马欢飞

数学科学学院

江苏省应用数学（苏州大学）中心

苏州大学

江苏省苏州市十梓街1号，215021

hfma[at]suda.edu.cn

[履历][教学][研究兴趣][论文与著作]    [English]

履历:

2019.8-至今 苏州大学数学科学学院 教授

2014-2019 苏州大学数学科学学院 副教授

2010-2014 苏州大学数学科学学院 讲师

2012.4-2013.8 东京大学 博士后研究员

2012.1-2012.2 香港城市大学 访问学者

2005-2010 复旦大学 博士研究生

2001-2005 复旦大学 本科

教学工作:

[数据结构课程教学资源][离散数学教学资源][Java教学资源]

数据结构 2013F,2016F-2019F,2017S-2026S

离散数学 2014F,2015S,2015F,2016S

概率论与数理统计 2014S,2015S

面向对象程序设计(Java)2011F,2013F,2014F,2015F

线性代数 2011F

数学分析II (TA) 2011S

数学分析I (TA) 2010F

研究兴趣:

非线性动力系统、系统生物学、人工智能数学理论及交叉应用

论文与著作

  1. Zihan Dai, Duxin Chen, Luonan Chen, Huanfei Ma, "Spiking neural networks with random network architecture", Discrete and Continuous Dynamical Systems - I: Intelligence, 2026, 1(3). doi: 10.3934/dcdsi.A260303
  2. J. Xia, and H-F. Ma, "Hybrid optimization for efficient pruning of randomly generated neural networks", Chaos 35 (7): 073137，July 2025; https://doi.org/10.1063/5.0273379
  3. R. Cao, J. Zhao, C. Guan, H-F. Ma, J. Shi, and S. Leng, "Reservoir cross mapping as a nonlinear framework for detecting dynamical causality", Cell Reports Physical Science Volume 6, Issue 7, 102683，2025, https://doi.org/10.1016/j.xcrp.2025.102683
  4. H-F. Ma, and W. Lin, "Iteratively Adaptive Identification of Parameters Solely Using Short-term Data of Transient Dynamics." SIAM Journal on Applied Mathematics, 85（1），393-411，2025. https://doi.org/10.1137/24M1637222
  5. J. Xia, L. Chen, and H-F. Ma, "Enhanced chaotic communication with machine learning." AIP Advances 1 November 2024; 14 (11): 115026. https://doi.org/10.1063/5.0237990
  6. 陈洛南，刘锐，马欢飞，史际帆，《动力学刻画的数据科学理论和方法》，科学出版社，北京，2024，ISBN 978-7-5088-6449-5
  7. X. Li, Q. Zhu, C. Zhao, X. Duan, B. Zhao, X. Zhang, H-F. Ma, J. Sun, and W. Lin, " Higher-order Granger reservoir computing: simultaneously achieving scalable complex structures inference and accurate dynamics prediction." Nature Communications, 15, 2506, 2024. https://doi.org/10.1038/s41467-024-46852-1 (Editorially selected as a Featured Article both in NC's focus contents: AI & machine learning & Applied physics and mathematics & Top 25 physics articles published in NC 2024).
  8. J. Xia, J-Y. Chu, S-Y. Leng, and H-F. Ma, "Reservoir Computing Decoupling Memory-Nonlinearity Trade-Off", Chaos 33 (11) : 113120, Nov.2023. https://doi.org/10.1063/5.0156224
  9. X-Y. Duan, X. Ying, S-Y. Leng, J. Kurths, W. Lin, and H-F. Ma, "Embedding Theory of Reservoir Computing and Reducing Reservoir Network Using Time Delays", Physical Review Research, 5, L022041 ，May 2023, https://doi.org/10.1103/PhysRevResearch.5.L022041
  10. D. Shao, J. Chu, L. Chen, and H-F. Ma, "Data Assimilation with Hybrid Modelling",  Chaos, Solitons & Fractals, Vol. 167, 113069, Feb. 2023.DOI:10.1016/j.chaos.2022.113069
  11. B. Ren, H-F. Ma, "Global optimization of hyper-parameters in reservoir computing",  Electronic Research Archive, 30(7), 2022, 2719-2729.doi:10.3934/era.2022139
  12. X. Ying, S-Y. Leng, H-F. Ma, Q. Nie, Y-C. Lai, W. Lin, "Continuity Scaling: A Rigorous Framework for Detecting and Quantifying Causality Accurately", Research, vol. 2022, Article ID 9870149, 2022. https://doi.org/10.34133/2022/9870149
  13. J-W. Hou#, H-F. Ma#, D. He, J. Sun, Q. Nie, and W. Lin, "Harvesting random embedding for high-frequency change-point detection in temporal complex systems" , National Science Review,Vol 9, Issue 4, April 2022, nwab228, https://doi.org/10.1093/nsr/nwab228 （# Equally contributed）
  14. H. F. Ma, S. Y. Leng, and L.Chen, "Detecting High-Dimensional Causal Networks using Randomly Conditioned Granger Causality", CSIAM transactions on applied mathematics, Vol 2, Issue 4, 680-696, 2021, doi:10.4208/csiam-am.2020-0184
  15. S.Y. Leng, H.F. Ma, J. Kurths, Y-C. Lai , W. Lin, K. Aihara , and L. Chen, "Partial cross mapping eliminates indirect causal influences", Nature Communications, 11, 2632, 2020， https://doi.org/10.1038/s41467-020-16238-0
