XGW got his PhD degree from Beijing Normal University in 2002. His PhD thesis is about measure synchronization in coupled Hamiltonian systems, carried out at the Physics Department under the supervision of Prof. Gang Hu. After graduated, he joined the Temasek Laboratories at National University of Singapore as a research scientist, collaborating with Prof. Choy Heng Lai on topics of chaos-based secure communications and complex network analysis. In 2008, he moved back to China and joined the Physics Department at Zhejiang University as a full professor, working on fusion plasma theory. In 2013, he joined the Physics Department at Shaanxi Normal University. His current research interest is mainly focusing on the collective behaviors emerged in coupled complex systems, and their implications to the functionality of the human brain and the artificial neural networks. He has published more than 90 papers in peer-reviewed journals, which, according to the record of Web of Science, have been cited about 1500 times, with H-index=21. XGW is now a “Qujiang” Professor in Shaanxi Normal University. In 2014, he received the "Shaanxi Youth Science and Technology Award". In 2017, he was awarded the title of "Leading and Innovative Talent in Science and Technology" by Shaanxi Province.
Mechanics (for undergraduate students),
Nonlinear Dynamics (for graduate students),
Complex Systems: an Introduction (for graduate students)
Nonlinear Dynamics, Complex Networks, Computational Neuroscience,
Pattern Formation, Machine Learning, Physics Education
Research ID: ABD-8448-2020; ORCID iD: 0000-0002-6851-0109;
A full publication list can be found at Google Scholar
Publications in Recent 3 Years：(*:Corresponding author) (Last update: 2022/9)
 Liang Wang, Huawei Fan, Jinghua Xiao, Yueheng Lan, and Xingang Wang*, “Criticality in reservoir computer of coupled phase oscillators”, Physical Review E 105, L052201(Letter) (2022).
 Huawei Fan, Liang Wang, Yao Du, Yafeng Wang, Jinghua Xiao, and Xingang Wang*, “Learning the dynamics of coupled oscillators from transients”, Physical Review Research 4, 013137 (2022).
 Ya Wang, Dapeng Zhang, Liang Wang, Qing Li, Hui Cao*, and Xingang Wang*, “Cluster synchronization induced by manifold deformation”, Chaos 32, 093139 (2022).
 Han Zhang, Huawei Fan, Yao Du, Liang Wang, and Xingang Wang*, “Anticipating measure synchronization in coupled Hamiltonian systems with machine learning”, Chaos 32, 083136 (2022).
 Han Zhang, Huawei Fan, Liang Wang, and Xingang Wang*, “Learning Hamiltonian dynamics with reservoir computing,” Physical Review E 104, 024205 (2021).
 Huawei Fan, Ling-Wei Kong, Ying-Cheng Lai, and Xingang Wang*, “Anticipating synchronization with machine learning”, Physical Review Research 3, 023237 (2021).
 Bingwei Li, Yuan He, Linig-Dong Li, Lei Yang, and Xingang Wang*, “Spiral wave chimeras in reaction-diffusion systems: Phenomenon, mechanism and transitions”, Communications in Nonlinear Science and Numerical Simulation 99, 105830 (2021).
 Yali Guo, Han Zhang, Liang Wang, Huawei Fan, Jinghua Xiao, and Xingang Wang*, “Transfer learning of chaotic systems”, Chaos 31, 011104 (2021). (Fast track).
 Huawei Fan, Ling-Wei Kong, Xingang Wang, Alan Hastings, and Ying-Cheng Lai, “Synchronization within synchronization: transients and intermittency in ecological networks”, National Science Review, 8:nwaa269 (2021).
Highlights on National Science Review, Physics.org, Science Codex
 Liang Wang, Yali Guo, Ya Wang, Huawei Fan, and Xingang Wang*, “Pinning control of cluster synchronization in regular networks”, Physical Review Research 2, 023084 (2020).
 Huawei Fan, Junjue Jiang, C. Zhang, Xingang Wang, and Ying-Cheng Lai, “Long-term predication of chaotic systems with machine learning”, Physical Review Research 2, 012080(Rapid) (2020).
 Xingang Wang*, “Synchronous patterns in complex networks”, Scientia Sinica: Physica, Mechanica & Astronomica 50, 010503 (2020). (Review Paper).
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