| Rule extraction from support vector machines using ensemble learning approach: an application for diagnosis of diabetes L Han, S Luo, J Yu, L Pan, S Chen IEEE journal of biomedical and health informatics 19 (2), 728-734, 2014 | 165 | 2014 |
| Soft-margin mixture of regressions D Huang, L Han, F De la Torre Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 28 | 2017 |
| An intelligible risk stratification model based on pairwise and size constrained Kmeans L Han, S Luo, H Wang, L Pan, X Ma, T Zhang IEEE journal of biomedical and health informatics 21 (5), 1288-1296, 2016 | 28 | 2016 |
| Self-paced mixture of regressions L Han, D Zhang, D Huang, X Chang, J Ren, S Luo, J Han International Joint Conference on Artificial Intelligence 2017, 1816-1822, 2017 | 22 | 2017 |
| BMAnet: Boundary mining with adversarial learning for semi-supervised 2D myocardial infarction segmentation C Xu, Y Wang, D Zhang, L Han, Y Zhang, J Chen, S Li IEEE Journal of Biomedical and Health Informatics 27 (1), 87-96, 2022 | 21 | 2022 |
| A risk assessment model for type 2 diabetes in Chinese S Luo, L Han, P Zeng, F Chen, L Pan, S Wang, T Zhang PloS one 9 (8), e104046, 2014 | 18 | 2014 |
| Deep supervised learning with mixture of neural networks Y Hu, S Luo, L Han, L Pan, T Zhang Artificial intelligence in medicine 102, 101764, 2020 | 17 | 2020 |
| Position-based anchor optimization for point supervised dense nuclei detection J Yao, L Han, G Guo, Z Zheng, R Cong, X Huang, J Ding, K Yang, ... Neural Networks 171, 159-170, 2024 | 5 | 2024 |
| Semantic-aware knowledge distillation with parameter-free feature uniformization G Guo, L Han, L Wang, D Zhang, J Han Visual Intelligence 1 (1), 6, 2023 | 5 | 2023 |
| Attention-Aware Learning for Hyperparameter Prediction in Image Processing Pipelines H Qin, L Han, J Wang, C Zhang, Y Li, B Li, W Hu European Conference on Computer Vision, 271-287, 2022 | 4 | 2022 |
| Learning to Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization H Qin, L Han, W Xiong, J Wang, W Ma, B Li, W Hu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 1 | 2023 |
| RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing X Sun, Z Zhao, L Wei, C Lang, M Cai, L Han, J Wang, B Li, Y Guo Proceedings of the AAAI Conference on Artificial Intelligence 38 (5), 5025-5033, 2024 | | 2024 |
| Contextual Dependency Vision Transformer for spectrogram-based multivariate time series analysis J Yao, L Han, K Yang, G Guo, N Liu, X Huang, Z Zheng, D Zhang, J Han Neurocomputing 572, 127215, 2024 | | 2024 |
| Giving Text More Imagination Space for Image-text Matching X Dong, L Han, D Zhang, L Liu, J Han, H Zhang Proceedings of the 31st ACM International Conference on Multimedia, 6359-6368, 2023 | | 2023 |
| A Mutual Enhancement Framework for Specular Highlight Detection and Removal G Huang, J Yao, P Huang, L Han Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 457-468, 2023 | | 2023 |
| Dual Domain-Adversarial Learning for Audio-Visual Saliency Prediction Y Fan, L Han, Y Zhang, L Cheng, C Xia, D Hu Proceedings of the 3rd International Workshop on Human-Centric Multimedia …, 2022 | | 2022 |
| Attention-aware Learning for Hyperparameters Prediction in Image Processing Pipelines (Supplemental Material) H Qin, L Han, J Wang, C Zhang, Y Li, B Li, W Hu | | |
| Learning to Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization (Supplemental Material) H Qin, L Han, W Xiong, J Wang, W Ma, B Li, W Hu | | |
Dingwen ZhangNorthwestern Polytechnical UniversityVerified email at mail.nwpu.edu.cn
