I graduated from the School of Artificial Intelligence in Xidian University and am currently pursuing a master’s degree in the School of Telecommunications Engineering.

My research interests include Time Series Analysis (TSA), Signal Processing, Complex System Modeling and Symbolic Regression.

I’m captivated by time series in all forms, which 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.

Predicting multiple observations in complex systems through low-dimensional embeddings

[ICLR 2025] Towards Neural Scaling Laws for Time Series Foundation Models

[TMLR 2024] Chronos: Learning the Language of Time Series