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Journal articles
2022, 'Span-reachability querying in large temporal graphs', VLDB Journal, 31, pp. 629 - 647, http://dx.doi.org/10.1007/s00778-021-00715-z
,2022, 'Continuous monitoring of moving skyline and top-k queries', VLDB Journal, 31, pp. 459 - 482, http://dx.doi.org/10.1007/s00778-021-00702-4
,2022, 'Editor's Note', WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 25, pp. 533 - 533, http://dx.doi.org/10.1007/s11280-022-01028-z
,2022, 'Polarity-based graph neural network for sign prediction in signed bipartite graphs', World Wide Web, 25, pp. 471 - 487, http://dx.doi.org/10.1007/s11280-022-01015-4
,2022, 'Answering reachability and K-reach queries on large graphs with label constraints', VLDB Journal, 31, pp. 101 - 127, http://dx.doi.org/10.1007/s00778-021-00695-0
,2021, 'Unsupervised Cross-View Feature Selection on incomplete data[Formula presented]', Knowledge-Based Systems, 234, http://dx.doi.org/10.1016/j.knosys.2021.107595
,2021, 'Discovering fortress-like cohesive subgraphs', Knowledge and Information Systems, 63, pp. 3217 - 3250, http://dx.doi.org/10.1007/s10115-021-01624-x
,2021, 'On Directed Densest Subgraph Discovery', ACM Transactions on Database Systems, 46, http://dx.doi.org/10.1145/3483940
,2021, 'CP-GNN: A Software for Community Detection in Heterogeneous Information Networks[Formula presented]', Software Impacts, 10, http://dx.doi.org/10.1016/j.simpa.2021.100169
,2021, 'Efficient Hop-constrained s-t Simple Path Enumeration', VLDB Journal, 30, pp. 799 - 823, http://dx.doi.org/10.1007/s00778-021-00674-5
,2021, 'Exploring cohesive subgraphs with vertex engagement and tie strength in bipartite graphs', Information Sciences, 572, pp. 277 - 296, http://dx.doi.org/10.1016/j.ins.2021.04.027
,2021, 'Keyword Search on Large Graphs: A Survey', Data Science and Engineering, 6, pp. 142 - 162, http://dx.doi.org/10.1007/s41019-021-00154-4
,2021, 'Efficient and High-Quality Seeded Graph Matching: Employing Higher-order Structural Information', ACM Transactions on Knowledge Discovery from Data, 15, http://dx.doi.org/10.1145/3442340
,2021, 'Efficient Directed Densest Subgraph Discovery', SIGMOD Record, 50, pp. 33 - 40, http://dx.doi.org/10.1145/3471485.3471494
,2021, 'A Coarse-to-fine approach for rock bolt detection from 3D point clouds', IEEE Access, 9, pp. 148873 - 148883, http://dx.doi.org/10.1109/ACCESS.2021.3120207
,2021, 'Communication-efficient distributed covariance sketch, with application to distributed PCA', Journal of Machine Learning Research, 22
,2021, 'Distributed Hop-Constrained s-t Simple Path Enumeration at Billion Scale', Proceedings of the VLDB Endowment, 15, pp. 169 - 182, http://dx.doi.org/10.14778/3489496.3489499
,2021, 'Efficient bi-triangle counting for large bipartite networks', Proceedings of the VLDB Endowment, 14, pp. 984 - 996, http://dx.doi.org/10.14778/3447689.3447702
,2021, 'Hierarchical core maintenance on large dynamic graphs', Proceedings of the VLDB Endowment, 14, pp. 757 - 770, http://dx.doi.org/10.14778/3446095.3446099
,2020, 'Softly Associative Transfer Learning for Cross-Domain Classification', IEEE Transactions on Cybernetics, 50, pp. 4709 - 4721, http://dx.doi.org/10.1109/TCYB.2019.2891577
,2020, 'Correction: A survey of community search over big graphs (The VLDB Journal, (2020), 29, 1, (353-392), 10.1007/s00778-019-00556-x)', VLDB Journal, 29, pp. 1219, http://dx.doi.org/10.1007/s00778-019-00592-7
,2020, 'Efficient (α , β)-core computation in bipartite graphs', VLDB Journal, 29, pp. 1075 - 1099, http://dx.doi.org/10.1007/s00778-020-00606-9
,2020, 'Approximate Nearest Neighbor Search on High Dimensional Data - Experiments, Analyses, and Improvement', IEEE Transactions on Knowledge and Data Engineering, 32, pp. 1475 - 1488, http://dx.doi.org/10.1109/TKDE.2019.2909204
