About

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I am a PhD candidate in the Department of Intelligent Systems Engineering (ISE) at Indiana University. My advisor is Dr. Geoffrey Fox. I’ve studied Statistics and I am a PhD Candidate in Statistics at Indiana University.

My broad interest is on design practical machine learning algorithms for pattern recognition. My recent works involve deep leaning and latent variable models for sensor fusion and speech recognition. In the past I have worked on a few other things listed below in reverse chronological order. I have labeled them with “A” for application and “T” for theory:

[T] Stochastic variational inference: [(link will appear soon)].
[A] End-to-end speech recognition (with Amazon Alexa Speech).
[T] Latent variable algorithm for sensor fusion: (link).
[A] Online speech quality estimation (with Adobe Research).
[A] Multimodal speech activity detection: (link).
[A] Order metric based source separation: (demo).
[T] Manifold learning from a differential geometry perspective.
[T] Bayesian missing data imputation.
[T] Shrinkage estimator with structural regularization.

I am still interested in these topics, and have ideas and manuscripts yet to finish. If you are interested in them, please feel free to contact me — I look forward to your insights.

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Besides research, I enjoy reading sci-fi books, fine-art photography and all kinds of sports. I am an amateur distance runner, and finished the rolling hills of Hoosier Half Marathon (link) in 1h45m (to the right that’s me fininshing the last 100 feet of a race!)

Lijiang Guo
lijguo@gmail.com