By Scientia Professor Xuemin Lin

Books

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

Wang G; Lin X; Hendler J, 2020, Preface

Jin H; Lin X; Cheng X; Shi X; Xiao N; Huang Y, 2019, Preface

Kotagiri R; Lin X; Zhou X; Yokota H, 2009, Message from the DASFAA 2009 Chairs

Book Chapters

Du L; Cheng P; Chen L; Ni W; Zhao J; Lin X, 2024, 'Stable Task Assignment with Range Partition under Differential Privacy', in Lecture Notes in Computer Science, Springer Nature Singapore, pp. 243 - 253, http://dx.doi.org/10.1007/978-981-97-5562-2_16

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

Jin D; Cheng P; Lin X; Chen L, 2021, 'Co-authorship Prediction Based on Temporal Graph Attention', in Web and Big Data, pp. 3 - 19, http://dx.doi.org/10.1007/978-3-030-85896-4_1

Xie Q; Wang L; Song P; Lin X, 2021, 'SQKT: A Student Attention-Based and Question-Aware Model for Knowledge Tracing', in Web and Big Data, pp. 221 - 236, http://dx.doi.org/10.1007/978-3-030-85899-5_17

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

Lin X, 2018, 'Data Sketch/Synopsis', in Encyclopedia of Database Systems, Springer New York, pp. 848 - 849, http://dx.doi.org/10.1007/978-1-4614-8265-9_549

Lin X, 2016, 'Data Sketch/Synopsis', in Encyclopedia of Database Systems, Springer New York, pp. 1 - 1, http://dx.doi.org/10.1007/978-1-4899-7993-3_549-2

Lin X, 2011, 'Graph-Based Structure Search', in Lecture Notes in Electrical Engineering, Springer Netherlands, pp. 3 - 4, http://dx.doi.org/10.1007/978-94-007-2105-0_1

Lin X, 2009, 'Data Sketch/Synopsis', in Encyclopedia of Database Systems, Springer US, pp. 634 - 634, http://dx.doi.org/10.1007/978-0-387-39940-9_549

Journal articles

Meng L; Shao Y; Yuan L; Lai L; Cheng P; Li X; Yu W; Zhang W; Lin X; Zhou J, 2025, 'A Survey of Distributed Graph Algorithms on Massive Graphs', ACM Computing Surveys, 57, pp. 1 - 39, http://dx.doi.org/10.1145/3694966

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

Mao Y; Hao Y; Liu W; Lin X; Cao X, 2024, 'Class-Imbalanced-Aware Distantly Supervised Named Entity Recognition', IEEE Transactions on Neural Networks and Learning Systems, 35, pp. 12117 - 12129, http://dx.doi.org/10.1109/TNNLS.2023.3252084

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

Mao Y; Hao Y; Cao X; Fang Y; Lin X; Mao H; Xu Z, 2024, 'Dynamic Graph Embedding via Meta-Learning', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 2967 - 2979, http://dx.doi.org/10.1109/TKDE.2023.3329238

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

Zhang Z; Lu Y; Zheng W; Lin X, 2024, 'A Comprehensive Survey and Experimental Study of Subgraph Matching: Trends, Unbiasedness, and Interaction', Proceedings of the ACM on Management of Data, 2, pp. 1 - 29, http://dx.doi.org/10.1145/3639315

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

Luo Q; Xie Z; Liu Y; Yu D; Cheng X; Lin X; Jia X, 2024, 'Sampling hypergraphs via joint unbiased random walk', World Wide Web, 27, http://dx.doi.org/10.1007/s11280-024-01253-8

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, http://dx.doi.org/10.1109/TKDE.2024.3432595

Yang P; Wang H; Yang J; Qian Z; Zhang Y; Lin X, 2024, 'Deep Learning Approaches for Similarity Computation: A Survey', IEEE Transactions on Knowledge and Data Engineering, http://dx.doi.org/10.1109/TKDE.2024.3422484

Chen H; Xu C; Zheng L; Zhang Q; Lin X, 2024, 'Diffusion-Based Graph Generative Methods', IEEE Transactions on Knowledge and Data Engineering, http://dx.doi.org/10.1109/TKDE.2024.3466301

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, http://dx.doi.org/10.1109/TKDE.2024.3471659

Wang X; Wang Y; Lin X; Xu Yu J; Gao H; Cheng X; Yu D, 2024, 'Efficient Betweenness Centrality Computation over Large Heterogeneous Information Networks', Proceedings of the VLDB Endowment, 17, pp. 3360 - 3372, http://dx.doi.org/10.14778/3681954.3682006

Wang J; Yang J; Gu Z; Ouyang D; Tian Z; Lin X, 2024, 'Efficient Maximal Biclique Enumeration on Large Signed Bipartite Graphs', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 4618 - 4631, http://dx.doi.org/10.1109/TKDE.2024.3373654

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, http://dx.doi.org/10.1109/TKDE.2024.3423409

Xie W; Chen Z; Zhang CJ; Zheng L; Cheng P; Yin J; Lin X, 2024, 'Longer Pick-Up for Less Pay: Towards Discount-Based Mobility Services', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 3992 - 4006, http://dx.doi.org/10.1109/TKDE.2024.3362893

Ouyang D; Wang Z; Zhang F; Yang S; Yang J; Lin X, 2024, 'Multi-Source Shortest Path Query With Assembly Points on Large Graphs', IEEE Transactions on Knowledge and Data Engineering, http://dx.doi.org/10.1109/TKDE.2024.3424947

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, http://dx.doi.org/10.1109/TKDE.2024.3437243

Zhang F; Guo H; Ouyang D; Yang S; Lin X; Tian Z, 2024, 'Size-Constrained Community Search on Large Networks: An Effective and Efficient Solution', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 356 - 371, http://dx.doi.org/10.1109/TKDE.2023.3280483

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

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

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