Changtong Luo, PhD, Associate Professor 

University of Chinese Academy of Sciences

Institute of Mechanics, Chinese Academy of Sciences 

Email: luo{at} 

Academic Homepage:

Research Areas

Computational Intelligence, Machine Learning, Computational Fluid Dynamics and their applications in high-temperature gas dynamics


  • 2003.9 - 2007.7, Institute of Mathematics, Jilin University, doctoral student, Major in Operations Research and Control Theory
  • 2001.9 - 2003.7, Institute of Mathematics, Jilin University, master student, Major in Operational Research and Control Theory
  • 1993.9 - 1997.7, Department of Mathematics, North-East Normal University, Major in Applied Mathematics, undergraduate student

Professional Experience

  • 2012.1 - now, Associate Professor, Institute of Mechanics, Chinese Academy of Sciences
  • 2009.6 - 2011.12, Assistant Professor, Institute of Mechanics, Chinese Academy of Sciences
  • 2007.9 - 2009.4, COE Researcher, Department of Computational Science and Engineering, Nagoya University, Japan

Honors & Distinctions

  1. Outstanding Science and Technology Achievement Prize of the Chinese Academy of Sciences, Research group of shock tunnel for duplication of hypersonic flight conditions, 10 of 17, 2016
    中国科学院杰出科技成就奖,复现高超声速飞行条件激波风洞研究集体, 10/17, 2016

  2. Best Presentation Award in Algorithm, Crude-Line-Search for Iterative Optimization Methods, International Symposium on Frontiers of Computational Science 2008 (FCS2008, Japan).



  • M.S. Yang, C.T. Luo, Optimization: Theory, Method And Software (in Chinese), Science Press, Beijing, 2006.
    阳明盛,罗长童,最优化原理、方法及求解软件, 科学出版社,2006.

