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Jince Li
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2020 – today
- 2024
- [j5]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
- [j4]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) - [j3]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
- [j2]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) - 2021
- [j1]Jince Li, Bo Yang, Hongguang Li, Yongjian Wang, Chu Qi, Yi Liu:
DTDR-ALSTM: Extracting dynamic time-delays to reconstruct multivariate data for improving attention-based LSTM industrial time series prediction models. Knowl. Based Syst. 211: 106508 (2021)
2010 – 2019
- 2019
- [c1]Jince Li, Yongjian Wang, Hongguang Li, Bo Yang:
An Adaptive Optimization Approach Based on the Human factors and Its Application to Process Alarm Thresholds. ASCC 2019: 823-828
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