| Review of bankruptcy prediction using machine learning and deep learning techniques Y Qu, P Quan, M Lei, Y Shi Procedia Computer Science 162, 895-899, 2019 | 140 | 2019 |
| Robust obstacle detection and recognition for driver assistance systems J Leng, Y Liu, D Du, T Zhang, P Quan IEEE transactions on intelligent transportation systems 21 (4), 1560-1571, 2019 | 55 | 2019 |
| SKNet: Detecting rotated ships as keypoints in optical remote sensing images Z Cui, J Leng, Y Liu, T Zhang, P Quan, W Zhao IEEE Transactions on Geoscience and Remote Sensing 59 (10), 8826-8840, 2021 | 49 | 2021 |
| Distant supervision relation extraction via adaptive dependency-path and additional knowledge graph supervision Y Shi, Y Xiao, P Quan, M Lei, L Niu Neural Networks 134, 42-53, 2021 | 34 | 2021 |
| Alzheimer's disease diagnosis using enhanced inception network based on brain magnetic resonance image Z Cui, Z Gao, J Leng, T Zhang, P Quan, W Zhao 2019 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2019 | 33 | 2019 |
| Context-Aware U-Net for Biomedical Image Segmentation J Leng, Y Liu, T Zhang, P Quan, Z Cui 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 22 | 2018 |
| Automatic Chinese Multiple-Choice Question Generation for Human Resource Performance Appraisal P Quan, Y Shi, L Niu, Y Liu, T Zhang Procedia Computer Science 139, 165-172, 2018 | 22 | 2018 |
| Concept-cognitive computing system for dynamic classification Y Mi, P Quan, Y Shi, Z Wang European Journal of Operational Research 301 (1), 287-299, 2022 | 20 | 2022 |
| Document-level relation extraction via graph transformer networks and temporal convolutional networks Y Shi, Y Xiao, P Quan, ML Lei, L Niu Pattern Recognition Letters 149, 150-156, 2021 | 19 | 2021 |
| Prediction of influent wastewater quality based on wavelet transform and residual LSTM W Zhang, J Zhao, P Quan, J Wang, X Meng, Q Li Applied Soft Computing 148, 110858, 2023 | 16 | 2023 |
| DREAM: Drug-drug interaction extraction with enhanced dependency graph and attention mechanism Y Shi, P Quan, T Zhang, L Niu Methods 203, 152-159, 2022 | 15 | 2022 |
| A Brief Review of Receptive Fields in Graph Convolutional Networks P Quan, Y Shi, M Lei, J Leng, T Zhang, L Niu IEEE/WIC/ACM International Conference on Web Intelligence-Volume 24800, 106-110, 2019 | 15 | 2019 |
| A survey of sparse regularization based compression methods A Tang, P Quan, L Niu, Y Shi Procedia Computer Science 199, 703-709, 2022 | 13 | 2022 |
| DigGCN: Learning compact graph convolutional networks via diffusion aggregation M Lei, P Quan, R Ma, Y Shi, L Niu IEEE Transactions on Cybernetics 52 (2), 912-924, 2020 | 13 | 2020 |
| Latent neighborhood-based heterogeneous graph representation Y Xiao, P Quan, ML Lei, L Niu Neural Networks 154, 413-424, 2022 | 7 | 2022 |
| Graph Influence Network Y Shi, P Quan, Y Xiao, M Lei, L Niu IEEE Transactions on Cybernetics 53 (10), 6146-6159, 2022 | 7 | 2022 |
| Domain specific automatic Chinese multiple-type question generation T Zhang, P Quan 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 7 | 2018 |
| A Novel Data Mining Approach Towards Human Resource Performance Appraisal P Quan, Y Liu, T Zhang, Y Wen, K Wu, H He, Y Shi International Conference on Computational Science, 476-488, 2018 | 7 | 2018 |
| Context Learning Network for Object Detection J Leng, Y Liu, T Zhang, P Quan 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 667-673, 2018 | 6 | 2018 |
| Wasserstein distance regularized graph neural networks Y Shi, L Zheng, P Quan, L Niu Information Sciences 670, 120608, 2024 | 3 | 2024 |
Yong ShiProfessor, University of Chinese Academy of Sciences在 ucas.ac.cn 的电子邮件经过验证
