Wenrui Wu — 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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2026

PRISM: Partial-label Relational Inference with Spatial and Spectral Cues

Yiyang Gu, Wenrui Wu, Yifang Qin, Taian Guo, Tao Zhe, Jiaru Tang +8

ICLR 2026poster

In many real-world scenarios, precisely labeling graph data is costly or impractical, especially in domains like molecular biology or social networks, where annotation requires expert effort. This challenge motivates partial-label graph learning, where each graph is weakly annotated with a candidate…

Cited by 0 Source ↗Scholar ↗