By Dr Xiaoyang Wang

Book Chapters

Tang Z; Wang J; Wu Y; Wang X; Qin L; Zhang Y, 2024, 'Balanced Hop-Constrained Path Enumeration in Signed Directed Graphs', in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 315 - 328, http://dx.doi.org/10.1007/978-3-031-47843-7_22

Yin H; Wang K; Zhang W; Wen D; Wang X; Zhang Y, 2024, 'Discovering Densest Subgraph over Heterogeneous Information Networks', in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 341 - 355, http://dx.doi.org/10.1007/978-3-031-47843-7_24

Xu K; Fei Z; Yu J; Kong Y; Wang X; Zhang W, 2024, 'IFGNN: An Individual Fairness Awareness Model for Missing Sensitive Information Graphs', in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 287 - 300, http://dx.doi.org/10.1007/978-3-031-47843-7_20

Tan X; Guo C; Wang X; Zhang W; Chen C, 2024, 'Maximum Fairness-Aware (k, r)-Core Identification in Large Graphs', in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 273 - 286, http://dx.doi.org/10.1007/978-3-031-47843-7_19

Journal articles

Song S; Wang Y; Wang X; Lin C; Hu K, 2024, 'A deep learning-based approach to similarity calculation for UML use case models', Expert Systems with Applications, 251, http://dx.doi.org/10.1016/j.eswa.2024.123927

Zheng J; Meng F; Wang Y; Wang X; Wang S; Ma Y; Hao Z, 2024, 'Hybrid Regret Minimization: A Submodular Approach', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 3151 - 3165, http://dx.doi.org/10.1109/TKDE.2023.3328596

Gong X; Wang H; Wang X; Chen C; Zhang W; Zhang Y, 2024, 'Influence maximization on hypergraphs via multi-hop influence estimation', Information Processing and Management, 61, http://dx.doi.org/10.1016/j.ipm.2024.103683

Sun R; Wu Y; Wang X; Chen C; Zhang W; Lin X, 2024, 'Efficient Balanced Signed Biclique Search in Signed Bipartite Graphs', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 1069 - 1083, http://dx.doi.org/10.1109/TKDE.2023.3296721

Li F; Xu Z; Cheng D; Wang X, 2024, 'AdaRisk: Risk-Adaptive Deep Reinforcement Learning for Vulnerable Nodes Detection', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 5576 - 5590, http://dx.doi.org/10.1109/TKDE.2024.3409869

Wang H; Yu J; Wang X; Chen C; Zhang W; Lin X, 2024, 'Neural Similarity Search on Supergraph Containment', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 281 - 295, http://dx.doi.org/10.1109/TKDE.2023.3279920

Xiang F; Wang J; Wu Y; Wang X; Chen C; Zhang Y, 2024, 'Rumor blocking with pertinence set in large graphs', World Wide Web, 27, http://dx.doi.org/10.1007/s11280-024-01235-w

Yu J; Wang H; Wang X; Li Z; Qin L; Zhang W; Liao J; Zhang Y; Yang B, 2024, 'Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms', IEEE Transactions on Knowledge and Data Engineering, http://dx.doi.org/10.1109/TKDE.2024.3485127

Sun R; Wu Y; Wang X; Chen C; Zhang W; Lin X, 2023, 'Clique Identification in Signed Graphs: A Balance Theory Based Model', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 12513 - 12527, http://dx.doi.org/10.1109/TKDE.2023.3272636

Yu J; Zhang X; Wang H; Wang X; Zhang W; Zhang Y, 2023, 'FPGN: follower prediction framework for infectious disease prevention', World Wide Web, 26, pp. 3795 - 3814, http://dx.doi.org/10.1007/s11280-023-01205-8

Wang Y; Zhou A; Huang Q; Wang X; Jiang B, 2023, 'PAREI: A progressive approach for Web API recommendation by combining explicit and implicit information', Information and Software Technology, 162, http://dx.doi.org/10.1016/j.infsof.2023.107269

Zhao Y; Chen Z; Chen C; Wang X; Lin X; Zhang W, 2023, 'Finding the Maximum k-Balanced Biclique on Weighted Bipartite Graphs', IEEE Transactions on Knowledge and Data Engineering, PP, pp. 1 - 14, http://dx.doi.org/10.1109/tkde.2022.3206351

Zheng J; Ma W; Wang Y; Wang X, 2023, 'Continuous k-Regret Minimization Queries: A Dynamic Coreset Approach', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 5680 - 5694, http://dx.doi.org/10.1109/TKDE.2022.3166835

