| Towards foundation models for learning on tabular data H Zhang, X Wen, S Zheng, W Xu, J Bian arXiv preprint arXiv:2310.07338, 2023 | 17 | 2023 |
| From supervised to generative: A novel paradigm for tabular deep learning with large language models X Wen, H Zhang, S Zheng, W Xu, J Bian Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 7 | 2024 |
| NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time Series Pretraining C Lin, X Wen, W Cao, C Huang, J Bian, S Lin, Z Wu arXiv preprint arXiv:2310.07402, 2023 | 2 | 2023 |
| Large Language Model as a Universal Clinical Multi-task Decoder Y Wu, H Song, J Zhang, X Wen, S Zheng, J Bian arXiv preprint arXiv:2406.12738, 2024 | 1 | 2024 |
| ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons J Zhang, X Wen, Z Zhang, S Zheng, J Li, J Bian The Thirty-eight Conference on Neural Information Processing Systems …, 2024 | 1 | 2024 |
| ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting J Zhang, X Wen, S Zheng, J Li, J Bian arXiv preprint arXiv:2310.07446, 2023 | 1 | 2023 |
| Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models X Wen, S Zheng, Z Xu, Y Sun, J Bian arXiv preprint arXiv:2502.03147, 2025 | | 2025 |
| ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer J Zhang, S Zheng, X Wen, X Zhou, J Bian, J Li arXiv preprint arXiv:2411.01842, 2024 | | 2024 |
| Scaling Generative Tabular Learning for Large Language Models Y Sun, X Wen, S Zheng, X Jia, J Bian NeurIPS 2024 Third Table Representation Learning Workshop, 0 | | |
