhan Lee*, Hyeonsoo Jo*}, Jihoon Ko, Sungsu Lim, and Kijung Shin, "SSumM: Sparse Summarization of Massive Graphs," Proc. 26th ACM SIGKDD Int'l Conf. on Knowledge Discovery & Data Mining (KDD), pp. 144-154, Virtual Conference, Aug. 2020 (Top-tier, acceptance rate: 216/1279=17%)
  3. 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)
  4. 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)
  5. 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%)
  6. 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
  7. 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%)
  8. 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
  9. 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%)

Journal Publications

  1. Hwan Kim and Sungsu Lim, "Temporal Patternization of Power Signature for Appliance Classification in NILM," Energies, Vol. 14, No. 10, 2931, May 2021 (SCI, IF(2019): 2.702)
  2. 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)
  3. ​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)
  4. 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)
  5. 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)
  6. 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)​
  7. 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)
  8. 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)
  9. 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)
  10. 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 (SCIE)
  11. 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

Workshops/Posters/Abstracts

  1. Jin-woo Lee, Jaehoon Oh, Sungsu Lim, Se-Young Yun, and Jae-Gil Lee, "TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture," AAAI 2021 Workshop: Toward Robust, Secure and Efficient Machine Learning (RSEML), Virtual Conference, Feb. 2021
  2. 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
  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
  4. 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
  5. Sungsu Lim, Namju Kwak, and Kyomin Jung, "Phase Transitions for Information Spreading in Random Clustered Networks with Arbitrary Contact Rates," The 4th Workshop on Information in Networks (WIN), New York, NY, USA, Sep. 2012
  6. 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
  7. 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

Domestic Publications

  1. 김정선, 정수환, 임성수, 그래프 링크 속성 분류를 통한 커뮤니티 발견, 정보과학회논문지, accepted
  2. 조승현, 이상화, 김수민, 김주희, 채명수, 임성수, 분류를 위한 차등 프라이버시 보호 연합 학습, 한국통신학회 동계종합학술발표회, 2021년 2월, Virtual.
  3. 김정선, 임성수, 그래프 링크 속성 분류를 통한 커뮤니티 발견, 한국소프트웨어종합학술대회(KSC), 2020년 12월, Virtual.
  4. 김환, 정상근, 임성수, 시계열 패턴화를 통한 NILM 기기 분리, 한국소프트웨어종합학술대회(KSC), 2020년 12월, Virtual.
  5. 정수환, 박종민, 임성수, 그래프 클러스터링을 위한 삼각 분할 기반 임베딩, 한국소프트웨어종합학술대회(KSC), 2019년 12월, 강원도 평창.
  6. 심규영, 최소영, 유태하, 채명수, 김태호, 임성수, 딥러닝 모델 압축 기술을 활용한 시각장애인 대화 보조용 감정 인식 어플리케이션, 한국소프트웨어종합학술대회(KSC), 2019년 12월, 강원도 평창.
  7. 김환, 김형신, 임성수, 연속 신호 임베딩을 통한 복합 이벤트 탐지, 전자정보통신학술대회(CEIC), 2019년 12월, 대전.
  8. 임성수, 이재길, Transformation-Based Community Detection from Social Networks, 통신정보 합동학술대회(JCCI), 2016년 4월, 강원도 속초. (초청논문)
  9. 임성수, 김현아, 허우람, 정교민, 소셜 네트워크 내 정보 확산 최적화 및 상전이 현상 연구, 정보처리학회지(KIPS Review), 18(6):44-53, 2011년 11월. (기고문)
  10. 임성수, 김현아, 허우람, 정교민, 소셜 네트워크 내 정보 확산 최적화 및 상전이 현상 연구, 정보과학회지(Communications of KIISE), 29(11):37-43, 2011년 11월. (기고문)

Theses

  1. Sungsu Lim, "Transformation-Based Community Detection from Social Networks," Ph.D. Thesis, Graduate School of Knowledge Service Engineering, KAIST, Aug. 2016
  2. Sungsu Lim, "Learning Sparse DAG Models Based on Continuous Type Data," Master's Thesis, Dept. of Mathematical Sciences, KAIST, Jan. 2011
* Science Citation Index (SCI), Science Citation Index Expanded (SCIE): https://mjl.clarivate.com/home
* Impact Factor (IF): https://jcr.clarivate.com/JCRLandingPageAction.action
* Top-Tier Conferences selected by KIISE: https://www.kiise.or.kr/academy/main/getContent.fa?content_no=73&MENU_ID=130100