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Conference Papers

Li W; Qiao M; Qin L; Zhang Y; Chang L; Lin X, 2018, 'Exacting eccentricity for small-world networks', in Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018, pp. 785 - 796, http://dx.doi.org/10.1109/ICDE.2018.00076

Qin J; Wang Y; Xiao C; Wang W; Lin X; Ishikawa Y, 2018, 'GPH: Similarity search in hamming space', in Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018, pp. 29 - 40, http://dx.doi.org/10.1109/ICDE.2018.00013

Zhu W; Chen C; Wang X; Lin X, 2018, 'K-core Minimization: An edge manipulation approach', in International Conference on Information and Knowledge Management, Proceedings, pp. 1667 - 1670, http://dx.doi.org/10.1145/3269206.3269254

Lin X; Buyya R; Yang L; Tari Z; Choo KKR; Vlassov V; Yao L; Yin H; Wang W, 2018, 'Message from the BDCloud 2018 Chairs', in Proceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018, pp. XXIX - XXX, http://dx.doi.org/10.1109/BDCloud.2018.00009

Ouyang D; Qin L; Chang L; Lin X; Zhang Y; Zhu Q, 2018, 'When Hierarchy meets 2-hop-labeling: Effiicient shortest distance ?eries on road networks', in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 709 - 724, http://dx.doi.org/10.1145/3183713.3196913

Sun Y; Wang W; Lin X, 2018, 'An efficient exact nearest neighbor search by compounded embedding', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Gold Coast, QLD, Australia, pp. 37 - 54, presented at International Conference on Database Systems for Advanced Applications, DASFAA 2018, Gold Coast, QLD, Australia, 21 May 2018 - 24 May 2018, http://dx.doi.org/10.1007/978-3-319-91452-7_3

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

Zhang F; Yuan L; Zhang Y; Qin L; Lin X; Zhou A, 2018, 'Discovering strong communities with user engagement and tie strength', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 425 - 441, http://dx.doi.org/10.1007/978-3-319-91452-7_28

Fang Y; Yu K; Cheng R; Lakshmanan LVS; Lin X, 2018, 'Efficient algorithms for densest subgraph discovery', in Proceedings of the VLDB Endowment, pp. 1719 - 1732, http://dx.doi.org/10.14778/3342263.3342645

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

Zhou A; Zhang F; Yuan L; Zhang Y; Lin X, 2018, 'Finding maximal stable cores in social networks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 224 - 235, http://dx.doi.org/10.1007/978-3-319-92013-9_18

Ghafouri M; Wang X; Yuan L; Zhang Y; Lin X, 2018, 'Maintaining boolean Top-K spatial temporal results in publish-subscribe systems', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 147 - 160, http://dx.doi.org/10.1007/978-3-319-92013-9_12

Wang S; Zhang Y; Lin X; Cheema MA, 2018, 'Maximize spatial influence of facility bundle considering reverse k nearest neighbors', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 684 - 700, http://dx.doi.org/10.1007/978-3-319-91452-7_44

Li Y; Wang G; Yuan Y; Cao X; Yuan L; Lin X, 2018, 'PrivTS: Differentially private frequent time-constrained sequential pattern mining', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 92 - 111, http://dx.doi.org/10.1007/978-3-319-91458-9_6

Qiu X; Cen W; Qian Z; Peng Y; Zhang Y; Lin X; Zhou J, 2018, 'Real-time constrained cycle detection in large dynamic graphs', in Proceedings of the VLDB Endowment, pp. 1876 - 1888, http://dx.doi.org/10.14778/3229863.3229874

Ouyang D; Yuan L; Zhang F; Qin L; Lin X, 2018, 'Towards efficient path skyline computation in bicriteria networks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 239 - 254, http://dx.doi.org/10.1007/978-3-319-91452-7_16

Wen D; Qin L; Zhang Y; Chang L; Lin X, 2017, 'Efficient structural graph clustering: An index-based approach', in Proceedings of the VLDB Endowment, pp. 243 - 255, http://dx.doi.org/10.14778/3157794.3157795

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

Chu D; Shen Z; Zhang Y; Yang S; Lin X, 2017, 'Real-time popularity prediction on instagram', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Brisbane, QLD, pp. 275 - 279, presented at 28th Australasian Database Conference, ADC 2017, Brisbane, QLD, 25 September 2017 - 28 September 2017, http://dx.doi.org/10.1007/978-3-319-68155-9_21

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

Li P; Yao J; Wang L; Lin X, 2017, 'Spot: Selecting occupations from trajectories', in SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, pp. 813 - 816, presented at 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, 07 August 2017 - 11 August 2017, http://dx.doi.org/10.1145/3077136.3080651

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

Guo T; Cao X; Cong G; Lu J; Lin X, 2017, 'Distributed algorithms on exact Personalized PageRank', in Proceedings of the ACM SIGMOD International Conference on Management of Data, Chicago, Illinois, USA, pp. 479 - 494, 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/10.1145/3035918.3035920

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; Qin L; Lin X; Zhang Y; Chang L, 2017, 'Leveraging set relations in exact set similarity join', in Proceedings of the VLDB Endowment, pp. 925 - 936, http://dx.doi.org/10.14778/3099622.3099624

