Select Publications

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

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

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

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

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

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

Yang J; Peng Y; Ouyang D; Zhang W; Lin X; Zhao X, 2023, '(p,q)-biclique counting and enumeration for large sparse bipartite graphs', VLDB Journal, 32, pp. 1137 - 1161, http://dx.doi.org/10.1007/s00778-023-00786-0

Sheng Y; Cao X; Fang Y; Zhao K; Qi J; Cong G; Zhang W, 2023, 'WISK: A Workload-aware Learned Index for Spatial Keyword Queries', Proceedings of the ACM on Management of Data, 1, pp. 1 - 27, http://dx.doi.org/10.1145/3589332

He Y; Wang K; Zhang W; Lin X; Zhang Y, 2023, 'Scaling Up k-Clique Densest Subgraph Detection', Proceedings of the ACM on Management of Data, 1, pp. 1 - 26, http://dx.doi.org/10.1145/3588923

Chang L; Feng X; Yao K; Qin L; Zhang W, 2023, 'Accelerating Graph Similarity Search via Efficient GED Computation', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 4485 - 4498, http://dx.doi.org/10.1109/TKDE.2022.3153523

Li J; Saydam S; Xu Y; Liu B; Li B; Lin X; Zhang W, 2023, 'Class-aware tiny object recognition over large-scale 3D point clouds', Neurocomputing, 529, pp. 166 - 181, http://dx.doi.org/10.1016/j.neucom.2023.01.094

Wang K; Lin X; Qin L; Zhang W; Zhang Y, 2023, 'Accelerated butterfly counting with vertex priority on bipartite graphs', VLDB Journal, 32, pp. 257 - 281, http://dx.doi.org/10.1007/s00778-022-00746-0

Wang K; Zhang W; Zhang Y; Qin L; Zhang Y, 2023, 'Discovering Significant Communities on Bipartite Graphs: An Index-Based Approach', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 2471 - 2485, http://dx.doi.org/10.1109/TKDE.2021.3111349

Wang H; Zhang W; Zou L; Maamar Z, 2023, 'Guest Editorial: WWWJ Special Issue of the 22th International Conference on Web Information Systems Engineering (WISE 2021)', World Wide Web, 26, pp. 709 - 712, http://dx.doi.org/10.1007/s11280-022-01131-1

Wang X; Wen D; Qin L; Chang L; Zhang Y; Zhang W, 2023, 'ScaleG: A Distributed Disk-Based System for Vertex-Centric Graph Processing', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 2019 - 2033, http://dx.doi.org/10.1109/TKDE.2021.3101057

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

Zhu J; Zhang W; Lu L; Lu Y; Wang D, 2023, 'Hot spot mining and trend analysis of Economic Responsibility Audit based on knowledge graph', Mathematics and Computers in Simulation, http://dx.doi.org/10.1016/j.matcom.2023.08.029

Zhang J; Yuan L; Li W; Qin L; Zhang Y; Zhang W, 2023, 'Label-constrained shortest path query processing on road networks', VLDB Journal, http://dx.doi.org/10.1007/s00778-023-00825-w

Xu T; Xu Y; Yang S; Li B; Zhang W, 2023, 'Learning Accurate Label-Specific Features From Partially Multilabeled Data', IEEE Transactions on Neural Networks and Learning Systems, http://dx.doi.org/10.1109/TNNLS.2023.3241921

Ukey N; Yang Z; Li B; Zhang G; Hu Y; Zhang W, 2023, 'Survey on Exact kNN Queries over High-Dimensional Data Space', Sensors, 23, http://dx.doi.org/10.3390/s23020629

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


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