| 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 | 57 | 2022 |
| Pre-training graph neural network for cross domain recommendation C Wang, Y Liang, Z Liu, T Zhang, SY Philip 2021 IEEE Third International Conference on Cognitive Machine Intelligence …, 2021 | 55 | 2021 |
| Multi-task item-attribute graph pre-training for strict cold-start item recommendation Y Cao, L Yang, C Wang, Z Liu, H Peng, C You, PS Yu Proceedings of the 17th ACM Conference on Recommender Systems, 322-333, 2023 | 21 | 2023 |
| Graph-based alignment and uniformity for recommendation L Yang, Z Liu, C Wang, M Yang, X Liu, J Ma, PS Yu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 20 | 2023 |
| Deep fraud detection on non-attributed graph C Wang, Y Dou, M Chen, J Chen, Z Liu, SY Philip 2021 IEEE International Conference on Big Data (Big Data), 5470-5473, 2021 | 20 | 2021 |
| Unified Pretraining for Recommendation via Task Hypergraphs M Yang, Z Liu, L Yang, X Liu, C Wang, H Peng, PS Yu Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 13 | 2024 |
| Group identification via transitional hypergraph convolution with cross-view self-supervised learning M Yang, Z Liu, L Yang, X Liu, C Wang, H Peng, PS Yu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 13 | 2023 |
| Sequential recommendation with auxiliary item relationships via multi-relational transformer Z Fan, Z Liu, C Wang, P Huang, H Peng, SY Philip 2022 IEEE International Conference on Big Data (Big Data), 525-534, 2022 | 12 | 2022 |
| Ranking-based group identification via factorized attention on social tripartite graph M Yang, Z Liu, L Yang, X Liu, C Wang, H Peng, PS Yu Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 11 | 2023 |
| Knowledge Graph Context-Enhanced Diversified Recommendation X Liu, L Yang, Z Liu, M Yang, C Wang, H Peng, PS Yu Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 7 | 2024 |
| Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation X Liu, L Yang, Z Liu, X Li, M Yang, C Wang, SY Philip 2023 IEEE International Conference on Big Data (BigData), 393-402, 2023 | 7 | 2023 |
| Collaborative Alignment for Recommendation C Wang, L Yang, Z Liu, X Liu, M Yang, Y Liang, PS Yu Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 3* | 2024 |
| Instruction-based hypergraph pretraining M Yang, Z Liu, L Yang, X Liu, C Wang, H Peng, PS Yu Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 3 | 2024 |
| Taxonomy-Guided Zero-Shot Recommendations with LLMs Y Liang, L Yang, C Wang, X Xu, PS Yu, K Shu arXiv preprint arXiv:2406.14043, 2024 | 3 | 2024 |
| Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction C Wang, F Wang, R Guo, Y Liang, K Liu, PS Yu arXiv preprint arXiv:2402.08976, 2024 | 3 | 2024 |
| Item Cluster-aware Prompt Learning for Session-based Recommendation W Yang, C Wang, Z Song, W Zhang, PS Yu arXiv preprint arXiv:2410.04756, 2024 | 1 | 2024 |
| Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation C Wang, Z Fan, L Yang, M Yang, X Liu, Z Liu, P Yu Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 1 | 2024 |
| Multi-view Graph Convolution for Participant Recommendation X Liu, L Yang, C Wang, M Yang, Z Liu, SY Philip 2023 IEEE International Conference on Big Data (BigData), 5647-5656, 2023 | | 2023 |
| Recommender Systems in the Era of Large Language Model Agents: A Survey XI ZHU, YU WANG, H GAO, W XU, C WANG, Z LIU, KUN WANG, M JIN, ... | | |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu