| A review on multi-class TWSVM S Ding, X Zhao, J Zhang, X Zhang, Y Xue Artificial Intelligence Review 52, 775-801, 2019 | 54 | 2019 |
| A new asynchronous reinforcement learning algorithm based on improved parallel PSO S Ding, W Du, X Zhao, L Wang, W Jia Applied Intelligence 49, 4211-4222, 2019 | 38 | 2019 |
| NSCT‐PCNN image fusion based on image gradient motivation S Ding, X Zhao, H Xu, Q Zhu, Y Xue IET Computer Vision 12 (4), 377-383, 2018 | 36 | 2018 |
| Asynchronous reinforcement learning algorithms for solving discrete space path planning problems X Zhao, S Ding, Y An, W Jia Applied Intelligence 48, 4889-4904, 2018 | 32 | 2018 |
| Conditional Self-Supervised Learning for Few-Shot Classification Y An, H Xue, X Zhao, L Zhang International Joint Conference on Artificial Intelligence (IJCAI'21), 2140-2146, 2021 | 28 | 2021 |
| Research on Deep Reinforcement Learning X Zhao, S Ding Computer Science 45 (7), 1-6, 2018 | 25* | 2018 |
| Applications of asynchronous deep reinforcement learning based on dynamic updating weights X Zhao, S Ding, Y An, W Jia Applied Intelligence 49, 581-591, 2019 | 20 | 2019 |
| An effective asynchronous framework for small scale reinforcement learning problems S Ding, X Zhao, X Xu, T Sun, W Jia Applied Intelligence 49, 4303-4318, 2019 | 14 | 2019 |
| BEMD image fusion based on PCNN and compressed sensing S Ding, P Du, X Zhao, Q Zhu, Y Xue Soft Computing 23, 10045-10054, 2019 | 12 | 2019 |
| Fusion Label Enhancement for Multi-Label Learning X Zhao, Y An, N Xu, X Geng International Joint Conference on Artificial Intelligence (IJCAI'22), 3773-3779, 2022 | 9 | 2022 |
| Continuous label distribution learning X Zhao, Y An, N Xu, X Geng Pattern Recognition 133, 109056, 2023 | 7 | 2023 |
| Robust spike-and-slab deep Boltzmann machines for face denoising N Zhang, S Ding, J Zhang, X Zhao Neural Computing and Applications 32, 2815-2827, 2020 | 7 | 2020 |
| From instance to metric calibration: A unified framework for open-world few-shot learning Y An, H Xue, X Zhao, J Wang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 6 | 2023 |
| Imbalanced label distribution learning X Zhao, Y An, N Xu, J Wang, X Geng Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11336 …, 2023 | 5 | 2023 |
| Combined filtering and dbm reconstructing for fingerprint enhancement W Bian, S Ding, N Zhang, J Zhang, X Zhao Journal of Software 30 (6), 1886-1900, 2019 | 3 | 2019 |
| A new asynchronous architecture for tabular reinforcement learning algorithms X Zhao, S Ding, Y An Proceedings of ELM-2017, 172-180, 2019 | 3 | 2019 |
| Variational Continuous Label Distribution Learning for Multi-Label Text Classification X Zhao, Y An, N Xu, X Geng IEEE Transactions on Knowledge and Data Engineering, 2023 | 2 | 2023 |
| Deep belief network based on noisy data and clean data N Zhang, S Ding, J Zhang, X Zhao Journal of Software 30 (11), 3326-3339, 2019 | 2* | 2019 |
| Generalizable Label Distribution Learning X Zhao, L Qi, Y An, X Geng Proceedings of the 31st ACM International Conference on Multimedia, 8932-8941, 2023 | 1 | 2023 |
| Learning to Learn from Corrupted Data for Few-Shot Learning Y An, X Zhao, H Xue International Joint Conference on Artificial Intelligence (IJCAI'23), 3423-3431, 2023 | 1 | 2023 |
