Ph.D. Student
Brickyard Suit, 699 S Mill Ave, Tempe, AZ 85281

Google Scholar DBLP

 

News and Highlights

[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

[2/2019] Students’ Fresh Perspectives Lead ASU Researcher to Success.

[1/2019] Invited blog post on Can AI help discern fact from fake on social media?.

[12/2018] I demonstrated FakeNewsTracker in the Global Engagement Center (GEC)'s Tech Innovation Program by the US Department of State.

 

Research Experience

  
[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          
     Detecting Fake News on Social Media

     Morgan & Claypool Publishers, 2019

 

Preprints


Tutorials

  • Fake News Research: Theories, Detection Strategies, and Open Problems.
    [PDF][Website]
    Reza Zafarani, Xinyi Zhou, Kai Shu, and Huan Liu.
    25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019).
  • Fake News: Fundamental Theories, Detection Strategies and Challenges.
    [PDF][Website][Media Coverage]
    Xinyi Zhou, Reza Zafarani, Kai Shu, and Huan Liu.
    Proceedings of 12th ACM International Conference on Web Search and Data Mining (WSDM 2019).

Books or Book Chapters

  • Detecting Fake News on Social Media. [Flyer][Website]
    Kai Shu and Huan Liu.
    Morgan & Claypool Publishers, 2019.
  • Studying Fake News via Network Analysis: Detection and Mitigation. [PDF]
    Kai Shu, H. Russell Bernard, and Huan Liu.
    Lecture Notes in Social Network (LNSN), Springer Press, 2018.

Journal Papers

  • FakeNewsTracker: A Tool for Fake News Collection, Detection, and Visualization. [PDF]Poster][Demo]
    Kai Shu, Deepak Mahudeswaran, and Huan Liu.
    Computational and Mathematical Organization Theory, 2019 (CMOT 2019). Best of SBP
  • Towards Privacy Preserving Social Recommendation under Personalized Privacy Settings. [PDF]
    Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, and Yujun Zhang.
    World Wide Web Journal, 2018.
  • Fake News Detection on Social Media: A Data Mining Perspective. [PDF][Data]
    Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, and Huan Liu.
    SIGKDD Explorations, 2017.
  • User Identity Linkage across Online Social Networks: A Review. [PDF]
    Kai Shu, Suhang Wang, Jiliang Tang, Reza Zafarani, and Huan Liu.
    SIGKDD Explorations, 2016.

Conference Papers

    ******* 2019 *******
  • dEFEND: Explainable Fake News Detection. [PDF][Poster][Slides]
    Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, and Huan Liu.
    Proceedings of 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019)
  • Exploiting Emojis for Sarcasm Detection. [PDF]
    Jayashree Subramanian*, Varun Sridharan*, Kai Shu, and Huan Liu.
    International Conference on Social Computing, Behavior-Culture Modeling, and Prediction (SBP 2019).
  • Unsupervised Fake News Detection on Social Media: A Generative Approach. [PDF]
    Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, and Huan Liu.
    Proceedings of 33rd AAAI Conference on Artificial Intelligence (AAAI 2019).
  • Beyond News Content: The Role of Social Context for Fake News Detection.
    [PDF][Poster][The Morning Paper]
    Kai Shu, Suhang Wang, and Huan Liu.
    Proceedings of 12th ACM International Conference on Web Search and Data Mining (WSDM 2019).
  • Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items. [PDF]
    Vineeth Rakesh, Suhang Wang, Kai Shu, and Huan Liu.
    Proceedings of 12th ACM International Conference on Web Search and Data Mining (WSDM 2019).
    ******* 2018 *******
  • Deep Headline Generation for Clickbait Detection. [PDF][Slides]
    Kai Shu, Suhang Wang, Thai Le, Dongwon Lee, and Huan Liu.
    The 2018 IEEE International Conference on Data Mining (ICDM 2018) (Regular Paper)
  • Using Social Media to Understand Cyber Attack Behavior. [PDF]
    Amy Sliva, Kai Shu, and Huan Liu.
    9th International Conference on Applied Human Factors and Ergonomics (AHFE 2018)
  • Exploiting User Actions for App Recommendations. [PDF][Slides]
    Kai Shu, Suhang Wang, Jiliang Tang, Yi Chang, Ping Luo, and Huan Liu.
    The 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018) (Short Paper)
  • Multimodal Fusion of Brain Networks with Longitudinal Couplings. [PDF]
    Wen Zhang, Kai Shu, Suhang Wang, Huan Liu, and Yalin Wang.
    21th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018).
  • Securing Social Media User Data - An Adversarial Approach. [PDF]
    Ghazaleh Beigi, Kai Shu, Yanchao Zhang, and Huan Liu.
    29th ACM Conference on Hypertext and Social Media (HT 2018).
  • Understanding Cyber Attack Behaviors with Sentiment Information on Social Media. [PDF]
    Kai Shu, Amy Sliva, Justin Sampson, and Huan Liu.
    International Conference on Social Computing, Behavior-Culture Modeling, and Prediction (SBP 2018).
  • Personalized Privacy-Preserving Social Recommendation. [PDF]
    Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, and Yujun Zhang.
    Proceedings of 32nd AAAI Conference on Artificial Intelligence (AAAI 2018).
  • CrossFire: Cross Media Joint Friend and Item Recommendations. [PDF][Slides][Poster]
    Kai Shu, Suhang Wang, Jiliang Tang, Yilin Wang, and Huan Liu.
    Proceedings of 11th ACM International Conference on Web Search and Data Mining (WSDM 2018).
    ******* 2017 *******
  • What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation. [PDF]
    Suhang Wang, Yilin Wang, Jiliang Tang, Kai Shu, Suhas Ranganath, and Huan Liu.
    Proceedings of 26th International World Wide Web Conference (WWW 2017).
    ******* 2016 *******
  • Multi-Label Informed Feature Selection. [PDF]
    Ling Jian, Jundong Li, Kai Shu, and Huan Liu.
    Proceedings of 25th International Joint Conference on Artificial Intelligence (IJCAI 2016).
    ******* Before 2016 *******
  • Deal or Deceit: Detecting Cheating in Distribution Channels. [PDF][Slides]
    Kai Shu, Ping Luo, Li Wan, Peifeng Yin, and Linpeng Tang.
    Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014).
  • Sequences Modeling and Analysis Based on Complex Network. [PDF]
    Li Wan, Kai Shu, and Yu Guo.
    Communications and Information Processing. Springer Berlin Heidelberg, pages 246-252, 2012.
    Workshop and Demo Papers
  • Understanding User Profiles on Social Media for Fake News Detection. [PDF]
    Kai Shu, Suhang Wang, and Huan Liu.
    1st IEEE International Workshop on Fake MultiMedia (FakeMM 2018).