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Hangyuan Du

AAAI 2026×4ICML 2026×3理论与学习动力学效率与系统

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89

一作贡献75

核心/参与25

方向广度7

合作网络12

2 一作 · 7 篇 · AAAI 2026 / ICML 2026

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2026 顶会论文

7

一作ICML 2026Spotlight· Deep Learning / Graph Neural Networks

From Distribution to Geometry: Stable Graph Generalization via Invariant Barycenters

Hangyuan Du · Rong Wang · Weihong Zhang · Lu Bai · Liang Bai · Yu Xie · Wenjian Wang

理论与学习动力学OpenReview

作者位次 #6/7ICML 2026Poster· Deep Learning / Graph Neural Networks

SFCLTA: Spectral Fusion Contrastive Learning with Topology-Adaptive Graph Augmentation

Zhuo Xu · Lu Bai · Jincheng Li · Lixin Cui · Ming Li · Hangyuan Du · Yue Wang

作者位次 #5/7ICML 2026Poster· Deep Learning / Graph Neural Networks

GI-GCN: Global Interacted Graph Convolutional Networks via Dominant Sets for Graph Classification

Lu Bai · Xinya Qin · Lixin Cui · Ming Li · Hangyuan Du · Ziyu Lyu · Xin Jin

一作AAAI 2026Poster· Artificial Intelligence

GCIB: Causal Intervention Guided Graph Information Bottleneck Framework

Hangyuan Du · Rong Wang · Lixin Cui · Gaoxia Jiang · Liang Bai · Wenjian Wang

作者位次 #5/8AAAI 2026Poster· Artificial Intelligence

LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation

Lin Du · Lu Bai · Jincheng Li · Lixin Cui · Hangyuan Du · Lichi Zhang · Yuting Chen · Zhao Li

效率与系统OpenReview

作者位次 #5/8AAAI 2026Poster· Artificial Intelligence

SSHPool: The Separated Subgraph-based Hierarchical Pooling

Zhuo Xu · Lu Bai · Lixin Cui · Ming Li · Hangyuan Du · Ziyu Lyu · Yue Wang · Edwin R. Hancock

作者位次 #3/4AAAI 2026Poster· Artificial Intelligence

CauVQ: Causal Vector Quantization for Graph OOD Generalization

Weihong Zhang · Liang Bai · Hangyuan Du · Xian Yang

效率与系统理论与学习动力学OpenReview

常见合作者

LBLu Bai×5 LCLixin Cui×5 LBLiang Bai×3 MLMing Li×3 RWRong Wang×2 WZWeihong Zhang×2 WWWenjian Wang×2 ZXZhuo Xu×2 JLJincheng Li×2 YWYue Wang×2 ZLZiyu Lyu×2 YXYu Xie