[8/2019] Invited to serve as a PC member for AAAI'20.
[7/2019] Our book Detecting Fake News on Social Media is online.
[6/2019] Received the student travel award for KDD'19.
[6/2019] Two papers are accepted in ASONAM'19.
[6/2019] Invited talk at Microsoft Research AI Power Lunch talk series on fake news detection.
[4/2019] One paper on "Explainable Fake News Detection" is accepted in KDD'19.
[4/2019] Our tutorial on "Fake News Research: Theories, Detection Strategies, and Open Problems" is accepted in KDD'19. See you in Anchorage, Alaska!
[3/2019] One paper on exploiting emojis for sarcasm detection got accepted at SBP.
[3/2019]I was invited to serve as a PC member in ASONAM'19, and SIGIR workshop on Reducing Online Misinformation Exposure (ROME'19).
[2/2019] Our WSDM paper on fake news detection is nicely featured in the morning paper
[1/2019] Invited blog post on Can AI help discern fact from fake on social media?.
[May 2019 - August 2019]
Research Intern at Microsoft AI Research, Redmond, WA, USA.
[Aug. 2015 - Present]
Research Assistant at DMML, Arizona State University, Tempe, AZ, USA.
[May 2018 - August 2018]
Research Intern at Yahoo! Research, Sunnyvale, CA, USA.
[Jul. 2014 - June 2015]
Research visiting student at ICT, Chinese Academy of Sciences, Beijing, China.
[Mar. 2012 - Sept. 2013]
Research Intern at HP Labs China, Beijing, China.
I am a fourth year PhD student in the Department of Computer Science and Engineering at Arizona State University, Tempe, AZ. I am a research assistant at the Data Mining and Machine Learning Lab (DMML). My advisor is Professor Huan Liu. My research lies in social computing, data mining and machine learning. My research is highly interdisciplinary and I closely collaborate with social scientists and computational journalists. My research interests are machine learning, data mining, and social media mining. Recently, I am actively working on fake news detection on social media.
Detecting Fake News on Social Media
Morgan & Claypool Publishers, 2019