By Dr Xiaoyang Wang

Journal articles

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

Meng X; Wang Y; Li C; Wang X; Lyu M, 2018, 'Approach for uncertain multi-objective programming problems with correlated objective functions under CEV criterion', Journal of Systems Engineering and Electronics, 29, pp. 1197 - 1208, http://dx.doi.org/10.21629/JSEE.2018.06.08

Fu C; Wang Y; Gao Y; Wang X, 2017, 'Complex networks repair strategies: Dynamic models', Physica A Statistical Mechanics and Its Applications, 482, pp. 401 - 406, http://dx.doi.org/10.1016/j.physa.2017.04.118

Zhu C; Wang X; Zhu L, 2017, 'A novel method of evaluating key nodes in complex networks', Chaos Solitons and Fractals, 96, pp. 43 - 50, http://dx.doi.org/10.1016/j.chaos.2017.01.007

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 XY; Wang Y; Zhu CS; Zhu L; Fu CQ, 2017, 'Information radiation model with across neighbor spread abilities of nodes', Wuli Xuebao Acta Physica Sinica, 66, http://dx.doi.org/10.7498/aps.66.038901

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

Wang X; Wang Y; Zhu L; Li C, 2016, 'A novel approach to characterize information radiation in complex networks', Physica A Statistical Mechanics and Its Applications, 452, pp. 94 - 105, http://dx.doi.org/10.1016/j.physa.2016.01.076

Wang X; Wang Y; Zhu L, 2016, 'A model of safety information radiation of aviation maintenance applied complex networks', Harbin Gongye Daxue Xuebao Journal of Harbin Institute of Technology, 48, pp. 166 - 171, http://dx.doi.org/10.11918/j.issn.0367-6234.2016.05.027

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

Liu X; Chen Y; Li F; Wang X; Hu H; Zhang Y, 2025, 'Masked Graph Distance Network for Accurate Subgraph Similarity Computation', in Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management, pp. 1903 - 1913, http://dx.doi.org/10.1145/3746252.3761209

Zhai Z; Sima Q; Wang X; Zhang W, 2025, 'SGPT: Few-Shot Prompt Tuning for Signed Graphs', in Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management, pp. 4045 - 4055, http://dx.doi.org/10.1145/3746252.3761079

Wang J; Wu Y; Wang X; Chen C; Zhang Y; Qin L, 2025, 'Effective Influence Maximization with Priority', in Www 2025 Proceedings of the ACM Web Conference, pp. 4673 - 4683, http://dx.doi.org/10.1145/3696410.3714888

Tan X; Wang X; Liu Q; Xu X; Yuan X; Zhang W, 2025, 'Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning', in Www 2025 Proceedings of the ACM Web Conference, pp. 3505 - 3522, http://dx.doi.org/10.1145/3696410.3714892

Zhu Q; Zhang L; Xu Q; Liu K; Long C; Wang X, 2025, 'HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning', in Wsdm 2025 Proceedings of the 18th ACM International Conference on Web Search and Data Mining, pp. 318 - 326, http://dx.doi.org/10.1145/3701551.3703511

Li F; Wang X; Cheng D; Chen C; Zhang Y; Lin X, 2025, 'Efficient Dynamic Attributed Graph Generation', in Proceedings International Conference on Data Engineering, pp. 1415 - 1428, http://dx.doi.org/10.1109/ICDE65448.2025.00110

Xiang S; Xu C; Cheng D; Wang X; Zhang Y, 2025, 'Efficient Learning-Based Graph Simulation for Temporal Graphs', in Proceedings International Conference on Data Engineering, pp. 251 - 264, http://dx.doi.org/10.1109/ICDE65448.2025.00026

Tang Z; Wu Y; Zai X; Chen C; Wang X; Zhang Y, 2025, 'Efficient Temporal Simple Path Graph Generation', in Proceedings International Conference on Data Engineering, pp. 3589 - 3601, http://dx.doi.org/10.1109/ICDE65448.2025.00268

Qiu H; Sun R; Chen C; Wang X, 2025, 'Enhance Stability of Network by Edge Anchor', in Proceedings International Conference on Data Engineering, pp. 3384 - 3396, http://dx.doi.org/10.1109/ICDE65448.2025.00253

