Jianling Wang




I am a second year Ph.D. student in the Department of Computer Science and Engineering at Texas A&M University, advised by Prof. James Caverlee. I received my Master's degree in Computer Science from Georgia Institute of Technology and my Bachelor's degree in Information Engineering from The Chinese University of Hong Kong. I am interested in data mining and recommendation system. Currently, I focus on applying neural models to different recommendation scenarios.

Publications

  • Recurrent Recommendation with Local Coherence. (acceptance rate: 16%) [pdf]
    The 12th ACM International Conference on Web Search and Data Mining (WSDM), 2019.
    Jianling Wang and James Caverlee.

  • Fairness-Aware Recommendation of Information Curators. [pdf]
    The 2nd FATREC Workshop on Responsible Recommendation at RecSys, 2018
    Ziwei Zhu, Jianling Wang, Yin Zhang and James Caverlee.

  • Stockyard: A discrete event-based stock market exchange simulator. [pdf]
    Simulation Conference (WSC), 2017.
    Jianling Wang, Vivek George, Tucker Balch, and Maria Hybinette.

Industry Experience

  • Research Summer Intern, OMXWare team, IBM Research, Almaden, CA, June 2018 - Aug 2018.
    Project: Exploring Gene Editing and CRISPR with OMXWare.
  • Research Summer Intern, Labbook team, IBM Research, Almaden, CA, May 2017 - Aug 2017.
    Project: Worked on text Analytics for context extraction and enrichment
  • Summer Research Engineer, Research Group, Airwatch VMWare, Atlanta, GA June 2018 - Aug 2018.
    Project: Worked on the research project for driver detection and enforcement and mainly focused on the scalable server and machine learning engine.

Teaching

Patents

  • Detecting driving and modifying access to a user device.
    U.S. Patent 9,979,814, issued May, 2018.
    Chaoting Xuan, Ravish Chawla, Jianling Wang, and Kar Fai Tse

Professional Service

  • Track Program Committee: WSC 18
  • Journal Reviewer: IEEE Intelligent Systems
  • External Reviewer: WWW 18