| A heuristic weight-setting strategy and iteratively updating algorithm for weighted least-squares support vector regression YX Wen W, Hao Z Neurocomputing 71 (16), 3096-3103, 2008 | 58 | 2008 |
| Robust least squares support vector machine based on recursive outlier elimination YX Wen W, Hao Z Soft Computing 14 (11), 1241-1251, 2010 | 39 | 2010 |
| A Coarse-to-Fine User Preferences Prediction Method for Point-of-interest Recommendation L Cai, W Wen, B Wu, X Yang Neurocomputing 422, 1-11, 2021 | 21 | 2021 |
| A subgraph-representation-based method for answering complex questions over knowledge bases Z Hao, B Wu, W Wen, R Cai Neural Networks 119, 57-65, 2019 | 17 | 2019 |
| Semi-supervised disentangled framework for transferable named entity recognition Z Hao, D Lv, Z Li, R Cai, W Wen, B Xu Neural Networks 135, 127-138, 2021 | 16 | 2021 |
| Multi-context aware user–item embedding for recommendation B Wu, W Wen, Z Hao, R Cai Neural Networks 124, 86-94, 2020 | 14 | 2020 |
| Motif-based memory networks for complex-factoid question answering Z Hao, J Chen, W Wen, B Wu, R Cai Neurocomputing 485, 12-21, 2022 | 10 | 2022 |
| Unsupervised Multi-view Nonlinear Graph Embedding H Jiaming, L Zhao, ZV Wenchen, W Wen, et. al. UAI’18, 2018 | 9 | 2018 |
| Factorizing time-heterogeneous Markov transition for temporal recommendation W Wen, W Wang, Z Hao, R Cai Neural Networks 159, 84-96, 2023 | 7 | 2023 |
| 一种融合节点先验信息的图表示学习方法 温雯， 黄家明， 蔡瑞初， 郝志峰， 王丽娟 软件学报 29 (3), 786-798, 2017 | 6 | 2017 |
| Recognizing activities from partially observed streams using posterior regularized conditional random fields W Wen, R Cai, Z Hao, X Yang, Y Li Neurocomputing 260, 294-301, 2017 | 4 | 2017 |
| Deep Structured State Learning for Next-Period Recommendation W Wen, F Liang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 1 | 2022 |
| A selection-pattern-aware recommendation model with colored-motif attention network Z Hao, J Chen, W Wen, B Wu, R Cai Neurocomputing 538, 126178, 2023 | | 2023 |
