By Scientia Professor Xuemin Lin

Conference Papers

Sun Q; Lin X; Zhang Y; Zhang W; Chen C, 2023, 'Towards Higher-order Topological Consistency for Unsupervised Network Alignment', in Proceedings - International Conference on Data Engineering, pp. 177 - 190, http://dx.doi.org/10.1109/ICDE55515.2023.00021

Huang Y; Wang L; Zhang F; Lin X, 2023, 'Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method', in Proceedings - International Conference on Data Engineering, pp. 2565 - 2578, http://dx.doi.org/10.1109/ICDE55515.2023.00197

Ni W; Chen P; Chen L; Cheng P; Zhang CJ; Lin X, 2023, 'Utility-aware Payment Channel Network Rebalance', in Proceedings of the VLDB Endowment, pp. 184 - 196, http://dx.doi.org/10.14778/3626292.3626301

Guo Q; Zhao X; Fang Y; Yang S; Lin X; Ouyang D, 2022, 'Learning Hypersphere for Few-shot Anomaly Detection on Attributed Networks', in International Conference on Information and Knowledge Management, Proceedings, pp. 635 - 645, http://dx.doi.org/10.1145/3511808.3557377

Xiang S; Wen D; Cheng D; Zhang Y; Qin L; Qian Z; Lin X, 2022, 'General graph generators: experiments, analyses, and improvements', in VLDB Journal, pp. 897 - 925, http://dx.doi.org/10.1007/s00778-021-00701-5

Li W; Qiao M; Qin L; Chang L; Zhang Y; Lin X, 2022, 'On Scalable Computation of Graph Eccentricities', in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 904 - 916, http://dx.doi.org/10.1145/3514221.3517874

Linghu Q; Zhang F; Lin X; Zhang W; Zhang Y, 2022, 'Anchored coreness: efficient reinforcement of social networks', in VLDB Journal, pp. 227 - 252, http://dx.doi.org/10.1007/s00778-021-00673-6

Wang K; Lin X; Qin L; Zhang W; Zhang Y, 2022, 'Towards efficient solutions of bitruss decomposition for large-scale bipartite graphs', in VLDB Journal, pp. 203 - 226, http://dx.doi.org/10.1007/s00778-021-00658-5

Chen X; Cao X; Zeng Y; Fang Y; Wang S; Lin X; Feng L, 2022, 'Constrained Path Search with Submodular Function Maximization', in Proceedings - International Conference on Data Engineering, pp. 325 - 337, http://dx.doi.org/10.1109/ICDE53745.2022.00029

Zheng L; Cheng P; Chen L; Yu J; Lin X; Yin J, 2022, 'Crowdsourced Fact Validation for Knowledge Bases', in Proceedings - International Conference on Data Engineering, pp. 938 - 950, http://dx.doi.org/10.1109/ICDE53745.2022.00075

Wang K; Zhang W; Lin X; Zhang Y; Li S, 2022, 'Discovering Hierarchy of Bipartite Graphs with Cohesive Subgraphs', in Proceedings - International Conference on Data Engineering, pp. 2291 - 2305, http://dx.doi.org/10.1109/ICDE53745.2022.00217

Zhao G; Wang K; Zhang W; Lin X; Zhang Y; He Y, 2022, 'Efficient Computation of Cohesive Subgraphs in Uncertain Bipartite Graphs', in Proceedings - International Conference on Data Engineering, pp. 2333 - 2345, http://dx.doi.org/10.1109/ICDE53745.2022.00220

Yuan Z; Peng Y; Cheng P; Han L; Lin X; Chen L; Zhang W, 2022, 'Efficient k-clique Listing with Set Intersection Speedup', in Proceedings - International Conference on Data Engineering, pp. 1955 - 1968, http://dx.doi.org/10.1109/ICDE53745.2022.00192

Wang K; Zhang W; Lin X; Qin L; Zhou A, 2022, 'Efficient Personalized Maximum Biclique Search', in Proceedings - International Conference on Data Engineering, pp. 498 - 511, http://dx.doi.org/10.1109/ICDE53745.2022.00042

He Y; Wang K; Zhang W; Lin X; Zhang Y, 2022, 'Efficient Reinforcement of Bipartite Networks at Billion Scale', in Proceedings - International Conference on Data Engineering, pp. 446 - 458, http://dx.doi.org/10.1109/ICDE53745.2022.00038

Huang C; Fang Y; Lin X; Cao X; Zhang W; Orlowska M, 2022, 'Estimating Node Importance Values in Heterogeneous Information Networks', in Proceedings - International Conference on Data Engineering, pp. 846 - 858, http://dx.doi.org/10.1109/ICDE53745.2022.00068

Yu Y; Wen D; Zhang Y; Qin L; Zhang W; Lin X, 2022, 'GPU-accelerated Proximity Graph Approximate Nearest Neighbor Search and Construction', in Proceedings - International Conference on Data Engineering, pp. 552 - 564, http://dx.doi.org/10.1109/ICDE53745.2022.00046

