| A unified framework for metric transfer learning Y Xu, SJ Pan, H Xiong, Q Wu, R Luo, H Min, H Song IEEE Transactions on Knowledge and Data Engineering 29 (6), 1158-1171, 2017 | 183 | 2017 |
| Online transfer learning with multiple homogeneous or heterogeneous sources Q Wu, H Wu, X Zhou, M Tan, Y Xu, Y Yan, T Hao IEEE Transactions on Knowledge and Data Engineering 29 (7), 1494-1507, 2017 | 121 | 2017 |
| Contextualized graph attention network for recommendation with item knowledge graph Y Liu, S Yang, Y Xu, C Miao, M Wu, J Zhang IEEE Transactions on knowledge and data engineering 35 (1), 181-195, 2021 | 73 | 2021 |
| Feature selection and transfer learning for Alzheimer’s disease clinical diagnosis K Zhou, W He, Y Xu, G Xiong, J Cai Applied Sciences 8 (8), 1372, 2018 | 45 | 2018 |
| Enhancing Sequential Recommendation with Graph Contrastive Learning CM Yixin Zhang, Yong Liu, Yonghui Xu*, Hao Xiong, Chenyi Lei, Wei He, Lizhen ... The 31st International Joint Conference on Artificial Intelligence (IJCAI-22), 2022 | 38* | 2022 |
| Time-aware graph embedding: A temporal smoothness and task-oriented approach Y Xu, S Sun, H Zhang, C Yi, Y Miao, D Yang, X Meng, Y Hu, K Wang, ... ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (3), 1-23, 2021 | 20 | 2021 |
| Heterogeneous star graph attention network for product attributes prediction X Zhao, Y Liu, Y Xu, Y Yang, X Luo, C Miao Advanced Engineering Informatics 51, 101447, 2022 | 19 | 2022 |
| Multi-component transfer metric learning for handling unrelated source domain samples Y Xu, H Yu, Y Yan, Y Liu Knowledge-Based Systems 203, 106132, 2020 | 19 | 2020 |
| A survey on federated recommendation systems Z Sun, Y Xu, Y Liu, W He, L Kong, F Wu, Y Jiang, L Cui arXiv preprint arXiv:2301.00767, 2022 | 18 | 2022 |
| Multi-label metric transfer learning jointly considering instance space and label space distribution divergence S Jiang, Y Xu, T Wang, H Yang, S Qiu, H Yu, H Song IEEE Access 7, 10362-10373, 2019 | 17 | 2019 |
| MHCCL: masked hierarchical cluster-wise contrastive learning for multivariate time series Q Meng, H Qian, Y Liu, L Cui, Y Xu, Z Shen Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9153-9161, 2023 | 16 | 2023 |
| Multi-instance multi-label distance metric learning for genome-wide protein function prediction Y Xu, H Min, H Song, Q Wu Computational biology and chemistry 63, 30-40, 2016 | 16 | 2016 |
| Multi-instance metric transfer learning for genome-wide protein function prediction Y Xu, H Min, Q Wu, H Song, B Ye Scientific Reports 7 (1), 41831, 2017 | 15 | 2017 |
| Unsupervised representation learning for time series: A review Q Meng, H Qian, Y Liu, Y Xu, Z Shen, L Cui arXiv preprint arXiv:2308.01578, 2023 | 8 | 2023 |
| Healthnet: A health progression network via heterogeneous medical information fusion F Yu, L Cui, H Chen, Y Cao, N Liu, W Huang, Y Xu, H Lu IEEE Transactions on Neural Networks and Learning Systems, 2022 | 8 | 2022 |
| Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks X Sun, X Zheng, Y Xu, L Cui, B Hu IJCAI 2021 AI for Cognitive and Physical Frailty Workshop (AIF), 2021 | 8 | 2021 |
| Knowledge distillation in medical data mining: a survey H Meng, Z Lin, F Yang, Y Xu, L Cui 5th International Conference on Crowd Science and Engineering, 175-182, 2021 | 8 | 2021 |
| ATPL: Mutually enhanced adversarial training and pseudo labeling for unsupervised domain adaptation C Yi, H Chen, Y Xu, Y Liu, J Lei, H Tan Knowledge-Based System（KBS） 108831, 2022 | 7* | 2022 |
| Kdtnet: medical image report generation via knowledge-driven transformer Y Cao, L Cui, F Yu, L Zhang, Z Li, N Liu, Y Xu International Conference on Database Systems for Advanced Applications, 117-132, 2022 | 7 | 2022 |
| Multi-instance transfer metric learning by weighted distribution and consistent maximum likelihood estimation S Jiang, Y Xu, H Song, Q Wu, MK Ng, H Min, S Qiu Neurocomputing 321, 49-60, 2018 | 7 | 2018 |
