| Data-intensive applications, challenges, techniques and technologies: A survey on Big Data CLP Chen, CY Zhang Information sciences 275, 314-347, 2014 | 3884 | 2014 |
| Data-intensive applications, challenges, techniques and technologies: A survey on Big Data CL Philip Chen, CY Zhang | 793 | 2014 |
| Predictive deep Boltzmann machine for multiperiod wind speed forecasting CY Zhang, CLP Chen, M Gan, L Chen IEEE Transactions on Sustainable Energy 6 (4), 1416-1425, 2015 | 238 | 2015 |
| Fuzzy restricted Boltzmann machine for the enhancement of deep learning CLP Chen, CY Zhang, L Chen, M Gan IEEE Transactions on Fuzzy Systems 23 (6), 2163-2173, 2015 | 238 | 2015 |
| Data-intensive applications challenges techniques and technologies: A survey on Big Data [J] CLP Chen, CY Zhang Information sciences 275 (11), 314-347, 2014 | 77 | 2014 |
| A fuzzy deep model based on fuzzy restricted Boltzmann machines for high-dimensional data classification S Feng, CLP Chen, CY Zhang IEEE Transactions on Fuzzy Systems 28 (7), 1344-1355, 2019 | 57 | 2019 |
| Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series M Gan, CL Philip Chen, L Chen, CY Zhang International Journal of Systems Science 47 (8), 1868-1876, 2016 | 47 | 2016 |
| MapReduce based distributed learning algorithm for restricted Boltzmann machine CY Zhang, CLP Chen, D Chen, KT Ng Neurocomputing 198, 4-11, 2016 | 32 | 2016 |
| Data-driven train operation models based on data mining and driving experience for the diesel-electric locomotive CY Zhang, D Chen, J Yin, L Chen Advanced Engineering Informatics 30 (3), 553-563, 2016 | 31 | 2016 |
| Graph deconvolutional networks CY Zhang, J Hu, L Yang, CLP Chen, Z Yao Information Sciences 518, 330-340, 2020 | 23 | 2020 |
| Dynamic representation learning via recurrent graph neural networks CY Zhang, ZL Yao, HY Yao, F Huang, CLP Chen IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (2), 1284-1297, 2022 | 21 | 2022 |
| 3-D deconvolutional networks for the unsupervised representation learning of human motions CY Zhang, YY Xiao, JC Lin, CLP Chen, W Liu, YH Tong IEEE transactions on cybernetics 52 (1), 398-410, 2020 | 21 | 2020 |
| Fuzzy representation learning on graph CY Zhang, YN Lin, CLP Chen, HY Yao, HC Cai, WP Fang IEEE Transactions on Fuzzy Systems 31 (10), 3358-3370, 2023 | 20 | 2023 |
| Deep compression of probabilistic graphical networks CY Zhang, Q Zhao, CLP Chen, W Liu Pattern Recognition 96, 106979, 2019 | 12 | 2019 |
| A flexible and robust train operation model based on expert knowledge and online adjustment CY Zhang, D Chen, J Yin, L Chen International Journal of Wavelets, Multiresolution and Information …, 2017 | 8 | 2017 |
| Graph representation learning with adaptive metric CY Zhang, HC Cai, CLP Chen, YN Lin, WP Fang IEEE Transactions on Network Science and Engineering 10 (4), 2074-2085, 2023 | 7 | 2023 |
| Sparse graph transformer with contrastive learning CY Zhang, WP Fang, HC Cai, CLP Chen, YN Lin IEEE Transactions on Computational Social Systems 11 (1), 892-904, 2022 | 7 | 2022 |
| Fuzzy representation learning on dynamic graphs HY Yao, YL Yu, CY Zhang, YN Lin, SJ Li IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023 | 6 | 2023 |
| Extraversion measure for crowd trajectories W Liu, CY Zhang, G Liu, Y Su, NN Xiong IEEE Transactions on Industrial Informatics 15 (12), 6334-6343, 2019 | 6 | 2019 |
| A probabilistic contrastive framework for semi-supervised learning H Lin, CY Zhang, S Wang, W Guo IEEE Transactions on Multimedia 25, 8767-8779, 2023 | 5 | 2023 |
