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2020 – today
- 2024
[c15]Maria Elsa, Hung-Jui Chang, Da-Wei Wang, Chih-Wen Hsueh, Tsan-sheng Hsu:
Coordinated Route Recommendation for Improving Social Distancing in a Congested Subway Network. SIMULTECH 2024: 27-36- 2023
- [c14]Hung-Jui Chang, Wei-Ping Goh, Shu-Chen Tsai, Ting-Yu Lin, Chien-Chi Chang, Mei-Lien Pan, Da-Wei Wang, Tsan-sheng Hsu:
Building Commuting Flows for an Agent Based Disease Spreading Simulation System Based on Aggregated Information. SIMULTECH 2023: 303-310 - 2022
- [c13]Zong-Kai Lai, Yi-Ting Chiang, Tsan-sheng Hsu, Hung-Jui Chang:
Using Machine Learning Methods and the Influenza Simulation System to Explore the Similarities of Taiwan's Administrative Regions. DATA 2022: 416-422 - [c12]Wei-Ping Goh, Shu-Chen Tsai, Hung-Jui Chang, Ting-Yu Lin, Chien-Chi Chang, Mei-Lien Pan, Da-Wei Wang, Tsan-sheng Hsu:
Household Structure Projection: A Monte-Carlo based Approach. SIMULTECH 2022: 70-79 - 2021
- [c11]Hung-Jui Chang, Cheng Yueh, Gang-Yu Fan, Ting-Yu Lin, Tsan-sheng Hsu:
Opponent Model Selection Using Deep Learning. ACG 2021: 176-186 - [c10]Ting-Yu Lin, Wei-Ping Goh, Hung-Jui Chang, Mei-Lien Pan, Shu-Chen Tsai, Da-Wei Wang, Tsan-sheng Hsu:
Changing of Spreading Dynamics for Infectious Diseases in an Aging Society: A Simulation Case Study on Flu Pandemic. SIMULTECH 2021: 453-460
2010 – 2019
- 2018
- [j6]Hung-Jui Chang, Jr-Chang Chen, Gang-Yu Fan, Chih-Wen Hsueh, Tsan-sheng Hsu:
Using Chinese dark chess endgame databases to validate and fine-tune game evaluation functions. J. Int. Comput. Games Assoc. 40(2): 45-60 (2018) - [j5]Hung-Jui Chang, Jr-Chang Chen, Chih-Wen Hsueh, Tsan-sheng Hsu:
Analysis and efficient solutions for 2 × 4 Chinese dark chess. J. Int. Comput. Games Assoc. 40(2): 61-76 (2018) - [j4]Jr-Chang Chen
, Gang-Yu Fan, Hung-Jui Chang, Tsan-sheng Hsu:
Compressing Chinese Dark Chess Endgame Databases by Deep Learning. IEEE Trans. Games 10(4): 413-422 (2018) - 2017
- [c9]Hung-Jui Chang, Gang-Yu Fan, Jr-Chang Chen, Chih-Wen Hsueh, Tsan-sheng Hsu:
Validating and Fine-Tuning of Game Evaluation Functions Using Endgame Databases. CGW@IJCAI 2017: 137-150 - [c8]Zong-De Jian, Hung-Jui Chang, Tsan-sheng Hsu, Da-Wei Wang:
Learning from Simulated World - Surrogates Construction with Deep Neural Network. SIMULTECH 2017: 83-92 - [c7]Zong-De Jian, Hung-Jui Chang, Tsan-sheng Hsu, Da-Wei Wang:
Applying Deep Learning for Surrogate Construction of Simulation Systems. SIMULTECH (Selected Papers) 2017: 335-350 - 2015
- [c6]Hung-Jui Chang, Chih-Wen Hsueh, Tsan-sheng Hsu:
Convergence and correctness analysis of Monte-Carlo tree search algorithms: A case study of 2 by 4 Chinese dark chess. CIG 2015: 260-266 - [c5]Hung-Jui Chang, Jen-Hsiang Chuang, Yang-Chih Fu, Tsan-sheng Hsu, Chih-Wen Hsueh, Shu-Chen Tsai, Da-Wei Wang:
The Impact of Household Structures on Pandemic Influenza Vaccination Priority. SIMULTECH 2015: 482-487 - 2014
- [j3]Bo-Nian Chen, Hung-Jui Chang, Shun-Chin Hsu, Jr-Chang Chen, Tsan-sheng Hsu:
Advanced Meta-knowledge for Chinese Chess Endgame Knowledge Bases. J. Int. Comput. Games Assoc. 37(1): 17-24 (2014) - [c4]Hung-Jui Chang, Jen-Hsiang Chuang, Tsung-Chen Chern, Mart Stein, Richard Coker, Da-Wei Wang, Tsan-sheng Hsu:
A comparison between a deterministic, compartmental model and an individual based-stochastic model for simulating the transmission dynamics of pandemic influenza. SIMULTECH 2014: 586-594 - 2013
- [j2]Bo-Nian Chen, Hung-Jui Chang, Shun-Chin Hsu, Jr-Chang Chen, Tsan-sheng Hsu:
Multilevel Inference in Chinese Chess Endgame Knowledge Bases. J. Int. Comput. Games Assoc. 36(4): 203-214 (2013) - [c3]Hung-Jui Chang, Tsan-sheng Hsu:
A Quantitative Study of 2 \times 4 2 × 4 Chinese Dark Chess. Computers and Games 2013: 151-162 - 2012
- [j1]Jan-Jan Wu, Hung-Jui Chang, Yufan Ho, Pangfeng Liu:
Scheduling of variable-time jobs for distributed systems with heterogeneous processor cardinality. Int. J. Ad Hoc Ubiquitous Comput. 10(2): 112-121 (2012) - 2011
- [c2]Hung-Jui Chang, Meng-Tsung Tsai, Tsan-sheng Hsu:
Game Tree Search with Adaptive Resolution. ACG 2011: 306-319
2000 – 2009
- 2009
- [c1]Hung-Jui Chang, Jan-Jan Wu, Pangfeng Liu:
Job Scheduling Techniques for Distributed Systems with Heterogeneous Processor Cardinality. ISPAN 2009: 57-62
Coauthor Index
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