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ZHIJIN WANG is an associate professor at Jimei University, Xiamen China. His research interests include recommendation systems, time series forecasting, and artificial intelligence in health/healthcare.

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# Dr. Zhijin Wang

College of Computer Engineering, Jimei University, Yinjiang Road 185, Xiamen, China

Email: zhijin@jmu.edu.cn, zhijinecnu@gmail.com

URL:
[Google Scholar](https://scholar.google.com/citations?user=rKUpBpMAAAAJ&hl=en) / 
[ORCID](https://orcid.org/0000-0002-7962-2827) / 
[JMU](https://cec.jmu.edu.cn/info/1008/5733.htm) / 
[LinkedIn](https://www.linkedin.com/in/zhijinwang/)

## Areas of specialization

- AI in health/healthcare
- Recommendation systems
- Time series forecasting

## Appointments held

2016.07 - Now, College of Computer Engineering, Jimei University

## Software

I'm the project founder and lead programmer of the popular open-source **sparse** time series analysis library [pyFAST](http://github.com/freepose/pyFAST).
Contributions to pyFAST are welcome! Please submit [issues](https://github.com/freepose/pyFAST/issues) or pull requests on GitHub.

[![Software Overview Figure](https://raw.githubusercontent.com/freepose/freepose.github.io/main/asset/overview.html.svg)](asset/overview.html.svg)

## Pulications & Talks

### Journal articles

- 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](paper/journal/neunet2025-Wu%20(TSPT).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](paper/journal/energy2025-Wu%20(Cabin).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](paper/journal/tsg2025%20(Causality-Aware%20Multi-Graph%20Convolutional%20Networks).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](paper/journal/jclepro2024-Wang%20(CoDR).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](paper/journal/apen2024-Huang%20%28SDGNN%29.pdf)

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- Zhao Y, Huang Y, Wang Z, Liu X. Carbon futures price forecasting based on feature selection[J]. Engineering Applications of Artificial Intelligence, 2024, 135: 108646. [PDF](paper/journal/eaai2024-Zhao%20%28Carbon%20futures%20price%29.pdf)

- Zhao Y, Huang Y, Wang Z, Liu X. A new feature selection method based on importance measures for crude oil return forecasting[J]. Neurocomputing, 2024, 581: 127470.  [PDF](paper/journal/neucom2024-Zhao%20%28crude%20oil%20return%20forecasting%29.pdf)

- Hu Y, Liu H, Wu S, Zhao Y, Wang Z, Liu X. Temporal collaborative attention for wind power forecasting[J]. Applied Energy, 2024, 357: 122502. [PDF](paper/journal/apen2024-Hu%20%28TCOAT%29.pdf)

- Su J, Yu X, Wang X, Wang Z, Chao G. Enhanced transfer learning with data augmentation[J]. Engineering Applications of Artificial Intelligence, 2024, 129: 107602. [PDF](paper/coauthor/eaai2024-Su%20%28Enhanced%20transfer%20learning%20with%20data%20augmentation%29.pdf)

- Wang Z, Fournier-Viger P, Wang Y P, Fu Y. Editorial: Crosstalk between computational medicine and neuroscience in healthcare[J]. Frontiers in Neuroscience, 2023, 17. [PDF](paper/journal/fnins2023-Wang%20%28Editorial%29.pdf)

- Wang Z, Zhang P, Huang Y, Chao G, Xie X, Fu Y. Oriented Transformer for Infectious Disease Case Prediction[J]. Applied Intelligence, 2023, 53: 30097-30112. [PDF](paper/journal/apin2023-Wang%20%28ORIT%29.pdf)

- Huang Y, Zhao Y, Wang Z, Liu X, Liu H, Fu Y. Explainable district heat load forecasting with active deep learning[J]. Applied Energy, 2023, 350: 121753. [PDF](paper/journal/apen2023-Huang%20%28Ac-GRN%29.pdf)

- Wang Z, Liu X, Huang Y, Zhang P, Fu Y. A multivariate time series graph neural network for district heat load forecasting[J]. Energy, 2023, 278: 127911. [PDF](paper/journal/energy2023-Wang%20%28GAIN%29.pdf)

- Huang X, Wang Z, Li C, Zhang M. A low-complexity evolutionary algorithm for wind farm layout optimization[J]. Energy Reports, 2023, 9: 5752-5761.

