| Texygen: A benchmarking platform for text generation models Y Zhu, S Lu, L Zheng, J Guo, W Zhang, J Wang, Y Yu The 41st international ACM SIGIR conference on research & development in …, 2018 | 684 | 2018 |
| Deep recurrent survival analysis K Ren, J Qin, L Zheng, Z Yang, W Zhang, L Qiu, Y Yu Proceedings of the AAAI conference on artificial intelligence 33 (01), 4798-4805, 2019 | 165 | 2019 |
| Lifelong sequential modeling with personalized memorization for user response prediction K Ren, J Qin, Y Fang, W Zhang, L Zheng, W Bian, G Zhou, J Xu, Y Yu, ... Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 140 | 2019 |
| Deep landscape forecasting for real-time bidding advertising K Ren, J Qin, L Zheng, Z Yang, W Zhang, Y Yu Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 46 | 2019 |
| Dense representation learning and retrieval for tabular data prediction L Zheng, N Li, X Chen, Q Gan, W Zhang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 7 | 2023 |
| Search-based time-aware graph-enhanced recommendation with sequential behavior data L Zheng, H Chai, X Chen, J Jin, W Zhang, Y Yu, X Guo, C Ge, Z Feng ACM Transactions on Recommender Systems 2 (4), 1-29, 2024 | 2 | 2024 |
| Look into the Future: Deep Contextualized Sequential Recommendation L Zheng, N Li, Y Huang, R Xu, W Zhang, Y Yu arXiv preprint arXiv:2405.14359, 2024 | | 2024 |
| Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System L Zheng, N Li, W Zhang, Y Yu arXiv preprint arXiv:2404.15678, 2024 | | 2024 |