Jiliang Tang

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 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 2507C Mail: 428 S Shaw Ln Rm 3115, East Lansing, MI 48824 Voice: +1 517-432-0608

News

• WSDM18 calls for workshop proposals: More information
• 2 papers are accepted by KDD2017
• I am invited to attend the Adobe Data Science Symposium
• 1 paper titled ``Large-scale Location Prediction for Web Pages" is accepted by IEEE Trans on Knowledge and Data Engineering (TKDE)
• 1 paper is acctepd by IJCAI2017
• 1 paper titled ``Facilitating Time Critical Information Seeking in Social Media" is accepted by IEEE Trans on Knowledge and Data Engineering (TKDE)
• Our dimension reduction package is among 5 Machine Learning Projects You Can No Longer Overlook
• 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
• My student Tyler Derr and I will give an invited lecture for the department of education about signed network analysis
• My student Tyler Derr received a NSF travel grant to attend SDM2017.
• 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
• 4 papers are accepted by SDM2017
• 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

Research Interests

• Social Network Analysis/Social Computing/Computational Social Science
• Computational Health/Social Interaction Analysis/Behavioral Analysis
• Text Mining/Web Mining/Data Mining
• Dimension Reduction/Similarity Learning/Machine Learning