贺彦林(Yan-Lin He)：教授 博士生导师 自动化系系主任。
2016年6月获工学博士(控制科学与工程)，毕业后留校工作，2019年5月入选北京化工大学“青年英才百人计划”；现任北京自动化学会理事、中国自动化学会应用专委会委员，中国自动化学会数据驱动控制、学习与优化专业委员
会委员，中国人工智能学会因果与不确定性人工智能专委会委员，中国自动化学会青年工作委员会委员，中国化工学会信息技术应用专业委员会青年委员等。
近几年，以第一作者或通讯作者在IEEE系列高水平期刊TNNLS、TSMC-S、TII、TASE、TCST，中国自动化学会推荐A/B类期刊，IFAC会刊JPC、EAAI以及化工类国际高水平期刊CES、IECR等发表SCI论文近100篇，受到了国内外知名专家学者的广泛引用和积极评价；授权发明专利20余项；主持国家自然科学基金面上项目和青年项目、军工课题及企业横向课题，作为骨干参与多项国家重点研发计划及其他纵向、横向重大课题。
研究方向：计算智能、系统建模与优化、软测量、故障诊断、机器学习等。
主要奖励Main achieveme
nts
(1)中国自动化学会自然科学奖二等奖
(2)全球前2%顶尖科学家榜单
(3)中国知网高被引学者TOP5%
(4)北京市科协青年人才托举计划
(5)北京自动化学会“青年科技创新人才”
(6)F5000中国精品科技期刊顶尖学术论文
(7)中文期刊高PCSI论文、高被引论文和高下载论文
(8)优秀硕士学位论文指导教师
(9)研究生国家奖学金指导教师
(10)本科教育教学评估先进个人
主要科研项目 Research Projects
项目名称 | 项目来源 |
复杂化工过程故障诊断及其根源分析关键技术研究 | 国家自然科学基金面上项目 |
基于VSG及ELM的复杂石化过程智能建模方法研究 | 国家自然科学基金青年项目 |
工控系统安全主动防御机制及体系研究 | 国家重点研发计划项目 |
复杂石化过程智能化建模与诊断 | 基地创新项目 |
面向故障诊断的动态时间维度信息挖掘理论研究 | 自由探索项目 |
I-CWP M线效率模块开发 | 企业横向项目 |
10篇代表性论文Research Paper
[1] Y. -L. He, Y. -B. Zhao, Y. Xu, Q. -X. Zhu and P. -F. Wang, "Novel Meta Mode-Adaptive Multihead Attention for Multimode Industrial Process Soft Sensing," in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2026.3670848.
[2] Y. -L. He, Z. -Y. Lu, Y. Xu, Q. -X. Zhu and X. Pan, "A Knowledge-Data Integrated Graph Convolutional Network for Fault Diagnosis in Industrial Processes," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, doi: 10.1109/TSMC.2026.3655034.
[3] Y. -L. He, J. -T. Liang, Y. Tian and Q. -X. Zhu, "Novel Schur Decomposition Orthogonal Exponential DLPP With Mixture Distance for Fault Diagnosis," in IEEE Transactions on Industrial Informatics, vol. 20, no. 4, pp. 5601-5608, April 2024, doi: 10.1109/TII.2023.3336766.
[4] Y. -L. He, P. -F. Wang and Q. -X. Zhu, "Improved Bi-LSTM With Distributed Nonlinear Extensions and Parallel Inputs for Soft Sensing," in IEEE Transactions on Industrial Informatics, vol. 20, no. 3, pp. 3748-3755, March 2024, doi: 10.1109/TII.2023.3313631.
[5] Y. -L. He, S. -H. Lv, Q. -X. Zhu and S. Lu, "Novel Multiattribute Space-Based LSTM for Industrial Soft Sensor Applications," in IEEE Transactions on Industrial Informatics, vol. 20, no. 3, pp. 4745-4752, March 2024, doi: 10.1109/TII.2023.3316289.
[6] P. -F. Wang, Q. -X. Zhu and Y. -L. He*, "Novel Multiscale Trend Decomposition LSTM Based on Feature Selection for Industrial Soft Sensing," in IEEE Transactions on Industrial Informatics, vol. 20, no. 12, pp. 14249-14256, Dec. 2024, doi: 10.1109/TII.2024.3444896.
[7] Y. -L. He, X. -Y. Li, Y. Xu, Q. -X. Zhu and S. Lu, "Novel Distributed GRUs Based on Hybrid Self-Attention Mechanism for Dynamic Soft Sensing," in IEEE Transactions on Automation Science and Engineering, vol. 21, no. 4, pp. 5161-5172, Oct. 2024, doi: 10.1109/TASE.2023.3309339.
[8] Y. -L. He, L. Chen, Y. Xu, Q. -X. Zhu and S. Lu, "A New Distributed Echo State Network Integrated With an Auto-Encoder for Dynamic Soft Sensing," in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-8, 2023, Art no. 2500308, doi: 10.1109/TIM.2022.3228278.
[9] Y. -L. He, K. Li, L. -L. Liang, Y. Xu and Q. -X. Zhu, "Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis," in IEEE Transactions on Reliability, vol. 72, no. 1, pp. 166-176, March 2023, doi: 10.1109/TR.2021.3115108.
[10] Y. -L. He, K. Li, N. Zhang, Y. Xu and Q. -X. Zhu, "Fault Diagnosis Using Improved Discrimination Locality Preserving Projections Integrated With Sparse Autoencoder," in IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-8, 2021, Art no. 3527108, doi: 10.1109/TIM.2021.3125975.
研究成果Research Achievements
基于计算智能的工业软测量应用
工业过程数据特征可视化
复杂流程工业过程故障特征分析和诊断