| A stochastic configuration network based on chaotic sparrow search algorithm C Zhang, S Ding Knowledge-Based Systems 220, 106924, 2021 | 323 | 2021 |
| Parallel stochastic configuration networks for large-scale data regression C Zhang, S Ding, J Zhang, W Jia Applied Soft Computing 103, 107143, 2021 | 39 | 2021 |
| SA-CapsGAN: using capsule networks with embedded self-attention for generative adversarial network G Sun, S Ding, T Sun, C Zhang Neurocomputing 423, 399-406, 2021 | 31 | 2021 |
| Broad stochastic configuration network for regression C Zhang, S Ding, W Du Knowledge-Based Systems 243, 108403, 2022 | 23 | 2022 |
| Multiagent reinforcement learning with heterogeneous graph attention network W Du, S Ding, C Zhang, Z Shi IEEE Transactions on Neural Networks and Learning Systems 34 (10), 6851-6860, 2022 | 21 | 2022 |
| A novel dense capsule network based on dense capsule layers G Sun, S Ding, T Sun, C Zhang, W Du Applied Intelligence 52 (3), 3066-3076, 2022 | 19 | 2022 |
| An optimized support vector regression for prediction of bearing degradation C Zhang, S Ding, Y Sun, Z Zhang Applied Soft Computing 113, 108008, 2021 | 18 | 2021 |
| Modified action decoder using Bayesian reasoning for multi-agent deep reinforcement learning W Du, S Ding, C Zhang, S Du International Journal of Machine Learning and Cybernetics 12, 2947-2961, 2021 | 14 | 2021 |
| Greedy stochastic configuration networks for ill-posed problems T Zhou, Y Wang, G Yang, C Zhang, J Wang Knowledge-Based Systems 269, 110464, 2023 | 12 | 2023 |
| Broad learning system based ensemble deep model C Zhang, S Ding, L Guo, J Zhang Soft Computing 26 (15), 7029-7041, 2022 | 9 | 2022 |
| Value function factorization with dynamic weighting for deep multi-agent reinforcement learning W Du, S Ding, L Guo, J Zhang, C Zhang, L Ding Information Sciences 615, 191-208, 2022 | 8 | 2022 |
| Incremental multilayer broad learning system with stochastic configuration algorithm for regression S Ding, C Zhang, J Zhang, L Guo, L Ding IEEE Transactions on Cognitive and Developmental Systems 15 (2), 877-886, 2023 | 7 | 2023 |
| Hypergraph based semi-supervised support vector machine for binary and multi-category classifications Y Sun, S Ding, ZC Zhang, C Zhang International Journal of Machine Learning and Cybernetics, 1-18, 2022 | 7 | 2022 |
| A regularized stochastic configuration network based on weighted mean of vectors for regression Y Wang, T Zhou, G Yang, C Zhang, S Li PeerJ Computer Science 9, e1382, 2023 | 6 | 2023 |
| Intuitionistic fuzzy stochastic configuration networks for solving binary classification problems L Guo, J Zhu, C Zhang, S Ding IEEE Transactions on Fuzzy Systems, 2024 | 3 | 2024 |
| 随机配置网络研究进展 张成龙， 丁世飞， 郭丽丽， 张健 软件学报 35 (5), 2379-2399, 2024 | 2 | 2024 |
| An AdaBoost based-deep stochastic configuration network C Zhang, S Ding, L Ding International Conference on Intelligent Information Processing, 3-14, 2022 | 2 | 2022 |
| Greedy deep stochastic configuration networks ensemble with boosting negative correlation learning C Zhang, Y Wang, D Zhang Information Sciences 680, 121140, 2024 | 1 | 2024 |
| Decay regularized stochastic configuration networks with multi-level data processing for UAV battery RUL prediction Z Liao, S Li, P Zhou, C Zhang Information Sciences 701, 121840, 2025 | | 2025 |
| Bi-directional gated recurrent unit enhanced twin support vector regression with seasonal mechanism for electric load forecasting Z Zhang, C Zhang, Y Dong, WC Hong Knowledge-Based Systems, 112943, 2025 | | 2025 |
Shifei DingChina University of Mining and TechnologyVerifierad e-postadress på cumt.edu.cn
