Xing Zhao




Howdy! I am a Ph.D. student in the Computer Science & Engineering Department at Texas A&M University, advised by Prof. James Caverlee. My research area is about social media, recommender system, machine learning, and data mining. Specifically, my research focuses on developing machine learning methods and algorithms for user modeling in social media, and for recommender system.

Previously, I obtained my Bachelor's degree from Computer Science & Engineering Department at Texas A&M University in Spring, 2015.

Publications

  • TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation paper [pdf] slide [pdf]
    The ACM Conference Series on Recommender Systems (RecSys), 2018.
    Xing Zhao, Qingquan Song, James Caverlee, Xia Hu

  • Vitriol on Social Media: Curation and Investigation paper [pdf] slide [pdf]
    Social Informatics (SocInfo), 2018.
    Xing Zhao and James Caverlee.

Teaching Experience

Projects

  • RecSys Challenge 2018, TrailMix, 2018
  • Collaborate on DARPA NGS2 Project: “filling in the tensor” of large spatial- temporal datasets, HELIOS, 2016 - Present

Professional Services

  • Journal Reviewer: IEEE Internect Systems, Computer Science Journal
  • External Reviewer: WWW'(17, 16), WSDM'(18, 17), KDD'(17)