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

Chang L; Zhang C; Lin X; Qin L, 2017, 'Scalable Top-K structural diversity search', in Proceedings - International Conference on Data Engineering, San Diego, CA, USA, pp. 95 - 98, 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.2017.48

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

Kim J; Shim K; Cao L; Lee JG; Lin X; Moon YS, 2017, 'Advances in knowledge discovery and data mining: 21st Pacific-Asia conference, PAKDD 2017 Jeju, South Korea, may 23–26, 2017 proceedings, part II', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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

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

Wei H; Yu JX; Lu C; Lin X, 2016, 'Speedup graph processing by graph ordering', in Proceedings of the ACM SIGMOD International Conference on Management of Data, San Francisco, USA, pp. 1813 - 1828, presented at 2016 ACM SIGMOD/PODS Conference, San Francisco, USA, 26 June 2016 - 01 July 2016, http://dx.doi.org/10.1145/2882903.2915220

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

Wang S; Cheema MA; Lin X; Zhang Y; Liu D, 2016, 'Efficiently computing reverse k furthest neighbors', in 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, pp. 1110 - 1121, http://dx.doi.org/10.1109/ICDE.2016.7498317

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

Feng X; Chang L; Lin X; Qin L; Zhang W, 2016, 'Computing Connected Components with linear communication cost in pregel-like systems', in 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, pp. 85 - 96, presented at 2016 IEEE 32nd International Conference on Data Engineering (ICDE), Helsinki, Finland, 16 May 2016 - 20 May 2016, http://dx.doi.org/10.1109/ICDE.2016.7498231

Choi DW; Pei J; Lin X, 2016, 'Finding the minimum spatial keyword cover', in 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, pp. 685 - 696, presented at 2016 IEEE 32nd International Conference on Data Engineering (ICDE), Helsinki, Finland, 16 May 2016 - 20 May 2016, http://dx.doi.org/10.1109/ICDE.2016.7498281

Wen D; Qin L; Zhang Y; Lin X; Yu JX, 2016, 'I/O efficient Core Graph Decomposition at web scale', in 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, pp. 133 - 144, presented at 2016 IEEE 32nd International Conference on Data Engineering (ICDE), Helsinki, Finland, 16 May 2016 - 20 May 2016, http://dx.doi.org/10.1109/ICDE.2016.7498235

Chang L; Li W; Lin X; Qin L; Zhang W, 2016, 'PSCAN: Fast and exact structural graph clustering', in 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, pp. 253 - 264, presented at 2016 IEEE 32nd International Conference on Data Engineering (ICDE), Helsinki, Finland, 16 May 2016 - 20 May 2016, http://dx.doi.org/10.1109/ICDE.2016.7498245

Lyu B; Qin L; Lin X; Chang L; Yu JX, 2016, 'Scalable supergraph search in large graph databases', in 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, pp. 157 - 168, presented at 2016 IEEE 32nd International Conference on Data Engineering (ICDE), Helsinki, Finland, 16 May 2016 - 20 May 2016, http://dx.doi.org/10.1109/ICDE.2016.7498237

Yu Z; Wang H; Lin X; Wang M, 2016, 'Understanding short texts through semantic enrichment and hashing', in 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, pp. 1552 - 1553, presented at 32nd IEEE International Conference on Data Engineering, Helsinki, Finland, 16 May 2016 - 20 May 2016, http://dx.doi.org/10.1109/ICDE.2016.7498420

Yu Z; Wang H; Lin X; Wang M, 2016, 'Understanding Short Texts through Semantic Enrichment and Hashing', in 2016 32ND IEEE INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), IEEE, FINLAND, Helsinki, pp. 1552 - 1553, presented at 32nd IEEE International Conference on Data Engineering (ICDE), FINLAND, Helsinki, 16 May 2016 - 20 May 2016, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000382554200197&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Yuan L; Qin L; Lin X; Chang L; Zhang W, 2016, 'I/O efficient ECC graph decomposition via graph reduction', in Proceedings of the VLDB Endowment, pp. 516 - 527, http://dx.doi.org/10.14778/2904483.2904484

Wang Y; Wenjie Z; Wu L; Lin X; Fang M; Pan S, 2016, 'Iterative views agreement: An iterative low-rank based structured optimization method to multi-view spectral clustering', in IJCAI International Joint Conference on Artificial Intelligence, pp. 2153 - 2159

Zhang F; Zhang W; Zhang Y; Qin L; Lin X, 2016, 'OLAK: An efficient algorithm to prevent unraveling in social networks', in Proceedings of the VLDB Endowment, pp. 649 - 660, http://dx.doi.org/10.14778/3055330.3055332

Lai L; Qin L; Lin X; Zhang Y; Chang L; Yang S, 2016, 'Scalable distributed subgraph enumeration', in Proceedings of the VLDB Endowment, pp. 217 - 228, http://dx.doi.org/10.14778/3021924.3021937

Wang X; Zhang Y; Zhang W; Lin X; Huang Z, 2016, 'SKYPE: Top-k spatial-keyword publish/subscribe over sliding window', in Proceedings of the VLDB Endowment, pp. 588 - 599, http://dx.doi.org/10.14778/2904483.2904490


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