| A hybrid recommender system based on user‐recommender interaction HR Zhang, F Min, X He, YY Xu Mathematical Problems in Engineering 2015 (1), 145636, 2015 | 64 | 2015 |
| Learning accurate label-specific features from partially multilabeled data T Xu, Y Xu, S Yang, B Li, W Zhang IEEE Transactions on Neural Networks and Learning Systems 35 (8), 10436-10450, 2023 | 17 | 2023 |
| Unsupervised cross-view feature selection on incomplete data Y Xu, Y Yin, J Wang, J Wei, J Liu, L Yao, W Zhang Knowledge-Based Systems 234, 107595, 2021 | 16 | 2021 |
| Cos-ldl: Label distribution learning by cosine-based distance-mapping correlation HR Zhang, YT Huang, YY Xu, F Min IEEE access 8, 63961-63970, 2020 | 14 | 2020 |
| A three-way recommender system for popularity-based costs YY Xu, HR Zhang, F Min International Joint Conference on Rough Sets, 278-289, 2017 | 11 | 2017 |
| A hybrid approach to three-way conversational recommendation YY Xu, SM Gu, HX Li, F Min Soft Computing 26 (24), 13885-13897, 2022 | 10 | 2022 |
| Improving recommendation quality through outlier removal YY Xu, SM Gu, F Min International Journal of Machine Learning and Cybernetics 13 (7), 1819-1832, 2022 | 6 | 2022 |
| Three‐way recommendation integrating global and local information YY Ma, HR Zhang, YY Xu, F Min, L Gao The Journal of Engineering 2018 (16), 1397-1401, 2018 | 5 | 2018 |
| Matrix factorization with a sigmoid-like loss control YY Xu, H Xiao, HR Zhang, WZ Wu, F Min Neurocomputing 576, 127338, 2024 | 4 | 2024 |
| An adaptive mechanism for recommendation algorithm ensemble Q Huang, YY Xu, Y Chen, HR Zhang, F Min IEEE Access 7, 10331-10342, 2019 | 4 | 2019 |
| Exploiting asymmetric influence between instances for label enhancement HR Zhang, PC Li, YY Xu, F Min Information Sciences 678, 120954, 2024 | 2 | 2024 |
| 三支交互推荐 徐媛媛， 张恒汝， 闵帆， 黄雨婷 南京大学学报 (自然科学版) 55 (6), 973-983, 2019 | 2 | 2019 |
| Label Distribution Learning by Exploiting Feature-Label Correlations Locally GL Li, HR Zhang, YY Xu, YL Lv, F Min 2021 IEEE International Conference on Big Knowledge (ICBK), 86-93, 2021 | 1 | 2021 |
| Label distribution learning by exploiting structural label dependency Y Huang, Y Xu, H Zhang, F Min Journal of Nanjing University (Natural Sciences) 56 (4), 524-532, 2020 | 1 | 2020 |
| Classification-wise and cluster-wise contrastive learning for graph neural recommendation HR Zhang, XY Liu, YY Xu, YF Yu, F Min Applied Soft Computing, 113701, 2025 | | 2025 |
| Neural recommendation by user-item-user and item-user-item relation modeling YY Xu, H Xiao, HR Zhang, DD Wang, K Wang, F Min Pattern Recognition, 112104, 2025 | | 2025 |
| A Seagull Loss Function With Application to Recommender Systems YY Xu, H Xiao, HR Zhang, XZ Wang, H Yu, F Min IEEE Transactions on Computational Social Systems, 2025 | | 2025 |
| An explainable generalized matrix factorization recommendation algorithm L Yalan, Y Xu, H Zhang Journal of Nanjing University (Natural Sciences) 58 (1), 135-142, 2022 | | 2022 |
