Dr Xiaoyang Wang

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Xiaoyang Wang is a Senior Lecturer in the School of Computer Science and Engineering (CSE), UNSW. He received his bachelor and master degree in Computer Science at Northeastern University, China. He received his PhD at CSE UNSW.

Research Interests: Database, with a special focus on query processing and data mining on large scale graph, spatial and streaming data; Data-driven machine learning; Smart contract analysis on blockchain; Fintech and financial network analysis.

We are recruiting self-motivated PhD students. Send me an email with your CV if you would like to pursue PhD degree in the related fields.

Current undergraduate students or master by course students in UNSW are encourged to contact me if you are interested in research degrees (Master by research or PhD) or research projects (honors thesis project or master research project).

E-mail

xiaoyang.wang1@unsw.edu.au

Location

K17-501D

Book Chapters | 2024

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

Book Chapters | 2024

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

Book Chapters | 2024

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

Book Chapters | 2024

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
Journal articles | 2024

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

Journal articles | 2024

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

Journal articles | 2024

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

Journal articles | 2024

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

Journal articles | 2024

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

Journal articles | 2024

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

Journal articles | 2024

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

Journal articles | 2023

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

Journal articles | 2023

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

Journal articles | 2023

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

Journal articles | 2023

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

Journal articles | 2023

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

Journal articles | 2023

Tang L; Xie H; Wang X; Bie Z, 2023, 'Privacy-preserving knowledge sharing for few-shot building energy prediction: A federated learning approach', Applied Energy, 337, http://dx.doi.org/10.1016/j.apenergy.2023.120860

Journal articles | 2023

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

Journal articles | 2023

Wei J; Li J; Zhao J; Wang X, 2023, 'Hot Topics and Trends in Zero-Energy Building Research—A Bibliometrical Analysis Based on CiteSpace', Buildings, 13, http://dx.doi.org/10.3390/buildings13020479

Journal articles | 2023

Wei J; Wen J; Wang XY; Ma J; Chang CP, 2023, 'Green innovation, natural extreme events, and energy transition: Evidence from Asia-Pacific economies', Energy Economics, 121, http://dx.doi.org/10.1016/j.eneco.2023.106638

Journal articles | 2023

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

Journal articles | 2023

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

Journal articles | 2023

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

Journal articles | 2023

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

Journal articles | 2022

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

Journal articles | 2022

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

Journal articles | 2022

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

Journal articles | 2022

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

Journal articles | 2022

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

Journal articles | 2022

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

Journal articles | 2022

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

Journal articles | 2022

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

Journal articles | 2022

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

Journal articles | 2022

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

Journal articles | 2022

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

Journal articles | 2021

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

Journal articles | 2021

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

Journal articles | 2021

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

Journal articles | 2017

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

Journal articles | 2017

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

Journal articles | 2017

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

Journal articles | 2016

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

Journal articles | 2013

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

Journal articles | 2012

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 | 2024

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

Conference Papers | 2024

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

Conference Papers | 2024

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

Conference Papers | 2024

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

Conference Papers | 2024

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

Conference Papers | 2024

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

Conference Papers | 2024

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

Conference Papers | 2024

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

Conference Papers | 2024

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

Conference Papers | 2024

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

Conference Papers | 2024

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

Conference Papers | 2024

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

Conference Papers | 2023

Chen Y; Yu J; Sima Q; Wang J; Wu Y; Wang X, 2023, 'KGNIE: A Learning Method for Estimating Node Importance in Knowledge Graphs', 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. 615 - 622, http://dx.doi.org/10.1109/HPCC-DSS-SmartCity-DependSys60770.2023.00089

Conference Papers | 2023

Sun R; Chen C; Wang X; Zhang W; Zhang Y; Lin X, 2023, 'Efficient Maximum Signed Biclique Identification', in Proceedings - International Conference on Data Engineering, pp. 1313 - 1325, http://dx.doi.org/10.1109/ICDE55515.2023.00105

Conference Papers | 2023

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

Conference Papers | 2023

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

Conference Papers | 2023

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

Conference Papers | 2023

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

Conference Papers | 2023

Zhong J; Qian Y; Wang X; Zhao Y; Wu P; Chen C; Cai M, 2023, 'Mobile Charging Platform Improves Distribution System Resilience and Electric Vehicles Charging Service', in Proceedings - 2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems, ICPS 2023, http://dx.doi.org/10.1109/ICPS58381.2023.10128001

