By Professor Wenjie Zhang

Book Chapters

Ukey N; Zhang G; Yang Z; Wang X; Li B; Saydam S; Zhang W, 2025, 'A Cluster-Based Approach to kNN Join Over Batch-Dynamic High-Dimensional Data', in , pp. 81 - 96, http://dx.doi.org/10.1007/978-981-96-0814-0_6

Ding Y; Lin H; Yang Z; Wen D; Wang X; Zhang W, 2025, 'An Experimental Comparison of RDF Systems on Cloud', in , pp. 30 - 43, http://dx.doi.org/10.1007/978-981-96-1242-0_3

Li X; Wu Y; Wang X; Yang Z; Zhang W; Zhang Y, 2025, 'Keyword-Based Betweenness Centrality Maximization in Attributed Graphs', in , pp. 209 - 223, http://dx.doi.org/10.1007/978-981-96-1242-0_16

Gong Y; Wang M; Zhang Y; Zhang W; Pang S, 2024, 'A Unified Deep Learning-Based EEG Biometric Authentication System for Cross-Session Scenarios', in Advanced Data Mining and Applications 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part IV, Springer Nature, pp. 48 - 62, http://dx.doi.org/10.1007/978-981-96-0840-9_4

Jiang A; Zhang Y; Mo H; Wang M; Zhang W, 2024, 'Learning and Mapping Academic Topic Evolution Evolving - Topics in the Australian National Disability Insurance Scheme', in Advanced Data Mining and Applications 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part I, Springer Nature, pp. 131 - 145, http://dx.doi.org/10.1007/978-981-96-0811-9_10

Chen K; Wen D; Li W; Yang Z; Zhang W, 2024, 'On Compressing Historical Cliques in Temporal Graphs', in , pp. 37 - 53, http://dx.doi.org/10.1007/978-981-97-5552-3_3

Yin H; Wang K; Zhang W; Wen D; Wang X; Zhang Y, 2024, 'Discovering Densest Subgraph over Heterogeneous Information Networks', in Bao Z; Borovica-Gajic R; Qiu R; Choudhury F; Yang Z (ed.), , SPRINGER INTERNATIONAL PUBLISHING AG, 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 Bao Z; Borovica-Gajic R; Qiu R; Choudhury F; Yang Z (ed.), , SPRINGER INTERNATIONAL PUBLISHING AG, 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 Bao Z; Borovica-Gajic R; Qiu R; Choudhury F; Yang Z (ed.), , SPRINGER INTERNATIONAL PUBLISHING AG, pp. 273 - 286, http://dx.doi.org/10.1007/978-3-031-47843-7_19

Hao K; Yuan L; Yang Z; Zhang W; Lin X, 2023, 'Efficient and Scalable Distributed Graph Structural Clustering at Billion Scale', in , pp. 234 - 251, http://dx.doi.org/10.1007/978-3-031-30675-4_16

Fang Y; Wang K; Lin X; Zhang W, 2022, 'Comparison Analysis', in Cohesive Subgraph Search Over Large Heterogeneous Information Networks, pp. 47 - 55, http://dx.doi.org/10.1007/978-3-030-97568-5_5

Fang Y; Wang K; Lin X; Zhang W, 2022, 'CSS on Bipartite Networks', in Cohesive Subgraph Search Over Large Heterogeneous Information Networks, pp. 11 - 26, http://dx.doi.org/10.1007/978-3-030-97568-5_3

Fang Y; Wang K; Lin X; Zhang W, 2022, 'CSS on Other General HINs', in Cohesive Subgraph Search Over Large Heterogeneous Information Networks, pp. 27 - 46, http://dx.doi.org/10.1007/978-3-030-97568-5_4

Fang Y; Wang K; Lin X; Zhang W, 2022, 'Future Work and Conclusion', in SpringerBriefs in Computer Science, pp. 61 - 63, http://dx.doi.org/10.1007/978-3-030-97568-5_7

Fang Y; Wang K; Lin X; Zhang W, 2022, 'Introduction', in Cohesive Subgraph Search Over Large Heterogeneous Information Networks, pp. 1 - 5, http://dx.doi.org/10.1007/978-3-030-97568-5_1

Fang Y; Wang K; Lin X; Zhang W, 2022, 'Preliminaries', in SpringerBriefs in Computer Science, pp. 7 - 9, http://dx.doi.org/10.1007/978-3-030-97568-5_2

Fang Y; Wang K; Lin X; Zhang W, 2022, 'Related Work on CSMs and Solutions', in SpringerBriefs in Computer Science, pp. 57 - 60, http://dx.doi.org/10.1007/978-3-030-97568-5_6

Li S; Yang Z; Zhang X; Zhang W; Lin X, 2021, 'SQL2Cypher: Automated Data and Query Migration from RDBMS to GDBMS', in Web Information Systems Engineering – WISE 2021, pp. 510 - 517, http://dx.doi.org/10.1007/978-3-030-91560-5_39

Feng X; Zhang W; Zhao X; Zhang Y; Gao Y, 2013, 'Probabilistic k-Skyband Operator over Sliding Windows', in Lecture Notes in Computer Science, Springer Berlin Heidelberg, pp. 190 - 202, http://dx.doi.org/10.1007/978-3-642-38562-9_20

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