Chung-Chin Shih / 施仲晉

Chung-Chin Shih 施仲晉

Assistant Professor, Department of Computer Science and Information Engineering, National Chung Cheng University

I work on computer game theory, game solving, and reinforcement learning methods for board games. My recent research studies how search, learning, and proof techniques can be combined to solve difficult game problems and build stronger game AI systems.

Research Interest

  • Computer Game Theory
  • Deep Reinforcement Learning
  • Game Solving
  • Artificial Intelligence
Google Scholar GitHub ORCID DBLP

News

I joined National Chung Cheng University as an Assistant Professor on August 1, 2026.

Aug. 2026

I am recruiting prospective master's students and undergraduate project students interested in computer game theory, game solving, reinforcement learning, and related areas.

Aug. 2026

Selected as a Gold Reviewer (Top 25%) for the ICML 2026 Position Paper Track.

2026

Prospective Master's & Undergraduate Project Students

I am recruiting motivated master's students and undergraduate project students at National Chung Cheng University who are interested in computer game theory, game solving, reinforcement learning, and related areas.

If you are interested in joining my research group, please email ccshih@cs.ccu.edu.tw with your CV, academic transcript, and any other materials that may support your application. Please email me first to set up a meeting, and I will be happy to talk with you in person.

目前招募對電腦對局理論、遊戲解題、強化式學習及相關領域有興趣的中正大學碩士生與大學部專題生。有興趣加入研究團隊或進行專題研究者，請將履歷、歷年成績單及其他有利於申請的資料寄至 ccshih@cs.ccu.edu.tw。歡迎先來信與我約時間，我很樂意與你當面談。

Selected Honors

Gold Reviewer (Top 25%), Forty-Third International Conference on Machine Learning (ICML-26), Position Paper Track

2026

Doctoral Dissertation Award, IEEE CIS Taipei Chapter

2024, awarded Jan. 10, 2025

Doctoral Dissertation Award, Taiwan Computer Game Association

Excellent Award, May 17, 2024

Doctoral Dissertation Award, Taiwanese Association for Artificial Intelligence

Honorable Mention, 2024

Research Grants

Collaborating Researcher, NSTC project “Zero-Knowledge Reinforcement Learning Techniques and Applications to Computer Games - Subproject 2: Research on Exact Proof Problems Based on Zero-Knowledge Reinforcement Learning Techniques” (NSTC113-2221-E-001-009-MY3), Aug. 2024 - Jul. 2027.

Academic Service

  • Reviewer, Transactions on Machine Learning Research (TMLR) (2026)
  • Reviewer, The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS-26) (2026)
  • Reviewer, The Forty-Third International Conference on Machine Learning (ICML-26) (2026)
  • Gold Reviewer (Top 25%), The Forty-Third International Conference on Machine Learning (ICML-26), Position Paper Track (2026)
  • Reviewer, Journal of the International Computer Games Association (ICGA Journal) (2026)
  • Reviewer, The Journal of Supercomputing (2025)
  • Reviewer, IEEE Transactions on Games (ToG) (2025)
  • Reviewer, Journal of the International Computer Games Association (ICGA Journal) (2025)
  • Reviewer, The Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-25) (2025)
  • Program Committee Member, AI/ML and Application Workshop at the International Computer Symposium (ICS-2024) (2024)
  • Reviewer, International Computer Symposium (ICS-2024) (2024)
  • Reviewer, The Forty-First International Conference on Machine Learning (ICML-2024) (2024)
  • Reviewer, The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-2024), Student Abstracts (2024)
  • Reviewer, Journal of the International Computer Games Association (ICGA Journal) (2022)

