Image of Christopher H. Lin Christopher H. Lin
PhD, Computer Science & Engineering, University of Washington, August 2017
MS, Computer Science & Engineering, University of Washington, March 2013
BA, Computer Science, Mathematics, UC Berkeley, May 2011


About Me

I'm a researcher at Semantic Machines (part of Microsoft) where I work on conversational AI. I broadly draw from and contribute to research in Artificial Intelligence, Machine Learning, Natural Language Processing, and Crowdsourcing. Here is my dissertation.

In my free time, I play the violin. I'm a member of the Ellinor Quartet and will be a section first violinist with Symphony Tacoma starting in the 2019-2020 season. I also freelance with several groups in the Seattle area, including the Federal Way Symphony, the Puget Sound Concert Opera, and the Tacoma City Ballet.


Selected Publications

Please see my Resume/CV for a full list. Here is my Google Scholar page.
  1. Christopher H. Lin, Mausam, and Daniel S. Weld. "Active Learning with Unbalanced Classes and Example-Generation Queries." In Proceedings of the 6th AAAI Conference on Human Computation and Crowdsourcing (HCOMP). Zurich, Switzerland. July 2018.
    Acceptance rate: 29%
    [PDF] [Talk]
  2. Christopher H. Lin, Mausam, and Daniel S. Weld. "Re-active Learning: Active Learning with Relabeling." In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI). Phoenix, Arizona. February 2016.
    Accepted for long oral presentation
    Acceptance rate: 26%
    [PDF] [Supplementary Materials] [Talk]
  3. Christopher H. Lin, Andrey Kolobov, Ece Kamar, and Eric Horvitz. "Metareasoning for Planning Under Uncertainty." In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI). Buenos Aires, Argentina. July 2015.
    Accepted for long oral presentation
    Acceptance rate: 29%
    [PDF] [PDF (Extended Version)] [Talk]
  4. Christopher H. Lin, Mausam, and Daniel S. Weld. "To Re(label), or Not To Re(label)." In Proceedings of the 2nd AAAI Conference on Human Computation and Crowdsourcing (HCOMP). Pittsburgh, PA, USA. Nov 2014.
    Acceptance rate: 32%
    [PDF] [Talk]
  5. Christopher H. Lin, Ece Kamar, and Eric Horvitz. "Signals in the Silence: Models of Implicit Feedback in a Recommendation System for Crowdsourcing." In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI). Quebec City, Quebec, Canada. July 2014.
    Accepted for both oral and poster presentation
    Acceptance rate: 28%
    [PDF] [Errata] [Talk]
  6. Christopher H. Lin, Mausam, and Daniel S. Weld. "Crowdsourcing Control: Moving Beyond Multiple Choice." In Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence (UAI). Catalina Island, CA, USA. Aug 2012.
    Acceptance rate: 31%
    [PDF] [Supplementary Materials]
  7. Christopher H. Lin, Mausam, and Daniel S. Weld. "Dynamically Switching between Synergistic Workflows for Crowdsourcing." In Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI). Toronto, ON, Canada. July 2012.
    Accepted for both oral and poster presentation
    Acceptance rate: 26%
    [PDF] [Talk]

Contact Me

Email me: %s@gmail.com % 'christopher.h.lin'
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Connect with me: View Christopher Lin's profile on LinkedIn
Most recent attempt to be up-to-date: July 2018