Chunbin Lin

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

Office: EBU3B 3232
Email:

Biography
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 for big graph analytics. He also works on Plato project (A model-based database for sensor data).

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

Advising
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)

Internships

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