Hung-Jui Chang

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Hung-Jui Chang, a Taiwanese computer scientiest at the Institute of Information Science at the Academia Sinica, Taipei and before at the Department of Information Engineering and Computer Science at the National Taiwan University. His research interests covers distributed algorithms and Computer Chinese Chess. He is author of the Chinese Dark Chess programs Dark Chesser and PupilDarkChess, silver medal winner at 20th Computer Olympiad, Leiden 2017, and the Go playing program EZGO, bronze at 20th Computer Olympiad in 9x9 Go.

=Selected Publications=

2009

 * Hung-Jui Chang, Jan-Jan Wu, Pangfeng Liu (2009). Job Scheduling Techniques for Distributed Systems with Heterogeneous Processor Cardinality. ISPAN'2009, pdf

2010 ...

 * Hung-Jui Chang, Meng-Tsung Tsai, Tsan-sheng Hsu (2011). Game Tree Search with Adaptive Resolution. Advances in Computer Games 13, pdf
 * Hung-Jui Chang, Tsan-sheng Hsu (2013). Quantitative study of 2 by 4 Chinese Dark Chess. CG 2013
 * Bo-Nian Chen, Hung-Jui Chang, Shun-Chin Hsu, Jr-Chang Chen, Tsan-sheng Hsu (2013). Multilevel Inference in Chinese Chess Endgame Knowledge Bases. ICGA Journal, Vol. 36, No. 4
 * Bo-Nian Chen, Hung-Jui Chang, Shun-Chin Hsu, Jr-Chang Chen, Tsan-sheng Hsu (2014). Advanced Meta-knowledge for Chinese Chess Endgame Knowledge Bases. ICGA Journal, Vol 37, No. 1

2015 ...

 * Hung-Jui Chang, Chih-Wen Hsueh, Tsan-sheng Hsu (2015). Convergence and correctness analysis of Monte-Carlo tree search algorithms: A case study of 2 by 4 Chinese dark chess. IEEE CIG 2015
 * Hung-Jui Chang, Gang-Yu Fan, Jr-Chang Chen, Chih-Wen Hsueh, Tsan-sheng Hsu (2017). Validating and Fine-Tuning of Game Evaluation Functions Using Endgame Databases. CGW@IJCAI 2017
 * Hung-Jui Chang, Jr-Chang Chen, Gang-Yu Fan, Chih-Wen Hsueh, Tsan-sheng Hsu (2018). Using Chinese dark chess endgame databases to validate and fine-tune game evaluation functions. ICGA Journal, Vol. 40, No. 2 » Chinese Dark Chess, Endgame Tablebases
 * Hung-Jui Chang, Jr-Chang Chen, Chih-Wen Hsueh, Tsan-sheng Hsu (2018). Analysis and efficient solutions for 2 × 4 Chinese dark chess. ICGA Journal, Vol. 40, No. 2 » Chinese Dark Chess

2020 ...

 * Hung-Jui Chang, Cheng Yueh, Gang-Yu Fan, Ting-Yu Lin, Tsan-sheng Hsu (2021). Opponent Model Selection Using Deep Learning. Advances in Computer Games 17

=External Links=
 * Hung-Jui Chang's ICGA Tournaments

=References=

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