Rui Bing

17 papers A* 1A 1Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
DAWN: Dimension-aware graph contrastive learning for few-shot dissolved gas analysis.
Expert Syst. Appl.
Jiyuan Sun, Huifang Ma, Shuai Yang, Rui Bing, Zhixin Li
2026 J jnl
Feature structure co-optimized augmented network for graph anomaly detection.
Inf. Process. Manag.
Yingyue Zhang, Huifang Ma, Rui Bing, Meihuizi Jia, Xiaofei Wang
2026 A* conf
Topology-Enhanced and Label Correlation-Aware Model for Protein-Protein Interaction Prediction.
AAAI
Bin Deng, Huifang Ma, Ruijia Zhang, Meihuizi Jia, Rui Bing
2025 J jnl
An Efficient Multi-View Heterogeneous Hypergraph Convolutional Network for Heterogeneous Information Network Representation Learning.
IEEE Trans. Big Data
Rui Bing, Guan Yuan, Yanmei Zhang, Senzhang Wang, Bohan Li, Yong Zhou
2025 J jnl
Automated message selection for robust Heterogeneous Graph Contrastive Learning.
Knowl. Based Syst.
Rui Bing, Guan Yuan, Yanmei Zhang, Yong Zhou, Qiuyan Yan
2025 J jnl
Heterogeneous Graph Structure Learning for Experts Selection in Academic Evaluation.
IEEE Trans. Comput. Soc. Syst.
Chuanbin Liu, Rui Bing, Xi Xi, Wei Dai, Guan Yuan
2025 J jnl
Multibehavior Intent Disentangled Learning for Fine-Grained Interest Discovery in Recommendation.
IEEE Trans. Comput. Soc. Syst.
Yuqing Du, Guan Yuan, Guixian Zhang, Yanmei Zhang, Rui Bing, Xiao Liu
2025 J jnl
Periodicity aware spatial-temporal adaptive hypergraph neural network for traffic forecasting.
GeoInformatica
Wenzhu Zhao, Guan Yuan, Rui Bing, Ruidong Lu, Yudong Shen
2024 — conf
Automated Modeling of Influence Diversity with Graph Convolutional Network for Social Recommendation.
APWeb/WAIM (2)
Rui Bing, Guan Yuan, Zhuo Cai, Bohan Li, Yong Zhou
2024 — conf
GraphKAN: An Efficient Graph Kolmogorov Arnold Networks for Traffic Forecasting.
SmartCity
Wenzhu Zhao, Guan Yuan, Rui Bing, Xiao Liu, Guixian Zhang
2024 — conf
Multi-view Graph Neural Network for Fair Representation Learning.
APWeb/WAIM (3)
Guixian Zhang, Guan Yuan, Debo Cheng, Ludan He, Rui Bing, Jiuyong Li, Shichao Zhang
2024 A conf
When Skeleton Meets Motion: Adaptive Multimodal Graph Representation Fusion for Action Recognition.
ICME
Xiao Liu, Guan Yuan, Rui Bing, Zhuo Cai, Shengshen Fu, Yonghao Yu
2023 — conf
All You See Is the Tip of the Iceberg: Distilling Latent Interactions Can Help You Find Treasures.
ICONIP (14)
Zhuo Cai, Guan Yuan, Xiaobao Zhuang, Xiao Liu, Rui Bing, Shoujin Wang
2023 J jnl
Heterogeneous graph neural networks analysis: a survey of techniques, evaluations and applications.
Artif. Intell. Rev.
Rui Bing, Guan Yuan, Mu Zhu, Fanrong Meng, Huifang Ma, Shaojie Qiao
2023 J jnl
Multi-view Contrastive Enhanced Heterogeneous Graph Structure Learning.
Int. J. Softw. Informatics
Rui Bing, Guan Yuan, Fanrong Meng, Senzhang Wang, Shaojie Qiao, Zhixiao Wang
2022 J jnl
FG-CF: Friends-aware graph collaborative filtering for POI recommendation.
Neurocomputing
Zhuo Cai, Guan Yuan, Shaojie Qiao, Song Qu, Yanmei Zhang, Rui Bing
2019 J jnl
HcRPC: Highly Compact Reachability Preserving Graph Compression With Corrections.
IEEE Access
Rui Bing, Huifang Ma, Xiangchun He, Zhixin Li, Lijun Guo