Conference Abstracts | 2022

Chen C; Wu Y; Sun R; Wang X, 2022, 'Maximum Signed theta-Clique Identification in Large Signed Graphs (Extended abstract)', in 2022 IEEE 38TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2022), IEEE COMPUTER SOC, ELECTR NETWORK, pp. 1493 - 1494, presented at 38th IEEE International Conference on Data Engineering (ICDE), ELECTR NETWORK, 09 May 2022 - 11 May 2022, http://dx.doi.org/10.1109/ICDE53745.2022.00123

Conference Abstracts | 2022

Cheng D; Chen C; Wang X; Xiang S, 2022, 'Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs (Extended abstract)', in 2022 IEEE 38TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2022), IEEE COMPUTER SOC, ELECTR NETWORK, pp. 1547 - 1548, presented at 38th IEEE International Conference on Data Engineering (ICDE), ELECTR NETWORK, 09 May 2022 - 11 May 2022, http://dx.doi.org/10.1109/ICDE53745.2022.00150

Conference Abstracts | 2022

Sun R; Chen C; Wang X; Wang X, 2022, 'Stable Community Detection in Signed Social Networks (Extended abstract)', in 2022 IEEE 38TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2022), IEEE COMPUTER SOC, ELECTR NETWORK, pp. 1495 - 1496, presented at 38th IEEE International Conference on Data Engineering (ICDE), ELECTR NETWORK, 09 May 2022 - 11 May 2022, http://dx.doi.org/10.1109/ICDE53745.2022.00124

Conference Papers | 2022

Sun R; Wu Y; Chen C; Wang X; Zhang W; Lin X, 2022, 'Maximal Balanced Signed Biclique Enumeration in Signed Bipartite Graphs', in Proceedings - International Conference on Data Engineering, pp. 1887 - 1899, http://dx.doi.org/10.1109/ICDE53745.2022.00187

Conference Papers | 2022

Sun R; Wu Y; Wang X, 2022, 'Diversified Top-𝑟 Community Search in Geo-Social Network: A K-Truss Based Model', Edinburgh, UK, presented at 25th International Conference on Extending Database Technology (EDBT 2022), Edinburgh, UK, 29 March 2022 - 01 April 2022, http://dx.doi.org/10.48786/edbt.2022.38

Conference Papers | 2022

Wu Y; Sun R; Chen C; Wang X; Fu X, 2022, 'Efficiently Answering Minimum Reachable Label Set Queries in Edge-Labeled Graphs', in International Conference on Information and Knowledge Management, Proceedings, pp. 4585 - 4589, http://dx.doi.org/10.1145/3511808.3557593

Conference Abstracts | 2022

Wu Y; Sun R; Chen C; Wang X, 2022, 'Efficient Attribute (α, β)-Core Detection in Large Bipartite Graphs (Student Abstract)', in Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, Vol. 36, pp. 13087 - 13088

Conference Papers | 2022

Xiang S; Cheng D; Zhang J; Ma Z; Wang X; Zhang Y, 2022, 'Efficient Learning-based Community-Preserving Graph Generation', in Proceedings - International Conference on Data Engineering, pp. 1982 - 1994, http://dx.doi.org/10.1109/ICDE53745.2022.00194

Conference Papers | 2021

Chen C; Liu X; Xu S; Zhang M; Wang X; Lin X, 2021, 'Critical Nodes Identification in Large Networks: An Inclination-Based Model', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 453 - 468, http://dx.doi.org/10.1007/978-3-030-90888-1_35

Conference Papers | 2021

Yu Y; Wen D; Zhang Y; Wang X; Zhang W; Lin X, 2021, 'Efficient matrix factorization on heterogeneous CPU-GPU Systems', in Proceedings - International Conference on Data Engineering, pp. 1871 - 1876, http://dx.doi.org/10.1109/ICDE51399.2021.00169

Conference Papers | 2020

Cheng D; Wang X; Zhang Y; Zhang L, 2020, 'Risk guarantee prediction in networked-loans', in IJCAI International Joint Conference on Artificial Intelligence, pp. 4483 - 4489

Conference Papers | 2020

Cheng D; Yang F; Wang X; Zhang Y; Zhang L, 2020, 'Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments', in SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2221 - 2230, http://dx.doi.org/10.1145/3397271.3401427

Conference Papers | 2020

Hao Y; Zhang M; Wang X; Chen C, 2020, 'Cohesive Subgraph Detection in Large Bipartite Networks', in ACM International Conference Proceeding Series, http://dx.doi.org/10.1145/3400903.3400925

Conference Papers | 2020

Sun R; Zhu Q; Chen C; Wang X; Zhang Y; Wang X, 2020, 'Discovering cliques in signed networks based on balance theory', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 666 - 674, http://dx.doi.org/10.1007/978-3-030-59416-9_43

