| Cost-sensitive rough set: a multi-granulation approach H Ju, H Li, X Yang, X Zhou, B Huang Knowledge-Based Systems 123, 137-153, 2017 | 86 | 2017 |
| Sequential three-way classifier with justifiable granularity H Ju, W Pedrycz, H Li, W Ding, X Yang, X Zhou Knowledge-Based Systems 163, 103-119, 2019 | 84 | 2019 |
| Cost-sensitive rough set approach H Ju, X Yang, H Yu, T Li, DJ Yu, J Yang Information Sciences 355, 282-298, 2016 | 56 | 2016 |
| FTransCNN: Fusing Transformer and a CNN based on fuzzy logic for uncertain medical image segmentation W Ding, H Wang, J Huang, H Ju, Y Geng, CT Lin, W Pedrycz Information Fusion 99, 101880, 2023 | 55 | 2023 |
| Dynamic updating multigranulation fuzzy rough set: approximations and reducts H Ju, X Yang, X Song, Y Qi International Journal of Machine Learning and Cybernetics 5, 981-990, 2014 | 50 | 2014 |
| Robust supervised rough granular description model with the principle of justifiable granularity H Ju, W Ding, X Yang, H Fujita, S Xu Applied Soft Computing 110, 107612, 2021 | 39 | 2021 |
| Label distribution learning: A local collaborative mechanism S Xu, H Ju, L Shang, W Pedrycz, X Yang, C Li International Journal of Approximate Reasoning 121, 59-84, 2020 | 33 | 2020 |
| SD-CNN: A static-dynamic convolutional neural network for functional brain networks J Huang, M Wang, H Ju, Z Shi, W Ding, D Zhang Medical Image Analysis 83, 102679, 2023 | 27 | 2023 |
| Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization K Liu, T Li, X Yang, H Ju, X Yang, D Liu International Journal of Approximate Reasoning 148, 57-67, 2022 | 27 | 2022 |
| Multiple lesions detection of fundus images based on convolution neural network algorithm with improved SFLA W Ding, Y Sun, L Ren, H Ju, Z Feng, M Li IEEE access 8, 97618-97631, 2020 | 24 | 2020 |
| Attribute reduction with personalized information granularity of nearest mutual neighbors H Ju, W Ding, Z Shi, J Huang, J Yang, X Yang Information Sciences 613, 114-138, 2022 | 22 | 2022 |
| Triple-G: a new MGRS and attribute reduction J Ba, K Liu, H Ju, S Xu, T Xu, X Yang International Journal of Machine Learning and Cybernetics 13 (2), 337-356, 2022 | 22 | 2022 |
| Variable precision multigranulation rough set and attributes reduction H Ju, X Yang, H Dou, J Song Transactions on Rough Sets XVIII, 52-68, 2014 | 16 | 2014 |
| RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism W Ding, Y Sun, J Huang, H Ju, C Zhang, G Yang, CT Lin Information Sciences 657, 120007, 2024 | 15 | 2024 |
| Feature selection in threes: neighborhood relevancy, redundancy, and granularity interactivity K Liu, T Li, X Yang, H Ju, X Yang, D Liu Applied Soft Computing 146, 110679, 2023 | 15 | 2023 |
| Parallel incremental efficient attribute reduction algorithm based on attribute tree W Ding, T Qin, X Shen, H Ju, H Wang, J Huang, M Li Information Sciences 610, 1102-1121, 2022 | 14 | 2022 |
| A novel spark-based attribute reduction and neighborhood classification for rough evidence W Ding, Y Sun, M Li, J Liu, H Ju, J Huang, CT Lin IEEE Transactions on Cybernetics 54 (3), 1470-1483, 2022 | 13 | 2022 |
| Combining similarity and divergence measures for intuitionistic fuzzy information clustering J Liu, X Zhou, B Huang, H Li, H Ju Journal of Intelligent & Fuzzy Systems 36 (4), 3195-3209, 2019 | 13 | 2019 |
| A Q-learning approach to attribute reduction Y Liu, Z Gong, K Liu, S Xu, H Ju, X Yang Applied Intelligence 53 (4), 3750-3765, 2023 | 12 | 2023 |
| Bi-directional adaptive neighborhood rough sets based attribute subset selection H Ju, W Ding, X Yang, P Gu International Journal of Approximate Reasoning 160, 108966, 2023 | 10 | 2023 |
Weiping Ding (AE of TNNLS, TFS, TIT...Nantong University(Stanford’s World's Top 2% Researcher,Full Professor, Ph.D, IEEE Senior Member)Adresse e-mail validée de ntu.edu.cn