College of Computer Engineering, Jimei University, Yinjiang Road 185, Xiamen, China
Email: zhijin@jmu.edu.cn, zhijinecnu@gmail.com
URL: Google Scholar / ORCID / JMU / LinkedIn
2016.07 - Now, College of Computer Engineering, Jimei University
I’m the project founder and lead programmer of the popular open-source sparse time series analysis library pyFAST. Contributions to pyFAST are welcome! Please submit issues or pull requests on GitHub.
Wu S, Wang Z, Liu X, Zhao Y, Hu Y, Huang Y. Temporal structure-preserving transformer for industrial load forecasting[J]. Neural Networks, 2025, 192: 107887. PDF
Wu S, Chen Y, He X, Wang Z, Liu X, Fu Y. Cabin: A collaborative and adaptive framework for wind power forecasting integrating ambient variables[J]. Energy, 2025, 335: 137753. PDF
Huang Y, Wu S, Wang Z, Liu X, Li C, Hu Y. Causality-Aware Multi-Graph Convolutional Networks With Critical Node Dynamics for Electric Vehicle Charging Station Load Forecasting[J]. IEEE Transactions on Smart Grid, 2025, 16(4): 3210-3225. PDF
Wang Z, Liu H, Wu S, Liu X, Liu N, Hu Y, Fu Y. Explainable time-varying directional representations for photovoltaic power generation forecasting[J]. Journal of Cleaner Production, 2024, 468: 143056. PDF
Huang Y, Zhao Y, Wang Z, Liu X, Fu Y. Sparse dynamic graph learning for district heat load forecasting[J]. Applied Energy, 2024, 371: 123685. PDF
Chen Y, Wang Z, Tang J, Lin H, Wu S, Huang Y. Directional Representation Encoder-Decoder for Personalized Blood Glucose Forecasting[C]. in: Yuan S, Malliaros F, Zheng X. Trends and Applications in Knowledge Discovery and Data Mining. Singapore: Springer, 2025: 203-215. PDF
Hu Y, Wu S, Chen Y, et al. CTRL: Collaborative Temporal Representation Learning for Day-ahead Wind Power Forecasting[C]. in: Proceedings of the 8th International Conference on Electronic Information Technology and Computer Engineering. Haikou, China: ACM, 2024. PDF
Wang J, Yuan F, Cheng M, et al. TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback[C]. in: Web and Big Data. APWeb-WAIM. Singapore: Springer Nature Singapore, 2024: 193-208.
Wang Z, Cai B, Yang W, Zhang P, Huang Y, Tang J. Learning High-dimensional Associations for Nonalcoholic Fatty Liver Disease Diagnosis Prediction[C]. in: Proceedings of 2022 IEEE Smartworld, Ubiquitous Intelligence & Computing. Haikou, China, 2022: 194-201. PDF
Zhang P, Wang Z, Chao G, Huang Y, Yan J. An Oriented Attention Model for Infectious Disease Cases Prediction[C]. in: Proceedings of the 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: vol. 13343. Kitakyushu, Japan: Springer, 2022. PDF (Best paper award)
王智谨, 黄耀辉, 刘含静, 等. 一种可解释区域热负荷预测方法、装置、设备及存储介质: 中国, ZL202310414359.2[P]. 2025-10-03. (授权).
王智谨, 蔡兵, 陈荣鑫, 付永钢, 王宗跃. 一种训练传染病预测模型的方法和装置: 中国, ZL202011298182.7[P]. 2022-06-06. (授权).
王智谨, 黄耀辉, 付永钢. 利用细粒度数据的手足口病预测方法、电子设备及介质: 中国, ZL202010704454.2[P]. 2023-02-14. (授权).
王智谨, 付永钢, 熊超, 庄良基. 一种融合气象因素和搜索指数的手足口病预测方法: 中国, ZL202010133038.1[P]. 2023-05-12. (授权).
The source codes are released at pyFAST.
The datasets are avaiable at ZENODO FAST communities.
The bib file.
ZHIJIN WANG is an associate professor at Jimei University, Xiamen China. He received his Ph.D. degree from the Department of Computer Science and Technology, East China Normal University, Shanghai, China, in 2016. He has published over 40 research papers in refereed international conferences and journals and applied for over 20 patents in China. His research interests include recommendation systems, time series forecasting, and artificial intelligence in health/healthcare.