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2020 – today
- 2024
[j4]Min Yin
, Jince Li, Yilin Shi, Chu Qi, Hongguang Li:
Fusing logic rule-based hybrid variable graph neural network approaches to fault diagnosis of industrial processes. Expert Syst. Appl. 238(Part D): 121753 (2024)- 2023
- [j3]Jince Li, Yilin Shi, Hongguang Li, Bo Yang:
TC-GATN: Temporal Causal Graph Attention Networks With Nonlinear Paradigm for Multivariate Time-Series Forecasting in Industrial Processes. IEEE Trans. Ind. Informatics 19(6): 7592-7601 (2023) - [j2]Yilin Shi, Jince Li, Hongguang Li, Bo Yang:
An Imbalanced Data Augmentation and Assessment Method for Industrial Process Fault Classification With Application in Air Compressors. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - 2022
- [j1]Hongguang Li, Wenjing Zhao, Yilin Shi, Jince Li:
MP-CRJ: Multi-parallel cycle reservoirs with jumps for industrial multivariate time series predictions. Trans. Inst. Meas. Control 44(11): 2093-2105 (2022)
2010 – 2019
- 2019
- [c3]Ying Fan, Yilin Shi, Kai Kang, Qingbin Xing:
An Inflection Point Based Clustering Method for Sequence Data. WISA 2019: 201-212 - 2018
- [c2]Yilin Shi, Huabo Surr, Zilong Jiang, Binbin Lu:
Assessment and Spatially Varying Causes Exploration of Ecosystem Health: A Case Study of Wuhan, China. Geoinformatics 2018: 1-5 - 2017
- [c1]Peng Zhang, Wei Liu, Desen Yin, Yilin Shi, Xiao Xu:
Analysis of fingerprint quality for season factor. ICCIP 2017: 479-483
Coauthor Index
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