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
CANADA V5A 1S6

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 transcripts, 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.

News


2019/01/19
Want to enrich your local database with Deep Websites (e.g., Yelp, IMDb, DBLP)? Please check out our recent paper, entitled "Progressive Deep Web Crawling Through Keyword Queries For Data Enrichment.", in SIGMOD 2019!
2019/01/11
I visited the Data Analytics and Intelligence Lab (DAIL) at Alibaba Group and gave a talk to introduce our lab's research (hosted by Dr. Bolin Ding)
2019/01/10
I visited the Data Management, Exploration and Mining (DMX) group at Microsoft Research and gave a talk to introduce our lab's research (hosted by Dr. Yeye He)
2019/01/03
2019/01/02
Welcome new lab members: Xiaoying Wang (M.Sc.) and Lydia Zheng (Undergrad)!
2018/11/16
Want to fill the gap between learning with noisy labels and ground-truth labels? Please check out our recent paper, entitled "Cleaning Crowdsourced Labels Using Oracles For Statistical Classification.", in VLDB 2019!
2018/09/08
I am teaching CMPT 354: Database Systems for Fall Semester 2018.
2018/09/05
Received a Mitacs Accelerate fund ($990,000) for our proposal: "Democratizing Data Preparation for AI" (PI).
2018/08/31
Congratulations to Mohamad Dolatshah for successfully defending his M.Sc. thesis.
2018/08/03
I visited the Product Graph Team at Amazon and gave a talk to introduce our lab's research. (hosted by Dr. Xin Luna Dong)
2018/04/18
I am thrilled to win IEEE TCDE Rising Star Award for my contribution to human-in-the-loop data analytics.
    

Recent Publications [DBLP] [Google Scholar]


2019

2018

2017

2016

2015

 

Students


Current Students and Postdocs

Former Students

 

Teaching


 

Awards


  • 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)

 

Professional Activities


Program Committee

  • SIGMOD: 2019 (core PC), 2018, 2017, 2016, 2016 (demo)
  • VLDB: 2018, 2018 (demo), 2017 (demo)
  • KDD: 2019, 2018
  • WWW: 2017
  • SDM (2018)
  • CIKM (2017)
  • HCOMP: 2019, 2016
  • ICDE/TKDE poster: 2017, 2016
  • DASFAA: 2019, 2019 (demo)
  • WAIM: 2018, 2017, 2016, 2015, 2014
  • APWeb: 2017, 2016

Chairing

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

Others

  • 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.