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wwhenxuan/README.md

Hi , I'm whenxuan

🌐 Homepage | 💻 GitHub | 📧 Email | 🎓 Google Scholar

🔭 About Me: 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.

🌱 Research interests: Time Series Analysis (TSA) with deep learning methods, Signal Processing, Complex System Modeling and Symbolic Regression (Scientific Discovery).

😄 Hobbies: About programming, photography (Nikon Z6III), videography, cycling and hiking. I think any one of them is enough to support a person to live a wonderful life.

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🔥 News

  • [Sep. 2025] Our paper "SymTime: Synthetic Series-Symbol Data Generation for Time Series Foundation Models" has been accepted by NeurIPS 2025.

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  1. SymTime SymTime Public

    The official PyTorch implementation of our NeurIPS'25 paper: Synthetic Series-Symbol Data Generation for Time Series Foundation Models.

    Python 16 4

  2. PySDKit PySDKit Public

    A Python library for signal decomposition algorithms

    Python 178 25

  3. S2Generator S2Generator Public

    A series-symbol (S2) dual-modality data generation mechanism, enabling the unrestricted creation of high-quality time series data paired with corresponding symbolic representations.

    Python 13 3

  4. Vortex-Artificial-Intelligence/Channel-Attention Vortex-Artificial-Intelligence/Channel-Attention Public

    A plug-and-play channel attention mechanism module implemented in PyTorch.

    Python 2 2