[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 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