Xiaobin Rui - RankMe

44 papers A* 1A 1B 2Journal 38Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Category-aware dual channel graph neural networks for session-based recommendation. Knowl. Inf. Syst. Rui Wang, Xiaobin Rui, Zhixiao Wang
2026	J	`jnl`	Gated transformer network for multivariate security patch identification with mixture-of-experts. Inf. Softw. Technol. Jiajun Tong, Zhixiao Wang, Xiaobin Rui
2026	J	`jnl`	GraphSB: Boosting Imbalanced Node Classification on Graphs through Structural Balance. CoRR Zhixiao Wang, Chaofan Zhu, Qihan Feng, Jian Zhang, Xiaobin Rui, Philip S. Yu
2026	J	`jnl`	Leveraging syntactic dual-graph representations for security patch identification via structural latent alignment. J. Syst. Softw. Jiajun Tong, Zhixiao Wang, Xiaobin Rui
2026	J	`jnl`	Scalable Fair Influence Blocking Maximization via Approximately Monotonic Submodular Optimization. CoRR Qiangpeng Fang, Jilong Shi, Xiaobin Rui, Jian Zhang, Zhixiao Wang
2025	J	`jnl`	A Commit Classification Framework Incorporated With Prompt Tuning and External Knowledge. IET Softw. Jiajun Tong, Xiaobin Rui
2025	J	`jnl`	A General Concave Fairness Framework for Influence Maximization Based on Poverty Reward. ACM Trans. Knowl. Discov. Data Zhixiao Wang, Jiayu Zhao, Chengcheng Sun, Xiaobin Rui, Philip S. Yu
2025	J	`jnl`	A Scalable Algorithm for Fair Influence Maximization With Unbiased Estimator. IEEE Trans. Knowl. Data Eng. Xiaobin Rui, Zhixiao Wang, Hao Peng, Wei Chen, Philip S. Yu
2025	J	`jnl`	Adaptive influence maximization with general partial feedback. Expert Syst. Appl. Xiaobin Rui, Jiaxin Ji, Zhixiao Wang
2025	J	`jnl`	Efficient Approximation Algorithms for Fair Influence Maximization under Maximin Constraint. CoRR Xiaobin Rui, Zhixiao Wang, Chen Peng, Qiangpeng Fang, Wei Chen
2025	J	`jnl`	Higher-order link prediction via light hypergraph neural network and hybrid aggregator. Int. J. Mach. Learn. Cybern. Xiaobin Rui, Jiaxin Zhuang, Chengcheng Sun, Zhixiao Wang
2025	J	`jnl`	Time-Critical Adversarial Influence Blocking Maximization. CoRR Jilong Shi, Qiuyan Yan, Xiaobin Rui, Zhixiao Wang
2025	J	`jnl`	Trust enhanced POI recommendation with collaborative learning. Intell. Data Anal. Renhui Wu, Hui Xu, Xiaobin Rui, Zhixiao Wang
2024	J	`jnl`	A Weighted Symmetric Graph Embedding Approach for Link Prediction in Undirected Graphs. IEEE Trans. Cybern. Zhixiao Wang, Yahui Chai, Chengcheng Sun, Xiaobin Rui, Hao Mi, Xinyu Zhang, Philip S. Yu
2024	B	`conf`	Graph Link Prediction via Decay Coefficient based Proportional Aggregation and Hybrid Concatenation. IJCNN Jiaxin Zhuang, Yahui Chai, Xiaobin Rui, Zhixiao Wang
2024	J	`jnl`	Incorporating topic and property for knowledge base synchronization. Knowl. Inf. Syst. Jiajun Tong, Zhixiao Wang, Xiaobin Rui
2024	J	`jnl`	Influence maximization in social networks based on discrete harris hawks optimization algorithm. Computing Chencheng Fan, Zhixiao Wang, Jian Zhang, Jiayu Zhao, Xiaobin Rui
2024	J	`jnl`	LGAT: a light graph attention network focusing on message passing for semi-supervised node classification. Computing Chengcheng Sun, Fanrong Meng, Chenhao Li, Xiaobin Rui, Zhixiao Wang
2024	J	`jnl`	MGRF: Multi-Graph Recommendation Framework with Heterogeneous and Homogeneous Graph Iterative Fusion. Comput. Informatics Xiang Lin, Fangyu Han, Xiaobin Rui, Chengcheng Sun, Zhixiao Wang, Lijun Yan
2023	—	`conf`	A Graph Embedding Approach for Link Prediction via Triadic Closure Based Direct Aggregation and Weighted Concatenation. DASFAA (3) Yahui Chai, Xiaobin Rui, Jie Yang, Philip S. Yu, Zhixiao Wang