- Xie X, Sun F, Qian J, Guo L, Zhang R, Ye X, Wang Z. Laplacian Lp norm least squares twin support vector machine[J]. Pattern Recognition, 2023, 136: 109192. [PDF](paper/coauthor/pr2022%20%28Laplacian%20Lp%20norm%20least%20squares%20twin%20support%20vector%20machine%29.pdf)

- Huang Y, Zhang P, Wang Z, Lu Z, Wang Z. HFMD Cases Prediction using Transfer One-step-ahead Learning[J]. Neural Processing Letters, 2023, 55(3): 2321-2339. [PDF](paper/journal/nepl2022-Huang.pdf)

- Zhang P, Wang Z, Huang Y, Wang M. Dual-grained directional representation for infectious disease case prediction[J]. Knowledge-Based Systems, 2022, 256: 109806. [PDF](paper/journal/kbs2022-Zhang.pdf)

- Wang Z, Wang Z, Lu L, Huang Y, Fu Y. A Multi-view Multi-omics Model for Cancer Drug Response Prediction[J]. Applied Intelligence, 2022, 52: 14639-14650. [PDF](paper/journal/apin2022-Wang%20%28MvMo%29.pdf)

- Wang Z, Su Q, Chao G, Cai B, Huang Y, Fu Y. A multi-view time series model for share turnover prediction[J]. Applied Intelligence, 2022, 52: 14595-14606. [PDF](paper/journal/apin2022-Wang%20%28MvT%29.pdf)

- Wang Z, Cai B. COVID-19 cases prediction in multiple areas via shapelet learning[J]. Applied Intelligence, 2022, 52(1): 595-606. [PDF](paper/journal/apin2021-Wang%20%28MSL%29.pdf)

- Chen R, Wang Z, Su H, Xie S, Wang Z. Parallel XPath query based on cost optimization[J]. The Journal of Supercomputing, 2022, 78(4): 5420-5449. [PDF](paper/coauthor/tjsc2022-Chen%20(Parallel%20XPath%20query%20based%20on%20cost%20optimization).pdf)

- Lyu Z, Wang Z, Luo F, Shuai J, Huang Y. Protein Secondary Structure Prediction With a Reductive Deep Learning Method[J]. Frontiers in Bioengineering and Biotechnology, 2021, 9: 404. [PDF](paper/journal/fbioe2021-Lyu.pdf)

- Wang Z, Huang Y, He B. Dual-grained representation for hand, foot, and mouth disease prediction within public health cyber-physical systems[J]. Software: Practice and Experience, 2021, 51(11): 2290-2305. [PDF](paper/journal/spe2020-Wang.pdf)

- Wang Z, Wang Z, Lin Y, Liu J, Fu Y, Zhang P, Cai B. Prediction of HFMD Cases by Leveraging Time Series Decomposition and Local Fusion[J]. Wireless Communications and Mobile Computing, 2021, 2021: 5514743. [PDF](paper/journal/wcmc2021-Wang.pdf)

- Wang Z, Huang Y, Cai B, Ma R, Wang Z. Stock Turnover Prediction using Search Engine Data[J]. Journal of Circuits, Systems and Computers, 2021, 30(07): 2150122. [PDF](paper/journal/jcsc2020-Wang.pdf)

- Wang Z, Huang Y, He B, Luo T, Wang Y, Fu Y. Short-Term Infectious Diarrhea Prediction Using Weather and Search Data in Xiamen, China[J]. Scientific Programming, 2020, 2020: 8814222 [PDF](paper/journal/sp2020-Wang.pdf)

- He B, Sun T, Wang Z, Su K. A Fine-Grained Analysis of Time Reversal MU-MISO Systems Over Correlated Multipath Channels With Imperfect CSI[J]. IEEE Access, 2018, 6: 69516-69527. [PDF](paper/coauthor/access2018-He%20%28A%20Fine-Grained%20Analysis%20of%20Time%20Reversal%20MU-MISO%20Systems%20Over%20Correlated%20Multipath%20Channels%20With%20Imperfect%20CSI%29.pdf)

- Wang Z, Chen K, He L. AsySIM: Modeling Asymmetric Social Influence for Rating Prediction[J]. Data Science and Pattern Recognition, 2018, 2(1): 25-40.

