About me

I’m a 5th-year Ph.D. student in artifical intelligence at Stanford advised by professor Percy Liang in the Stanford Natural Language Processing (NLP) Group.

I have been supported by an NSF Graduate Research Fellowship as well as a Stanford Math+X Fellowship.

• Areas of interest: artificial intelligence, machine learning, deep learning, natural language processing, reinforcement learning, statistics

• Applications of interest: voice user interfaces, natural language interfaces, AI-human hybrid systems, AI in healthcare, recommender systems

Timeline

Education

Work experience

Publications

• From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood
  Kelvin Guu, Panupong Pasupat, Evan Liu, Percy Liang
  Association for Computational Linguistics (ACL), 2017
  Slides GitHub Code CodaLab Worksheet BibTeX

  @inproceedings{guu2017bridging,
    title = {From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood},
    author = {Guu, Kelvin and Pasupat, Panupong and Liu, Evan Zheran and Liang, Percy},
    booktitle = {Association for Computational Linguistics (ACL)},
    year = {2017},
  }
  

• Traversing Knowledge Graphs in Vector Space
  Kelvin Guu, John Miller, Percy Liang
  Empirical Methods in Natural Language Processing (EMNLP), 2015
  Best paper honorable mention
  Slides CodaLab Worksheet BibTeX

  @inproceedings{guu2015traversing,
    title = {Traversing Knowledge Graphs in Vector Space},
    author = {Guu, Kelvin and Miller, John and Liang, Percy},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    year = {2015},
  }
  

• Bayesian Multiscale Modeling of Closed Curves in Point Clouds
  Kelvin Gu¹, Debdeep Pati, David B. Dunson
  Journal of the American Statistical Association Vol. 109 (508), 2014
  

• Light timeout optimization
  Xin Gu, Kelvin Gu¹, Deepak Nulu
  Redwood Systems
  US Patent No. 8,538,596, 2013
  

Other projects

Presentations and tutorials

• Why naive cross-validation can fail for feature selection.
• Presentation on selection and multiple hypothesis testing, based on several great lectures by Emmanuel Candes.
• Presentation on random matrices, prepared for Percy Liang’s reading group.

Libraries

Unfortunately, much of my recent code is closed-source at the moment, but I’m working on getting it cleaned up and ready for others to use! The following projects are fairly old/out-of-date, but I’m keeping them around in the odd chance they might be of use to someone somewhere.

• Simple Speech Recognition - 2013
  A complete speech recognition system you can deploy with just a few lines of Python, built on CMU Sphinx-4.

• Gitmemoizer - 2013
  Automagically memoize any function and save results to disk (for Java).

• Giterable - 2013
  A Java package for iterating through files in your Git repo and loading them.

Collaborators

I have had the privilege of working with and learning from great mentors and collaborators, including:

• Percy Liang, Assistant Professor of Computer Science at Stanford
• Panupong (Ice) Pasupat, Ph.D. Student in Computer Science at Stanford
• Jakob Uszkoreit, Senior Staff Software Engineer at Google
• Richard Socher, Chief Scientist at Salesforce
• David B. Dunson, Professor of Statistics at Duke
• Debdeep Pati, Assistant Professor of Statistics at Florida State
• Alex Hartemink, Professor of Computer Science at Duke
• Ronald Parr, Professor of Computer Science at Duke

I’ve enjoyed mentoring younger students, including:

• John Miller, undergraduate in Computer Science at Stanford (enrolling in PhD program in Fall 2017)
• Justin Fu, MS in Computer Science at Stanford, currently PhD student at UC Berkeley
• Dora Demszky, undergraduate in linguistics at Princeton (enrolling in PhD program in Fall 2017)
• Evan Liu, undergraduate in Computer Science at Stanford

Finally, I think the following entities are pretty swell:

• Doug Engelbart. We still need to finish this guy’s mission.
• Wikipedia and Freebase.
• Jon Kabat-Zinn. For bringing scientific attention to the study of mindfulness.
• The Bill & Melinda Gates Foundation. I think they make a huge impact by bringing an investor’s mindset to important and good causes.

Contact

• Office: Gates Computer Science Building, Room 2^8
• Email: kguu ~at~ stanford.edu
• Github: http://github.com/kelvinguu
• LinkedIn: http://linkedin.com/in/kelvinguu
• Twitter: http://twitter.com/ke1vin (it’s a 1 not an l)
• Google Scholar: Google Scholar