- J. Xia, and H-F. Ma, "Hybrid optimization for efficient pruning of randomly generated neural networks", Chaos 35 (7): 073137, July 2025
- 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
- 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
- J. Xia, L. Chen, and H-F. Ma, "Enhanced chaotic communication with machine learning." AIP Advances 1 November 2024; 14 (11): 115026
- Luo Nan Chen, Rui Liu, Huanfei Ma, Ji Fan Shi, "Theory and Methods of Data Science Characterized by Dynamics", Science Press, Beijing, 2024, ISBN 978-7-5088-6449-5
- 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
- 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
- D. Shao, J. Chu, L. Chen, and H-F. Ma, "Data Assimilation with Hybrid Modelling", Chaos, Solitons & Fractals, Vol. 167, 113069, Feb. 2023
- B. Ren, H-F. Ma, "Global optimization of hyper-parameters in reservoir computing", Electronic Research Archive, 30(7), 2022, 2719-2729
- 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
- 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
- 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
- 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
- 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
- C. Chen, R. Li, L. Shu, Z. He, J. Wang, C. Zhang, H.F. Ma, K. Aihara, and L. Chen, "P"
Research Experience
- Professor, August 2019 - present, School of Mathematical Sciences, Soochow University
- Associate Professor, 2014-2019, School of Mathematical Sciences, Soochow University
- Lecturer, 2010-2014, School of Mathematical Sciences, Soochow University
- Postdoctoral Fellow, April 2012 - August 2013, University of Tokyo
- Visiting Scholar, January 2012 - February 2012, City University of Hong Kong
Education
- PhD, 2005-2010, Fudan University
- Bachelor's Degree, 2001-2005, Fudan University
Background
Research Interests: Nonlinear dynamical systems, systems biology, mathematical theory of artificial intelligence, and interdisciplinary applications. Currently, he is a professor at the School of Mathematical Sciences, Soochow University.