Jiliang Tang

Jiliang photo 

Jiliang Tang is an assistant professor in the computer science and engineering department at Michigan State University since Fall@2016. Before that, he was a research scientist in Yahoo Research and got his PhD from Arizona State University in 2015. He has broad interests in social computing, data mining and machine learning and is directing the Data Science and Engineering Lab . He was the recipients of the Best Student Paper Award in WSDM2018, the Best Paper Award in KDD2016, the runner up of the Best KDD Dissertation Award in 2015, Dean's Dissertation Award and the best paper shortlist of WSDM2013. He has published his research in highly ranked journals and top conference proceedings, which received thousands of citations (Google Scholar) and extensive media coverage (Links).

Email: tangjili at msu dot edu
Office: Engineering Building 2148
Mail: 428 S Shaw Ln Rm 3115, East Lansing, MI 48824

Research Interests

  • Feature Learning: Feature Selection and Extraction, Network Representation Learning, Deep Learning
  • Network Analysis: Signed Networks, Network Modeling and Measuring, Information Difussion
  • Trust, Privacy,and Security: Trust Computing, Data Privacy, Misinformation, Fake News and Urban Security
  • Computational Health: Mental Health, Weight Management, Virtual Doctor

News

  • 03/2018: Invited to serve the vice program committee chair of IEEE BIGDATA 2018
  • 02/2018: My student Hamid Karimi Won best oral presentation in 10th MSU Graduate Academic Conference
  • 02/2018: My students Haochen and Xiangyu received a travel award to attend SDM2018 and participate in the Doctoral Forum
  • 02/2018: Won the best student paper award from WSDM2018
  • 01/2018: Gratefully receive a grant from MSU Business Center
  • 01/2018: 1 paper is accepted by IEEE Access and 1 paper is accepted by ICC
  • 12/2017: 2 papers are accepted by TKDE
  • 12/2017: 2 papers are accepted by WWW2018
  • 12/2017: Gratefully receive an award from the American Educational Research Association (AERA) to support our education research
  • 12/2017: I am elected as the secretary of the SIAM activity group on data mining and analytics
  • 11/2017: I am invited to give a keynote speech at HeteroNAM@WSDM2018
  • 11/2017: A Survey on Dialogue Systems:Recent Advances and New Frontiers is to appear in SIGKDD Explorations
  • 10/2017: 4 papers are accepted by WSDM2018
  • 10/2017: I am invited to serve as the associate editor of ACM Transactions on Knowledge Discovery from Data (TKDD)
  • 10/2017: A survey about ``Fake News Detection on Social Media:A Data Mining Perspective" , KDNuggets Blog , Most Shared Last Week
  • 10/2017: I will serve as the information director of ACM Transactions on Knowledge Discovery from Data (TKDD)
  • 09/2017: I will serve as the proceeding co-chair of KDD18
  • 09/2017: 1 paper is accepted by ACM Computing Surveys
  • 09/2017: 1 paper is accepted by SIGKDD Explorations
  • 09/2017: My students Zhiwei and Xiangyu received travel awards to attend CIKM2017
  • 08/2017: Gratefully receive a NSF grant (IIS-1714741) as the PI to support our research on unsupervised feature selection for big data
  • 08/2017: I am invited to give a keynote speech in MLG@KDD
  • 08/2017: Job Matching Program in KDD2017
  • 08/2017: 4 papers are accepted by CIKM2017, especial congratulations to Zhiwei, Tyler and Xiangyu for their first papers with DSE@MSU
  • 07/2017: WSDM18 calls for workshop proposals: More information
  • 07/2017: Gratefully receive a NSF grant (IIS-1715940) as the PI to support our research on dynamic attributed networks
  • 07/2017: 1 paper is accepted by TIST
  • 07/2017: My students Tyler and Daniel received travel grants to attend KDD17
  • 05/2017: 1 paper is accepted by KDD2017
  • 05/2017: I am invited to attend the Adobe Data Science Symposium
  • 05/2017: 1 paper titled ``Large-scale Location Prediction for Web Pages" is accepted by IEEE Trans on Knowledge and Data Engineering (TKDE)
  • 04/2017: 1 paper is acctepd by IJCAI2017
  • 04/2017: 1 paper titled ``Facilitating Time Critical Information Seeking in Social Media" is accepted by IEEE Trans on Knowledge and Data Engineering (TKDE)
  • 04/2017: Our dimension reduction package is among 5 Machine Learning Projects You Can No Longer Overlook
  • 04/2017: A tutorial "Recent Advances in Feature Selection: A Data Perspective" is accepted by KDD2017. It is based on our survey paper and the software scikit-feature
  • 03/2017: My student Tyler Derr and I will give an invited lecture for the department of education about signed network analysis
  • 03/2017: My student Tyler Derr received a NSF travel grant to attend SDM2017.
  • 02/2017: Gratefully receive a NSF grant (IIS-1719275) as the PI to support students to attend SDM17
  • 02/2017: Gratefully receive two grants from CBSA to support our misinformation research
  • 12/2016: The online home of Data Science and Engineering Lab at MSU! If you want to know recent research and openings from DSE Lab, please visit our home
  • 12/2016: 4 papers are accepted by SDM2017
  • 11/2016: Gratefully receive a grant from TRIFECTA
  • 10/2016: 3 papers are accepted by WWW2017
  • Our survey paper "User Identity Linkage across Online Social Netwroks: A Review" is to appear in SIGKDD Explorations
  • 2 papers are accepted by AAAI2017
  • I will serve as the job matching chair of KDD2017
  • 1 paper titled "Delving Deep into Personal Photo and Video Search" is accepted by WSDM2017
  • Kenote Speeches in 2016: AAAI WIT-EC 2016 , Big Network Analytics Workshop
  • Our article about research trends in social media " The good, the bad, and the ugly: uncovering novel research opportunities in social media mining "
  • Depature from Yahoo! Inc and join the CSE department of Michigan State University as an assistant professor
  • Won the best paper award in the applied data science track from KDD2016
  • I will serve as the sponsorship chair of SDM2017 and the workshop co-chair of WSDM2018
  • A Survey of Signed Network Mining in Social Media is accepted by ACM Computing Suverys
  • News coverage of our paper on "Predicting Online Protest Participation of Social Media Users" -- Defenceone.com , mic.com , timeofindia , inverse.com , usinessinsider.in , newindianexpress.com , business-standard.com , freepressjournal.in , bgr.in , nextgov.com , newsgram.com , newkerala.com
  • scikit-feature, an open-source feature selection repository in Python, -- News Blog , kdNuggets
  • I serve as the post chair of KDD2016. KDD Call for Papers
  • Our Book " Trust in Social Media '' is online available