| 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 |
| Agentic information retrieval W Zhang, J Liao, N Li, K Du arXiv preprint arXiv:2410.09713, 2024 | 6 | 2024 |
| 4dbinfer: A 4d benchmarking toolbox for graph-centric predictive modeling on relational dbs M Wang, Q Gan, D Wipf, Z Cai, N Li, J Tang, Y Zhang, Z Zhang, Z Mao, ... arXiv preprint arXiv:2404.18209, 2024 | 3 | 2024 |
| ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction Y Zhang, N Li, Q Gan, W Zhang, D Wipf, M Wang Proceedings of the 33rd ACM International Conference on Information and …, 2024 | | 2024 |
| Improving Question Embeddings for Knowledge Tracing with Residual Graph Convolutional Networks ZL Wang, YS Liu, M Zhang, N Li, LX Xu, XF Wang, CL Li 2024 International Conference on Wavelet Analysis and Pattern Recognition …, 2024 | | 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 |
| 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs M Wang, Q Gan, D Wipf, Z Zhang, C Faloutsos, W Zhang, M Zhang, Z Cai, ... The Thirty-eight Conference on Neural Information Processing Systems …, 0 | | |
