Select Publications

Conference Papers

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

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

Luo L; Fang Y; Cao X; Zhang X; Zhang W, 2021, 'Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model', in International Conference on Information and Knowledge Management, Proceedings, pp. 1170 - 1180, http://dx.doi.org/10.1145/3459637.3482250

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

Wang J; Yang J; Zhang W, 2021, 'Top-k Tree Similarity Join', in International Conference on Information and Knowledge Management, Proceedings, pp. 1939 - 1948, http://dx.doi.org/10.1145/3459637.3482304

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, ACM, 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

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, IEEE, pp. 1332 - 1343, presented at 2021 IEEE 37th International Conference on Data Engineering (ICDE), 19 April 2021 - 22 April 2021, 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, IEEE, pp. 85 - 96, presented at 2021 IEEE 37th International Conference on Data Engineering (ICDE), 19 April 2021 - 22 April 2021, 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, IEEE, pp. 97 - 108, presented at 2021 IEEE 37th International Conference on Data Engineering (ICDE), 19 April 2021 - 22 April 2021, 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, IEEE, pp. 1871 - 1876, presented at 2021 IEEE 37th International Conference on Data Engineering (ICDE), 19 April 2021 - 22 April 2021, http://dx.doi.org/10.1109/ICDE51399.2021.00169

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, IEEE, pp. 1320 - 1331, presented at 2021 IEEE 37th International Conference on Data Engineering (ICDE), 19 April 2021 - 22 April 2021, 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, IEEE, pp. 2183 - 2188, presented at 2021 IEEE 37th International Conference on Data Engineering (ICDE), 19 April 2021 - 22 April 2021, http://dx.doi.org/10.1109/ICDE51399.2021.00221

Zhang W; Chan WK, 2021, 'Subgraph Isomorphism Building on A Hierarchical Query Graph', in ACM International Conference Proceeding Series, pp. 107 - 111, http://dx.doi.org/10.1145/3456529.3456548

Yang J; Peng Y; Zhang W, 2021, '(p,q)-biclique Counting and Enumeration for Large Sparse Bipartite Graphs', in Proceedings of the VLDB Endowment, pp. 141 - 153, http://dx.doi.org/10.14778/3489496.3489497

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, ACM, pp. 2829 - 2838, presented at SIGMOD/PODS '21: International Conference on Management of Data, http://dx.doi.org/10.1145/3448016.3457538

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

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

Ma C; Fang Y; Cheng R; Lakshmanan LVS; Zhang W; Lin X, 2020, 'Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs', in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 1051 - 1066, http://dx.doi.org/10.1145/3318464.3389697

Linghu Q; Zhang F; Lin X; Zhang W; Zhang Y, 2020, 'Global Reinforcement of Social Networks: The Anchored Coreness Problem', in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 2211 - 2226, http://dx.doi.org/10.1145/3318464.3389744

Yang J; Zhang W; Wang X; Zhang Y; Lin X, 2020, 'Distributed streaming set similarity join', in Proceedings - International Conference on Data Engineering, pp. 565 - 576, http://dx.doi.org/10.1109/ICDE48307.2020.00055

Yang Y; Fang Y; Lin X; Zhang W, 2020, 'Effective and efficient truss computation over large heterogeneous information networks', in Proceedings - International Conference on Data Engineering, pp. 901 - 912, http://dx.doi.org/10.1109/ICDE48307.2020.00083

Wang K; Lin X; Qin L; Zhang W; Zhang Y, 2020, 'Efficient bitruss decomposition for large-scale bipartite graphs', in Proceedings - International Conference on Data Engineering, pp. 661 - 672, http://dx.doi.org/10.1109/ICDE48307.2020.00063

Wen D; Huang Y; Zhang Y; Qin L; Zhang W; Lin X, 2020, 'Efficiently answering span-reachability queries in large temporal graphs', in Proceedings - International Conference on Data Engineering, pp. 1153 - 1164, http://dx.doi.org/10.1109/ICDE48307.2020.00104

Chen H; Fang Y; Zhang Y; Zhang W; Wang L, 2020, 'ESPM: Efficient spatial pattern matching (Extended Abstract)', in Proceedings - International Conference on Data Engineering, pp. 2038 - 2039, http://dx.doi.org/10.1109/ICDE48307.2020.00238

Zhang C; Zhang F; Zhang W; Liu B; Zhang Y; Qin L; Lin X, 2020, 'Exploring finer granularity within the cores: Efficient (k, p)-Core computation', in Proceedings - International Conference on Data Engineering, pp. 181 - 192, http://dx.doi.org/10.1109/ICDE48307.2020.00023

Chu D; Zhang F; Lin X; Zhang W; Zhang Y; Xia Y; Zhang C, 2020, 'Finding the best k in core decomposition: A time and space optimal solution', in Proceedings - International Conference on Data Engineering, pp. 685 - 696, http://dx.doi.org/10.1109/ICDE48307.2020.00065

Chang L; Feng X; Lin X; Qin L; Zhang W; Ouyang D, 2020, 'Speeding Up GED verification for graph similarity search', in Proceedings - International Conference on Data Engineering, pp. 793 - 804, http://dx.doi.org/10.1109/ICDE48307.2020.00074

Liu B; Zhang F; Zhang C; Zhang W; Lin X, 2020, 'CoreCube: Core Decomposition in Multilayer Graphs', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Hong Kong, China, pp. 694 - 710, presented at WISE 2019 20th International Conference on Web Information Systems Engineering, Hong Kong, China, 19 January 2020, http://dx.doi.org/10.1007/978-3-030-34223-4_44

