By Professor Wenjie Zhang

Conference Papers

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

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, pp. 2829 - 2838, 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

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

Zhang J; Wang L; Zhang W; Yao J, 2019, 'A Signal Quality Assessment Method for Electrocardiography Acquired by Mobile Device', in Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018, pp. 2826 - 2828, http://dx.doi.org/10.1109/BIBM.2018.8621160

Yang Y; Zhang W; Zhang Y; Lin X; Wang L, 2019, 'Selectivity estimation on set containment search', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 330 - 349, http://dx.doi.org/10.1007/978-3-030-18576-3_20

Lai L; Qing Z; Yang Z; Jin X; Lai Z; Wang R; Hao K; Lin X; Qin L; Zhang W; Zhang Y; Qian Z; Zhou J, 2019, 'Distributed Subgraph Matching on Timely Dataflow', in Proc. VLDB Endow., VLDB Endowment, pp. 1099–1112 - 1099–1112, http://dx.doi.org/10.14778/3339490.3339494

Wang K; Cao X; Lin X; Zhang W; Qin L, 2018, 'Efficient computing of radius-bounded κ-cores', in Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018, pp. 233 - 244, http://dx.doi.org/10.1109/ICDE.2018.00030

Peng Y; Zhang Y; Zhang W; Lin X; Qin L, 2018, 'Efficient probabilistic k-core computation on uncertain graphs', in Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018, pp. 1204 - 1207, http://dx.doi.org/10.1109/ICDE.2018.00110

Zhang F; Zhang Y; Qin L; Zhang W; Lin X, 2018, 'Efficiently reinforcing social networks over user engagement and tie strength', in Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018, pp. 557 - 568, http://dx.doi.org/10.1109/ICDE.2018.00057

Wang J; Tian F; Liu W; Wang X; Zhang W; Yamanishi K, 2018, 'Ranking preserving nonnegative matrix factorization', in Lang J (ed.), Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), International Joint Conferences on Artificial Intelligence, Stockholm, Sweden, pp. 2776 - 2782, presented at Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, 13 July 2018 - 19 July 2018, http://dx.doi.org/10.24963/ijcai.2018/385

Zhang W; Yan J; Wang X; Zha H, 2018, 'Deep extreme multi-label learning', in ICMR 2018 - Proceedings of the 2018 ACM International Conference on Multimedia Retrieval, pp. 100 - 107, http://dx.doi.org/10.1145/3206025.3206030

Liu W; Liu Z; Tsang IW; Zhang W; Lin X, 2018, 'Doubly approximate nearest neighbor classification', in 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, AAAI Press, Palo Alto, California for Association for the Advancement of Artificial, New Orleans, Louisiana, pp. 3683 - 3690, presented at Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, 02 February 2018 - 07 February 2018, https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16640/16576

Bi F; Chang L; Lin X; Zhang W, 2018, 'An optimal and progressive approach to online search of topk influential communities', in Proceedings of the VLDB Endowment, pp. 1056 - 1068, http://dx.doi.org/10.14778/3213880.3213881

Qing Z; Yuan L; Zhang F; Qin L; Lin X; Zhang W, 2018, 'External topological sorting in large graphs', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 203 - 220, http://dx.doi.org/10.1007/978-3-319-91452-7_14

Wang Y; Zhao X; Chen Y; Zhang W; Xiao W, 2017, 'Local top-N recommendation via refined item-user bi-clustering', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Puschino, Russia, pp. 357 - 371, presented at 18th International Conference, Puschino, Russia, 07 October 2017 - 11 October 2017, http://dx.doi.org/10.1007/978-3-319-68786-5_29

Jiang S; Zhang C; Zhang Y; Zhang W; Lin X; Cheema MA; Wang X, 2017, 'DSKQ: A system for efficient processing of diversified spatial-keyword query', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Brisbane, QLD, Australia, pp. 280 - 284, presented at 28th Australasian Database Conference, ADC 2017, Brisbane, QLD, Australia, 25 September 2017 - 28 September 2017, http://dx.doi.org/10.1007/978-3-319-68155-9_22

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