Conference Papers | 2020

Wu Y; Sun R; Chen C; Wang X; Zhu Q, 2020, 'Maximum Signed (k,r)-Truss Identification in Signed Networks', in International Conference on Information and Knowledge Management, Proceedings, pp. 3337 - 3340, http://dx.doi.org/10.1145/3340531.3417457

Conference Papers | 2020

Wu Y; Zhao J; Sun R; Chen C; Wang X, 2020, 'Efficient Personalized Influential Community Search in Large Networks', Tianjin, China, presented at APWeb-WAIM 2020, Tianjin, China, 18 September 2020 - 20 September 2020, http://dx.doi.org/10.1007/978-3-030-60259-8_7

Conference Papers | 2020

Xu Y; Sun R; Wu Y; Chen C; Wang X, 2020, 'Querying influential maximum connected community in large graphs', in Proceedings - 2020 IEEE 7th International Conference on Data Science and Advanced Analytics, DSAA 2020, pp. 757 - 758, http://dx.doi.org/10.1109/DSAA49011.2020.00101

Conference Papers | 2020

Yang H; Wang K; Sun R; Wang X, 2020, 'Fast Algorithms for Spatial K-Core Discovery and Maintenance', in Proceedings - 2020 IEEE 22nd International Conference on High Performance Computing and Communications, IEEE 18th International Conference on Smart City and IEEE 6th International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020, pp. 841 - 846, http://dx.doi.org/10.1109/HPCC-SmartCity-DSS50907.2020.00111

Conference Papers | 2020

Zhao J; Sun R; Zhu Q; Wang X; Chen C, 2020, 'Community Identification in Signed Networks: A K-Truss Based Model', in International Conference on Information and Knowledge Management, Proceedings, pp. 2321 - 2324, http://dx.doi.org/10.1145/3340531.3412117

Conference Papers | 2020

Zhu Q; Zheng J; Yang H; Chen C; Wang X; Zhang Y, 2020, 'Hurricane in Bipartite Graphs: The Lethal Nodes of Butterflies', in ACM International Conference Proceeding Series, http://dx.doi.org/10.1145/3400903.3400916

Conference Proceedings (Editor of) | 2020

Li G; Shen HT; Yuan Y; Wang X; Liu H; Zhao X, (eds.), 2020, 'Knowledge Science, Engineering and Management - 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings, Part I.', presented at Knowledge Science, Engineering and Management - 13th International Conference, KSEM 2020, 28 August 2020 - 30 April 2020, http://dx.doi.org/10.1007/978-3-030-55130-8

Conference Proceedings (Editor of) | 2020

Li G; Shen HT; Yuan Y; Wang X; Liu H; Zhao X, (eds.), 2020, 'Knowledge Science, Engineering and Management - 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings, Part II.', presented at Knowledge Science, Engineering and Management - 13th International Conference, KSEM 2020, 28 August 2020 - 30 August 2020, http://dx.doi.org/10.1007/978-3-030-55393-7

Conference Papers | 2019

Bao C; Chen C; Kui H; Wang X, 2019, 'SSVisual: Intelligent start-stop system', in Proceedings - IEEE International Conference on Mobile Data Management, pp. 363 - 364, http://dx.doi.org/10.1109/MDM.2019.00-30

Conference Papers | 2019

Bao C; Chen C; Kui H; Wang X, 2019, 'Safe driving at traffic lights: An image recognition based approach', in Proceedings - IEEE International Conference on Mobile Data Management, pp. 112 - 117, http://dx.doi.org/10.1109/MDM.2019.00-67

Conference Papers | 2019

Chen S; Qian H; Wu Y; Chen C; Wang X, 2019, 'Efficient adoption maximization in multi-layer social networks', in IEEE International Conference on Data Mining Workshops, ICDMW, pp. 56 - 60, http://dx.doi.org/10.1109/ICDMW.2019.00017

Conference Papers | 2019

Zhu W; Zhang M; Chen C; Wang X; Zhang F; Lin X, 2019, 'Pivotal relationship identification: The k-truss minimization problem', in IJCAI International Joint Conference on Artificial Intelligence, Macao, China, pp. 4874 - 4880, presented at 28th International Joint Conference on Artificial Intelligence - IJCAI-19 – August 10-16 2019, Macao, China, Macao, China, 10 August 2019 - 16 August 2019, http://dx.doi.org/10.24963/ijcai.2019/677

Conference Papers | 2018

Zhu W; Chen C; Wang X; Lin X, 2018, 'K-core Minimization: An edge manipulation approach', in International Conference on Information and Knowledge Management, Proceedings, pp. 1667 - 1670, http://dx.doi.org/10.1145/3269206.3269254