Publications

  1. Chung-Chin Shih, Ti-Rong Wu, Ting Han Wei, Yu-Shan Hsu, Hung Guei, and I-Chen Wu, "A Study of Solving Life-and-Death Problems in Go Using Relevance-Zone-Based Solvers," IEEE Transactions on Games, vol. 18, no. 1, pp. 223-228, March 2026.
  2. Chun-Jui Wang, Jian-Ting Guo, Hung Guei, Chung-Chin Shih, Ti-Rong Wu, and I-Chen Wu, "Evaluating Game Difficulty in Tetris Block Puzzle," in 30th Game Programming Workshop, GPW-25, 2025.
  3. Chi-Huang Lin, Ting-Han Wei, Chun-Jui Wang, Hung Guei, Chung-Chin Shih, Yun-Jui Tsai, I-Chen Wu, and Ti-Rong Wu, "Relevance-Zone Reduction in Game Solving," in Proceedings of the 19th International Conference on Advances in Computer Games, ACG-2025, October 2025.
  4. Yan-Ru Ju, Tai-Lin Wu, Chung-Chin Shih, and Ti-Rong Wu, "Bridging Local and Global Knowledge via Transformer in Board Games," in Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25, August 2025. (Acceptance rate approx. 19.3%)
  5. Chun-Jung Chen*, Chung-Chin Shih*, and Ti-Rong Wu, "Strength Estimation and Human-Like Strength Adjustment in Games," in International Conference on Learning Representations (ICLR), ICLR-25, April 2025. (* indicates equal contribution)
  6. Ti-Rong Wu, Hung Guei, Pei-Chiun Peng, Po-Wei Huang, Ting Han Wei, Chung-Chin Shih, and Yun-Jui Tsai, "MiniZero: Comparative Analysis of AlphaZero and MuZero on Go, Othello, and Atari Games," IEEE Transactions on Games, vol. 17, no. 1, pp. 125-137, March 2025.
  7. Yun-Jui Tsai, Ting Han Wei, Chi-Huang Lin, Chung-Chin Shih, Hung Guei, I-Chen Wu, and Ti-Rong Wu, "Solving 7x7 Killall-Go with Seki Database," in Computers and Games: 12th International Conference, CG 2024, CG-2024, pp. 66-76, November 2024.
  8. Yen-Yi Chen, Chung-Chin Shih, Ti-Rong Wu, and I-Chen Wu, "Exploring Openings in AtariGo," in 2024 International Computer Symposium (ICS) Conference Proceedings, ICS-2024, Hsinchu, Taiwan, October 2024, short paper.
  9. Chung-Chin Shih, Ting Han Wei, Ti-Rong Wu, and I-Chen Wu, "A Local-Pattern Related Look-Up Table," IEEE Transactions on Games, vol. 16, no. 2, pp. 282-290, June 2024.
  10. Ti-Rong Wu, Hung Guei, Ting Han Wei, Chung-Chin Shih, Jui-Te Chin, and I-Chen Wu, "Game Solving with Online Fine-tuning," in Advances in Neural Information Processing Systems 36 (NeurIPS 2023), New Orleans, December 2023. (Acceptance rate: 3221/12343 approx. 26.1%)
  11. Chung-Chin Shih, Ti-Rong Wu, Ting Han Wei, Hung Guei, Yu-Shan Hsu, and I-Chen Wu, "Analysis of Solving Life-and-Death Problems on Deep Learning," in Proceedings of the 1st Regular Academic Conference of ISGS, Myongji University, Korea, August 2023.
  12. Ti-Rong Wu, Chung-Chin Shih, Ting Han Wei, Meng-Yu Tsai, Wei-Yuan Hsu, and I-Chen Wu, "AlphaZero-based Proof Cost Network to Aid Game Solving," in International Conference on Learning Representations (ICLR), ICLR-22, April 2022. (Acceptance rate: 1,095/3,391 approx. 32.3%)
  13. Chung-Chin Shih, Ti-Rong Wu, Ting Han Wei, and I-Chen Wu, "A Novel Approach to Solving Goal-Achieving Problems for Board Games," in Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 9, pp. 10362-10369, February 2022. (Acceptance rate: 1349/9020 approx. 15%)
  14. Chung-Chin Shih, An-Jen Liu, and I-Chen Wu, "2017 CITIC Securities Cup - The 1st World AI Go Open," ICGA Journal, vol. 40, no. 4, pp. 363-368, December 2018.
  15. Chung-Chin Shih, Ting Han Wei, Zheng-Yuan Lee, and I-Chen Wu, "Playing Games with the Job-Level Computation System," in 23rd Game Programming Workshop, GPW-18, Kanagawa, Japan, November 16-18, 2018.
  16. Ting-Fu Liao, I-Chen Wu, Guan-Wun Chen, Chung-Chin Shih, Po-Ya Kang, Bing-Tsung Chiang, Ting-Chu Ho, and Ti-Rong Wu, "A Study of Software Framework for Parallel Monte Carlo Tree Search," in 19th Game Programming Workshop, GPW-14, Hakone Seminar House, Kanagawa, Japan, November 7-9, 2014.
  17. Ren-Hua Chung and Chung-Chin Shih, "SeqSIMLA: a sequence and phenotype simulation tool for complex disease studies," BMC Bioinformatics, vol. 14, no. 1, article 199, June 2013.