| A comprehensive survey on transfer learning F Zhuang, Z Qi, K Duan, D Xi, Y Zhu, H Zhu, H Xiong, Q He Proceedings of the IEEE 109 (1), 43-76, 2020 | 5151 | 2020 |
| Deep subdomain adaptation network for image classification Y Zhu, F Zhuang, J Wang, G Ke, J Chen, J Bian, H Xiong, Q He IEEE Transactions on Neural Networks and Learning Systems 32 (4), 1713-1722, 2020 | 708 | 2020 |
| Aligning domain-specific distribution and classifier for cross-domain classification from multiple sources Y Zhu, F Zhuang, D Wang Proceedings of the AAAI conference on artificial intelligence 33 (01), 5989-5996, 2019 | 315 | 2019 |
| Multi-representation adaptation network for cross-domain image classification Y Zhu, F Zhuang, J Wang, J Chen, Z Shi, W Wu, Q He Neural Networks 119, 214-221, 2019 | 213 | 2019 |
| Personalized Transfer of User Preferences for Cross-domain Recommendation Y Zhu, Z Tang, Y Liu, F Zhuang, R Xie, X Zhang, L Lin, Q He Proceedings of the 15th ACM International Conference on Web Search and Data …, 2022 | 154 | 2022 |
| Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks Y Zhu, R Xie, F Zhuang, K Ge, Y Sun, X Zhang, L Lin, J Cao Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 105 | 2021 |
| MDFEND: Multi-domain fake news detection Q Nan, J Cao, Y Zhu, Y Wang, J Li Proceedings of the 30th ACM International Conference on Information …, 2021 | 104 | 2021 |
| Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users Y Zhu, K Ge, F Zhuang, R Xie, D Xi, X Zhang, L Lin, Q He Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 100 | 2021 |
| Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising D Xi, Z Chen, P Yan, Y Zhang, Y Zhu, F Zhuang, Y Chen Proceedings of the 27th ACM SIGKDD International Conference on Knowledge …, 2021 | 81 | 2021 |
| Modeling users’ behavior sequences with hierarchical explainable network for cross-domain fraud detection Y Zhu, D Xi, B Song, F Zhuang, S Chen, X Gu, Q He Proceedings of The Web Conference 2020, 928-938, 2020 | 69 | 2020 |
| Multi-view Multi-behavior Contrastive Learning in Recommendation Y Wu, R Xie, Y Zhu, X Ao, X Chen, X Zhang, F Zhuang, L Lin, Q He Proceedings of the 27th International Conference on Database Systems for …, 2022 | 68 | 2022 |
| Memory-guided multi-view multi-domain fake news detection Y Zhu, Q Sheng, J Cao, Q Nan, K Shu, M Wu, J Wang, F Zhuang IEEE Transactions on Knowledge and Data Engineering 35 (7), 7178-7191, 2022 | 67 | 2022 |
| Generalizing to the Future: Mitigating Entity Bias in Fake News Detection Y Zhu, Q Sheng, J Cao, S Li, D Wang, F Zhuang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 62 | 2022 |
| Zoom Out and Observe: News Environment Perception for Fake News Detection Q Sheng, J Cao, X Zhang, R Li, D Wang, Y Zhu Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 53 | 2022 |
| Selective Fairness in Recommendation via Prompts Y Wu, R Xie, Y Zhu, F Zhuang, X Ao, X Zhang, L Lin, Q He Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 41 | 2022 |
| User-Centric Conversational Recommendation with Multi-Aspect User Modeling S Li, R Xie, Y Zhu, X Ao, F Zhuang, Q He Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 40 | 2022 |
| Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising Y Zhu, Y Liu, R Xie, F Zhuang, X Hao, K Ge, X Zhang, L Lin, J Cao Proceedings of the 27th ACM SIGKDD International Conference on Knowledge …, 2021 | 37 | 2021 |
| Personalized prompts for sequential recommendation Y Wu, R Xie, Y Zhu, F Zhuang, X Zhang, L Lin, Q He IEEE Transactions on Knowledge and Data Engineering, 2022 | 31 | 2022 |
| Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion Z Tang, S Pei, Z Zhang, Y Zhu, F Zhuang, R Hoehndorf, X Zhang Proceedings of the 31st International Joint Conference on Artificial …, 2022 | 31 | 2022 |
| Neural hierarchical factorization machines for user's event sequence analysis D Xi, F Zhuang, B Song, Y Zhu, S Chen, D Hong, T Chen, X Gu, Q He Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 22 | 2020 |
Fuzhen Zhuang (庄福振)Professor at Institute of Artificial Intelligence, Beihang University在 buaa.edu.cn 的电子邮件经过验证
