Professor
School of Mathematical Sciences
Jiangsu Applied Mathematics Center (Soochow University)
No.1 Shizi Street, Suzhou, Jiangsu, 215021
hfma[at]suda.edu.cn
Professor, Soochow University, from 2019
Associate Professor, Soochow University, 2014-2019
Lecturer, Soochow University, 2010-2014
Post-doc., The University of Tokyo, 2012.4-2013.8
Visting Scholar, City University of Hong Kong, 2012.1-2012.2
Ph.D. Fudan University, 2005-2010
B.Sc. Fudan University, 2001-2005
Data Structure 2013F,2016F-2019F,2017S-2024S
Discrete Mathematics [Materials] 2014F,2015S,2015F,2016S
Probablity and Statistics 2014S,2015S
Java Programming 2011F,2013F,2014F,2015F
Linear Algebra 2011F
Mathematical Analysis II (TA) 2011S
Mathematical Analysis I (TA) 2010F
My Research Interests include:
Nonlinear dynamical systems;
Computational systems biology;
Chaos control and synchronization(adaptive techniques)
Publications:
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
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
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
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
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
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
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
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
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
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
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）
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
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
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
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
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
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
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
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
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.
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.
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.
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
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.
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.
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.
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.
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
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.
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.
W. Lin and H.F. Ma, "Failure of parameter identification based on adaptive synchronization techniques," Physical Review E, vol. 75, 066212,Jun 2007.
