| Augmenting sequential recommendation with pseudo-prior items via reversely pre-training transformer Z Liu, Z Fan, Y Wang, PS Yu Proceedings of the 44th international ACM SIGIR conference on Research and …, 2021 | 119 | 2021 |
| Dskreg: Differentiable sampling on knowledge graph for recommendation with relational gnn Y Wang, Z Liu, Z Fan, L Sun, PS Yu Proceedings of the 30th ACM International Conference on Information …, 2021 | 51 | 2021 |
| Large-scale personalized video game recommendation via social-aware contextualized graph neural network L Yang, Z Liu, Y Wang, C Wang, Z Fan, PS Yu Proceedings of the ACM Web Conference 2022, 3376-3386, 2022 | 35 | 2022 |
| Contrastvae: Contrastive variational autoencoder for sequential recommendation Y Wang, H Zhang, Z Liu, L Yang, PS Yu Proceedings of the 31st ACM International Conference on Information …, 2022 | 28 | 2022 |
| Efficient federated learning on knowledge graphs via privacy-preserving relation embedding aggregation K Zhang, Y Wang, H Wang, L Huang, C Yang, X Chen, L Sun arXiv preprint arXiv:2203.09553, 2022 | 14 | 2022 |
| Membership inference attacks on knowledge graphs Y Wang, L Huang, PS Yu, L Sun arXiv preprint arXiv:2104.08273, 2021 | 12 | 2021 |
| Drdt: Dynamic reflection with divergent thinking for llm-based sequential recommendation Y Wang, Z Liu, J Zhang, W Yao, S Heinecke, PS Yu arXiv preprint arXiv:2312.11336, 2023 | 9 | 2023 |
| Conditional denoising diffusion for sequential recommendation Y Wang, Z Liu, L Yang, PS Yu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 156-169, 2024 | 8 | 2024 |
| Localized contrastive learning on graphs H Zhang, Q Wu, Y Wang, S Zhang, J Yan, PS Yu arXiv preprint arXiv:2212.04604, 2022 | 5 | 2022 |
| Explicit pairwise factorized graph neural network for semi-supervised node classification Y Wang, Y Shen, D Cremers Uncertainty in Artificial Intelligence, 1979-1987, 2021 | 5 | 2021 |
| Variational resampling based assessment of deep neural networks under distribution shift X Sun, A Gossmann, Y Wang, B Bischt 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1344-1353, 2019 | 5 | 2019 |
| Exploiting intent evolution in e-commercial query recommendation Y Wang, Z Wang, H Zhang, Q Yin, X Tang, Y Wang, D Zhang, L Cui, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 2 | 2023 |
| Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models Y Liu, Y Wang, L Sun, PS Yu arXiv preprint arXiv:2402.08670, 2024 | | 2024 |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
