Yuhang Pei — accepted AI-conference papers

2026

CURE: Context-driven Diffusion with Progressive Expansion for Single Domain Generalization in Time Series Classification

Yuhang Pei, Fanchun Meng, Wenrui Wu, Tao Ren, Yifan Wang, Wei Ju +2

ICML 2026poster

This paper studies the problem of single domain generalization in time series classification, which aims to learn a generalized time series classification model using a single source domain. This problem is highly challenging due to unreliable supervision from domain scarcity. Although current appro…

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2025

LEAF: Large Language Diffusion Model for Time Series Forecasting

Yuhang Pei, Tao Ren, Yifan Wang, Zhipeng Sun, Wei Ju, Chong Chen +2

EMNLP 2025

This paper studies the problem of time series forecasting, which aims to generate future predictions given historical trajectories. Recent researchers have applied large language models (LLMs) into time series forecasting, which usually align the time series space with textual space and output futur

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