Tang Y; Wang J; Chen C; Wang X; Zhang W; Zhang Y, 2025, 'Mitigate the Damage of Rumor on Susceptible Group', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 389 - 402, http://dx.doi.org/10.1007/978-981-96-1242-0_29

Li F; Wang G; Chu H; Cheng D; Wang X, 2025, 'PCAN: A Pandemic-Compatible Attentive Neural Network for Retail Sales Forecasting', in Ijcai International Joint Conference on Artificial Intelligence, pp. 9232 - 9240, http://dx.doi.org/10.24963/ijcai.2025/1026

Zhao G; Wen D; Wang X; Wang K; Lin X, 2025, 'Preserving K-Connectivity in Dynamic Graphs', in Proceedings International Conference on Data Engineering, pp. 156 - 169, http://dx.doi.org/10.1109/ICDE65448.2025.00019

Gu Y; Yu J; Li Y; Xie P; Wang X; Chen C, 2025, 'RPDN: An Effective Rating Pollution Attacks Detection Framework for Recommendation Systems', in Lecture Notes in Computer Science, pp. 368 - 379, http://dx.doi.org/10.1007/978-981-96-8180-8_29

Ding Z; Chen Y; Wang H; Wang X; Zhang W; Zhang Y, 2025, 'TIformer: A Transformer-Based Framework for Time-Series Forecasting with Missing Data', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 71 - 84, http://dx.doi.org/10.1007/978-981-96-1242-0_6

Luo Q; Zhang W; Yang Z; Wen D; Wang X; Yu D; Lin X, 2024, 'Hierarchical Structure Construction on Hypergraphs', in International Conference on Information and Knowledge Management Proceedings, pp. 1597 - 1606, 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 International Conference on Information and Knowledge Management Proceedings, pp. 334 - 343, 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

Zheng J; Meng F; Wang Y; Wang X; Wang S; Ma Y; Hao Z, 2024, 'Hybrid Regret Minimization: A Submodular Approach (Extended Abstract)', in Proceedings International Conference on Data Engineering, pp. 5701 - 5702, http://dx.doi.org/10.1109/ICDE60146.2024.00482

Li F; Wang X; Cheng D; Zhang W; Zhang Y; Lin X, 2024, 'Hypergraph Self-supervised Learning with Sampling-efficient Signals', in Ijcai International Joint Conference on Artificial Intelligence, pp. 4398 - 4406

Wang H; Yu J; Wang X; Chen C; Zhang W; Lin X, 2024, 'Neural Similarity Search on Supergraph Containment (Extended Abstract)', in Proceedings International Conference on Data Engineering, pp. 5709 - 5710, http://dx.doi.org/10.1109/ICDE60146.2024.00486

Chen K; Wen D; Zhang W; Zhang Y; Wang X; Lin X, 2024, 'Querying Structural Diversity in Streaming Graphs', in Proceedings of the VLDB Endowment, pp. 1034 - 1046, http://dx.doi.org/10.14778/3641204.3641213

Tan X; Qing S; Qian J; Wu Y; Zhang W; Chen C; Wang X, 2023, 'Higher-Order Peak Decomposition', in International Conference on Information and Knowledge Management Proceedings, pp. 4310 - 4314, http://dx.doi.org/10.1145/3583780.3615209

Yu J; Wang H; Wang X; Li Z; Qin L; Zhang W; Liao J; Zhang Y, 2023, 'Group-based Fraud Detection Network on e-Commerce Platforms', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 5463 - 5475, http://dx.doi.org/10.1145/3580305.3599836

Zhang L; Wu Y; Wang J; Liu S; Chen C; Wang X, 2023, 'Efficient Algorithm for Maximizing Betweenness Centrality in Large Networks', in Proceedings 2023 IEEE International Conference on High Performance Computing and Communications Data Science and Systems Smart City and Dependability in Sensor Cloud and Big Data Systems and Application Hpcc Dss Smartcity Dependsys 2023, pp. 647 - 654, http://dx.doi.org/10.1109/HPCC-DSS-SmartCity-DependSys60770.2023.00093

Zhang W; Yang Z; Wen D; Wang X, 2023, 'Efficient Distributed Core Graph Decomposition', in IEEE International Conference on Data Mining Workshops Icdmw, pp. 1023 - 1031, http://dx.doi.org/10.1109/ICDMW60847.2023.00135

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