Jin J; Cheng P; Chen L; Lin X; Zhang W, 2022, 'GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models', in Proceedings - International Conference on Data Engineering, pp. 1193 - 1205, http://dx.doi.org/10.1109/ICDE53745.2022.00094

Chu D; Zhang F; Zhang W; Lin X; Zhang Y, 2022, 'Hierarchical Core Decomposition in Parallel: From Construction to Subgraph Search', in Proceedings - International Conference on Data Engineering, pp. 1138 - 1151, http://dx.doi.org/10.1109/ICDE53745.2022.00090

Li X; Hao K; Yang Z; Cao X; Zhang W; Yuan L; Lin X, 2022, 'Hop-Constrained s-t Simple Path Enumeration in Billion-Scale Labelled Graphs', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 49 - 64, http://dx.doi.org/10.1007/978-3-031-20891-1_5

Meng L; Yuan L; Chen Z; Lin X; Yang S, 2022, 'Index-based Structural Clustering on Directed Graphs', in Proceedings - International Conference on Data Engineering, pp. 2831 - 2844, http://dx.doi.org/10.1109/ICDE53745.2022.00257

Sun R; Wu Y; Chen C; Wang X; Zhang W; Lin X, 2022, 'Maximal Balanced Signed Biclique Enumeration in Signed Bipartite Graphs', in Proceedings - International Conference on Data Engineering, pp. 1887 - 1899, http://dx.doi.org/10.1109/ICDE53745.2022.00187

Mao Y; Wang Z; Liu W; Lin X; Xie P, 2022, 'MetaWeighting: Learning to Weight Tasks in Multi-Task Learning', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 3436 - 3448

Zhang J; Li W; Qin L; Zhang Y; Wen D; Cui L; Lin X, 2022, 'Reachability Labeling for Distributed Graphs', in Proceedings - International Conference on Data Engineering, pp. 686 - 698, http://dx.doi.org/10.1109/ICDE53745.2022.00056

Wang Y; Yuan Y; Zhang W; Zhang Y; Lin X; Wang G, 2022, 'Reachability-Driven Influence Maximization in Time-dependent Road-social Networks', in Proceedings - International Conference on Data Engineering, pp. 367 - 379, http://dx.doi.org/10.1109/ICDE53745.2022.00032

Wang H; Zhang Y; Qin L; Wang W; Zhang W; Lin X, 2022, 'Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching', in Proceedings - International Conference on Data Engineering, pp. 245 - 258, http://dx.doi.org/10.1109/ICDE53745.2022.00023

Feng Q; Peng Y; Zhang W; Zhang Y; Lin X, 2022, 'Towards Real-Time Counting Shortest Cycles on Dynamic Graphs: A Hub Labeling Approach', in Proceedings - International Conference on Data Engineering, pp. 512 - 524, http://dx.doi.org/10.1109/ICDE53745.2022.00043

Wang K; Hu Y; Lin X; Zhang W; Qin L; Zhang Y, 2021, 'A Cohesive Structure Based Bipartite Graph Analytics System', in International Conference on Information and Knowledge Management, Proceedings, pp. 4799 - 4803, http://dx.doi.org/10.1145/3459637.3481963

Peng Y; Zhao W; Zhang W; Lin X; Zhang Y, 2021, 'DLQ: A System for Label-Constrained Reachability Queries on Dynamic Graphs', in International Conference on Information and Knowledge Management, Proceedings, pp. 4764 - 4768, http://dx.doi.org/10.1145/3459637.3481978

Zhang Y; Wang K; Zhang W; Lin X; Zhang Y, 2021, 'Pareto-optimal Community Search on Large Bipartite Graphs', in International Conference on Information and Knowledge Management, Proceedings, pp. 2647 - 2656, http://dx.doi.org/10.1145/3459637.3482282

Li M; Wang J; Zheng L; Wu H; Cheng P; Chen L; Lin X, 2021, 'Privacy-Preserving Batch-based Task Assignment in Spatial Crowdsourcing with Untrusted Server', in International Conference on Information and Knowledge Management, Proceedings, pp. 947 - 956, http://dx.doi.org/10.1145/3459637.3482288

Yang Z; Lai L; Lin X; Hao K; Zhang W, 2021, 'HUGE: An Efficient and Scalable Subgraph Enumeration System', in Proceedings of the ACM SIGMOD International Conference on Management of Data, Virtual Event China, pp. 2049 - 2062, presented at SIGMOD/PODS '21: International Conference on Management of Data, Virtual Event China, 20 June 2021, http://dx.doi.org/10.1145/3448016.3457237

