Hangyuan Du - RankMe

30 papers A* 10B 4Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	CauVQ: Causal Vector Quantization for Graph OOD Generalization. AAAI Weihong Zhang, Liang Bai, Hangyuan Du, Xian Yang
2026	A*	`conf`	GCIB: Causal Intervention Guided Graph Information Bottleneck Framework. AAAI Hangyuan Du, Rong Wang, Lixin Cui, Gaoxia Jiang, Liang Bai, Wenjian Wang
2026	A*	`conf`	LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation. AAAI Lin Du, Lu Bai, Jincheng Li, Lixin Cui, Hangyuan Du, Lichi Zhang, Yuting Chen, Zhao Li
2026	A*	`conf`	SSHPool: The Separated Subgraph-based Hierarchical Pooling. AAAI Zhuo Xu, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Ziyu Lyu, Yue Wang, Edwin R. Hancock
2026	J	`jnl`	Stability-aware robust deep graph matching with outliers. Appl. Soft Comput. Yu Xie, Yuan Li, Zhiqiang Wang, Hangyuan Du, Ming Li
2025	B	`conf`	A Graph Contrastive Recommendation Model Based on Dual-channel Data Augmentation. IJCNN Hangyuan Du, Liting Ma, Liang Bai, Lu Bai, Wenjian Wang
2025	J	`jnl`	A motif based hypergraph multi-level semantic encoding framework for social recommender systems. Signal Process. Hangyuan Du, Wenjian Wang, Liang Bai, Lu Bai, Jiye Liang
2025	A*	`conf`	AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. IJCAI Lu Bai, Feifei Qian, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025	A*	`conf`	An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection. IJCAI Zhehan Zhao, Lu Bai, Ming Li, Lixin Cui, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025	B	`conf`	CGFNet: Frequency-Domain Causal Discovery and Dual-Path Spectral Filtering for Wildfire Prediction. IEEE Big Data Hangyuan Du, Dengke Su, Liang Bai, Gaoxia Jiang, Lu Bai, Wenjian Wang
2025	B	`conf`	Contrastive Anomalous User Detection in Recommender Systems via Multi-Semantic Paths. IEEE Big Data Hangyuan Du, Liu Yang, Liang Bai, Gaoxia Jiang, Lu Bai, Wenjian Wang
2025	A*	`conf`	DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification. AAAI Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock
2025	A*	`conf`	DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification. IJCAI Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock
2025	B	`conf`	Enhancing Out-of-distribution Generalization for Graph Learning with Causal Information Bottleneck. IJCNN Hangyuan Du, Shuaijun Li, Liang Bai, Lu Bai, Wenjian Wang
2025	A*	`conf`	Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint. IJCAI Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025	A*	`conf`	HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification. IJCAI Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025	J	`jnl`	LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation. CoRR Lin Du, Lu Bai, Jincheng Li, Lixin Cui, Hangyuan Du, Lichi Zhang, Yuting Chen, Zhao Li
2025	J	`jnl`	Learning robust MLPs on graphs via cross-layer distillation from a causal perspective. Pattern Recognit. Hangyuan Du, Wenjian Wang, Weihong Zhang, Dengke Su, Liang Bai, Lu Bai, Jiye Liang
2024	J	`jnl`	AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. CoRR Feifei Qian, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock
2024	J	`jnl`	Learning structure perception MLPs on graphs: a layer-wise graph knowledge distillation framework. Int. J. Mach. Learn. Cybern. Hangyuan Du, Rong Yu, Liang Bai, Lu Bai, Wenjian Wang
2024	J	`jnl`	SSHPool: The Separated Subgraph-based Hierarchical Pooling. CoRR Zhuo Xu, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock
2023	J	`jnl`	Dual-channel embedding learning model for partially labeled attributed networks. Pattern Recognit. Hangyuan Du, Wenjian Wang, Liang Bai
2023	J	`jnl`	High-order graph attention network. Inf. Sci. Liancheng He, Liang Bai, Xian Yang, Hangyuan Du, Jiye Liang
2023	J	`jnl`	Incremental label propagation for data sets with imbalanced labels. Neurocomputing Yaoxing Li, Liang Bai, Zhuomin Liang, Hangyuan Du
2023	—	`conf`	Motif-SocialRec: A Multi-channel Interactive Semantic Extraction Model for Social Recommendation. ICONIP (2) Hangyuan Du, Yuan Liu, Wenjian Wang, Liang Bai
2020	J	`jnl`	New label propagation algorithm with pairwise constraints. Pattern Recognit. Liang Bai, Junbin Wang, Jiye Liang, Hangyuan Du
2019	J	`jnl`	An Information-Theoretical Framework for Cluster Ensemble. IEEE Trans. Knowl. Data Eng. Liang Bai, Jiye Liang, Hangyuan Du, Yike Guo
2018	J	`jnl`	A novel community detection algorithm based on simplification of complex networks. Knowl. Based Syst. Liang Bai, Jiye Liang, Hangyuan Du, Yike Guo
2016	J	`jnl`	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). 计算机科学 Hangyuan Du, Wenjian Wang, Liang Bai
2015	J	`jnl`	Observation noise modeling based particle filter: An efficient algorithm for target tracking in glint noise environment. Neurocomputing Hangyuan Du, Wenjian Wang, Liang Bai