 | Leng Siyang Principal Investigator, Doctoral Supervisor Academy for Engineering & Technology, Fudan University Affiliated Research Fellow, Research Institute of Intelligent Complex Systems, Fudan University E-mail: syleng@fudan.edu.cn |
Personal Profile
Siyang Leng’s current research interests include applied mathematical theories, models, algorithms in cross-disciplinary fields such as nonlinear dynamical systems, complex networks, artificial intelligence, computational systems biology, etc., with results published in top international academic journals such as Nature Communications, PRL, PNAS, Research, Neural Networks and top international academic conferences such as IEEE CDC. He was awarded the 2019 International Consortium of Chinese Mathematicians (ICCM) Best Paper Award and the 2022 “Research” Best Paper Award. He leads/participates in several national and provincial scientific research projects, and was selected as an Excellent Young Scientist (Overseas) supported by NSFC in 2021. He serves as a mentor of Tengfei College and an editorial board member of Journal of Fudan University (Natural Science). He teaches undergraduate and graduate courses such as Elementary Mathematics in Artificial Intelligence and Applied Mathematical Methods.
Education
2011.09 - 2016.06 School of Mathematical Sciences, Fudan University Ph. D. in Applied Mathematics (Supervisor: Professor Wei Lin)
2014.09 - 2015.09 Potsdam Institute for Climate Impact Research Joint Ph. D. Student (Supervisor: Professor Jürgen Kurths)
2006.09 - 2011.07 School of Mathematical Sciences, Fudan University B. Sc. in Information and Computing Science
Position
2023.10 - Present Research Institute of Intelligent Complex Systems, Fudan University Affiliated Research Fellow
2020.08 - Present Academy for Engineering & Technology, Fudan University Young Principal Investigator
2016.11 - 2020.03 Institute of Industrial Science, The University of Tokyo Project Researcher (Advisor: Professor Kazuyuki Aihara & Professor Luonan Chen)
Representative Publications
Minhao Zou, Zhongxue Gan, Yutong Wang, Junheng Zhang, Dongyan Sui, Chun Guan, and Siyang Leng*, UniG-Encoder: A universal feature encoder for graph and hypergraph node classification, Pattern Recognition, 2024, 147: 110115.
Dongyan Sui, Chun Guan, Zhongxue Gan*, Wei Lin, and Siyang Leng*, Tuning Convergence Rate via Non-Bayesian Social Learning: A Trade-Off between Internal Belief and External Information, The 62nd IEEE Conference on Decision and Control (IEEE CDC 2023).
Xiong Ying#, Si-Yang Leng#, Huan-Fei Ma, Qing Nie, Ying-Cheng Lai, and Wei Lin*, Continuity scaling: A rigorous framework for detecting and quantifying causality accurately, Research, 2022, 2022: 9870149.
Siyang Leng, Huanfei Ma, Jürgen Kurths, Ying-Cheng Lai, Wei Lin*, Kazuyuki Aihara*, and Luonan Chen*, Partial cross mapping eliminates indirect causal influences, Nature Communications, 2020, 11: 2632.
Siyang Leng*, and Kazuyuki Aihara, Common stochastic inputs induce neuronal transient synchronization with partial reset, Neural Networks, 2020, 128: 13-21.
Huanfei Ma, Siyang Leng, Kazuyuki Aihara*, Wei Lin*, and Luonan Chen*, Randomly distributed embedding making short-term high-dimensional data predictable, Proceedings of the National Academy of Sciences of the United States of America, 2018, 115(43): E9994-E10002.
Yong-Zheng Sun#, Si-Yang Leng#, Ying-Cheng Lai, Celso Grebogi, and Wei Lin*, Closed-Loop Control of Complex Networks: A Trade-Off between Time and Energy, Physical Review Letters, 2017, 119(19): 198301.
(* Corresponding Author, # Co-First Author)