Liu Z; Qian P; Wang X; Zhuang Y; Qiu L; Wang X, 2023, 'Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 1296 - 1310, http://dx.doi.org/10.1109/TKDE.2021.3095196

Cheng D; Chen C; Wang X; Xiang S, 2023, 'Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 1460 - 1472, http://dx.doi.org/10.1109/TKDE.2021.3094549

Chen C; Wu Y; Sun R; Wang X, 2023, 'Maximum Signed O-Clique Identification in Large Signed Graphs', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 1791 - 1802, http://dx.doi.org/10.1109/TKDE.2021.3098423

Zhang X; Wang H; Yu J; Chen C; Wang X; Zhang W, 2023, 'Bipartite graph capsule network', World Wide Web, 26, pp. 421 - 440, http://dx.doi.org/10.1007/s11280-022-01009-2

Chen C; Zhu Q; Sun R; Wang X; Wu Y, 2023, 'Edge Manipulation Approaches for K-Core Minimization: Metrics and Analytics', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 390 - 403, http://dx.doi.org/10.1109/TKDE.2021.3085570

Sun R; Chen C; Wang X; Zhang Y; Wang X, 2022, 'Stable Community Detection in Signed Social Networks', IEEE Transactions on Knowledge and Data Engineering, 34, pp. 5051 - 5055, http://dx.doi.org/10.1109/TKDE.2020.3047224

Cheng D; Wang X; Zhang Y; Zhang L, 2022, 'Graph Neural Network for Fraud Detection via Spatial-Temporal Attention', IEEE Transactions on Knowledge and Data Engineering, 34, pp. 3800 - 3813, http://dx.doi.org/10.1109/TKDE.2020.3025588

Sun R; Chen C; Liu X; Xu S; Wang X; Lin X, 2022, 'Critical Nodes Identification in Large Networks: The Inclined and Detached Models', World Wide Web, 25, pp. 1315 - 1341, http://dx.doi.org/10.1007/s11280-022-01049-8

Chen C; Zhu Q; Wu Y; Sun R; Wang X; Liu X, 2022, 'Efficient critical relationships identification in bipartite networks', World Wide Web, 25, pp. 741 - 761, http://dx.doi.org/10.1007/s11280-021-00914-2

Zheng J; Dong Q; Wang X; Zhang Y; Ma W; Ma Y, 2022, 'Efficient processing of k-regret minimization queries with theoretical guarantees', Information Sciences, 586, pp. 99 - 118, http://dx.doi.org/10.1016/j.ins.2021.11.080

Chen C; Zhang M; Sun R; Wang X; Zhu W; Wang X, 2022, 'Locating pivotal connections: the K-Truss minimization and maximization problems', World Wide Web, 25, pp. 899 - 926, http://dx.doi.org/10.1007/s11280-021-00933-z

Zhang X; Wang H; Yu J; Chen C; Wang X; Zhang W, 2022, 'Polarity-based graph neural network for sign prediction in signed bipartite graphs', World Wide Web, 25, pp. 471 - 487, http://dx.doi.org/10.1007/s11280-022-01015-4

Wang H; Lian D; Liu W; Wen D; Chen C; Wang X, 2022, 'Powerful graph of graphs neural network for structured entity analysis', World Wide Web, 25, pp. 609 - 629, http://dx.doi.org/10.1007/s11280-021-00900-8

Sun R; Chen C; Wang X; Wu Y; Zhang M; Liu X, 2022, 'The art of characterization in large networks: Finding the critical attributes', World Wide Web, 25, pp. 655 - 677, http://dx.doi.org/10.1007/s11280-021-00904-4

Zheng J; Ma Y; Ma W; Wang Y; Wang X, 2022, 'Happiness Maximizing Sets under Group Fairness Constraints', Proceedings of the VLDB Endowment, 16, pp. 291 - 303, http://dx.doi.org/10.14778/3565816.3565830

Wang X; Zhou T; Wang X; Fang Y, 2022, 'Harshness-aware sentiment mining framework for product review[Formula presented]', Expert Systems with Applications, 187, http://dx.doi.org/10.1016/j.eswa.2021.115887

Liu X; Zhang M; Fu X; Chen C; Wang X; Wu Y, 2021, 'Efficient reachability queries in multi-relation graph: An index-based approach', Computers and Electrical Engineering, 96, http://dx.doi.org/10.1016/j.compeleceng.2021.107469

Liu X; Wang X, 2021, 'Cohesive subgraph identification in weighted bipartite graphs', Applied Sciences (Switzerland), 11, http://dx.doi.org/10.3390/app11199051