- Wang Z, He L. User identification for enhancing IP-TV recommendation[J]. KnowledgeBased Systems, 2016, 98: 68-75. [PDF](paper/journal/kbs2016-Wang.pdf)

- Wang Y, Li J, Gu J, Zhou Z, Wang Z. Artificial neural networks for infectious diarrhea prediction using meteorological factors in Shanghai (China)[J]. Applied Soft Computing, 2015, 35: 280-290. [PDF](paper/coauthor/asoc2015-Wang%20(Diarrhea%20prediction).pdf)

- Wang Y, Gu J, Zhou Z, Wang Z. Diarrhoea outpatient visits prediction based on time series decomposition and multi-local predictor fusion[J]. Knowledge-Based Systems, 2015, 88: 12-23. [PDF](paper/coauthor/kbs2015-Wang%20(Diarrhoea%20outpatient%20visits%20prediction).pdf)

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### Conference articles

- 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](paper/conference/PAKDD2025%20PM4B%20Chen%20(DRED%20for%20PBGF).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](paper/conference/EITCE2024-Hu%20(CTRL%20Collaborative%20Temporal%20Representation%20Learning%20for%20Wind%20Power%20Forecasting).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](paper/conference/UIC2022-Wang-p194%20(Learning%20High-dimensional%20Associations%20for%20NAFLD%20Prediction).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](paper/conference/IEAAIE2022-Zhang%20(OAM).pdf) (Best paper award)

<!--
- Wang Z, Huang Y, He B, Luo T, Wang Y, Lin Y. TDDF: HFMD Outpatients Prediction Based on Time Series Decomposition and Heterogenous Data Fusion in Xiamen, China[C]. in: Proceedings of the 15th International Conference Advanced Data Mining and Applications. Dalian, China: Springer, 2019: 658-667. [PDF](paper/conference/ADMA2019-p658-Wang.pdf)

- Wang Z, Yang Y, Hu Q, He L. An Empirical Study of Personal Factors and Social Effects on Rating Prediction[C]. in: Proceedings of the 19th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining. Ho Chi Minh City, Vietnam: Springer, 2015: 747-758.

- Yang Y, Hu Q, He L, Ni M, Wang Z. Adaptive Temporal Model for IPTV Recommendation[C]. in: Proceedings of the 16th International Conference on Web-Age Information Management. Qingdao, China: Springer, 2015: 260-271.

- Wang Z, Yang Y, He L, Gu J. User Identification within a Shared Account: Improving IP-TV Recommender Performance[C]. in: Proceedings of the 18th East European Conference on Advances in Databases and Information Systems. Ohrid, Macedonia: Springer International Publishing, 2015: 219-233. 
-->

### Books

- 刘秀峰, 王智谨. (2024). AI 全景探索：人工智能的未来之旅. 开源出版. [中文](book/AI全景探索-人工智能的未来之旅.pdf) \| [English](book/AI%20Panorama-A%20Journey%20into%20the%20Future%20of%20Artificial%20Intelligence.pdf)

### Patents

- 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).

<!-- 
- 熊超, 庄良基, 张迎金, 林溪, 付永钢, 王智谨. 关键词挖掘方法、装置、电子设备及存储介质: 中国, ZL202010007306.5[P]. 2023-06-30. (授权).

- 陈荣鑫, 王宗跃, 谢书童, 王智谨, 陈杰. 一种 XML 文档的流水线 XPath 查询方法、终端设备及存储介质: 中国, ZL202011420888.6[P]. 2022-05-03. (授权).

- 陈荣鑫, 王智谨. 一种 XML 文档的并行 XPath 查询方法、终端设备及存储介质: 中国, ZL202011045242.4[P]. 2022-04-12. (授权).

- 胡琴敏, 林欣, 王智谨, 陈晨. 多媒体数据推送方法及装置: 中国, ZL201510060615.8[P]. 2019-10-01. (授权).

- 杨燕, 王智谨, 郝娟, 黄保荃, 陈昊, 裴逸钧. 一种基于多用户上下文识别的 IPTV节目推荐方法: 中国, ZL201310224437.9[P]. 2016-04-06. (授权).
-->

### Resources & Citations

- The source codes are released at [pyFAST](http://github.com/freepose/pyFAST).

- The datasets are avaiable at ZENODO [FAST](http://zenodo.org/communities/fast/) communities.

- The [bib](paper/zhijinwang.bib) file.

## Bio

**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.

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