| Gated attentive-autoencoder for content-aware recommendation C Ma, P Kang, B Wu, Q Wang, X Liu Proceedings of the twelfth ACM international conference on web search and …, 2019 | 66 | 2019 |
| Deeprec: An open-source toolkit for deep learning based recommendation S Zhang, Y Tay, L Yao, B Wu, A Sun arXiv preprint arXiv:1905.10536, 2019 | 38 | 2019 |
| Unraveling metric vector spaces with factorization for recommendation S Zhang, L Yao, B Wu, X Xu, X Zhang, L Zhu IEEE Transactions on Industrial Informatics 16 (2), 732-742, 2019 | 37 | 2019 |
| APL: Adversarial pairwise learning for recommender systems Z Sun, B Wu, Y Wu, Y Ye Expert Systems with Applications 118, 573-584, 2019 | 34 | 2019 |
| ATM: An attentive translation model for next-item recommendation B Wu, X He, Z Sun, L Chen, Y Ye IEEE Transactions on Industrial Informatics 16 (3), 1448-1459, 2019 | 29 | 2019 |
| BSPR: Basket-sensitive personalized ranking for product recommendation B Wu, Y Ye Information Sciences 541, 185-206, 2020 | 25 | 2020 |
| EAGCN: An efficient adaptive graph convolutional network for item recommendation in social Internet of Things B Wu, L Zhong, L Yao, Y Ye IEEE internet of things journal 9 (17), 16386-16401, 2022 | 24 | 2022 |
| GCRec: Graph-augmented capsule network for next-item recommendation B Wu, X He, Q Zhang, M Wang, Y Ye IEEE Transactions on Neural Networks and Learning Systems, 2022 | 23 | 2022 |
| Modeling product’s visual and functional characteristics for recommender systems B Wu, X He, Y Chen, L Nie, K Zheng, Y Ye IEEE Transactions on Knowledge and Data Engineering 34 (3), 1330-1343, 2020 | 19 | 2020 |
| Sequential graph collaborative filtering Z Sun, B Wu, Y Wang, Y Ye Information Sciences 592, 244-260, 2022 | 18 | 2022 |
| Efficient complementary graph convolutional network without negative sampling for item recommendation B Wu, L Zhong, H Li, Y Ye Knowledge-Based Systems 256, 109758, 2022 | 14 | 2022 |
| Co-regularized matrix factorization recommendation algorithm 吴宾， 娄铮铮， 叶阳东 Journal of Software 29 (9), 2681-2696, 2017 | 14 | 2017 |
| Graph-augmented co-attention model for socio-sequential recommendation B Wu, X He, L Wu, X Zhang, Y Ye IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023 | 13 | 2023 |
| Cross-modal information fusion for voice spoofing detection J Xue, H Zhou, H Song, B Wu, L Shi Speech Communication 147, 41-50, 2023 | 11 | 2023 |
| Gating augmented capsule network for sequential recommendation Q Zhang, B Wu, Z Sun, Y Ye Knowledge-Based Systems 247, 108817, 2022 | 11 | 2022 |
| 联合正则化的矩阵分解推荐算法 吴宾， 娄铮铮， 叶阳东 软件学报 29 (9), 2018 | 10 | 2018 |
| Visual appearance or functional complementarity: Which aspect affects your decision making? B Wu, Y Ye, Y Chen Information Sciences 476, 19-37, 2019 | 9 | 2019 |
| Learning from the future: Light cone modeling for sequential recommendation Z Sun, B Wu, Y Chen, Y Ye IEEE Transactions on Cybernetics, 2022 | 6 | 2022 |
| Multi-view graph neural network with cascaded attention for lncRNA-miRNA interaction prediction H Li, B Wu, M Sun, Y Ye, Z Zhu, K Chen Knowledge-Based Systems 268, 110492, 2023 | 5 | 2023 |
| Graph-augmented social translation model for next-item recommendation B Wu, L Zhong, Y Ye IEEE Transactions on Industrial Informatics, 2023 | 5 | 2023 |
Xiangnan HeUniversity of Science and Technology of China, School of Data Science在 ustc.edu.cn 的电子邮件经过验证