Chen X; Lai L; Qin L; Lin X; Liu B, 2021, 'A framework to quantify approximate simulation on graph data', in Proceedings - International Conference on Data Engineering, pp. 1308 - 1319, http://dx.doi.org/10.1109/ICDE51399.2021.00117

Ni W; Chen N; Cheng P; Chen L; Lin X, 2021, 'Crowdrebate: An effective platform to get more rebate for customers', in Proceedings - International Conference on Data Engineering, pp. 2261 - 2266, http://dx.doi.org/10.1109/ICDE51399.2021.00234

Yu M; Qin L; Zhang Y; Zhang W; Lin X, 2021, 'DPTL+: Efficient parallel triangle listing on batch-dynamic graphs', in Proceedings - International Conference on Data Engineering, pp. 1332 - 1343, http://dx.doi.org/10.1109/ICDE51399.2021.00119

Wang K; Zhang W; Lin X; Zhang Y; Qin L; Zhang Y, 2021, 'Efficient and effective community search on large-scale bipartite graphs', in Proceedings - International Conference on Data Engineering, pp. 85 - 96, http://dx.doi.org/10.1109/ICDE51399.2021.00015

Liu B; Zhang F; Zhang W; Lin X; Zhang Y, 2021, 'Efficient community search with size constraint', in Proceedings - International Conference on Data Engineering, pp. 97 - 108, http://dx.doi.org/10.1109/ICDE51399.2021.00016

Yu Y; Wen D; Zhang Y; Wang X; Zhang W; Lin X, 2021, 'Efficient matrix factorization on heterogeneous CPU-GPU Systems', in Proceedings - International Conference on Data Engineering, pp. 1871 - 1876, http://dx.doi.org/10.1109/ICDE51399.2021.00169

Luo Q; Yu D; Cai Z; Lin X; Cheng X, 2021, 'Hypercore maintenance in dynamic hypergraphs', in Proceedings - International Conference on Data Engineering, pp. 2051 - 2056, http://dx.doi.org/10.1109/ICDE51399.2021.00199

Lai Z; Peng Y; Yang S; Lin X; Zhang W, 2021, 'PEFP: Efficient k-hop constrained s-t simple path enumeration on FPGA', in Proceedings - International Conference on Data Engineering, pp. 1320 - 1331, http://dx.doi.org/10.1109/ICDE51399.2021.00118

Yang P; Wang H; Zhang Y; Qin L; Zhang W; Lin X, 2021, 'T3S: Effective representation learning for trajectory similarity computation', in Proceedings - International Conference on Data Engineering, pp. 2183 - 2188, http://dx.doi.org/10.1109/ICDE51399.2021.00221

Cheng P; Jin J; Chen L; Lin X; Zheng L, 2021, 'A queueing-theoretic framework for vehicle dispatching in dynamic car-hailing', in Proceedings of the VLDB Endowment, pp. 2177 - 2189, http://dx.doi.org/10.14778/3476249.3476271

Fang Y; Wang K; Lin X; Zhang W, 2021, 'Cohesive Subgraph Search over Big Heterogeneous Information Networks: Applications, Challenges, and Solutions', in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 2829 - 2838, http://dx.doi.org/10.1145/3448016.3457538

Chen C; Liu X; Xu S; Zhang M; Wang X; Lin X, 2021, 'Critical Nodes Identification in Large Networks: An Inclination-Based Model', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 453 - 468, http://dx.doi.org/10.1007/978-3-030-90888-1_35

Chen X; Wang K; Lin X; Zhang W; Qin L; Zhang Y, 2021, 'Efficiently answering reachability and path queries on temporal bipartite graphs', in Proceedings of the VLDB Endowment, pp. 1845 - 1858, http://dx.doi.org/10.14778/3467861.3467873

Li Y; Yang S; Cheema MA; Shao Z; Lin X, 2021, 'IndoorViz: A Demonstration System for Indoor Spatial Data Management', in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 2755 - 2759, http://dx.doi.org/10.1145/3448016.3452761

Yu M; Wen D; Qin L; Zhang Y; Zhang W; Lin X, 2021, 'On querying historical k-cores', in Proceedings of the VLDB Endowment, pp. 2033 - 2045, http://dx.doi.org/10.14778/3476249.3476260

Kim H; Choi Y; Park K; Lin X; Hong SH; Han WS, 2021, 'Versatile Equivalences: Speeding up Subgraph Query Processing and Subgraph Matching', in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 925 - 937, http://dx.doi.org/10.1145/3448016.3457265

Ni W; Cheng P; Chen L; Lin X, 2021, 'When the Recursive Diversity Anonymity Meets the Ring Signature', in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 1359 - 1371, http://dx.doi.org/10.1145/3448016.3452825

Mao Y; Lin X, 2021, 'BanditMTL: Bandit-based multi-task learning for text classification', Hybrid, pp. 5506 - 5516, presented at 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing,, Hybrid, https://aclanthology.org/2021.acl-long.428.pdf

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