Chao Ma
   Ph.D Student, EECS Department,
    Oregon State Universtiy
 Phone:  (541)-602-4873
 Address:  2048 Kelley Engineer Center, OSU
                Corvallis, OR, 97331, United States

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 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.

Education & Experience
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.
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.
Publications   gscho
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  
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.
Last edited at Jun 29th, 2016.