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 the 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 works on Plato project (PlatoDB: Approximating Online Time Series Queries with Deterministic Error Guarantees).

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

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

  • Accelerate Querying Compressed Data (mainly focus on compressed graphs and compressed time series)
  • String Similarity Join (both semantic and syntactical similarities)
  • Optimize Query Processing (mainly focus on OLAP queries and top-k queries)

Publications ([DBLP], [Google Scholar])

Selected Papers (See full list here)

Academic service

It is a great pleasure for me to work with these excellent students.
  • Current:
    Sai Padigi (MS, UCSD)
    Sujith Vadakkepat (MS, UCSD)
    Frank Sun (MS, Washington University in St. Louis)

  • Alumni:
    Meng Xue (MS, UCSD, 2014; First employment: Oracle)
    Benjamin Mandel (MS, UCSD, 2014)
    Matthias Springer (Visiting student, UCSD, 2014; PhD at Tokyo Institute of Technology)


Honors & Awards
  • Fellowship at UCSD, 2013-2014
  • Outstanding Graduate in Renmin University of China, 2013
  • Google Excellence Scholarship, Google Inc. 2012. [Certification]
  • Kwang-Hua Scholarship, Kwang-Hua Education Foundation, Nov. 2012