Xumeng Wen - RankMe

13 papers A* 3Journal 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Are Time-Series Foundation Models Deployment-Ready? A Systematic Study of Adversarial Robustness Across Domains. CoRR Jiawen Zhang, Zhenwei Zhang, Shun Zheng, Xumeng Wen, Jia Li, Jiang Bian
2025	J	`jnl`	Deep Self-Evolving Reasoning. CoRR Zihan Liu, Shun Zheng, Xumeng Wen, Yang Wang, Jiang Bian, Mao Yang
2025	J	`jnl`	Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs. CoRR Xumeng Wen, Zihan Liu, Shun Zheng, Zhijian Xu, Shengyu Ye, Zhirong Wu, Xiao Liang, Yang Wang, Junjie Li, Ziming Miao, Jiang Bian, Mao Yang
2025	J	`jnl`	Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models. CoRR Xumeng Wen, Shun Zheng, Zhen Xu, Yiming Sun, Jiang Bian
2024	A*	`conf`	ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer. NeurIPS Jiawen Zhang, Shun Zheng, Xumeng Wen, Xiaofang Zhou, Jiang Bian, Jia Li
2024	J	`jnl`	ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer. CoRR Jiawen Zhang, Shun Zheng, Xumeng Wen, Xiaofang Zhou, Jiang Bian, Jia Li
2024	A*	`conf`	From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models. KDD Xumeng Wen, Han Zhang, Shun Zheng, Wei Xu, Jiang Bian
2024	J	`jnl`	Large Language Model as a Universal Clinical Multi-task Decoder. CoRR Yujiang Wu, Hongjian Song, Jiawen Zhang, Xumeng Wen, Shun Zheng, Jiang Bian
2024	J	`jnl`	NuTime: Numerically Multi-Scaled Embedding for Large- Scale Time-Series Pretraining. Trans. Mach. Learn. Res. Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu
2024	A*	`conf`	ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons. NeurIPS Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li, Jiang Bian
2023	J	`jnl`	NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time Series Pretraining. CoRR Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu
2023	J	`jnl`	ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting. CoRR Jiawen Zhang, Xumeng Wen, Shun Zheng, Jia Li, Jiang Bian
2023	J	`jnl`	Towards Foundation Models for Learning on Tabular Data. CoRR Han Zhang, Xumeng Wen, Shun Zheng, Wei Xu, Jiang Bian