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 Lecture Notes in Computer Science, Springer Nature Singapore, pp. 81 - 96, http://dx.doi.org/10.1007/978-981-96-0814-0_6

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 Lecture Notes in Computer Science, Springer Nature Switzerland, 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 Lecture Notes in Computer Science, Springer Nature Switzerland, 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 Lecture Notes in Computer Science, Springer Nature Switzerland, 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

Zhang W; Yang Z, 2024, 'Methods and Applications of Data Management and Analytics', Applied Sciences, 14, pp. 11637 - 11637, 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

Zhu J; Zhang W; Lu L; Lu Y; Wang D, 2024, 'Hot spot mining and trend analysis of Economic Responsibility Audit based on knowledge graph', Mathematics and Computers in Simulation, 222, pp. 38 - 49, http://dx.doi.org/10.1016/j.matcom.2023.08.029

Su G; Wang H; Zhang Y; Zhang W; Lin X, 2024, 'Simple and deep graph attention networks', Knowledge-Based Systems, 293, http://dx.doi.org/10.1016/j.knosys.2024.111649

Chu D; Zhang F; Zhang W; Zhang Y; Lin X, 2024, 'Graph Summarization: Compactness Meets Efficiency', Proceedings of the ACM on Management of Data, 2, pp. 1 - 26, http://dx.doi.org/10.1145/3654943

Wang J; Zhang Y; Wang K; Lin X; Zhang W, 2024, 'Missing Data Imputation with Uncertainty-Driven Network', Proceedings of the ACM on Management of Data, 2, pp. 1 - 25, http://dx.doi.org/10.1145/3654920

Song J; Wen D; Xu L; Qin L; Zhang W; Lin X, 2024, 'On Querying Historical Connectivity in Temporal Graphs', Proceedings of the ACM on Management of Data, 2, pp. 1 - 25, http://dx.doi.org/10.1145/3654960

Xie T; Wan Y; Zhou Y; Huang W; Liu Y; Linghu Q; Wang S; Kit C; Grazian C; Zhang W; Hoex B, 2024, 'Creation of a structured solar cell material dataset and performance prediction using large language models', Patterns, 5, http://dx.doi.org/10.1016/j.patter.2024.100955

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

Zhang J; Yuan L; Li W; Qin L; Zhang Y; Zhang W, 2024, 'Label-constrained shortest path query processing on road networks', VLDB Journal, 33, pp. 569 - 593, http://dx.doi.org/10.1007/s00778-023-00825-w

Luo X; Pei J; Xu C; Zhang W; Xu J, 2024, 'Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games', Proceedings of the ACM on Management of Data, 2, pp. 1 - 28, http://dx.doi.org/10.1145/3639311

Chen H; Wang H; Chen H; Zhang Y; Zhang W; Lin X, 2024, 'Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 1016 - 1029, http://dx.doi.org/10.1109/TKDE.2023.3298490

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

Zhang S; Yang J; Zhang W; Yang S; Zhang Y; Lin X, 2024, 'BigSet: An Efficient Set Intersection Approach', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 7677 - 7691, http://dx.doi.org/10.1109/TKDE.2024.3432595

Li C; Ni W; Ding M; Qu Y; Chen J; Smith D; Zhang W; Rakotoarivelo T, 2024, 'Decentralized Privacy Preservation for Critical Connections in Graphs', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 5911 - 5925, http://dx.doi.org/10.1109/TKDE.2024.3406641

Chu D; Zhang F; Zhang W; Lin X; Zhang Y; Xia Y; Zhang C, 2024, 'Discovering and Maintaining the Best k in Core Decomposition', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 5954 - 5971, http://dx.doi.org/10.1109/TKDE.2024.3389989

Zeng A; Wang L; Zhang W; Lin X, 2024, 'Efficient and Effective Augmentation Framework With Latent Mixup and Label-Guided Contrastive Learning for Graph Classification', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 8066 - 8078, http://dx.doi.org/10.1109/TKDE.2024.3471659

Sun Q; Wang K; Zhang W; Cheng P; Lin X, 2024, 'Interdependence-Adaptive Mutual Information Maximization for Graph Contrastive Learning', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 8556 - 8567, http://dx.doi.org/10.1109/TKDE.2024.3423409

Xu T; Xu Y; Yang S; Li B; Zhang W, 2024, 'Learning Accurate Label-Specific Features From Partially Multilabeled Data', IEEE Transactions on Neural Networks and Learning Systems, 35, pp. 10436 - 10450, http://dx.doi.org/10.1109/TNNLS.2023.3241921

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

Chen Z; Ji X; Yuan L; Lin X; Zhang W; Huang S, 2024, 'Parallel Contraction Hierarchies Construction on Road Networks', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 9011 - 9024, http://dx.doi.org/10.1109/TKDE.2024.3437243

Xu Y; Zhang W; Xu X; Li B; Zhang Y, 2024, 'Scalable and Effective Temporal Graph Representation Learning With Hyperbolic Geometry', IEEE Transactions on Neural Networks and Learning Systems, http://dx.doi.org/10.1109/TNNLS.2024.3394161

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