| A PSO based virtual sample generation method for small sample sets: Applications to regression datasets ZS Chen, B Zhu, YL He, LA Yu Engineering Applications of Artificial Intelligence 59, 236-243, 2017 | 134 | 2017 |
| A Monte Carlo and PSO based virtual sample generation method for enhancing the energy prediction and energy optimization on small data problem: An empirical study of … HF Gong, ZS Chen, QX Zhu, YL He Applied Energy 197, 405-415, 2017 | 102 | 2017 |
| A novel hybrid method integrating ICA-PCA with relevant vector machine for multivariate process monitoring Y Xu, SQ Shen, YL He, QX Zhu IEEE Transactions on Control Systems Technology 27 (4), 1780-1787, 2018 | 86 | 2018 |
| Data driven soft sensor development for complex chemical processes using extreme learning machine YL He, ZQ Geng, QX Zhu Chemical Engineering Research and Design 102, 1-11, 2015 | 84 | 2015 |
| Novel soft sensor development using echo state network integrated with singular value decomposition: Application to complex chemical processes YL He, Y Tian, Y Xu, QX Zhu Chemometrics and Intelligent Laboratory Systems 200, 103981, 2020 | 70 | 2020 |
| Novel manifold learning based virtual sample generation for optimizing soft sensor with small data XH Zhang, Y Xu, YL He, QX Zhu ISA transactions 109, 229-241, 2021 | 65 | 2021 |
| A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry YL He, PJ Wang, MQ Zhang, QX Zhu, Y Xu Energy 147, 418-427, 2018 | 61 | 2018 |
| Text Classification Using Novel Term Weighting Scheme‐Based Improved TF‐IDF for Internet Media Reports Z Jiang, B Gao, Y He, Y Han, P Doyle, Q Zhu Mathematical Problems in Engineering 2021 (1), 6619088, 2021 | 59 | 2021 |
| Fault diagnosis using novel AdaBoost based discriminant locality preserving projection with resamples YL He, Y Zhao, X Hu, XN Yan, QX Zhu, Y Xu Engineering Applications of Artificial Intelligence 91, 103631, 2020 | 58 | 2020 |
| Novel virtual sample generation using conditional GAN for developing soft sensor with small data QX Zhu, KR Hou, ZS Chen, ZS Gao, Y Xu, YL He Engineering Applications of Artificial Intelligence 106, 104497, 2021 | 50 | 2021 |
| Novel double-layer bidirectional LSTM network with improved attention mechanism for predicting energy consumption YL He, L Chen, Y Gao, JH Ma, Y Xu, QX Zhu ISA transactions 127, 350-360, 2022 | 47 | 2022 |
| Enhanced virtual sample generation based on manifold features: Applications to developing soft sensor using small data YL He, Q Hua, QX Zhu, S Lu ISA transactions 126, 398-406, 2022 | 46 | 2022 |
| A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise YL He, ZQ Geng, Y Xu, QX Zhu Neurocomputing 128, 407-414, 2014 | 45 | 2014 |
| An imbalanced multifault diagnosis method based on bias weights AdaBoost X Jiang, Y Xu, W Ke, Y Zhang, QX Zhu, YL He IEEE Transactions on Instrumentation and Measurement 71, 1-8, 2022 | 40 | 2022 |
| Soft sensor development for the key variables of complex chemical processes using a novel robust bagging nonlinear model integrating improved extreme learning machine with … YL He, ZQ Geng, QX Zhu Chemometrics and Intelligent Laboratory Systems 151, 78-88, 2016 | 38 | 2016 |
| A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application B Zhu, ZS Chen, YL He, LA Yu Chemometrics and Intelligent Laboratory Systems 161, 108-117, 2017 | 37 | 2017 |
| A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing YL He, XY Li, JH Ma, S Lu, QX Zhu Journal of Process Control 113, 18-28, 2022 | 36 | 2022 |
| A novel scoring function based on family transfer entropy for Bayesian networks learning and its application to industrial alarm systems QQ Meng, QX Zhu, HH Gao, YL He, Y Xu Journal of Process Control 76, 122-132, 2019 | 35 | 2019 |
| Novel multiblock transfer entropy based Bayesian network and its application to root cause analysis QX Zhu, Y Luo, YL He Industrial & Engineering Chemistry Research 58 (12), 4936-4945, 2019 | 35 | 2019 |
| Improved locality preserving projections based on heat-kernel and cosine weights for fault classification in complex industrial processes N Zhang, Y Xu, QX Zhu, YL He IEEE Transactions on Reliability 72 (1), 204-213, 2022 | 33 | 2022 |