| 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 | 157 | 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 | 64 | 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 | 58 | 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 | 55 | 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 | 41 | 2022 |
| 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 | 31 | 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 | 24 | 2024 |
| Membership inference attacks on knowledge graphs Y Wang, L Huang, PS Yu, L Sun arXiv preprint arXiv:2104.08273, 2021 | 20 | 2021 |
| Localized contrastive learning on graphs H Zhang, Q Wu, Y Wang, S Zhang, J Yan, PS Yu arXiv preprint arXiv:2212.04604, 2022 | 18 | 2022 |
| Rec-gpt4v: Multimodal recommendation with large vision-language models Y Liu, Y Wang, L Sun, PS Yu arXiv preprint arXiv:2402.08670, 2024 | 14 | 2024 |
| Explicit pairwise factorized graph neural network for semi-supervised node classification Y Wang, Y Shen, D Cremers Uncertainty in Artificial Intelligence, 1979-1987, 2021 | 8 | 2021 |
| 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 | 5 | 2023 |
| 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 |
| Recommender Systems Meet Large Language Model Agents: A Survey X Zhu, Y Wang, H Gao, W Xu, C Wang, Z Liu, K Wang, M Jin, L Pang, ... Available at SSRN 5062105, 2024 | 1 | 2024 |
| Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap W Zhang, Y Bei, L Yang, HP Zou, P Zhou, A Liu, Y Li, H Chen, J Wang, ... arXiv preprint arXiv:2501.01945, 2025 | | 2025 |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoPotvrđena adresa e-pošte na cs.uic.edu