Chao Ma
               machao
   Ph.D Student, EECS Department,
    Oregon State Universtiy
 Email:  machaoatsigneecs.oregonstate.edu
 Phone:  (541)-602-4873
 Address:  2048 Kelley Engineer Center, OSU
                Corvallis, OR, 97331, United States
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I am a Ph.D student with the Artificial Intelligence & Machine Learning group at Oregon State University. I am co-advised by Prasad Tadepalli and Janardhan Rao Doppa. My general research interests span machine learning, data mining, and natural language processing. The current focus of my research is on search-based approaches for natural language understanding. I'm part of the Deep Reading and Learning project.

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Education & Experience
ebay-logo 2017 summer eBay Intership, Traffic Science Team, Bellevue WA, USA.
ebay-logo 2016 summer eBay Intership, Traffic Science Team, Bellevue WA, USA.
osu-logo3 2011 - present Ph.D, Computer Sicence, Oregon State University, USA.
tju-logo 2007 - 2011 B.S., Computer Sicence, Tianjin University, China.
nankai-logo 2004 - 2007 Tianjin Nankai High School, China.
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Research and Projects
Search-based Approaches for Natural Language Understanding
      Within Document Entity Coreference Resolution.

      Tri-lingual Entity Linking and Discovery for TAC-KBP.

Parallel Search in Computer Chess
      Topics About Chess Evaluation Function.
      My Computer Chess Program: Cmcchess.
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Publications   gscho
bcircle Multi-Task Structured Prediction for Entity Analysis: Search-based Learning Algorithms [Supp] [Slides] [Poster]
  ° Chao Ma, Janardhan Rao Doppa, Prasad Tadepalli, Hamed Shahbazh, and Xiaoli Fern  
° Journal of Machine Learning Research (JMLR), Proceedings Track, Vol 80, 16 pages, 2017
bcircle Select-and-Evaluate: A Learning Framework for Large-Scale Knowledge Graph Search
  ° F A Rezaur Rahman Chowdhury, Chao Ma, Md Rakibul Islam, Mohammad Hossein Namaki, Mohammad Omar Faruk, and Janardhan Rao Doppa  
° Journal of Machine Learning Research (JMLR), Proceedings Track, Vol 80, 16 pages, 2017
bcircle Learning Greedy Policies for the Easy-First Framework [Slides]
° Jun Xie, Chao Ma, Janardhan Rao Doppa, Prashanth Mannem, Xiaoli Fern, Tom Dietterich, and Prasad Tadepalli
° Proceedings of AAAI Conference on Artificial Intelligence (AAAI) 2015
bcircle Prune-and-Score: Learning for Greedy Coreference Resolution [Poster]
  ° Chao Ma, Janardhan Rao Doppa, Xiaoli Fern, Tom Dietterich, and Prasad Tadepalli  
  ° Proceedings of International Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014  
bcircle HC-Search for Multi-Label Prediction: An Empirical Study  
  ° Janardhan Rao Doppa, Jun Yu, Chao Ma, Alan Fern, and Prasad Tadepalli  
  ° Proceedings of AAAI Conference on Artificial Intelligence (AAAI) 2014  
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Softwares
coref-logo OregonStateCoref
The coreference resolution resolver developed by Oregon State University Deep Reading and Learning research group.
 
cute-mpi Cute-MPI-Interface
A program that allows a cutechess task to be able to run on a computer cluster system with MPICH2. A cutechess task usually involves hundreds or thousands of games. This small tool simply splits the task uniformly, and distributes them on different cluster nodes.
 
     
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Last edited at Jun 29th, 2016.