| A survey on curriculum learning X Wang, Y Chen, W Zhu IEEE transactions on pattern analysis and machine intelligence 44 (9), 4555-4576, 2021 | 667 | 2021 |
| Disentangled graph convolutional networks J Ma, P Cui, K Kuang, X Wang, W Zhu International conference on machine learning, 4212-4221, 2019 | 387 | 2019 |
| Disentangled self-supervision in sequential recommenders J Ma, C Zhou, H Yang, P Cui, X Wang, W Zhu Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 219 | 2020 |
| Social recommendation with strong and weak ties X Wang, W Lu, M Ester, C Wang, C Chen Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 177 | 2016 |
| Disentangled Representation Learning X Wang, H Chen, S Tang, Z Wu, W Zhu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 176 | 2024 |
| Ood-gnn: Out-of-distribution generalized graph neural network H Li, X Wang, Z Zhang, W Zhu IEEE Transactions on Knowledge and Data Engineering 35 (7), 7328-7340, 2022 | 116 | 2022 |
| Learning personalized preference of strong and weak ties for social recommendation X Wang, SCH Hoi, M Ester, J Bu, C Chen Proceedings of the 26th International Conference on World Wide Web (WWW 2017 …, 2017 | 112 | 2017 |
| A comprehensive survey on deep clustering: Taxonomy, challenges, and future directions S Zhou, H Xu, Z Zheng, J Chen, Z Li, J Bu, J Wu, X Wang, W Zhu, M Ester ACM Computing Surveys 57 (3), 1-38, 2024 | 111 | 2024 |
| Semi-supervised clustering in attributed heterogeneous information networks X Li, Y Wu, M Ester, B Kao, X Wang, Y Zheng Proceedings of the 26th international conference on world wide web, 1621-1629, 2017 | 108 | 2017 |
| Friend recommendation with content spread enhancement in social networks Z Yu, C Wang, J Bu, X Wang, Y Wu, C Chen Information Sciences 309, 102-118, 2015 | 108 | 2015 |
| Disentangled Contrastive Learning on Graphs H Li, X Wang, Z Zhang, Z Yuan, H Li, W Zhu Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 97 | 2021 |
| Learning invariant graph representations for out-of-distribution generalization H Li, Z Zhang, X Wang, W Zhu Advances in Neural Information Processing Systems, 2022 | 95 | 2022 |
| Out-of-distribution generalization on graphs: A survey H Li, X Wang, Z Zhang, W Zhu arXiv preprint arXiv:2202.07987, 2022 | 93 | 2022 |
| Automated Machine Learning on Graphs: A Survey Z Zhang, X Wang, W Zhu Proceedings of the 30th International Joint Conference on Artificial …, 2021 | 89 | 2021 |
| Boosting visual question answering with context-aware knowledge aggregation G Li, X Wang, W Zhu Proceedings of the 28th ACM International Conference on Multimedia, 1227-1235, 2020 | 86 | 2020 |
| Curriculum meta-learning for next POI recommendation Y Chen, X Wang, M Fan, J Huang, S Yang, W Zhu Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 83 | 2021 |
| Disenbooth: Identity-preserving disentangled tuning for subject-driven text-to-image generation H Chen, Y Zhang, S Wu, X Wang, X Duan, Y Zhou, W Zhu The Twelfth International Conference on Learning Representations, 2023 | 81* | 2023 |
| Distilling holistic knowledge with graph neural networks S Zhou, Y Wang, D Chen, J Chen, X Wang, C Wang, J Bu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 70 | 2021 |
| Multimedia Intelligence: When Multimedia Meets Artificial Intelligence W Zhu, X Wang, W Gao IEEE Transactions on Multimedia, 2020 | 68 | 2020 |
| Curriculum Disentangled Recommendation with Noisy Multi-feedback H Chen, Y Chen, X Wang, R Xie, R Wang, F Xia, W Zhu Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 67 | 2021 |
Wenwu ZhuProfessor, Computer Science, Tsinghua UniverisityVerified email at tsinghua.edu.cn
