| IA-GCN: Interactive Graph Convolutional Network for Recommendation Y Zhang, P Wang, X Zhao, H Qi, J He, J Jin, C Peng, Z Lin, J Shao arXiv preprint arXiv:2204.03827, 2022 | 10 | 2022 |
| Lightweight cross-lingual sentence representation learning Z Mao, P Gupta, W Pei, C Chu, M Jaggi, S Kurohashi Proceedings of the 59th Annual Meeting of the Association for Computational …, 2022 | 7 | 2022 |
| Dynamic Parameterized Network for CTR Prediction J Zhu, C Liu, P Wang, X Zhao, G Chen, J Jin, C Peng, Z Lin, J Shao arXiv preprint arXiv:2111.04983, 2021 | 3 | 2021 |
| Confidence Ranking for CTR Prediction J Zhu, C Liu, P Wang, X Zhao, Z Lin, J Shao Companion Proceedings of the ACM Web Conference 2023, 437-441, 2023/4/30, 2023 | 2 | 2023 |
| BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation Y Zhang, P Wang, C Liu, X Zhao, H Qi, J He, J Jin, C Peng, Z Lin, J Shao Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| Loss Harmonizing for Multi-Scenario CTR Prediction C Liu, L Shi, P Wang, F Teng, X Jiang, C Peng, Z Lin, J Shao Proceedings of the 17th ACM Conference on Recommender Systems, 195-199, 2023 | 1 | 2023 |
| PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising Serving H Xu, H Qi, K Wang, P Wang, G Zhang, C Liu, J Jin, X Zhao, C Peng, Z Lin, ... ECML-PKDD 2023, https://link.springer.com/chapter/10.100, 2023 | | 2023 |
