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

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 Web-Age Information Management, Springer Berlin Heidelberg, pp. 190 - 202, http://dx.doi.org/10.1007/978-3-642-38562-9_20

Journal articles

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

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

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, 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 <inline-formula><tex-math notation="LaTeX">$k$</tex-math></inline-formula> in Core Decomposition', IEEE Transactions on Knowledge and Data Engineering, http://dx.doi.org/10.1109/TKDE.2024.3389989

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, http://dx.doi.org/10.1007/s00778-024-00854-z

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

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

Zhang J; Shen Z; Yang S; Meng L; Xiao C; Jia W; Li Y; Sun Q; Zhang W; Lin X, 2023, 'High-Ratio Compression for Machine-Generated Data', Proceedings of the ACM on Management of Data, 1, pp. 1 - 27, http://dx.doi.org/10.1145/3626732

Wang J; Wang K; Lin X; Zhang W; Zhang Y, 2023, 'Neural Attributed Community Search at Billion Scale', Proceedings of the ACM on Management of Data, 1, pp. 1 - 25, http://dx.doi.org/10.1145/3626738

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

Wang J; Yang J; Ma Z; Zhang C; Yang S; Zhang W, 2023, 'Efficient Maximal Biclique Enumeration on Large Uncertain Bipartite Graphs', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 12634 - 12648, http://dx.doi.org/10.1109/TKDE.2023.3272110

Luo L; Fang Y; Lu M; Cao X; Zhang X; Zhang W, 2023, 'GSim: A Graph Neural Network Based Relevance Measure for Heterogeneous Graphs', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 12693 - 12707, http://dx.doi.org/10.1109/TKDE.2023.3271425

Sun Q; Zhang W; Lin X, 2023, 'Progressive Hard Negative Masking: From Global Uniformity to Local Tolerance', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 12932 - 12943, http://dx.doi.org/10.1109/TKDE.2023.3269795

Chen Z; Yuan L; Lin X; Qin L; Zhang W, 2023, 'Balanced Clique Computation in Signed Networks: Concepts and Algorithms', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 11079 - 11092, http://dx.doi.org/10.1109/TKDE.2022.3225562

Wang K; Zhao G; Zhang W; Lin X; Zhang Y; He Y; Li C, 2023, 'Cohesive Subgraph Discovery Over Uncertain Bipartite Graphs', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 11165 - 11179, http://dx.doi.org/10.1109/TKDE.2023.3234567

Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, 2023, 'Efficient continuous kNN join over dynamic high-dimensional data', World Wide Web, 26, pp. 3759 - 3794, http://dx.doi.org/10.1007/s11280-023-01204-9

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

Back to profile page