Tianran Hu

PhD student
Advised by Prof. Jiebo Luo
Social Media, Data Mining and Computational Social Science.

I will join the Computer Science Department at the College of William & Mary as Assitant Professor in Fall 2019. I have several fully-funded Ph.D student positions in the area of Computational Social Science, Data Mining, and Social Media. If you are interested in working with me, please send me you CV.
I recived my PhD in Computer Science from University of Rochester in 2019. I joined Vista lab lead by Prof. Jiebo Luo in 2013. My research interests include Social Media, Data Mining and Computational Social Science. My recent research project focuses on understanding human parallel lives in both physical world and cyberspace. Here is my Google Scholar profile.

Publications

2019

  • Tianran Hu, Yinglong Xia, and Jiebo Luo, "To Return or to Explore: Modelling Human Mobility and Dynamics in Cyberspace," the WebConf (formerly WWW), to appear, May 2019, San Francisco, CA.

    • 2018

  • Tianran Hu, Jiebo Luo and Wei Liu, “Life in the ‘Matrix’: Human Mobility Patterns in the Cyber Space,” AAAI International Conference on Web and Social Media (ICWSM), Stanford, CA, June 2018. [arXiv]
  • Weijian Li*, Yuxiao Chen*, Tianran Hu, and Jiebo Luo, “Mining the Relationship between Emoji Usage Patterns and Personality,” AAAI International Conference on Web and Social Media (ICWSM), Stanford, CA, June 2018. [arXiv]
  • Tianran Hu, Anbang Xu, Jiebo Luo. “Touch Your Heart: A Tone-aware Chatbot for Customer Care on Social Media,” The ACM CHI Conference on Human Factors in Computing Systems (CHI), Montreal, Canada, April 2018. [arXiv]

    • 2017

  • Yiming Pan, Xuefeng Peng, Tianran Hu, and Jiebo Luo, “Understanding What affects Career Progression Using LinkedIn and Twitter Data,” Special Session on Intelligent Data Mining, IEEE Big Data Conference, Boston, MA, December 2017
  • Tianran Hu, Han Guo, Hao Sun, Thuy-vy Thi Nguyen, Jiebo Luo, “Spice up Your Chat: The Intentions and Sentiment Effects of Using Emojis,” AAAI International Conference on Web and Social Media (ICWSM), 2017.
  • Tianran Hu, Ruihua Song, Xing Xie, Maya Abtahian, Philip Ding and Jiebo Luo, “A World of Difference: Divergent Word Interpretations among People,” AAAI International Conference on Web and Social Media (ICWSM), Montreal, Canada, May 2017.

    • 2016

  • Tianran Hu, Ruihua Song, Xing Xie, Jiebo Luo, "Mining Shopping Patterns for Divergent Urban Regions by Incorporating Mobility Data", ACM International Conference on Information and Knowledge Management (CIKM), Indianapolis, IN, October 2016.
  • Tianran Hu, Haoyuan Xiao, Jiebo Luo, Thuy-vy Thi Nguyen,  “What the Language You Tweet Says About Your Occupation,” AAAI International Conference on Weblogs and Social Media (ICWSM), Cologne, Germany, May 2016.
  • Tianran Hu, Eric Biglow, Henry Kautz, and Jiebo Luo, “Tales of two cities: using social media to understand idiosyncratic lifestyles in distinctive metropolitan areas, ” IEEE Transactions on Big Data, in press
  • Yu Wang, Jiebo Luo, Richard G. Niemi, Yuncheng Li, Tianran Hu,“Catching Fire via ‘Likes’: Inferring Topic Preferences of Trump Followers on Twitter,” AAAI International Conference on Weblogs and Social Media (ICWSM), Cologne, Germany, May 2016.
  • Haofu Liao, Yuncheng Li, Tianran Hu, and Jiebo Luo, “Inferring Restaurant Styles by Mining Crowd Sourced Photos from User-Review Websites,” IEEE International Conference on Big Data (Big Data), Washington, DC, December 2016.
  • Nabil Hossain, Tianran Hu, Roghayeh Feizi, Ann Marie White, Jiebo Luo, Henry Kautz, “Inferring Fine-grained Details on User Activities and Home Location from Social Media: Detecting Drinking-While-Tweeting Patterns in Communities,” AAAI International Conference on Weblogs and Social Media (ICWSM), Cologne, Germany, May 2016.

    • 2015

  • Tianran Hu, Adam Sadilek, Henry Kautz, and Jiebo Luo, “Home Location Inference from Sparse and Noisy Data: Models and Applications,” IEEE International Conference on Data Mining (ICDM), Workshop on Social Multimedia Data Mining, Atlantic City, December 2015.
  • Danning Zheng, Tianran Hu, Quanzeng You, and Jiebo Luo, "Towards Lifestyle Understanding: Predicting Home and Vacation Locations from User’s Online Photo Collections," AAAI International Conference on Weblogs and Social Media (ICWSM), May 2015.

    • 2014

  • Andrew Nocka, Danning Zheng, Tianran Hu, Jiebo Luo, "Moneyball for Academia: Towards Measuring and Maximizing Faculty Performance and Impact," IEEE International Conference on Data Mining (ICDM), Workshop on Domain Dependent Data Mining, December 2014.
  • Danning Zheng, Tianran Hu, Quanzeng You, and Jiebo Luo, "Inferring Home Location from User's Photo Collections based on Visual Content and Mobility Patterns," ACM Multimedia Conference, Workshop on Geotagging in Multimedia (GeoMM), November 2014.

    • Internship

    June to August, 2015, Palo Alto Research Center (PARC), Webster, NY, worked with Juan Li, Arvind Agarwal, and Saurabh Kataria, on multi-platform user matching.
    March to August, 2016, Microsoft Research Asia, Bejing, China, worked with Ruihua Song and Xing Xie on human lifestyle extraction on social medias.

    Teaching Assistant

    2015 Fall, CSC 440 Data Mining, Instructor: Jiebo Luo
    2015 Spring, CSC 242 Artificial Intelligence, Instructor: Ji Liu
    2014 Fall, CSC 440 Data Mining, Instructor: Jiebo Luo

    Contact Me

    Office: Computer Studies Building 624, University of Rochester, Rochester, NY 14627
    Email: username@cs.rochester.edu, where username = thu
    Cell Phone: ask me in person!