  16. D. Sun, F. Liu, S. E. Mitchell, H. F. Ma, D. Derous, Y. Wang, Y, J. Han, D. Promislow, D. Lusseau, A. Douglas, J.R. Speakman, L. Chen, "The effects of graded levels of calorie restriction XV: phase space attractors reveal distinct behavioral phenotypes", The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, Vol 75, Issue 5, pp. 858–866, May 2020,  https://doi.org/10.1093/gerona/glaa055
  17. C. Chen, R. Li, L. Shu, Z. He, J. Wang, C. Zhang, H.F. Ma, K. Aihara, and L. Chen, "Predicting future dynamics from short-term time series by anticipated learning machine", National Science Review, nwaa025，Vol. 7, Issue 6, pp. 1079–1091, June 2020, https://doi.org/10.1093/nsr/nwaa025
  18. S.Y. Leng, Z.W. Xu, and H.F. Ma, "Reconstructing Directional Causal Networks with Random Forest: Causality Meeting Machine Learning" , CHAOS, Vol. 29, 093130, 2019 https://doi.org/10.1063/1.5120778
  19. Q. Zhu, H.F. Ma, and W. Lin, "Detecting unstable periodic orbits based only on time series: When adaptive
    delayed feedback control meets reservoir computing" , CHAOS, Vol. 29,093125, 2019  https://doi.org/10.1063/1.5120867
  20. H.F. Ma, S.Y. Leng, K. Aihara, W. Lin, and L.N. Chen, " Randomly distributed embedding making short-term high-dimensional data predictable",Proceedings of the National Academy of Sciences of the United States of America, Vol. 115(43) E9994-E10002, Oct 2018. DOI: 10.1073/pnas.1802987115
  21. H.F. Ma, S.Y. Leng, and L.N. Chen, "Data-based prediction and causality inference of nonlinear dynamics" , Science China Mathematics, Vol.61, pp.404, 2018. https://doi.org/10.1007/s11425-017-9177-0
  22. H.F. Ma, S.Y. Leng, C.Y. Tao, X. Ying, J. Kurths, Y-C Lai, and W. Lin "Detection of time delays and directional interactions based on time series from complex dynamical systems" , Physical Review E, vol 96, 012221, 2017.
  23. H.F. Ma, D. W. C. Ho, Y-C Lai, and W. Lin "Detection meeting control: Unstable steady states in high-dimensional nonlinear dynamical systems", Physical Review E,vol 92, 042902, Oct 2015.
  24. H.F. Ma, T.S. Zhou, K. Aihara, and L.N. Chen, "Predicting Time Series from Short-Term High-Dimensional Data", International Journal of Bifurcation and Chaos, Vol. 24, No. 12, 1430033, Dec. 2014.
  25. H.F. Ma, K. Aihara, and L.N. Chen, "Detecting Causality from Nonlinear Dynamics with Short-term Time Series", Scientific Reports, vol. 4, No. 7464, Dec. 2014. Open Access: http://www.nature.com/srep/2014/141212/srep07464/full/srep07464.html
  26. H.F. Ma and W. Lin, "Realization of Parameters Identification in Only Locally Lipschitzian Dynamical Systems with Multiple Types of Time Delays", SIAM Journal on Control and Optimization,vol. 51,pp. 3692-3721, Sep. 2013.
  27. H.F. Ma, W. Lin and Y-C Lai, "Detecting unstable periodic orbits in high-dimensional chaotic systems from time series: Reconstruction meeting with adaptation", Physical Review E Rapid Communication, vol. 87, 050901(R), May, 2013.
  28. H.F. Ma and H.B. Kan, "A new scheme of digital communication using chaotic signals in MIMO channels," SCIENCE CHINA Information Sciences, vol. 54, pp. 1-11, 2011.
  29. H.F. Ma, B. Xu, W. Lin and J. Feng, "Adaptive identification of time delays in nonlinear dynamical models," Physical Review E, vol. 82, 066210, Dec 2010.
  30. W. Lin, H. Ma, J. Feng and G. Chen, "Locating unstable periodic orbits: When adaptation integrates into delayed feedback control," Physical Review E, vol. 82, 046214, Oct 2010
  31. W. Lin and H.F. Ma, "Synchronization Between Adaptively Coupled Systems With Discrete and Distributed Time-Delays," IEEE Transactions on Automatic Control, vol. 55, pp. 819-830, Apr 2010.
  32. H.F. Ma and W. Lin, "Nonlinear adaptive synchronization rule for identification of a large amount of parameters in dynamical models," Physics Letters A, vol. 374, pp. 161-168, Dec 2009.
  33. W. Lin and H.F. Ma, "Failure of parameter identification based on adaptive synchronization techniques," Physical Review E, vol. 75, 066212,Jun 2007.