Dr. Yanlin He
Professor, PhD Supervisor,
Chair of the Department of Automation
Email: heyl@mail.buct.edu.cn
Background
Professor He majored in Control Science and Engineering and received doctor's degree in June 2016. Later in May 2019, he was chosen into the "Hundred Young Talents Project" of Beijing University of Chemical Technology.
Areas of Research of Expertise
Computational intelligence,
System Modeling and Optimization,
Soft-sensing technology,
Fault diagnosis technology,
Machine learning.
Memberships
Director of Beijing Automation Society,
Member of the Applied Committee of the Chinese Association of Automation,
Member of the Data-Driven Control, Learning and Optimization Professional Committee of the Chinese Association of Automation,
Member of the Artificial Intelligence Committee of the Chinese Association for Artificial Intelligence,
Member of Youth Work Committee of Chinese Association of Automation,
Youth Member of the Information Technology Application Professional Committee of the Chemical Industry and Engineering Society of China.
Teaching
Undergraduate Teaching
Artificial Intelligence Principles and Applications
Introduction of Automation
Pattern Recognition and Machine Learning
Postgraduate Teaching
Intelligent manufacture system
International Students Teaching
Neural Network Technology
Research
Funded Research Projects
The National Natural Science Foundation of China:
Research on Fault Diagnosis and Root Analysis for Complex Chemical Processes
Youth Program of National Natural Science Foundation of China:
Intelligent Modeling Method Based on VSG and ELM for Complex Petrochemical Processes
National Key R&D Program of China:
Research onActive Safety Defense System of Industrial Control System
Others:
Research on Intelligent Modeling and Diagnosis of Complex Petrochemical Processes
Research on Fault Diagnosis about Dynamic Time Dimension Information Mining Theory
Main Achievements & Awards
He has authored/co-authored over 70 SCI papers in IEEE Transactions such as “IEEE Trans. on Ind. Inform.”, “ IEEE T. Contr. Syst. T.”, “IEEE T. Instrum. Meas.”, “IEEE T. Reliab.”, CAA A/B, IFAC journals ,, etc.
He was granted 7 patents and applied for more than 15 patents.
He has won the 2020-2022 Young Talents Promotion Plan and the 2018 "Young Technological Innovation Talents" Award of Beijing Association of Automation.
Publications
Zhang Ning; Xu Yuan; Zhu Qun-Xiong; He Yan-Lin*; Farthest-Nearest Distance Neighborhood and Locality Projections Integrated with Bootstrap for Industrial Process Fault Diagnosis, IEEE Transactions on Industrial Informatics, 2022, doi: 10.1109/TII.2022.3182774.
Jiang Xue; Xu Yuan; Ke Wei; Zhang Yang;, Zhu Qun-Xiong; He Yan-Lin*; An Imbalanced Multifault Diagnosis Method Based on Bias Weights AdaBoost, IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-8, 2022, Art no. 3505908, doi: 10.1109/TIM.2022.3149097.
He Yan-Lin*; Xing-Yuan Li; Jia-Hui Ma; Shan Lu; Qun-Xiong Zhu; A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing, Journal of Process Control, 113, 2022, 18-28.
Zhang Ning; Xu Yuan; Zhu Qun-Xiong; He Yan-Lin*; Improved Locality Preserving Projections Based on Heat-Kernel and Cosine Weights for Fault Classification in Complex Industrial Processes, IEEE Transactions on Reliability, 2022, doi: 10.1109/TR.2021.3139539.
Tian Ye; Xu Yuan; Zhu Qun-Xiong; He Yan-Lin*; Novel Virtual Sample Generation Using Target-Relevant Autoencoder for Small Data-Based Soft Sensor, IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-10, 2021, Art no. 2515910, doi: 10.1109/TIM.2021.3120135.
He Yan-Lin*; Lei Chen; Yanlu Gao; Jia-Hui Ma; Yuan Xu; Qun-Xiong Zhu; Novel double-layer bidirectional LSTM network with improved attention mechanism for predicting energy consumption, ISA Transactions, 2021, doi:10.1016/j.isatra.2021.08.030.
He Yan-Lin*; Li Kun; Liang Lilong; Xu Yuan; Zhu Qun-Xiong; Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis, IEEE Transactions on Reliability, 2021, doi: 10.1109/TR.2021.3115108.
He Yan-Lin*; Li Kun; Zhang Ning; Xu Yuan; Zhu Qun-Xiong; Fault Diagnosis Using Improved Discrimination Locality Preserving Projections Integrated With Sparse Autoencoder, IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-8, 2021.
He Yan-Lin*; Zhao Yang; Hu Xiao; Yan Xiaona; Zhu Qun-Xiong; Xu Yuan; Fault diagnosis using novel AdaBoost based discriminant locality preserving projection with resamples, Engineering Applications of Artificial Intelligence, 2020, 91,103631.
Xu Yuan; Shen Sheng-Qi; He Yan-Lin*; Zhu Qun-Xiong; A Novel Hybrid Method Integrating ICA-PCA With Relevant Vector Machine for Multivariate Process Monitoring, IEEE Transactions on Control Systems Technology, 2019, 27 (4): 1780-1787.