•  A Deep Learning Approach for Forecasting Air Pollution in South Korea Using LSTM
      Bui, Tien-Cuong, Van-Duc Le, and Sang-Kyun Cha
      arXiv preprint arXiv:1804.07891 (2018). (Accepted to BIC 2018)
  • Real-time Air Pollution prediction model based on Spatiotemporal Big data
      Le, V. Duc, and Sang Kyun Cha
      arXiv preprint arXiv:1805.00432 (2018). (Accepted to BIC 2018)
  • Parallel replication across formats for scaling out mixed OLTP/OLAP workloads in main-memory databases
      Juchang Lee, Wook-Shin Han, Hyoung Jun Na, Chang Gyoo Park, Kyu Hwan Kim, Deok Hoe Kim, Joo Yeon Lee, Sang Kyun Cha, SeungHyun Moon
      The VLDB Journal (2018) 27: 421.
  • Parallel Replication across Formats in SAP HANA for Scaling Out Mixed OLTP/OLAP Workloads
      Juchang Lee, SeungHyun Moon, Kyu Hwan Kim, Deok Hoe Kim, Sang Kyun Cha, Wook-Shin Han, Chang Gyoo Park, Hyoung Jun Na, Joo-Yeon Lee
      PVLDB 10(12): 1598-1609 (2017)
  • Optimizing Scalar User-Defined Functions in In-Memory Column-Store Database Systems.
      Cheol Ryu, Sunho Lee, Kihong Kim, Kunsoo Park, Yong Sik Kwon, Sang Kyun Cha, Changbin Song, Emanuel Ziegler, Stephan Muench
      DASFAA (2) 2017: 568-580
  • Collaborative Analytics for Data Silos
      HS Ha, BG Chun, SR Yoon, SK Cha
      ICDE, IEEE Transactions on, 2016
  • Interval Disaggregate: A New Operator for Business Planning
      Sang K. Cha, Kunsoo Park, Changbin Song, Kihong Kim, Cheol Ryu, Sunho Lee
      PVLDB 7(13): 1381-1392 (2014)
  • A Performance Anomaly Detection and Analysis Framework for DBMS Development
      D Lee, SK Cha, AH Lee
      Knowledge and Data Engineering, IEEE Transactions on, Aug 2012
  • SAP HANA database: data management for modern business applications
      F Färber, SK Cha, J Primsch, C Bornhövd, S Sigg, Wolfgang Lehner
      Newsletter, ACM SIGMOD Record Volume 40 Issue 4, Dec 2011
  • Efficient transaction processing in SAP HANA database: the end of a column store myth
      V Sikka, F Färber, W Lehner, SK Cha, T Peh, Christof Bornhövd
      SIGMOD ’12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
  • US Patent 7305421 with 56 claims and 12 drawing sheets:
      “Parallelized redo-only logging and recovery for highly available main-memory database systems,” 2007년 12월 4일(공동 저자: JuChang Lee, KiHong Kim)
  • US Patent 7293028 with 14 claims and 13 drawing sheets:
      “Cache-conscious concurrency control scheme for database systems,” 2007년 11월 6일 (공동 저자: Sangyong Hwang, KiHong Kim, Keunjoo Kwon)
  • US Patent 7283987 with 16 claims and 26 drawing sheets:
      “Compression Scheme for Improving Cache Behavior in Database Systems,” 2007년 10월 16일 (공동 저자: KiHong Kim, Keunjoo Kwon)
  • US Patent 7065537 with 37 claims and 19 drawing sheets:
      “Method and system for highly parallel logging and recovery operation in main-memory transaction processing systems,” 2006년 6월 20일 (공동 저자: JuChang Lee, KiHong Kim): Europe Patent 1320802 로도 2005년 3월 30일 등록 되었음.
  • P*TIME: Highly Scalable Memory-Centric OLTP DBMS for Managing Update-Intensive Stream Workload.
      SK Cha, C Song
      In Proceedings of VLDB 2004 Conference, August, 2004.
  • Cache-Conscious Concurrency Control of Main-Memory Indexes on Shared-Memory Multiprocessor Systems.
      SK Cha, S Hwang, K Kim, K Kwon
      In Proceedings of VLDB 2001 Conference, pages 181-190, September, 2001.
  • Optimizing Multidimensional Index Trees for Main Memory Access.
      K Kim, SK Cha, K Kwon
      In Proceedings of ACM SIGMOD 2001, May, 2001.
  • Differential Logging: A Commutative and Associative Logging Scheme for Highly Parallel Main Memory Database.
      J Lee, K Kim, SK Cha
          In Proceedings of ICDE Conference, pages 173-182, April, 2001.