Chunbin Lin

PhD Candidate
Department of Computer Science and Engineering
University of California, San Diego

Office: EBU3B 3232

Chunbin Lin is currently a PhD candidate in the Department of Computer Science and Engineering at University of California, San Diego (UCSD). He is a member of Database Lab. He is supervised by Prof. Yannis Papakonstantinou. He leads the GQFast project (GQFast: Fast In-Memory SQL Analytics on Typed Graphs). He also leads the Plato project (Plato: Approximate Query Processing on Compressed Time Series with Tight Deterministic Error Guarantees).

Prior to that, he got his B.S. and M.S. degrees from the School of Information at Renmin University of China (RUC) in 2010 and 2013, respectively. His advisor in RUC is Prof. Jiaheng Lu.

Chunbin's research interest is improving the query processing performance and/or reducing the space cost in big data analytics. In particular, he mainly focuses on the following aspects:

  • Query processing on compressed data
    • Analytic queries on compressed time series [HDMS17]
    • SQL queries on compressed databases [PVLDB16a, PVLDB16b, ICDE17]
    • Keyword search queries on compressed web data [CIDR17, PVLDB17, SIGMOD17]
  • Approximate entity matching (support semantic and syntactic similarities) [SIGMOD13, TODS15, ICDE17]
  • Top-k query answering [SIGMOD12, PVLDB J. 18]
  • Querying semi-structure data [ICDE12, DEXA12, WWW17]

Publications ([DBLP], [Google Scholar])

Conference Papers
Journal Papers

Academic service

Teaching Assistantships