By Professor Wenjie Zhang

Books

Fang Y; Wang K; Lin X; Zhang W, 2022, Cohesive Subgraph Search Over Large Heterogeneous Information Networks

Fang Y; Wang K; Lin X; Zhang W, 2022, Preface

Zhang W; Zou L; Maamar Z; Chen L, 2021, Preface

Zhang W; Zou L; Maamar Z; Chen L, 2021, Preface

Qin L; Zhang W; Zhang Y; Peng Y; Kato H; Wang W; Xiao C, 2020, Preface

, 2020, Software Foundations for Data Interoperability and Large Scale Graph Data Analytics, Qin L; Zhang W; Zhang Y; Peng Y; Kato H; Wang W; Xiao C, (eds.), Springer International Publishing, http://dx.doi.org/10.1007/978-3-030-61133-0

Cheema MA; Zhang W; Chang L, 2016, Preface

, 2016, Databases Theory and Applications, Cheema MA; Zhang W; Chang L, (eds.), Springer International Publishing, http://dx.doi.org/10.1007/978-3-319-46922-5

, 2013, Web Technologies and Applications, Ishikawa Y; Li J; Wang W; Zhang R; Zhang W, (eds.), Springer Berlin Heidelberg, http://dx.doi.org/10.1007/978-3-642-37401-2

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

Journal articles

Yu J; Wang H; Chen C; Wang X; Qin L; Zhang W; Zhang Y; Liu X, 2025, 'RIDA: a robust attack framework on incomplete graphs', World Wide Web, 28, http://dx.doi.org/10.1007/s11280-025-01354-y

Chen Z; Liang K; Yuan L; Zhang W; Yang Z, 2025, 'Recent Advances in Efficient Dynamic Graph Processing', Applied Sciences, 15, pp. 6003 - 6003, http://dx.doi.org/10.3390/app15116003

Luo Q; Zhang W; Yang Z; Yu D; Lin X; Wang L, 2025, 'Efficient indexing and searching of constrained core in hypergraphs', VLDB Journal, 34, http://dx.doi.org/10.1007/s00778-025-00915-x

Su G; Wang H; Zhang Y; Wilkins MR; Canete PF; Yu D; Yang Y; Zhang W, 2025, 'Inferring gene regulatory networks by hypergraph generative model', Cell Reports Methods, 5, http://dx.doi.org/10.1016/j.crmeth.2025.101026

Xie J; Zhang F; Wang K; Liu J; Lin X; Zhang W, 2025, 'Code and Data Repository for Influence Minimization via Blocking Strategies', INFORMS Journal on Computing, http://dx.doi.org/10.1287/ijoc.2024.0591.cd

Xie J; Zhang F; Wang K; Liu J; Lin X; Zhang W, 2025, 'Influence Minimization via Blocking Strategies', INFORMS Journal on Computing, http://dx.doi.org/10.1287/ijoc.2024.0591

Yu Y; Wen D; Yu M; Qin L; Zhang Y; Zhang W; Lin X, 2025, 'Querying historical K-cores in large temporal graphs', VLDB Journal, 34, http://dx.doi.org/10.1007/s00778-025-00903-1

Zhang W; Yang Z; Wen D; Li W; Zhang W; Lin X, 2025, 'Accelerating Core Decomposition in Billion-Scale Hypergraphs', Proceedings of the ACM on Management of Data, 3, pp. 1 - 27, http://dx.doi.org/10.1145/3709656

Sima Q; Yu J; Wang X; Zhang W; Zhang Y; Lin X, 2025, 'Deep Overlapping Community Search via Subspace Embedding', Proceedings of the ACM on Management of Data, 3, pp. 1 - 26, http://dx.doi.org/10.1145/3709678

Li Y; Sun R; Chen C; Wang X; Zhang Y; Zhang W, 2025, 'Discovering Cliques in Attribute Graphs Based on Proportional Fairness', IEEE Transactions on Knowledge and Data Engineering, http://dx.doi.org/10.1109/TKDE.2025.3559994

Li S; Wang K; Zhang W; Lin X; He Y, 2025, 'Efficient Bitruss Decomposition on GPU', IEEE Transactions on Knowledge and Data Engineering, http://dx.doi.org/10.1109/TKDE.2025.3569804

Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, 2025, 'Preface', Communications in Computer and Information Science, 2246, pp. v - vi

Xu Y; Zhang W; Xu X; Li B; Zhang Y, 2025, 'Scalable and Effective Temporal Graph Representation Learning With Hyperbolic Geometry', IEEE Transactions on Neural Networks and Learning Systems, 36, pp. 6080 - 6094, http://dx.doi.org/10.1109/TNNLS.2024.3394161

Yu J; Wang H; Wang X; Li Z; Qin L; Zhang W; Liao J; Zhang Y; Yang B, 2025, 'Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms', IEEE Transactions on Knowledge and Data Engineering, 37, pp. 951 - 965, http://dx.doi.org/10.1109/TKDE.2024.3485127

Xu Y; Zhang W; Lin X; Zhang Y, 2025, 'UniDyG: A Unified and Effective Representation Learning Approach for Large Dynamic Graphs', IEEE Transactions on Knowledge and Data Engineering, http://dx.doi.org/10.1109/TKDE.2025.3566064

He Y; Wang K; Zhang W; Lin X; Zhang Y, 2024, 'Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy', Proceedings of the ACM on Management of Data, 2, pp. 1 - 26, http://dx.doi.org/10.1145/3698803

Zhang W; Yang Z, 2024, 'Methods and Applications of Data Management and Analytics', Applied Sciences Switzerland, 14, http://dx.doi.org/10.3390/app142411637

He Y; Wang K; Zhang W; Lin X; Zhang Y, 2024, 'Discovering critical vertices for reinforcement of large-scale bipartite networks', VLDB Journal, 33, pp. 1861 - 1886, http://dx.doi.org/10.1007/s00778-024-00871-y

Meng L; Shao Y; Yuan L; Lai L; Cheng P; Li X; Yu W; Zhang W; Lin X; Zhou J, 2024, 'A Survey of Distributed Graph Algorithms on Massive Graphs', ACM Computing Surveys, 57, http://dx.doi.org/10.1145/3694966

Hu Y; Li B; Xu C; Saydam S; Zhang W, 2024, 'FeatSync: 3D point cloud multiview registration with attention feature-based refinement', Neurocomputing, 600, http://dx.doi.org/10.1016/j.neucom.2024.128088

Wang K; Cai M; Chen X; Lin X; Zhang W; Qin L; Zhang Y, 2024, 'Efficient algorithms for reachability and path queries on temporal bipartite graphs', VLDB Journal, 33, pp. 1399 - 1426, http://dx.doi.org/10.1007/s00778-024-00854-z

Jiang Z; Zhang Y; Xia T; Shi Y; Zhang W; Ren X; Wang M; Liang L; Li X; Zhu K, 2024, 'Influence of heating rate and storage condition on thermal desorption of deuterium in tungsten', Journal of Nuclear Materials, 597, http://dx.doi.org/10.1016/j.jnucmat.2024.155128

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