| Macro Graph Neural Networks for Online Billion-Scale Recommender Systems H Chen, Y Bei, Q Shen, Y Xu, S Zhou, W Huang, F Huang, S Wang, ... The Web Conference (WWW) 2024, 3598-3608, 2024 | 45 | 2024 |
| Large Language Model Simulator for Cold-Start Recommendation F Huang, Y Bei, Z Yang, J Jiang, H Chen, Q Shen, S Wang, F Karray, ... arXiv preprint arXiv:2402.09176, 2024 | 27* | 2024 |
| Reinforcement neighborhood selection for unsupervised graph anomaly detection Y Bei, S Zhou, Q Tan, H Xu, H Chen, Z Li, J Bu 2023 IEEE International Conference on Data Mining (ICDM), 11-20, 2023 | 25 | 2023 |
| CPDG: a contrastive pre-training method for dynamic graph neural networks Y Bei, H Xu, S Zhou, H Chi, H Wang, M Zhang, Z Li, J Bu 2024 IEEE 40th International Conference on Data Engineering (ICDE), 1199-1212, 2024 | 15* | 2024 |
| Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction Y Bei, H Chen, S Chen, X Huang, S Zhou, F Huang CIKM 2023, 3748-3752, 2023 | 11 | 2023 |
| Graph Cross-Correlated Network for Recommendation H Chen, Y Bei, W Huang, S Chen, F Huang, X Huang IEEE Transactions on Knowledge and Data Engineering, 2024 | 9* | 2024 |
| Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks Y Zhang, Y Bei, H Chen, Q Shen, Z Yuan, H Gong, S Wang, F Huang, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 9 | 2024 |
| A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models Q Zhang, S Chen, Y Bei, Z Yuan, H Zhou, Z Hong, J Dong, H Chen, ... arXiv preprint arXiv:2501.13958, 2025 | 8 | 2025 |
| Modeling Spatiotemporal Periodicity and Collaborative Signal for Local-Life Service Recommendation H Chi, H Xu, M Liu, Y Bei, S Zhou, D Liu, M Zhang KDAH Workshop at CIKM 2023, 2023 | 6 | 2023 |
| Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering Y Zhang, Y Bei, S Yang, H Chen, Z Li, L Chen, F Huang IWLKG Workshop at ICDM 2023, 528-532, 2023 | 4 | 2023 |
| 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 | 3 | 2025 |
| Revisiting the message passing in heterophilous graph neural networks Z Zheng, Y Bei, S Zhou, Y Ma, M Gu, H Xu, C Lai, J Chen, J Bu arXiv preprint arXiv:2405.17768, 2024 | 3 | 2024 |
| Feedback Reciprocal Graph Collaborative Filtering W Chen, Y Bei, Q Shen, H Chen, X Huang, F Huang Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 2 | 2024 |
| Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination R Liu, H Chen, Y Bei, Q Shen, F Zhong, S Wang, J Wang The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 2 | 2024 |
| CLR-Bench: Evaluating Large Language Models in College-level Reasoning J Dong, Z Hong, Y Bei, F Huang, X Wang, X Huang arXiv preprint arXiv:2410.17558, 2024 | 1 | 2024 |
| Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection Y Bei, S Zhou, J Shi, Y Ma, H Wang, J Bu arXiv preprint arXiv:2404.16366, 2024 | 1 | 2024 |
| Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification Y Bei, W Chen, H Chen, S Zhou, C Yang, J Fan, L Huang, J Bu KDD 2025, 2025 | | 2025 |
| FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation R Liu, H Chen, Y Bei, Z Zhou, L Chen, Q Shen, F Huang, F Karray, ... arXiv preprint arXiv:2502.16924, 2025 | | 2025 |
Hao CHEN 陈昊City University of Macau, Previous PolyU HK, Previous TencentVerified email at cityu.edu.mo