Fang Y; Huang X; Qin L; Zhang Y; Zhang W; Cheng R; Lin X, 2020, 'A survey of community search over big graphs', in VLDB Journal, pp. 353 - 392, http://dx.doi.org/10.1007/s00778-019-00556-x

Wang R; Yang Z; Zhang W; Lin X, 2020, 'An empirical study on recent graph database systems', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 328 - 340, http://dx.doi.org/10.1007/978-3-030-55130-8_29

Peng Y; Zhang Y; Lin X; Qin L; Zhang W, 2020, 'Answering billion-scale label-constrained reachability queries within microsecond', in Proceedings of the VLDB Endowment, pp. 812 - 825, http://dx.doi.org/10.14778/3380750.3380753

Yu M; Qin L; Zhang Y; Zhang W; Lin X, 2020, 'Aot: pushing the efficiency boundary of main-memory triangle listing', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 516 - 533, http://dx.doi.org/10.1007/978-3-030-59416-9_31

Fang Y; Yang Y; Zhang W; Lin X; Cao X, 2020, 'Effective and efficient community search over large heterogeneous information networks', in Proceedings of the VLDB Endowment, pp. 854 - 867, http://dx.doi.org/10.14778/3380750.3380756

Li C; Zhang F; Zhang Y; Qin L; Zhang W; Lin X, 2020, 'Efficient progressive minimum k-core search', in Proceedings of the VLDB Endowment, pp. 361 - 374, http://dx.doi.org/10.14778/3368289.3368300

Liu W; Wang H; Zhang Y; Qin L; Zhang W, 2020, 'I/O Efficient Algorithm for c-Approximate Furthest Neighbor Search in High-Dimensional Space', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 221 - 236, http://dx.doi.org/10.1007/978-3-030-59419-0_14

Chen X; Huang C; Yao L; Wang X; Liu W; Zhang W, 2020, 'Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation', in arXiv preprint arXiv:2004.08068

Peng Y; Zhang Y; Lin X; Zhang W; Qin L; Zhou J, 2019, 'Hopconstrained st simple path enumeration: Towards bridging theory and practice', in Proceedings of the VLDB Endowment, pp. 463 - 476, http://dx.doi.org/10.14778/3372716.3372720

Zhang C; Qin L; Zhang W; Zhang F; Zhang Y; Lin X, 2019, 'Selecting the optimal groups: Efficiently computing skyline k-cliques', in International Conference on Information and Knowledge Management, Proceedings, pp. 1211 - 1220, http://dx.doi.org/10.1145/3357384.3357991

Zhang X; Yao L; Wang X; Zhang W; Zhang S; Liu Y, 2019, 'Know your mind: Adaptive cognitive activity recognition with reinforced CNN', in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 896 - 905, http://dx.doi.org/10.1109/ICDM.2019.00100

Zhou Z; Zhang F; Lin X; Zhang W; Chen C, 2019, 'K-core maximization: An edge addition approach', in IJCAI International Joint Conference on Artificial Intelligence, Macao, China, pp. 4867 - 4873, presented at Twenty-Eighth International Joint Conference on Artificial Intelligence, Macao, China, 10 August 2019, http://dx.doi.org/10.24963/ijcai.2019/676

Liu B; Qin L; Yuan L; Zhang W; Lin X; Zhou J, 2019, 'Efficient (α, β)-core computation: An index-based approach', in The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019, pp. 1130 - 1141, http://dx.doi.org/10.1145/3308558.3313522

Zhang W; Zhang F; Zhang Y; Qin L, 2019, 'Cohesive subgraphs with hierarchical decomposition on big graphs', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Chiang Mai, Thailand, pp. 587 - 589, presented at DASFAA 2019 International Workshops : BDMS, BDQM, and GDMA, Chiang Mai, Thailand, April 22-25, 2019 : proceedings, Chiang Mai, Thailand, 22 April 2019 - 25 April 2019, http://dx.doi.org/10.1007/978-3-030-18590-9

Wu X; Yuan L; Lin X; Yang S; Zhang W, 2019, 'Towards efficient k-TriPeak decomposition on large graphs', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Chiang Mai, Thailand, pp. 604 - 621, presented at 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, proceedings, Chiang Mai, Thailand, 22 April 2019 - 25 April 2019, http://dx.doi.org/10.1007/978-3-030-18576-3_36

Chen X; Cao X; Xu Z; Zhang Y; Shang S; Zhang W, 2019, 'Accelerate MaxBRkNN Search by kNN estimation', in Proceedings - International Conference on Data Engineering, pp. 1730 - 1733, http://dx.doi.org/10.1109/ICDE.2019.00184

Zhang C; Zhang Y; Zhang W; Qin L; Yang J, 2019, 'Efficient maximal spatial clique enumeration', in Proceedings - International Conference on Data Engineering, pp. 878 - 889, http://dx.doi.org/10.1109/ICDE.2019.00083

Yang Y; Zhang Y; Zhang W; Huang Z, 2019, 'Gb-KMV: An augmented KMV sketch for approximate containment similarity search', in Proceedings - International Conference on Data Engineering, pp. 458 - 469, http://dx.doi.org/10.1109/ICDE.2019.00048

Zhang Y; Qin L; Zhang F; Zhang W, 2019, 'Hierarchical decomposition of big graphs', in Proceedings - International Conference on Data Engineering, pp. 2064 - 2067, http://dx.doi.org/10.1109/ICDE.2019.00240

Yuan L; Qin L; Zhang W; Chang L; Yang J, 2019, 'Index-based densest clique percolation community search in networks (Extended Abstract)', in Proceedings - International Conference on Data Engineering, pp. 2161 - 2162, http://dx.doi.org/10.1109/ICDE.2019.00275


Back to profile page