2023	J	`jnl`	A multi-task attention tree neural net for stance classification and rumor veracity detection. Appl. Intell. Na Bai, Fanrong Meng, Xiaobin Rui, Zhixiao Wang
2023	J	`jnl`	An in-depth study on key nodes in social networks. Intell. Data Anal. Chengcheng Sun, Zhixiao Wang, Xiaobin Rui, Philip S. Yu, Lichao Sun
2023	J	`jnl`	Attention-based graph neural networks: a survey. Artif. Intell. Rev. Chengcheng Sun, Chenhao Li, Xiang Lin, Tianji Zheng, Fanrong Meng, Xiaobin Rui, Zhixiao Wang
2023	J	`jnl`	Boosting Commit Classification with Contrastive Learning. CoRR Jiajun Tong, Zhixiao Wang, Xiaobin Rui
2023	—	`conf`	Fair Re-Ranking Recommendation Based on Debiased Multi-graph Representations. ADMA (1) Fangyu Han, Shumei Wang, Jiayu Zhao, Renhui Wu, Xiaobin Rui, Zhixiao Wang
2023	B	`conf`	Graph Neural Network with Virtual Edge Message Passing for Heterophilous Graphs. IJCNN Chengcheng Sun, Qiang Niu, Xiaobin Rui, Zhixiao Wang
2023	J	`jnl`	Incorprating Prompt tuning for Commit classification with prior Knowledge. CoRR Jiajun Tong, Zhixiao Wang, Xiaobin Rui
2023	A	`conf`	Scalable Adversarial Attack Algorithms on Influence Maximization. WSDM Lichao Sun, Xiaobin Rui, Wei Chen
2023	A*	`conf`	Scalable Fair Influence Maximization. NeurIPS Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen
2023	J	`jnl`	Scalable Fair Influence Maximization. CoRR Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen
2023	J	`jnl`	Triadic Closure Sensitive Influence Maximization. ACM Trans. Knowl. Discov. Data Jie Yang, Zhixiao Wang, Xiaobin Rui, Yahui Chai, Philip S. Yu, Lichao Sun
2022	J	`jnl`	A multi-model-based deep learning framework for short text multiclass classification with the imbalanced and extremely small data set. CoRR Jiajun Tong, Zhixiao Wang, Xiaobin Rui
2022	J	`jnl`	A topic-aware graph neural network model for knowledge base updating. CoRR Jiajun Tong, Zhixiao Wang, Xiaobin Rui
2022	J	`jnl`	Rumor detection based on a Source-Replies conversation Tree Convolutional Neural Net. Computing Na Bai, Fanrong Meng, Xiaobin Rui, Zhixiao Wang
2022	J	`jnl`	Scalable Adversarial Attack Algorithms on Influence Maximization. CoRR Lichao Sun, Xiaobin Rui, Wei Chen
2021	J	`jnl`	Dismantling Networks by Skeleton Extraction and Greedy Tree Breaking. IEEE Access Xiaobin Rui, Fanrong Meng, Yahui Chai, Zhixiao Wang, Philip S. Yu
2021	J	`jnl`	Localization of multiple diffusion sources based on overlapping community detection. Knowl. Based Syst. Zhixiao Wang, Chengcheng Sun, Xiaobin Rui, Philip S. Yu, Lichao Sun
2021	J	`jnl`	Rumour Detection Based on Graph Convolutional Neural Net. IEEE Access Na Bai, Fanrong Meng, Xiaobin Rui, Zhixiao Wang
2020	J	`jnl`	A neighborhood link sensitive dismantling method for social networks. J. Comput. Sci. Zhixiao Wang, Chengcheng Sun, Guan Yuan, Xiaobin Rui, Xiaodong Yang
2020	J	`jnl`	A neighbour scale fixed approach for influence maximization in social networks. Computing Xiaobin Rui, Xiaodong Yang, Jianping Fan, Zhixiao Wang
2020	J	`jnl`	Superspreaders and superblockers based community evolution tracking in dynamic social networks. Knowl. Based Syst. Zhiou Xu, Xiaobin Rui, Jing He, Zhixiao Wang, Tarik Hadzibeganovic
2019	J	`jnl`	A reversed node ranking approach for influence maximization in social networks. Appl. Intell. Xiaobin Rui, Fanrong Meng, Zhixiao Wang, Guan Yuan
2018	J	`jnl`	Coupled Node Similarity Learning for Community Detection in Attributed Networks. Entropy Fanrong Meng, Xiaobin Rui, Zhixiao Wang, Yan Xing, Longbing Cao
2018	J	`jnl`	Tracking the evolution of overlapping communities in dynamic social networks. Knowl. Based Syst. Zhixiao Wang, Zechao Li, Guan Yuan, Yunlian Sun, Xiaobin Rui, Xinguang Xiang