| A new automated spectral feature extraction method and its application in spectral classification and defective spectra recovery K Wang, P Guo, AL Luo Monthly Notices of the Royal Astronomical Society 465 (4), 4311-4324, 2017 | 63 | 2017 |
| Autoencoder, low rank approximation and pseudoinverse learning algorithm K Wang, P Guo, X Xin, Z Ye 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017 | 39 | 2017 |
| An ensemble classification model with unsupervised representation learning for driving stress recognition using physiological signals K Wang, P Guo IEEE transactions on intelligent transportation systems 22 (6), 3303-3315, 2020 | 29 | 2020 |
| 大数据分析中的计算智能研究现状与展望 郭平， 王可， 罗阿理， 薛明志 软件学报 26 (11), 3010-3025, 2015 | 24 | 2015 |
| Pseudoinverse learning autoencoder with DCGAN for plant diseases classification MAB Mahmoud, P Guo, K Wang Multimedia Tools and Applications 79 (35), 26245-26263, 2020 | 21 | 2020 |
| PILAE: a non-gradient descent learning scheme for deep feedforward neural networks P Guo, K Wang, XL Zhou arXiv preprint arXiv:1811.01545, 2018 | 20 | 2018 |
| A pseudoinverse incremental algorithm for fast training deep neural networks with application to spectra pattern recognition K Wang, P Guo, Q Yin, AL Luo, X Xin 2016 International Joint Conference on Neural Networks (IJCNN), 3453-3460, 2016 | 20 | 2016 |
| A Robust Automated Machine Learning System with Pseudoinverse Learning K Wang, P Guo Cognitive Computation 13 (3), 724–735, 2021 | 19 | 2021 |
| Detection of driver stress in real-world driving environment using physiological signals K Wang, YL Murphey, Y Zhou, X Hu, X Zhang 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019 | 17 | 2019 |
| Computational Intelligence in Astronomy: A Survey K Wang, P Guo, F Yu, L Duan, Y Wang, H Du International Journal of Computational Intelligence Systems 11 (1), 575-590, 2018 | 15 | 2018 |
| Computational intelligence for big data analysis: current status and future prospect P Guo, K Wang, AL Luo, M Xue Journal of software 26 (11), 3010-3025, 2015 | 13 | 2015 |
| Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects X Jiang, F Yan, Y Lu, K Wang, S Guo, T Zhang, Y Pang, J Niu, M Xu IEEE Transactions on Instrumentation and Measurement, 2022 | 10 | 2022 |
| Deep neural networks with local connectivity and its application to astronomical spectral data K Wang, P Guo, AL Luo, X Xin, F Duan 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 8 | 2016 |
| Development of Data Mining Methodologies to Advance Knowledge of Driver Behaviors in Naturalistic Driving YL Murphey, K Wang, LJ Molnar, DW Eby, B Giordani, C Persad, S Stent SAE International Journal of Transportation Safety 8 (2), 2021 | 6 | 2021 |
| Naturalistic Driving Scenario Recognition with Multimodal Data K Wang, J Yang, Z Li, Y Liu, J Xue, H Liu 2022 23rd IEEE International Conference on Mobile Data Management (MDM), 476-481, 2022 | 4 | 2022 |
| Self-paced non-convex regularized analysis–synthesis dictionary learning for unsupervised feature selection J Miao, T Yang, C Fan, Z Chen, X Fei, X Ju, K Wang, M Xu Knowledge-Based Systems 241, 108279, 2022 | 4 | 2022 |
| An efficient and scalable learning algorithm for near-earth objects detection in astronomy big image data K Wang, P Guo 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2014 | 4 | 2014 |
| Unsupervised Pseudoinverse Hashing Learning Model for Rare Astronomical Object Retrieval K Wang, P Guo, A Luo, M Xu SCIENCE CHINA Technological Sciences 65, 1338–1348, 2022 | 3 | 2022 |
| Angular quantization based affinity propagation clustering and its application to astronomical big spectra data K Wang, P Guo, AL Luo 2015 IEEE International Conference on Big Data (Big Data), 601-608, 2015 | 3 | 2015 |
| Human-machine collaborative decision-making for carrier aircraft support operations Y Li, L Gao, H Hao, Y Jin, K Wang, M Xu SCIENTIA SINICA Informationis 53 (12), 2493-2510, 2023 | 2 | 2023 |
