Rui Bing

According to our database, Rui Bing authored at least 17 papers between 2019 and 2026.

Collaborative distances:

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

2026

Feature structure co-optimized augmented network for graph anomaly detection.

Yingyue Zhang, Huifang Ma, Rui Bing, Meihuizi Jia, Xiaofei Wang

Inf. Process. Manag., 2026

DAWN: Dimension-aware graph contrastive learning for few-shot dissolved gas analysis.

Jiyuan Sun, Huifang Ma, Shuai Yang, Rui Bing, Zhixin Li

Expert Syst. Appl., 2026

Topology-Enhanced and Label Correlation-Aware Model for Protein-Protein Interaction Prediction.

Bin Deng, Huifang Ma, Ruijia Zhang, Meihuizi Jia, Rui Bing

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Heterogeneous Graph Structure Learning for Experts Selection in Academic Evaluation.

Chuanbin Liu, Rui Bing, Xi Xi, Wei Dai, Guan Yuan

IEEE Trans. Comput. Soc. Syst., December, 2025

Multibehavior Intent Disentangled Learning for Fine-Grained Interest Discovery in Recommendation.

Yuqing Du, Guan Yuan, Guixian Zhang, Yanmei Zhang, Rui Bing, Xiao Liu

IEEE Trans. Comput. Soc. Syst., December, 2025

An Efficient Multi-View Heterogeneous Hypergraph Convolutional Network for Heterogeneous Information Network Representation Learning.

Rui Bing, Guan Yuan, Yanmei Zhang, Senzhang Wang, Bohan Li, Yong Zhou

IEEE Trans. Big Data, June, 2025

Periodicity aware spatial-temporal adaptive hypergraph neural network for traffic forecasting.

Wenzhu Zhao, Guan Yuan, Rui Bing, Ruidong Lu, Yudong Shen

GeoInformatica, April, 2025

Automated message selection for robust Heterogeneous Graph Contrastive Learning.

Rui Bing, Guan Yuan, Yanmei Zhang, Yong Zhou, Qiuyan Yan

Knowl. Based Syst., 2025

2024

GraphKAN: An Efficient Graph Kolmogorov Arnold Networks for Traffic Forecasting.

Wenzhu Zhao, Guan Yuan, Rui Bing, Xiao Liu, Guixian Zhang

Proceedings of the IEEE International Conference on Smart City, 2024

When Skeleton Meets Motion: Adaptive Multimodal Graph Representation Fusion for Action Recognition.

Xiao Liu, Guan Yuan, Rui Bing, Zhuo Cai, Shengshen Fu, Yonghao Yu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Multi-view Graph Neural Network for Fair Representation Learning.

Guixian Zhang, Guan Yuan, Debo Cheng, Ludan He, Rui Bing, Jiuyong Li, Shichao Zhang

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Automated Modeling of Influence Diversity with Graph Convolutional Network for Social Recommendation.

Rui Bing, Guan Yuan, Zhuo Cai, Bohan Li, Yong Zhou

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

Multi-view Contrastive Enhanced Heterogeneous Graph Structure Learning.

Rui Bing, Guan Yuan, Fanrong Meng, Senzhang Wang, Shaojie Qiao, Zhixiao Wang

Int. J. Softw. Informatics, 2023

Heterogeneous graph neural networks analysis: a survey of techniques, evaluations and applications.

Rui Bing, Guan Yuan, Mu Zhu, Fanrong Meng, Huifang Ma, Shaojie Qiao

Artif. Intell. Rev., 2023

All You See Is the Tip of the Iceberg: Distilling Latent Interactions Can Help You Find Treasures.

Zhuo Cai, Guan Yuan, Xiaobao Zhuang, Xiao Liu, Rui Bing, Shoujin Wang

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

2022

FG-CF: Friends-aware graph collaborative filtering for POI recommendation.

Zhuo Cai, Guan Yuan, Shaojie Qiao, Song Qu, Yanmei Zhang, Rui Bing

Neurocomputing, 2022

2019

HcRPC: Highly Compact Reachability Preserving Graph Compression With Corrections.

Rui Bing, Huifang Ma, Xiangchun He, Zhixin Li, Lijun Guo

IEEE Access, 2019