| Autofis: Automatic feature interaction selection in factorization models for click-through rate prediction B Liu, C Zhu, G Li, W Zhang, J Lai, R Tang, X He, Z Li, Y Yu proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 188 | 2020 |
| How can recommender systems benefit from large language models: A survey J Lin, X Dai, Y Xi, W Liu, B Chen, H Zhang, Y Liu, C Wu, X Li, C Zhu, ... arXiv preprint arXiv:2306.05817, 2023 | 79* | 2023 |
| Rella: Retrieval-enhanced large language models for lifelong sequential behavior comprehension in recommendation J Lin, R Shan, C Zhu, K Du, B Chen, S Quan, R Tang, Y Yu, W Zhang Proceedings of the ACM on Web Conference 2024, 3497-3508, 2024 | 42* | 2024 |
| Aim: automatic interaction machine for click-through rate prediction C Zhu, B Chen, W Zhang, J Lai, R Tang, X He, Z Li, Y Yu IEEE Transactions on Knowledge and Data Engineering 35 (4), 3389-3403, 2021 | 17 | 2021 |
| Inttower: the next generation of two-tower model for pre-ranking system X Li, B Chen, HF Guo, J Li, C Zhu, X Long, S Li, Y Wang, W Guo, L Mao, ... Proceedings of the 31st ACM International Conference on Information …, 2022 | 12 | 2022 |
| Combo-fashion: Fashion clothes matching CTR prediction with item history C Zhu, P Du, W Zhang, Y Yu, Y Cao Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 10 | 2022 |
| AutoGen: An automated dynamic model generation framework for recommender system C Zhu, B Chen, H Guo, H Xu, X Li, X Zhao, W Zhang, Y Yu, R Tang Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 5 | 2023 |
| User-tag profile modeling in recommendation system via contrast weighted tag masking C Zhu, P Du, X Zhu, W Zhang, Y Yu, Y Cao Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 5 | 2022 |
| DFFM: Domain Facilitated Feature Modeling for CTR Prediction W Guo, C Zhu, F Yan, B Chen, W Liu, H Guo, H Zheng, Y Liu, R Tang Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 4 | 2023 |
| Large-scale interactive recommendation with tree-structured reinforcement learning H Chen, C Zhu, R Tang, W Zhang, X He, Y Yu IEEE Transactions on Knowledge and Data Engineering 35 (4), 4018-4032, 2021 | 3 | 2021 |
| ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction H Wang, J Lin, X Li, B Chen, C Zhu, R Tang, W Zhang, Y Yu arXiv preprint arXiv:2310.19453, 2023 | 2 | 2023 |
| QA4PRF: A question answering based framework for pseudo relevance feedback H Ma, J Hou, C Zhu, W Zhang, R Tang, J Lai, J Zhu, X He, Y Yu IEEE Access 9, 139303-139314, 2021 | 2 | 2021 |
| Vector Quantization for Recommender Systems: A Review and Outlook Q Liu, X Dong, J Xiao, N Chen, H Hu, J Zhu, C Zhu, T Sakai, XM Wu arXiv preprint arXiv:2405.03110, 2024 | 1 | 2024 |
| FLIP: Towards Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction H Wang, J Lin, X Li, B Chen, C Zhu, R Tang, W Zhang, Y Yu arXiv e-prints, arXiv: 2310.19453, 2023 | 1 | 2023 |
| A Feature-Based Coalition Game Framework with Privileged Knowledge Transfer for User-tag Profile Modeling X Zhu, P Du, S Shao, C Zhu, W Zhang, Y Wang, Y Cao Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
