Hangyuan Du

According to our database, Hangyuan Du authored at least 29 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Stability-aware robust deep graph matching with outliers.

Yu Xie, Yuan Li, Zhiqiang Wang, Hangyuan Du, Ming Li

Appl. Soft Comput., 2026

CauVQ: Causal Vector Quantization for Graph OOD Generalization.

Weihong Zhang, Liang Bai, Hangyuan Du, Xian Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

SSHPool: The Separated Subgraph-based Hierarchical Pooling.

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

GCIB: Causal Intervention Guided Graph Information Bottleneck Framework.

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A motif based hypergraph multi-level semantic encoding framework for social recommender systems.

Hangyuan Du, Wenjian Wang, Liang Bai, Lu Bai, Jiye Liang

Signal Process., 2025

Learning robust MLPs on graphs via cross-layer distillation from a causal perspective.

Hangyuan Du, Wenjian Wang, Weihong Zhang, Dengke Su, Liang Bai, Lu Bai, Jiye Liang

Pattern Recognit., 2025

A Graph Contrastive Recommendation Model Based on Dual-channel Data Augmentation.

Hangyuan Du, Liting Ma, Liang Bai, Lu Bai, Wenjian Wang

Proceedings of the International Joint Conference on Neural Networks, 2025

Enhancing Out-of-distribution Generalization for Graph Learning with Causal Information Bottleneck.

Hangyuan Du, Shuaijun Li, Liang Bai, Lu Bai, Wenjian Wang

Proceedings of the International Joint Conference on Neural Networks, 2025

An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection.

Zhehan Zhao, Lu Bai, Ming Li, Lixin Cui, Hangyuan Du, Yue Wang, Edwin R. Hancock

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification.

Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification.

Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint.

Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

AKBR: Learning Adaptive Kernel-based Representations for Graph Classification.

Lu Bai, Feifei Qian, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Contrastive Anomalous User Detection in Recommender Systems via Multi-Semantic Paths.

Hangyuan Du, Liu Yang, Liang Bai, Gaoxia Jiang, Lu Bai, Wenjian Wang

Proceedings of the IEEE International Conference on Big Data, 2025

CGFNet: Frequency-Domain Causal Discovery and Dual-Path Spectral Filtering for Wildfire Prediction.

Hangyuan Du, Dengke Su, Liang Bai, Gaoxia Jiang, Lu Bai, Wenjian Wang

Proceedings of the IEEE International Conference on Big Data, 2025

DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification.

Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Learning structure perception MLPs on graphs: a layer-wise graph knowledge distillation framework.

Hangyuan Du, Rong Yu, Liang Bai, Lu Bai, Wenjian Wang

Int. J. Mach. Learn. Cybern., October, 2024

SSHPool: The Separated Subgraph-based Hierarchical Pooling.

Zhuo Xu, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock

CoRR, 2024

AKBR: Learning Adaptive Kernel-based Representations for Graph Classification.

Feifei Qian, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock

CoRR, 2024

2023

Dual-channel embedding learning model for partially labeled attributed networks.

Hangyuan Du, Wenjian Wang, Liang Bai

Pattern Recognit., October, 2023

High-order graph attention network.

Liancheng He, Liang Bai, Xian Yang, Hangyuan Du, Jiye Liang

Inf. Sci., June, 2023

Incremental label propagation for data sets with imbalanced labels.

Yaoxing Li, Liang Bai, Zhuomin Liang, Hangyuan Du

Neurocomputing, 2023

Motif-SocialRec: A Multi-channel Interactive Semantic Extraction Model for Social Recommendation.

Hangyuan Du, Yuan Liu, Wenjian Wang, Liang Bai

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2020

New label propagation algorithm with pairwise constraints.

Liang Bai, Junbin Wang, Jiye Liang, Hangyuan Du

Pattern Recognit., 2020

2019

An Information-Theoretical Framework for Cluster Ensemble.

Liang Bai, Jiye Liang, Hangyuan Du, Yike Guo

IEEE Trans. Knowl. Data Eng., 2019

2018

A novel community detection algorithm based on simplification of complex networks.

Liang Bai, Jiye Liang, Hangyuan Du, Yike Guo

Knowl. Based Syst., 2018

2016

一种改进的粒子滤波算法及其在GPS/DR组合定位中的应用 (Improved Particle Filter and its Application in GPS/DR Integrated Positioning System).

Hangyuan Du, Wenjian Wang, Liang Bai

计算机科学, 2016

2015

Observation noise modeling based particle filter: An efficient algorithm for target tracking in glint noise environment.

Hangyuan Du, Wenjian Wang, Liang Bai

Neurocomputing, 2015