Wu Y; Zhao J; Sun R; Chen C; Wang X, 2021, 'Efficient Personalized Influential Community Search in Large Networks', Data Science and Engineering, 6, pp. 310 - 322, http://dx.doi.org/10.1007/s41019-021-00163-3

Yang J; Zhang W; Zhang Y; Wang X; Lin X, 2017, 'Categorical top-k spatial influence query', World Wide Web, 20, pp. 175 - 203, http://dx.doi.org/10.1007/s11280-016-0383-3

Wang X; Zhang Y; Zhang W; Lin X, 2017, 'Efficient Distance-Aware Influence Maximization in Geo-Social Networks', IEEE Transactions on Knowledge and Data Engineering, 29, pp. 599 - 612, http://dx.doi.org/10.1109/TKDE.2016.2633472

Wang X; Zhang Y; Zhang W; Lin X; Chen C, 2017, 'Bring Order into the Samples: A Novel Scalable Method for Influence Maximization', IEEE Transactions on Knowledge and Data Engineering, 29, pp. 243 - 256, http://dx.doi.org/10.1109/TKDE.2016.2624734

Wang X; Zhang Y; Zhang W; Lin X, 2016, 'Efficient identification of local keyword patterns in microblogging platforms', IEEE Transactions on Knowledge and Data Engineering, 28, pp. 2621 - 2634, http://dx.doi.org/10.1109/TKDE.2016.2578330

Ding L; Wang G; Xin J; Wang X; Huang S; Zhang R, 2013, 'ComMapReduce: An improvement of MapReduce with lightweight communication mechanisms', DATA & KNOWLEDGE ENGINEERING, 88, pp. 224 - 247, http://dx.doi.org/10.1016/j.datak.2013.04.004

Qiao B-Y; Wei Y; Wang X-Y; Ding L-L; Wang G-R, 2012, 'TDRM: A peer-to-peer-based taxonomy data ring model', Journal of Shanghai Jiaotong University (Science), 17, pp. 182 - 189, http://dx.doi.org/10.1007/s12204-012-1250-8

Conference Papers

Luo Q; Zhang W; Yang Z; Wen D; Wang X; Yu D; Lin X, 2024, 'Hierarchical Structure Construction on Hypergraphs', in Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, ACM, pp. 1597 - 1606, presented at CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management, http://dx.doi.org/10.1145/3627673.3679765

Chen Y; Wang X; Chen C, 2024, 'Hyperedge Importance Estimation via Identity-aware Hypergraph Attention Network', in Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, ACM, pp. 334 - 343, presented at CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management, http://dx.doi.org/10.1145/3627673.3679685

Qiu H; Sun R; Chen C; Wang X; Zhang Y, 2024, 'Critical Nodes Detection: Node Merging Approach', in WWW 2024 Companion - Companion Proceedings of the ACM Web Conference, pp. 863 - 866, http://dx.doi.org/10.1145/3589335.3651485

Wu Y; Wang J; Sun R; Chen C; Wang X; Zhang Y, 2024, 'Targeted Filter Bubbles Mitigating via Edges Insertion', in WWW 2024 Companion - Companion Proceedings of the ACM Web Conference, pp. 734 - 737, http://dx.doi.org/10.1145/3589335.3651566

Wang J; Wu Y; Wang X; Zhang Y; Lu Qin ; Zhang W; Lin X, 2024, 'Efficient Influence Minimization via Node Blocking', in Proceedings of the VLDB Endowment, pp. 2501 - 2513, http://dx.doi.org/10.14778/3675034.3675042

Wu Y; Sun R; Wang X; Wen D; Zhang Y; Qin L; Lin X, 2024, 'Efficient Maximal Frequent Group Enumeration in Temporal Bipartite Graphs', in Proceedings of the VLDB Endowment, pp. 3243 - 3255, http://dx.doi.org/10.14778/3681954.3681997

Wu Y; Sun R; Wang X; Zhang Y; Qin L; Zhang W; Lin X, 2024, 'Efficient Maximal Temporal Plex Enumeration', in Proceedings - International Conference on Data Engineering, pp. 3098 - 3110, http://dx.doi.org/10.1109/ICDE60146.2024.00240

Zhao Y; Chen Z; Chen C; Wang X; Lin X; Zhang W, 2024, 'Finding the Maximum k-Balanced Biclique on Weighted Bipartite Graphs (Extended abstract)', in Proceedings - International Conference on Data Engineering, pp. 5697 - 5698, http://dx.doi.org/10.1109/ICDE60146.2024.00480

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