Difference between revisions of "Chao Ma"

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* [https://www.talkchess.com/forum3/viewtopic.php?t=63063 Deep Pink: a chess engine using deep learning] by [[Chao Ma]], [[CCC]], February 05, 2017 » [[Deep Pink]]
 
* [https://www.talkchess.com/forum3/viewtopic.php?t=63063 Deep Pink: a chess engine using deep learning] by [[Chao Ma]], [[CCC]], February 05, 2017 » [[Deep Pink]]
 
==2020 ...==
 
==2020 ...==
* [https://talkchess.com/forum3/viewtopic.php?f=7&t=79020 Why NNUE trainer requires an online qsearch on each training position?] b< [[Chao Ma]], [[CCC]], Januar 01, 2022 [NNUE]
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* [https://talkchess.com/forum3/viewtopic.php?f=7&t=79020 Why NNUE trainer requires an online qsearch on each training position?] by [[Chao Ma]], [[CCC]], Januar 01, 2022 [NNUE]
  
 
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Revision as of 16:08, 8 October 2023

Home * People * Chao Ma

Chao Ma,
a Chinese computer scientist, game and chess programmer, and Ph.D. student with the Artificial Intelligence and machine learning group at Oregon State University. He holds a B.Sc. in Computer Sicence, Tianjin University, Tianjin. His research interests span machine learning, data mining, and natural language processing, in particular search based natural language understanding.

Concerning game and chess programming, Chao Ma is author of the chess engine Cmcchess, a parallel MTD(f) searcher developed since 2009, and before, he worked on a serial of Wuziqi programs called Mcfive. His open source software projects include Cute-MPI-Interface, an interface program to run Cutechess-cli on the cluster system with MPI [1], Viper-Cluster-Perft, a MPI based perft program that starts from the source code of the chess engine Viper [2], and the Senpai Regression project, an experimental project to explore if a linear model with rich features can be trained by the method and data from Stockfish NNUE.[3]He hosts a brief introduction into Stockfish NNUE in Chinese and English on GitHub. [4]

Selected Publications

  • Chao Ma, Janardhan Rao Doppa, Prashanth Mannem, Xiaoli Fern, Tom Dietterich, Prasad Tadepalli (2014). Prune-and-Score: Learning for Greedy Coreference Resolution. EMNLP 2014, pdf
  • Janardhan Rao Doppa, Jun Yu, Chao Ma, Alan Fern, Prasad Tadepalli (2014). HC-Search for Multi-Label Prediction: An Empirical Study. AAAI-2014 pdf

Forum Posts

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External Links

References