| Dgrec: Graph neural network for recommendation with diversified embedding generation L Yang, S Wang, Y Tao, J Sun, X Liu, PS Yu, T Wang Proceedings of the sixteenth ACM international conference on web search and …, 2023 | 95 | 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 |
| 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 |
| 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 | 12 | 2023 |
| Dimension independent mixup for hard negative sample in collaborative filtering X Wu, L Yang, J Gong, C Zhou, T Lin, X Liu, PS Yu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 8 | 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 |
| 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 |
| InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction Z Zeng, X Liu, M Hang, X Liu, Q Zhou, C Yang, Y Liu, Y Ruan, L Chen, ... arXiv preprint arXiv:2411.09852, 2024 | 2 | 2024 |
| Knowledge Graph Based Agent for Complex, Knowledge-Intensive QA in Medicine X Su, Y Wang, S Gao, X Liu, V Giunchiglia, DA Clevert, M Zitnik arXiv preprint arXiv:2410.04660, 2024 | 2 | 2024 |
| Collaborative Semantic Alignment in Recommendation Systems C Wang, L Yang, Z Liu, X Liu, M Yang, Y Liang, SY Philip | 2 | |
| 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 | 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 |
| A Collaborative Ensemble Framework for CTR Prediction X Liu, Z Zeng, X Liu, S Yuan, W Song, M Hang, Y Liu, C Yang, D Kim, ... arXiv preprint arXiv:2411.13700, 2024 | | 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 |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoAdresse e-mail validée de cs.uic.edu
