Jiannan Wang

Jiannan Wang

Assistant Professor
School of Computing Science
Simon Fraser University

Postdoc in the AMPLab at UC Berkeley (2015)
Ph.D. at THU (2013), B.Sc. at HIT (2008)

Research Areas: Database Systems, Big Data Science

Office: TASC 1 9237
Phone: 1-778-782-4288
Email: jnwang@sfu.ca

8888 University Drive
Burnaby, BC

Open positions: If you would like to work with me on big data science research in the beautiful Greater Vancouver area, please email me your resume, a copy of undergraduate/graduate transcript, and a short statement of research interests, with the following subject: [PhD/Master/Visiting Application] Name+Major+School.

Research Interests

The mission of our lab is to speed up data science. We develop innovative technologies and open-source tools for data scientists such that they can turn raw data into actionable insights in a more efficient manner. Our current research topics include:
  • Data Cleaning for Machine Learning
  • Crowdsourced Data Cleaning
  • Data Enrichment with Deep Web
  • Interactive Analytics Over Big Data
Our lab's research is generously supported in part by NSERC, PHEMI, Simba, Traction on Demand, UMF, Vancity.


Please check out a collection of great projects from SFU Big Data students. I am very proud to hear that one of the projects won the international Open AI Challenge.
I am thrilled to win IEEE TCDE Rising Star Award for my contribution to human-in-the-loop data analytics.
The Deeper demo paper got accepted by SIGMOD 2018.
We are super excited to announce the release of Deeper v0.1, a data enrichment system powered by deep web (system, video, paper).
I was invited to give a talk to introduce SFU DB/DM group at the NWDS Annual Meeting (slides).
Welcome Liang Zhao (Postdoc) to join our lab. Dr. Zhao got her Ph.D. from Tsinghua University, and she is interested in the research topic of data cleaning for machine learning.
Congratulations to Ruochen Jiang, who won an SFU entrance scholarship.
Welcome Xi Yang to join our lab. Xi Yang is an undergrad from SFU/ZJU Dual Degree Program. He is interested in the research topic of interactive analytics over Big Data.
Want to analyze Big Data interactively? Please check out our recent paper on interactive analytics, entitled "AQP++: Connecting Approximate Query Processing With Aggregate Precomputation for Interactive Analytics.", in SIGMOD 2018!
Our paper, entitled "Preference-driven Similarity Join", won a Best Student Paper Award at the IEEE/WIC/ACM WI 2017 conference.
Congratulations to Mathew Teoh, who will be joining Quora as a Data Scientist.
I visited the UBC database group and gave a talk entitled Speeding Up Data Science: From a Data Management Perspective.
Received an NSERC CRD Grant for our proposal: "Entity Augmentation and Data Cleaning for Machine Learning" (PI).

Recent Publications [DBLP] [Google Scholar]







Current Students and Postdocs

Visiting Students

Former Students

  • Mathew Teoh (SFU, 2016-2017, now Data Scientist at Quora)





  • IEEE TCDE Rising Star Award (2018)
  • IEEE/WIC/ACM Web Intelligence (WI) Best Paper Award (2017)
  • ACM SIGMOD Best Demonstration Award (2016)
  • China Computer Federation (CCF) Distinguished Dissertation Award (2013)
  • Google Ph.D. Fellowship (2011)


Profressional Activities

Program Committee

  • WWW (2017)
  • SIGMOD (2019, 2018, 2017, 2016), SIGMOD Demo (2016)
  • VLDB (2018), VLDB Demo (2018, 2017)
  • KDD (2018)
  • SDM (2018)
  • CIKM (2017)
  • HCOMP (2016)
  • ICDE/TKDE poster (2017, 2016)
  • WAIM (2017, 2016, 2015, 2014)
  • APWeb (2017, 2016)


  • SIGMOD 2017 Registration Chair
  • WISE 2017 Publicity Co-Chair


  • SFU Big Data Academic Advisory Committee Member (2017 - now)
  • SFU KEY / Vancity Relationship Steering Committee Member (2017 - now)


  Adapted from a template by Liwen Sun.