Publications
Journal Papers
- Hao, M., Wei, S., Huang, Y., Zheng, Q. 2025. TVITA: A Lightweight Transfer Learning-Based Vision Transformer for Accurate Plant Disease Identification. Interciencia Journal, 50(3), 49-93. DOI: https://doi.org/10.82044/BGd9P
- Wei, S., Zhao, J., Li, J., Yuan, M. 2023. Seq2seq model for human action recognition based on skeleton and two-layer bidirectional LSTM. Journal of Ambient Intelligence and Smart Environments, 15(4), 315-331. DOI: https://doi.org/10.3233/AIS-220125
- Yuan, M., Wei, S. Sun, M., Zhao, J. 2022. Wavelet Decomposition and Seq2Seq Hybrid Models for Water Quality Prediction. Water Resources, 49(4):743-752. https://doi.org/10.1134/S0097807822040212
- Yuan, M., Wei, S. Sun, M., Zhao, J. 2022. Seq2Seq Water Quality Prediction Model Based on Wavelet Denoising and LSTM. Computer Systems & Applications, 31(6):38-47.(in Chinese). DOI: 10.15888/j.cnki.csa.008506.
- Yi,X., Wei S., Shi, Y., Fu, C., Xing, L.., Yan, J., Zhao, J. 2021. Hydrological Series Prediction Model Based on Wavelet Nonlinear Autoregressive Network. Computer Technology and Development, 31(03):70-77. (in Chinese). doi:10. 3969 / j. issn. 1673-629X. 2021. 03. 012.
- Yuan, M., Wei, S., Zhao, J., Sun, Ｍ. 2021. A Sytemactic Survey on Human Behavior Recognition Methods. SN Computer Science,3, Article number: 6 (2022). https://doi.org/10.1007/s42979-021-00932-x.
- Sun M, Wei S, Wang Y, Zhao J, Yuan M. Prediction Model of Water Quality Based on Wavelet Decomposition and LSTM. Computer Systems and Applications, 2020, 29(12): 55-63 (inChinese). DOI: 10.15888/j.cnki.csa.007695.
Books:
- Wei, Shouke. 2005. Managing World Heritage Sites in China from an Economic Perspective. Berlin: Disserttion.de-Verlag.
- Wei, Shouke. 2015. An Application of Game Theoretic Models to Water Resources Management. Vancouver: Emodlogic Technology Inc.
- Wei, Shouke. 2026. Practical Data Analysis and Visualization with Python: Data Exploration, Visualization, and Scalable Data Processing. 1st ed. Abbotsford, BC: Deepsim Press. https://doi.org/10.5281/zenodo.19388650.
- Wei, Shouke. 2026. Foundation and Core Wavelet Theory: Concepts, Mathematics, and Python Foundations. Vol. I. Wavelet Transform in Practice: From Theory to Production-Ready Python Applications. 1st ed. Abbotsford, BC: Deepsim Press. https://doi.org/10.5281/zenodo.17373653.
- Wei, Shouke. 2026. Applied Wavelet Analysis: Denoising, Trend Extraction, and Compression. Vol. II-A. Wavelet Transform in Practice: From Theory to Production-Ready Python Applications. 1st ed. Abbotsford, BC: Deepsim Press. https://doi.org/10.5281/zenodo.18791877.
- Wei, Shouke. 2026. Wavelet Advanced Methods: Multiresolution Analysis, Custom Wavelets, and Feature Engineering. Vol. II-B. Wavelet Transform in Practice: From Theory to Production-Ready Python Applications. 1st ed. Abbotsford, BC: Deepsim Press. https://doi.org/10.5281/zenodo.18820664.
- Wei, Shouke. 2026. Scientific and Environmental Systems: Biomedical, Geophysical, and Environmental Signal Analysis. Vol. III-A. Wavelet Transform in Practice: From Theory to Production-Ready Python Applications. 1st ed. Abbotsford, BC: Deepsim Press. https://doi.org/10.5281/zenodo.18914750.
- Wei, Shouke. 2026. Financial, Security, and Digital Systems: Finance, Data Security, Signal Processing, and Anomaly Detection. Vol. III-B. Wavelet Transform in Practice: From Theory to Production-Ready Python Applications. 1st ed. Abbotsford, BC: Deepsim Press. https://doi.org/10.5281/zenodo.18933173.
- Wei, Shouke. 2026. Practical Data Modeling and Machine Learning with Python: From Data Preparation to Model Evaluation and Optimization. 1st ed. Abbotsford, BC: Deepsim Press. https://doi.org/10.5281/zenodo.19753396.
- Wei, Shouke. 2026. Advanced Data Modeling and Forecasting with Python: Time Series, Advanced Modeling, and Real-World Systems. 1st ed. Abbotsford, BC: Deepsim Press. https://doi.org/10.5281/zenodo.20043592.
- Wei, Shouke. 2026. Learn Python by Building Your Own AI Companion: Master Modern Python by Building a Smart AI Companion System. 1st ed. Abbotsford, BC: Deepsim Press. https://doi.org/10.5281/zenodo.20102902.