Christopher H. Lin (林懷璿)
MS, Computer Science & Engineering, University of Washington, March 2013
BA, Computer Science, Mathematics, UC Berkeley, May 2011

About Me

Image of Christopher H. Lin I am a PhD student in Computer Science and Engineering at the University of Washington. I am advised by Dan Weld and Mausam. My primary research interests are in the field of Artificial Intelligence. I conduct research in probabilistic planning and machine learning guided by applications in crowdsourcing. In particular, I am interested in creating intelligent adaptive systems that non-experts can use to exploit the different strengths of machines (crunching numbers, optimizing objective functions) and humans (flash judgments).

In my free time, I play the violin. I was a member of the UC Berkeley Symphony Orchestra for all four years of my undergraduate studies, played a couple years with the UW Symphony Orchestra, and now play with the Seattle Philharmonic, which is not the Seattle Symphony. I most enjoy the works of late romantic/early 20th century Russian and German composers (Tchaikovsky, Rachmaninoff, Shostakovich, Prokofiev, Mahler, R. Strauss, Brahms, etc). I also like Beethoven. I've performed Tchaikovsky's 5th in Carnegie Hall under Benjamin Zander, and after experiencing the amazing acoustics, I think that playing/listening inside Carnegie Hall should be on everyone's bucket list. If I had to pick a favorite symphony, I would say Mahler's 3rd. Not only is it amazingly beautiful, it was the last symphony that I performed with the UCBSO, and holds significant sentimental value. I like to keep a list of all the orchestral repertoire that I have played.

Classes

I have taken the following graduate courses:

Teaching

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. "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]
  2. 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]
  3. 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]
  4. 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@cs.washington.edu % 'chrislin'
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Last Updated: Aug 4 2014