Neuro-symbolic embedding for short and effective feature selection via autoregressive generation N Gong, W Ying, D Wang, Y Fu arXiv preprint arXiv:2404.17157, 2024 | 10 | 2024 |
Evolutionary Large Language Model for Automated Feature Transformation N Gong, CK Reddy, W Ying, Y Fu arXiv preprint arXiv:2405.16203, 2024 | 6 | 2024 |
Learning long-form video prior via generative pre-training J Xie, J Feng, Z Tian, KQ Lin, Y Huang, X Xia, N Gong, X Zuo, J Yang, ... arXiv preprint arXiv:2404.15909, 2024 | 3* | 2024 |
A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective W Ying, C Wei, N Gong, X Wang, H Bai, AV Malarkkan, S Dong, D Wang, ... arXiv preprint arXiv:2502.08828, 2025 | | 2025 |
Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation D Wang, Y Huang, W Ying, H Bai, N Gong, X Wang, S Dong, T Zhe, K Liu, ... arXiv preprint arXiv:2501.10555, 2025 | | 2025 |
Distribution Shift Aware Neural Feature Transformation W Ying, N Gong, D Wang, P Wang, X Wang, CK Reddy, Y Fu | | |
GCNFT: Graph Convolutional Networks Aware Generative Feature Transformation W Ying, N Gong, H Bai, Y Fu | | |
Privacy Preserving Generative Feature Transformation H Bai, W Ying, N Gong, X Wang, H Liu, Y Fu | | |