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Journal articles

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

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, pp. 1 - 16, 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

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

Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, 2024, 'Preface', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14964 LNCS, pp. v - vi

Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, 2024, 'Preface', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14962 LNCS, pp. v - vi

Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, 2024, 'Preface', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14961 LNCS, pp. v - vi

Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, 2024, 'Preface', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14965 LNCS, pp. v - vi

Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, 2024, 'Preface', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14963 LNCS, pp. v - vi

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


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