big data laboratory


Big Data - Data Mining - Machine Learning - Social Network Analysis

About us


(This image is from www.canddi.com)
The Big Data Laboratory at Sungkyunkwan University is a research group focusing on scientific data analysis. The group is engaged in fundamental research on diverse aspects of big data with emphasis on developing novel computational algorithms for massive and complex data sets that arise in varied scientific and industrial applications.

Professor

Joyce Jiyoung Whang


  • Assistant Professor, Department of CSE, SKKU (Mar. 2016~)
  • Email: jjwhang@skku.edu
  • Office: Engineering Building 2, #27326
  • Education
  • Research Interests
      Community Detection, Overlapping Clustering, Large-Scale Graph Partitioning, Graph Theory, Bioinformatics.
  • Curriculum Vitae
  • Students


    MS Students


    정연성(Yeonsung Jung)
    Email: ys.jung@skku.edu
    Research Interests: Web Mining, Graph Analytics
    B.S. in Computer Science and Engineering & Statistics, SKKU.


    TEL: 82-31-299-4627
    OFFICE: Engineering Building 2, #26315B


    정상원(Sangwon Jung)
    Email: s.jung@skku.edu
    Research Interests: Clustering, Online Learning
    B.S. in Computer Science & Mathematics, SKKU.


    TEL: 82-31-299-4627
    OFFICE: Engineering Building 2, #26315B


    강병일(Byoungil Kang)
    Email: kbi8319@naver.com
    Research Interests: Social Network Analysis, Online Learning
    B.S. in Computer Science, SKKU.


    TEL: 82-31-299-4627
    OFFICE: Engineering Building 2, #26315B


    이우중(Woojoong Lee)
    Email: wj.lee@skku.edu
    Research Interests: Community Detection, Graph Analytics
    B.S. in Computer Science & Mathematics, SKKU.


    TEL: 82-31-299-4627
    OFFICE: Engineering Building 2, #26315B

    BS Students



    이 건(Geon Lee)
    Email: geonlee@skku.edu
    Research Interests: Social Network Analysis, Clustering


    TEL: 82-31-299-4627
    OFFICE: Engineering Building 2, #26315B



    변재석(Jaeseok Byun)
    Email: wotjr3868@naver.com
    Research Interests: Graph Analytics, Graph Mining


    TEL: 82-31-299-4627
    OFFICE: Engineering Building 2, #26315B



    이계준(Kyejoon Lee)
    Email: hj537@naver.com
    Research Interests: Data Mining, Graph Mining


    TEL: 82-31-299-4627
    OFFICE: Engineering Building 2, #26315B

    Selected Publications



    • Non-exhaustive, Overlapping Clustering
      J. J. Whang, Y.Hou, D. F. Gleich, and I. S. Dhillon
      IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.
      Download: [preprint]

    • Non-exhaustive, Overlapping Co-Clustering
      J. J. Whang and I. S. Dhillon
      ACM International Conference on Information and Knowledge Management (CIKM), 2017.
      Download: [paper] [poster] [bibtex]

    • An Empirical Study of Community Overlap: Ground-truth, Algorithmic Solutions, and Implications
      J. J. Whang
      ACM International Conference on Information and Knowledge Management (CIKM), 2017.
      Download: [paper] [poster] [bibtex]

    • Overlapping Community Detection Using Neighborhood-Inflated Seed Expansion
      J. J. Whang, D. F. Gleich, and I. S. Dhillon
      IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016.
      Download: [paper] [code] [bibtex]

    • Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping Clustering
      Y. Hou, J. J. Whang, D. F. Gleich, and I. S. Dhillon
      SIAM International Conference on Data Mining (SDM), 2016.
      Download: [paper] [bibtex]

    • Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming
      Y. Hou*, J. J. Whang*, D. F. Gleich, and I. S. Dhillon
      (* authors in alphabetical order with equal contribution)
      ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2015.
      Download: [paper] [slides] [poster] [bibtex]

    • Scalable Data-driven PageRank: Algorithms, System Issues, and Lessons Learned
      J. J. Whang, A. Lenharth, I. S. Dhillon, and K. Pingali
      International European Conference on Parallel and Distributed Computing (Euro-Par), 2015.
      Download: [paper] [bibtex]

    • Non-exhaustive, Overlapping k-means
      J. J. Whang, I. S. Dhillon, and D. F. Gleich
      SIAM International Conference on Data Mining (SDM), 2015.
      Download: [paper] [poster] [code] [bibtex]

    • Overlapping Community Detection Using Seed Set Expansion
      J. J. Whang, D. F. Gleich, and I. S. Dhillon
      ACM International Conference on Information and Knowledge Management (CIKM), 2013.
      Download: [paper] [slides] [code] [ bibtex]

    • Stochastic Blockmodel with Cluster Overlap, Relevance Selection, and Similarity-Based Smoothing
      J. J. Whang, P. Rai, and I. S. Dhillon
      IEEE International Conference on Data Mining (ICDM), 2013.
      Download: [paper] [slides] [bibtex]

    • Scalable and Memory-Efficient Clustering of Large-Scale Social Networks
      J. J. Whang, X. Sui, and I. S. Dhillon
      IEEE International Conference on Data Mining (ICDM), 2012.
      Download: [paper] [slides] [bibtex]

    • Scalable Clustering of Signed Networks using Balance Normalized Cut
      K. Chiang, J. J. Whang, and I. S. Dhillon
      ACM International Conference on Information and Knowledge Management (CIKM), 2012.
      Download: [paper] [slides] [bibtex]

    • Parallel Clustered Low-rank Approximation of Graphs and Its Application to Link Prediction
      X. Sui, T. Lee, J. J. Whang, B. Savas, S. Jain, K. Pingali, and I. S. Dhillon
      International Workshop on Languages and Compilers for Parallel Computing (LCPC), 2012.
      Download: [paper] [bibtex]


    Projects





    NAVER

    ▶ 그래프 구조 분석을 이용한 검색엔진 성능 향상
          2017년 5월 ~ 현재, 과제 책임자




    삼성전자

    ▶ TP 센터 Chip Damage 검출 모델링
          2017년 1월 ~ 현재, 공동 연구




    SK 브로드 밴드

    ▶ IPTV 시청 패턴 마이닝을 통한 사용자 모델링
          2016년 3월 ~ 현재, 과제 책임자



    한국연구재단

    ▶ 거대 소셜 네트워크의 클러스터링 구조를 활용한 정보 전파 메커니즘 모델링
          2016년 11월 ~ 현재, 과제 책임자
    ▶ 지능형 바이저 기반 오감플러스 ICT 융합연구
          2018년 4월 ~ 현재, 과제 책임자
    ▶ 첨단 인터랙션을 위한 기반 소프트웨어 융합기술 연구
          2017년 8월 ~ 현재, 공동 연구


    학부연구생 모집


    ▶ 내용
          데이터 마이닝, 그래프 마이닝, 기계학습 및 소셜 네트워크 분석에 관심있는 학생들을 대상으로
          빅데이터 연구실에서 세미나 진행 및 기초 연구역량 함양.

    ▶ 지원자격
          대학원 진학에 관심이 있는 학부 3학년 혹은 4학년 학생.

    ▶ 지원절차
          jjwhang@skku.edu간단한 자기소개송부.

    Contact us