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 for big graph analytics. He also works on Plato project (A model-based database for sensor data) and GNPS project (Big data analytics in Chemical databases).

Prior to that, he got his B.S. and M.S. degrees from School of Information at Renmin University of China (RUC) in 2006 and 2010, 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
  • String Similarity Join
  • Semi-Structure Database Management

Publications [DBLP]

Conference Papers
Journal Papers

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)

Academic service



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

Demo Systems
GQ-Fast: A Context-aware Graphical System for Exploring Big Graph via Auto-Completion

Fashionista: A Fashion-aware Graphical System for Exploring Visually Similar Items
LotusX: A Position-Aware XML Graphical Search System with Auto-Completion