Fanchun Meng — 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…

Cited by 0 Source ↗Scholar ↗

2026

FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering

Haodong Zhang, Xinyue Wang, Tao Ren, Yifan Wang, Siyu Yi, Fanchun Meng +3

AAAI 2026technical

The widespread adoption of graph neural networks (GNNs) has brought increased attention to fairness issues related to sensitive attributes, such as gender and race, in practical scenarios. However, this concern remains largely unexplored in the context of graph clustering. Conventional fair graph cl

Cited by 0 Source ↗PDF ↗Scholar ↗