Journal Papers

  1. Changtong Luo*, Chen Chen and Zonglin Jiang, Divide and Conquer: A Quick Scheme for Symbolic Regression, International Journal of Computational Methods, Vol. 19, No. 08, 文章号:2142002,2022
  2. ​Changtong Luo, A simple form of Rayleigh pitot tube formula, Journal of Brief Ideas,, Published: 23 Sep, 2022
  3. Z Jiang, Z Zhang, Y Liu, C Wang, C Luo, The criteria for hypersonic airbreathing propulsion and its experimental verification, Chinese Journal of Aeronautics, Volume 34, Issue 3, March 2021, Pages 94-104
  4. J. Peng J., C. Luo, Z. Han, Z. Hu, G. Han, Z. Jiang, Parameter-correlation study on shock–shock interaction using a machine learning method, Aerospace Science and Technology 107, 106247, 2020 
  5. C. Luo*, Y. Wang, Z. Hu, J. Li, Z. Jiang, Weighting by cross-validation: A calibration method for force measurements via transient response analysis, Experimental Techniques, Volume 43, Issue 4, pp 469–478, 2019
  6. C. Chen, C. Luo*, Z. Jiang, A multilevel block building algorithm for fast modeling generalized separable systems, Expert Systems with Applications 109, 25-34 2018
  7. C. Chen, C. Luo*, Z. Jiang, Block building programming for symbolic regression Neurocomputing 275, 1973-1980, 2018
  8. B. Meng, G. Han, C. Luo, Z. Jiang, Numerical investigation of the axial impulse load during the startup in the shock tunnel, Aerospace Science and Technology 73, 332-342, 2018
  9. Y. Liu, Y. Wang, C. Yuan, C. Luo, Z. Jiang, Aerodynamic force and moment measurement of 10° half-angle cone in JF12 shock tunnel, Chinese Journal of Aeronautics 30(3),983-987, 2017
  10. Y. Wang, Y. Liu, C. Luo and Z. Jiang, Force measurement using strain-gauge balance in a shock tunnel with long test duration, Review of Scientific Instruments 87(5):055108, 2016.
  11. Y. Wang,Y. Liu,C. Yuan,C. Luo,C. Wang, Z. Hu, G. Han, W. Zhao, Z. Jiang, Study on force measurement in long-test duration shock tunnel, Lixue Xuebao/Chinese Journal of Theoretical and Applied Mechanics 48(3): 545-556, 2016.
  12. C. Luo*, Z. Hu, S.-L. Zhang, Z. Jiang, Adaptive space transformation: An invariant based method for predicting aerodynamic coefficients of hypersonic vehicles, Engineering Applications of Artificial Intelligence, 46, 93-103, 2015.
  13. C. Luo*, Y. Wang, C. Wang, Z. Jiang, Wave system fitting: A new method for force measurements in shock tunnels with long test duration, Mechanical Systems and Signal Processing, 62-63, pp 296-304, 2015.
  14. C. Luo*, Z. Jiang, C. Wang, Z. Hu, Relative contribution ratio: A quantitative metrics for multi-parameter analysis, Cogent Mathematics, 2: 1068979, 2015.
  15. H. Teng, H. Dick Ng, K. Li, C. Luo, Z. Jiang, Evolution of cellular structures on oblique detonation surfaces, Combustion and Flame, 162(2), 470-477, 2015.
  16. C. Luo*, S.-L. Zhang, B. Yu, Some modifications of low dimensional simplex evolution and their convergence, Optimization Methods and Software 28(1), 54-81, 2013.
  17. C. Luo*, S.-L. Zhang, Parse-matrix evolution for symbolic regression, Engineering Applications of Artificial Intelligence, vol. 25, pp. 1182- 1193, 2012.
  18. C. Luo* and B. Yu, Low dimensional simplex evolution: a new heuristic for global optimization, Journal of Global Optimization, vol. 52, issue 1, pp. 45-55, 2012.
  19. C. Luo*, C. Wang, Z.L. Jiang, S.-L. Zhang, A metamodel-assisted evolutionary algorithm for expensive optimization, Journal of Computational and Applied Mathematics, vol. 236, pp.759-764, 2011.
  20. C. Luo* and B. Yu, Triangle Evolution Algorithm for Global Optimization, Journal of Mathematical Research and Exposition, vol.29, issue 2, pp. 237-246, 2009.
  21. C. Luo* and B. Yu, Solving Min UR Problem by Triangle Evolution Algorithm with Archiving and Niche Techniques, Journal of Information and Computational Science, vol. 4, issue 1, pp.195-203, 2007.
  22. 罗长童, 胡宗民, 刘云峰, 姜宗林, 高超声速风洞气动力/热试验数据天地相关性研究进展,实验流体力学,34(3): 78-89, 2020. 
  23. 姜宗林,罗长童, 胡宗民,刘云峰,高超声速风洞实验数据的多维空间相关理论与关联方法, 中国科学: 物理学 力学 天文学, 45, 124705 (2015)

Conference Papers

[1] B.Yu, C.T. Luo, and Y. Zhang, Studies on Complicated System of Inequalities with Possible Inconsistency, Frontiers Science Series, 49, pp. 147-148, 2007.

[2] C.T. Luo and B. Yu, Low Dimensional Simplex Evolution-A Hybrid Heuristic for Global Optimization, in: Proc. 8th ACIS Int. Conf. Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, pp. 470-474, 2007.

[3] C.T. Luo, S.-L. Zhang, B. Yu, Low Dimensional Reproduction Strategy for Real-coded Evolutionary Algorithms, in: Proc.7th IEEE Int. Conf. Computer and Information Science, pp. 334-339, 2008.

[4] C.T. Luo, S.-L. Zhang, Crude-Line-Search for Iterative Optimization Methods, International Symposium on Frontiers of Computational Science 2008 (FCS2008), Nov. 27-29, Nagoya, Japan.

[5] D.S. Yan, J.T. Zhang, B. Yu, C.T. Luo, S.L. Zhang, A Genetic Algorithm for Finding Minimal Multi-homogeneous Bezout Number, in: Proc.7th IEEE Int. Conf. Computer and Information Science, pp. 301-305, 2008.

