Wenxuan Wang (王文轩)
I am a senior student in Xidian University, with school of Artifical Intelligence.
My research instrests include Time Series Analysis (TSA), Signal Processing, Complex System Modeling, Learning to Optimize (L2O).
I’m captivated by time series in all forms, whicn intricate dances of data that unveil the hidden rhythms of complex dynamical systems. Each time series whisper the story of its creator: perhaps a high-order linear systems, a nonlinear systems, or a chaotic. When you trace their essence through differential equations, you cannot escape the haunting beauty of chaos and fractals, a universe where order and turbulence waltz in eternal paradox.
Publications
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation
Wang W, Wu K, Li Y B, et al. Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation[J]. arXiv preprint arXiv:2502.15466, 2025.
PySDKit: signal decomposition in Python
Wenxuan Wang. (2025). "PySDKit: signal decomposition in Python" Github.
Blog Posts
My blog will introduce you to papers on complex system modeling published in Nature, top conference on time series analysis, and some interesting points.