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

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 Proceedings of the International Conference on Human-centric Computing 2011 and Embedded and Multimedia Computing 2011, 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

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 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

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

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

Ouyang D; Wen D; Qin L; Chang L; Lin X; Zhang Y, 2023, 'When hierarchy meets 2-hop-labeling: efficient shortest distance and path queries on road networks', VLDB Journal, 32, pp. 1263 - 1287, http://dx.doi.org/10.1007/s00778-023-00789-x

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

Chen Z; Feng B; Yuan L; Lin X; Wang L, 2023, 'Fully Dynamic Contraction Hierarchies with Label Restrictions on Road Networks', Data Science and Engineering, 8, pp. 263 - 278, http://dx.doi.org/10.1007/s41019-023-00227-6

Wang J; Yang J; Zhang C; Lin X, 2023, 'Efficient Maximum Edge-Weighted Biclique Search on Large Bipartite Graphs', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 7921 - 7934, http://dx.doi.org/10.1109/TKDE.2022.3220901

Mao Y; Wang Z; Liu W; Lin X; Hu W, 2023, 'Task Variance Regularized Multi-Task Learning', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 8615 - 8629, http://dx.doi.org/10.1109/TKDE.2022.3207049

Qiu YX; Wen D; Li RH; Qin L; Yu M; Lin X, 2023, 'Computing Significant Cliques in Large Labeled Networks', IEEE Transactions on Big Data, 9, pp. 904 - 917, http://dx.doi.org/10.1109/TBDATA.2022.3223644

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

Cai Y; Liu S; Zheng W; Lin X, 2023, 'Towards Generating Hop-constrained s-t Simple Path Graphs', Proceedings of the ACM on Management of Data, 1, pp. 1 - 26, http://dx.doi.org/10.1145/3588915

Luo Q; Yu D; Cai Z; Lin X; Wang G; Cheng X, 2023, 'Toward maintenance of hypercores in large-scale dynamic hypergraphs', VLDB Journal, 32, pp. 647 - 664, http://dx.doi.org/10.1007/s00778-022-00763-z

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

Huang R; Wang J; Song S; Lin X; Zhu X; Pei J, 2023, 'Efficiently Cleaning Structured Event Logs: A Graph Repair Approach', ACM Transactions on Database Systems, 48, http://dx.doi.org/10.1145/3571281

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

Kim H; Choi Y; Park K; Lin X; Hong SH; Han WS, 2023, 'Fast subgraph query processing and subgraph matching via static and dynamic equivalences', VLDB Journal, 32, pp. 343 - 368, http://dx.doi.org/10.1007/s00778-022-00749-x

Mao Y; Hao Y; Liu W; Lin X; Cao X, 2023, 'Class-Imbalanced-Aware Distantly Supervised Named Entity Recognition', IEEE Transactions on Neural Networks and Learning Systems, http://dx.doi.org/10.1109/TNNLS.2023.3252084

Hao Y; Mao Y; Cao X; Fang Y; Lin X; Mao H, 2023, 'Dynamic Graph Embedding via Meta-Learning', IEEE Transactions on Knowledge and Data Engineering, http://dx.doi.org/10.1109/TKDE.2023.3329238

Lyu B; Qin L; Lin X; Zhang Y; Qian Z; Zhou J, 2022, 'Maximum and top-k diversified biclique search at scale', VLDB Journal, 31, pp. 1365 - 1389, http://dx.doi.org/10.1007/s00778-021-00681-6

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

Huang C; Fang Y; Lin X; Cao X; Zhang W, 2022, 'ABLE: Meta-Path Prediction in Heterogeneous Information Networks', ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 16, http://dx.doi.org/10.1145/3494558

Hidayat A; Cheema MA; Lin X; Zhang W; Zhang Y, 2022, 'Continuous monitoring of moving skyline and top-k queries', VLDB Journal, 31, pp. 459 - 482, http://dx.doi.org/10.1007/s00778-021-00702-4

Sun R; Chen C; Liu X; Xu S; Wang X; Lin X, 2022, 'Critical Nodes Identification in Large Networks: The Inclined and Detached Models', World Wide Web, 25, pp. 1315 - 1341, http://dx.doi.org/10.1007/s11280-022-01049-8

Peng Y; Lin X; Zhang Y; Zhang W; Qin L, 2022, 'Answering reachability and K-reach queries on large graphs with label constraints', VLDB Journal, 31, pp. 101 - 127, http://dx.doi.org/10.1007/s00778-021-00695-0

Li W; Qiao M; Qin L; Zhang Y; Chang L; Lin X, 2022, 'Distance labeling: on parallelism, compression, and ordering', VLDB Journal, 31, pp. 129 - 155, http://dx.doi.org/10.1007/s00778-021-00694-1

Back to profile page