Daylen Yang

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Daylen Yang, an American electrical engineer, in 2017 graduated from University of California, Berkeley, where he worked and published on visual and textual representations if the field of machine learning, such as visualizing residual neural network.

=Stockfish= Since 2010, Daylen Yang is member of the Stockfish team, where he is application author of Stockfish for Mac, and author of the Stockfish website. In June 2015, he talked on How do modern chess engines work at the TNG Big Techday 8 conference in Unterföhring near Munich.

=Selected Publications=
 * Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, Marcus Rohrbach (2016). Multimodal compact bilinear pooling for visual question answering and visual grounding. arXiv:1606.01847
 * Brian Chu, Daylen Yang, Ravi Tadinada (2017). Visualizing Residual Networks. arXiv:1701.02362

=Forum Posts=
 * Stockfish Mac app by Daylen Yang, CCC, January 22, 2014
 * Dumb question about alpha-beta by Daylen Yang, CCC, March 04, 2014 » Alpha-Beta
 * Parallel Search with Transposition Table by Daylen Yang, CCC, March 27, 2014 » Parallel Search, Shared Hash Table

=External Links=
 * Daylen Yang
 * daylen (Daylen Yang) · GitHub
 * Daylen Yang - Google Scholar Citations
 * Daylen Yang | LinkedIn
 * Building Chess ID – Medium by Daylen Yang
 * How do modern chess engines work?, Talk by Daylen Yang, Discussion with Tord Romstad, TNG | Big Techday 8, June 12, 2015, YouTube Video

=References=

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