LTI / GHC 5513
Carnegie Mellon U
5000 Forbes Ave
PA 15213, USA

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Zi Yang

PhD Candidate
Language Technologyies Institute
School of Computer Science
Carnegie Mellon University

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I am currently a sixth-year PhD student at Language Technologies Institute, School of Computer Science, Carnegie Mellon University, working with Prof. Eric Nyberg. My research mainly focuses on developing algorithms and software to automate design, construction, and optimization of complex intelligent information systems, e.g. question answering systems and decision support systems. The thesis proposal can be previewed here.

I am a core member of the Open Advancement of Question Answering (OAQA) team, aiming to develop open-source tools for building high-performance question answering (QA) systems and information processing systems in general. I am leading the biomedical question answering project, in collaboration with and a technical consultant for Roche TCRC, where we develop an open-source generic QA framework and an open-source biomedical QA system, which has won the best-performing system in the BioASQ Challenges in the factoid and list categories for two years in a row. I am also a Yahoo Follow in the Yahoo-CMU InMind project. A list of related publications published in conference proceedings and journals can be found in my Publications, and detailed projects are described in my Projects.

I obtained M.S. and B.E. degrees from Department of Computer Science and Technology, Tsinghua University, China, in 2011 and 2009 respectively, supervised by Prof. Jie Tang and Prof. Juanzi Li. Most of my past work focused on social network mining using probabilistic graph models and heterogeneous ranking frameworks.