Xiaotao Gu's Homepage

Xiaotao Gu

顾晓韬

Profile

I am a first year Ph.D. student in Professor Jiawei Han’s Data Mining Group at the Computer Science Department of UIUC. Before that, I was a member of the Knowledge Engineering Group (KEG) of Tsinghua University, supervised by Professor Jie Tang. I was a research intern in Cornell University in 2016, working with Professor Thorsten Joachims and his group.

I’m obsessed with exciting problems on natural language understanding and information extraction from unstructured data, along with learning problems related to human decisions. Please feel free to drop me an email on any interesting topics!


Publications

Web User Profiling using Data Redundancy
Xiaotao Gu, Hong Yang, Jie Tang*, Jing Zhang
The 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’16) [13.6%]. August 18-21, San Francisco, 2016
(BEST STUDENT PAPER RUNNER-UP)
[pdf][slides][code&data]

Large-scale Validation of Counterfactual Learning Methods: A Test-Bed,
D. Lefortier and A. Swaminathan and X. Gu and T. Joachims and M. de Rijke NIPS Workshop on “Inference and Learning of Hypothetical and Counterfactual Interventions in Complex Systems”, 2016.
[pdf][poster][arXiv][code&data]


Toys

Scholar Gender Prediction
We developed a coarse toy for gender inference based on name and affiliation. Using Google results only, we easily outperform traditional ways, where an existing name list for each gender is used. Thanks Hong for setting up the web page. Have fun and welcome to send me bug reports!
[go!][paper]

Gopage
Download and parse Google search page in batch, python package.
[github]


Experience

2017.8 - present

PhD Student, University of Illinois at Urbana-Champaign, supervised by Professor Jiawei Han

2016.9 - 2017.1
Teaching Assistant, Tsinghua University
2016.7 - 2016.9
Research Intern, Cornell University, working with Professor Thorsten Joachims
2015.6 - 2015.8
Engineering Internship, Yitu Corporation
2013.9 - 2017.6
Knowledge Engineering Group, Tsinghua University, supervised by Professor Jie Tang