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Conference Papers

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

Zhang F; Zhang Y; Qin L; Zhang W; Lin X, 2017, 'When engagement meets similarity: Efficient (k,r)-Core computation on social networks', in Proceedings of the VLDB Endowment, VLDB Endowment, Munich, Germany, pp. 998 - 1009, presented at 43rd International Conference on Very Large Data Bases, Munich, Germany, 28 August 2017 - 01 September 2017, http://dx.doi.org/10.14778/3115404.3115406

Zhang W; Wang X; Yan J; Zha H, 2017, 'A Divide-and-Conquer Approach for Large-Scale Multi-label Learning', in Proceedings - 2017 IEEE 3rd International Conference on Multimedia Big Data, BigMM 2017, pp. 398 - 401, http://dx.doi.org/10.1109/BigMM.2017.35

Zhang H; Huang Z; Wei Z; Zhang W; Lin X, 2017, 'Tracking matrix approximation over distributed sliding windows', in Proceedings - International Conference on Data Engineering, pp. 833 - 844, http://dx.doi.org/10.1109/ICDE.2017.133

Chang L; Li W; Zhang W, 2017, 'Computing a near-maximum independent set in linear time by Reducing-Peeling', in Proceedings of the ACM SIGMOD International Conference on Management of Data, Chicago, Illinois, USA, pp. 1181 - 1196, presented at SIGMOD '17 Proceedings of the 2017 ACM International Conference on Management of Data, Chicago, Illinois, USA, 14 May 2017 - 19 May 2017, http://dx.doi.org/10.1145/3035918.3035939

Huang Z; Lin X; Zhang W; Zhang Y, 2017, 'Efficient matrix sketching over distributed data', in Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, Chicago, Illinois, USA, pp. 347 - 359, presented at 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, Chicago, Illinois, USA, 14 May 2017 - 19 May 2017, http://dx.doi.org/10.1145/3034786.3056119

Wang X; Zhang Y; Zhang W; Lin X; Chen C, 2017, 'Bring order into the samples: A novel scalable method for influence maximization (Extended abstract)', in Proceedings - International Conference on Data Engineering, San Diego, CA, USA, pp. 55 - 56, presented at 2017 IEEE 33rd International Conference on Data Engineering (ICDE), San Diego, CA, USA, 19 April 2017 - 22 April 2017, http://dx.doi.org/10.1109/ICDE.2017.34

Yang J; Zhang W; Yang S; Zhang Y; Lin X, 2017, 'TT-Join: Efficient set containment join', in Proceedings - International Conference on Data Engineering, San Diego, CA, USA, pp. 509 - 520, presented at 2017 IEEE 33rd International Conference on Data Engineering (ICDE), San Diego, CA, USA, 19 April 2017 - 22 April 2017, http://dx.doi.org/10.1109/ICDE.2017.107

Zhang F; Zhang Y; Qin L; Zhang W; Lin X, 2017, 'Finding critical users for social network engagement: The collapsed k-core problem', in 31st AAAI Conference on Artificial Intelligence, AAAI 2017, Association for the Advancement of Artificial Intelligence (AAAI), San Francisco, California, USA, pp. 245 - 251, presented at Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, California, USA, 04 February 2017 - 09 February 2017

Zhang W; Zhang H; Wang D; Liu R; Zhang H; Jiang X; Chen Y, 2017, 'Transfer learning by linking similar feature clusters for sentiment classification', in Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016, pp. 1019 - 1026, http://dx.doi.org/10.1109/ICTAI.2016.0154

Yuan L; Qin L; Lin X; Chang L; Zhang W, 2017, 'Effective and efficient dynamic graph coloring', in Proceedings of the VLDB Endowment, pp. 338 - 351, http://dx.doi.org/10.14778/3157794.3157802

Wang L; Yao J; Zhang W, 2016, 'A time-series similarity method for QRS morphology variation analysis', in Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016, Shenzhen, China, pp. 419 - 426, presented at 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Shenzhen, China, 15 December 2016 - 18 December 2016, http://dx.doi.org/10.1109/BIBM.2016.7822554

Bi F; Chang L; Lin X; Qin L; Zhang W, 2016, 'Efficient subgraph matching by postponing Cartesian products', in Proceedings of the ACM SIGMOD International Conference on Management of Data, San Francisco, USA, pp. 1199 - 1214, presented at 2016 ACM SIGMOD/PODS Conference, San Francisco, USA, 26 June 2016 - 01 July 2016, http://dx.doi.org/10.1145/2882903.2915236

Wang X; Zhang Y; Zhang W; Lin X, 2016, 'Distance-aware influence maximization in geo-social network', in 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, pp. 1 - 12, http://dx.doi.org/10.1109/ICDE.2016.7498224

Zhang W; Lin X; Zhang Y; Zhu K; Zhu G, 2016, 'Efficient probabilistic supergraph search', in 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, pp. 1542 - 1543, http://dx.doi.org/10.1109/ICDE.2016.7498415

Yang J; Zhang Y; Zhang W; Lin X, 2016, 'Influence based cost optimization on user preference', in 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, pp. 709 - 720, http://dx.doi.org/10.1109/ICDE.2016.7498283


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