[6] C.T. Luo, C. Wang, Z.L. Jiang, S.-L. Zhang, An integrated evolutionary algorithm for expensive global optimization, in: Proc. 6th Int. Conf. Nat. Comput., vol. 5, pp. 2286-2290, 2010.

[7] C.T. Luo, S.-L. Zhang, Z.L. Jiang, A New Evolutionary Algorithm for Ground to Flight Data Correlation, accepted by the 7th East Asia SIAM Conf., Kitakyushu, Japan, 2011

[8] C.T. Luo, Z.L. Jiang, S.-L. Zhang, Performance tests of linear solvers with different preconditioning techniques for computational fluid dynamics, in: Proc. 3rd Int. Conf. Comput. Netw. Technol., vol. 14, pp. 54-58, 2011.

[9] C. Luo, Z. Jiang, A fast mathematical modelling method for aerodynamic-heating predictions, 31st International Symposium on Shock Waves 1, Chapter 58, Springer, 2018.

[10] Z. Jiang, C. Luo, A Multi-Space Interrelation Theory for Correlating Aerodynamic Data from Hypersonic Ground Testing, 31st International Symposium on Shock Waves 1, Chapter 59, Springer, 2018.

[11] C. Chen, C. Luo, Z. Jiang, Elite Bases Regression: A Real-time Algorithm for Symbolic Regression, in: Proc. 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, Guilin, China, 2017. pp. 500-506.

[12] C. Chen, C. Luo and Z. Jiang, Fast Modeling Methods for Complex System with Separable Features, 2017 10th International Symposium on Computational Intelligence and Design (ISCID), Hangzhou, 2017, pp. 201-204.

[13] Y. Wang, Y. Liu, C. Luo, Z. Jiang, Force measurement in a shock tunnel with 100 milliseconds test duration, 34th AIAA Applied Aerodynamics Conference, 2016

Scientific Research Projects

  1. 气动数据关联的泛函学习方法研究,装发基础研究项目群专题项目,负责人, 2021.10-2023.12

  2. 气动热实验数据的泛函学习方法研究,国家自然科学基金面上项目,负责人,2021.01-2024.12

  3. 天地相关性关联函数研究, 航天八院(上海机电工程研究所),横向合作,负责人, 2022.9-2-23.12

  4. 气动热天地一致影响因素泛函空间分析方法研究,航天一院横向,负责人,2015-2016

  5. 基于泛函的气动力热优化算法研究与初步验证,航天一院横向,负责人,2017-2018

  6. 天地映射关系的机器学习建模方法研究,航天一院横向,负责人,2019.1-2019.12

  7. 风洞实验异构数据仓库与关联分析平台研制(课题编号: 11727901-05),国家重大科研仪器研制项目课题,负责人,2019.7-2024.6

  8. 高超声速实验/飞行数据关联理论及方法研究,国家自然科学基金重点项目,主要参与,2016-2020

  9. 高超声速天地相关方法研究,国家重大专项气动力热领域项目, 主要参与,2012-2017

  10. 气动力/热天地换算多空间关联理论与数据库构建, XX国家重大专项气动力/热研究领域子课题, 主持, 2011-12-2014-12 

  11. 设计与优化的数值方法研究, XX国家重大专项气动力/热研究领域子课题, 主持,2009-10-2010-12

  12. 高温气动系统优化设计中的全局优化算法研究, 留学回国人员项目,主持,  2012-06-2013-06

  13. xx高超声速飞行器气动力/热性能分析, XX国家重大专项气动力/热研究领域子课题,主持, 2015-06-2016-12

Graduate Students

Chen Chen (陈辰), enrolled in Sept. 2015, entitled master's degree  in Dec. 2017.

Zheng Chen (陈正), enrolled in Sept. 2018, entitled master's degree  in June 2021.

Shuai Li (李帅) , enrolled in Sept. 2019, entitled master's degree  in June. 2022.

Recruitment of Postgraduates

080103 - Fluid dynamics