Experience
    Education
    Bio
    My principal research interests lie in machine learning, especially focus on probabilistic models, graphical models, nonparametric modeling, large-scale inference algorithms and applications in user modeling, text mining:

    Developing scalable inference for various kinds of statistical models from both algorithm and system perspectives. This means modifying the models, then boosting the algorithms on a single multi-cores/GPUs machine by fully exploiting system architectures, or distributing them on many machines with decent convergence.
    Finding principled techniques to automatically solve the problems in terms of user modeling, text mining, temporal models by developing various structured probabilistic models, Bayesian Nonparametric models.