Dr Xiaoyang Wang

Dr Xiaoyang Wang

Lecturer
Engineering
Computer Science and Engineering

Xiaoyang Wang is a 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).

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
  • 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
    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 | 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
    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 | 2023
    Zheng J; Meng F; Wang Y; Wang X; Wang S; Ma Y; Hao Z, 2023, 'Hybrid Regret Minimization: A Submodular Approach', IEEE Transactions on Knowledge and Data Engineering, http://dx.doi.org/10.1109/TKDE.2023.3328596
    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
    Zhao Y; Chen Z; Chen C; Wang X; Lin X; Zhang W, 2022, '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 | 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
    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
    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 | 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