Xumeng Wen

According to our database, Xumeng Wen authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models.

Xumeng Wen, Shun Zheng, Zhen Xu, Yiming Sun, Jiang Bian

CoRR, February, 2025

2024

NuTime: Numerically Multi-Scaled Embedding for Large- Scale Time-Series Pretraining.

Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu

Trans. Mach. Learn. Res., 2024

Large Language Model as a Universal Clinical Multi-task Decoder.

Yujiang Wu, Hongjian Song, Jiawen Zhang, Xumeng Wen, Shun Zheng, Jiang Bian

CoRR, 2024

ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer.

Jiawen Zhang, Shun Zheng, Xumeng Wen, Xiaofang Zhou, Jiang Bian, Jia Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons.

Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li, Jiang Bian

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models.

Xumeng Wen, Han Zhang, Shun Zheng, Wei Xu, Jiang Bian

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting.

Jiawen Zhang, Xumeng Wen, Shun Zheng, Jia Li, Jiang Bian

CoRR, 2023

Towards Foundation Models for Learning on Tabular Data.

Han Zhang, Xumeng Wen, Shun Zheng, Wei Xu, Jiang Bian

CoRR, 2023