Conference Papers | 2017

Jiang S; Zhang C; Zhang Y; Zhang W; Lin X; Cheema MA; Wang X, 2017, 'DSKQ: A system for efficient processing of diversified spatial-keyword query', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Brisbane, QLD, Australia, pp. 280 - 284, presented at 28th Australasian Database Conference, ADC 2017, Brisbane, QLD, Australia, 25 September 2017 - 28 September 2017, http://dx.doi.org/10.1007/978-3-319-68155-9_22

Conference Papers | 2017

Mumtaz S; Wang X, 2017, 'Identifying top-K influential nodes in networks', in International Conference on Information and Knowledge Management, Proceedings, pp. 2219 - 2222, http://dx.doi.org/10.1145/3132847.3133126

Conference Papers | 2017

Wang X; Zhang Y; Zhang W; Lin X; Chen C, 2017, 'Bring order into the samples: A novel scalable method for influence maximization (Extended abstract)', in Proceedings - International Conference on Data Engineering, San Diego, CA, USA, pp. 55 - 56, presented at 2017 IEEE 33rd International Conference on Data Engineering (ICDE), San Diego, CA, USA, 19 April 2017 - 22 April 2017, http://dx.doi.org/10.1109/ICDE.2017.34

Conference Papers | 2016

Chen C; Wang W; Wang X; Yang S, 2016, 'Effective order preserving estimation method', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 369 - 380, http://dx.doi.org/10.1007/978-3-319-46922-5_29

Conference Papers | 2016

Chen C; Wang W; Wang X, 2016, 'Efficient maximum closeness centrality group identification', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 43 - 55, http://dx.doi.org/10.1007/978-3-319-46922-5_4

Conference Papers | 2016

Wang X; Chen C; Zhang Y, 2016, 'EDMS: A system for efficient processing distance-aware influence maximization', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 462 - 466, http://dx.doi.org/10.1007/978-3-319-46922-5_40

Conference Papers | 2016

Wang X; Zhang Y; Zhang W; Lin X, 2016, 'Distance-aware influence maximization in geo-social network', in 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, pp. 1 - 12, http://dx.doi.org/10.1109/ICDE.2016.7498224

Conference Papers | 2015

Wang X; Zhang Y; Zhang W; Lin X; Cheema MA, 2015, 'Optimal spatial dominance: An effective search of nearest neighbor candidates', in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 923 - 938, http://dx.doi.org/10.1145/2723372.2749442

Conference Papers | 2015

Zhan L; Zhang Y; Zhang W; Wang X; Lin X, 2015, 'Range search on uncertain trajectories', in International Conference on Information and Knowledge Management, Proceedings, pp. 921 - 930, http://dx.doi.org/10.1145/2806416.2806430

Conference Papers | 2014

Wang X; Zhang Y; Zhang W; Lin X; Wang W, 2014, 'Selectivity estimation on streaming spatio-textual data using local correlations', in Proceedings of the VLDB Endowment, pp. 101 - 112, http://dx.doi.org/10.14778/2735471.2735472

Conference Papers | 2014

Wang X; Zhang Y; Zhang W; Lin X, 2014, 'Efficiently identify local frequent keyword co-occurrence patterns in geo-tagged Twitter stream', in SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1215 - 1218, http://dx.doi.org/10.1145/2600428.2609548

Conference Papers | 2014

Zhang C; Zhang Y; Zhang W; Lin X; Cheema MA; Wang X, 2014, 'Diversified spatial keyword search on road networks', in Advances in Database Technology - EDBT 2014: 17th International Conference on Extending Database Technology, Proceedings, pp. 367 - 378, http://dx.doi.org/10.5441/002/edbt.2014.34

Conference Papers | 2012

Qiao B; Ding L; Wang X; Wei Y, 2012, 'An Efficient KNN Query Processing Approach on High-Dimensional Data Objects in P2P Systems', Springer Berlin Heidelberg, pp. 433 - 440, http://dx.doi.org/10.1007/978-3-642-25781-0_65

Conference Papers | 2011

Qiao B; Ding L; Wei Y; Wang X, 2011, 'A KNN Query Processing Algorithm over High-Dimensional Data Objects in P2P Systems', in Gaol FL; Nguyen QV (ed.), PROCEEDINGS OF THE 2011 2ND INTERNATIONAL CONGRESS ON COMPUTER APPLICATIONS AND COMPUTATIONAL SCIENCE, VOL 1, SPRINGER-VERLAG BERLIN, INDONESIA, Tuban, pp. 133 - 139, presented at 2nd International Congress on Computer Applications and Computational Science (CACS 2011), INDONESIA, Tuban, 15 November 2011 - 17 November 2011, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000310244700019&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

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