竞彩比分直播

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讲师

办公地址：职技楼A213西

联系方式：邮箱：[email protected]

【研究方向】

工业信息化，多元时间序列分析，故障诊断与智能决策，深度学习，图神经网络，AI大模型

【教育背景】

2024年6月获北京化工大学控制科学与工程专业博士学位

【教学情况】

机器学习，人工智能综合实习

【科研成果】

[1] Li Jince, Fan Y, and Yang B*. Multivariate Trend Feature Learning: Dual-Branch Graph Neural Networks for Fault Diagnosis in Process Industry. J. IEEE Transactions on Industrial Informatics, 2025, DOI: 10.1109/TII.2025.3648912. (SCI一区)  

[2] Li Jince, Shi Y, Li H*, and Yang B. TC-GATN: Temporal Causal Graph Attention Networks with Nonlinear Paradigm for Multivariate Time Series Forecasting in Industrial Processes. J. IEEE Transactions on Industrial Informatics, 2023, 19(6): 7592-7601. (SCI一区)  

[3] Li Jince, Fan Y, Wang Z, and Wang Y*. A graph neural network with dual-stage feature aggregation for industrial soft sensors. J. IEEE Transactions on Instrumentation and Measurement, 2025, DOI: 10.1109/TIM.2025.3606039. (SCI二区)

[4]. Li Jince, Yang B, Li H*, Wang Y, Qi C, and Yi L. DTDR–ALSTM: Extracting dynamic time-delays to reconstruct multivariate data for improving attention-based LSTM industrial time series prediction models. J. Knowledge-Based Systems, 2021, 211: 106508. (SCI一区)

[5]. Chu Q, Li Jince, Li H*, et al. An attention transfer entropy based causality analysis with applications in rooting short-term disturbances for chemical processes. J. ISA Transactions, 2022, 136:284-296. (SCI二区)

[6] Wang Y, Li Jince, Yang B and Li H*. Stream-data-clustering based adaptive alarm threshold setting approaches for industrial processes with multiple operating conditions. J. ISA transactions, 2022, 129: 594-608. (SCI二区)

[7] Yin M, Li Jince, Shi Y, Qi C, and Li H*. Fusing logic rule-based hybrid variable graph neural network approaches to fault diagnosis of industrial processes. J. Expert Systems with Applications, 2024, 238: 121753. (SCI一区)

[8] Shi Y, Li Jince, Li H, and Yang B. An Imbalanced Data Augmentation and Assessment Method for Industrial Process Fault Classification with Application in Air Compressors. J. IEEE Transactions on Instrumentation and Measurement, 2023, 72:3521510. (SCI二区)

[9] Li Jince, Wang Y, Yang B, Qi C, and Li H*. Hybrid cycle reservoir with jumps for multivariate time series prediction: industrial application in oil drilling process. J. Measurement Science and Technology, 2020, 31(1): 015103. (SCI 三区)

[10] Li Jince, Wang Y, Li H* and Yang B. An Adaptive Optimization Approach Based on the Human factors and Its Application to Process Alarm Thresholds. C. Asian Control Conference 12th (ASCC), Japan, June 2019. (EI, 国际会议)