,2020, 'ESPM: Efficient Spatial Pattern Matching', IEEE Transactions on Knowledge and Data Engineering, 32, pp. 1227 - 1233, http://dx.doi.org/10.1109/TKDE.2019.2947505
,2020, 'Finding Critical Users in Social Communities: The Collapsed Core and Truss Problems', IEEE Transactions on Knowledge and Data Engineering, 32, pp. 78 - 91, http://dx.doi.org/10.1109/TKDE.2018.2880976
,2019, 'Efficient community discovery with user engagement and similarity', VLDB Journal, 28, pp. 987 - 1012, http://dx.doi.org/10.1007/s00778-019-00579-4
,2019, 'Cost optimization based on influence and user preference', Knowledge and Information Systems, 61, pp. 695 - 732, http://dx.doi.org/10.1007/s10115-018-1290-y
,2019, 'Selectivity Estimation on Set Containment Search', Data Science and Engineering, 4, pp. 254 - 268, http://dx.doi.org/10.1007/s41019-019-00104-1
,2019, 'Spatial pattern matching', SIGSPATIAL Special, 11, pp. 3 - 12, http://dx.doi.org/10.1145/3355491.3355493
,2019, 'SimRank*: effective and scalable pairwise similarity search based on graph topology', VLDB Journal, 28, pp. 401 - 426, http://dx.doi.org/10.1007/s00778-018-0536-3
,2019, 'Hyperspectral imagery classification via stochastic HHSVMs', IEEE Transactions on Image Processing, 28, pp. 577 - 588, http://dx.doi.org/10.1109/TIP.2018.2869691
,2019, 'Vertex priority based butterfly counting for large-scale bipartite networks', Proceedings of the VLDB Endowment, 12, pp. 1139 - 1152, http://dx.doi.org/10.14778/3339490.3339497
,2018, 'Distributed computing connected components with linear communication cost', Distributed and Parallel Databases, 36, pp. 555 - 592, http://dx.doi.org/10.1007/s10619-018-7232-6
,2018, 'Efficient set containment join', VLDB Journal, 27, pp. 471 - 495, http://dx.doi.org/10.1007/s00778-018-0505-x
,2018, 'Index-Based Densest Clique Percolation Community Search in Networks', IEEE Transactions on Knowledge and Data Engineering, 30, pp. 922 - 935, http://dx.doi.org/10.1109/TKDE.2017.2783933
,2018, 'Dynamical SimRank search on time-varying networks', VLDB Journal, 27, pp. 79 - 104, http://dx.doi.org/10.1007/s00778-017-0488-z
,2018, 'Efficient structure similarity searches: a partition-based approach', VLDB Journal, 27, pp. 53 - 78, http://dx.doi.org/10.1007/s00778-017-0487-0
,2018, 'Metric Learning for Multi-output Tasks', IEEE Transactions on Pattern Analysis and Machine Intelligence, 41, http://dx.doi.org/10.1109/TPAMI.2018.2794976
,2018, 'On the flexibility of block coordinate descent for large-scale optimization', Neurocomputing, 272, pp. 471 - 480, http://dx.doi.org/10.1016/j.neucom.2017.07.024
,2017, 'Image registration via low-rank factorization and maximum rank resolving', Multimedia Tools and Applications, 76, pp. 23643 - 23659, http://dx.doi.org/10.1007/s11042-016-4125-4
,2017, 'Top-k spatial-keyword publish/subscribe over sliding window', VLDB Journal, 26, pp. 301 - 326, http://dx.doi.org/10.1007/s00778-016-0453-2
,2017, 'I/O efficient ECC graph decomposition via graph reduction', VLDB Journal, 26, pp. 275 - 300, http://dx.doi.org/10.1007/s00778-016-0451-4
,2017, 'Reverse k nearest neighbors queries and spatial reverse top-k queries', VLDB Journal, 26, pp. 151 - 176, http://dx.doi.org/10.1007/s00778-016-0445-2
,2017, 'Categorical top-k spatial influence query', World Wide Web, 20, pp. 175 - 203, http://dx.doi.org/10.1007/s11280-016-0383-3
,2017, 'Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval', IEEE Transactions on Image Processing, 26, pp. 1393 - 1404, http://dx.doi.org/10.1109/TIP.2017.2655449
,2017, 'Efficient Distance-Aware Influence Maximization in Geo-Social Networks', IEEE Transactions on Knowledge and Data Engineering, 29, pp. 599 - 612, http://dx.doi.org/10.1109/TKDE.2016.2633472
,2017, 'Bring Order into the Samples: A Novel Scalable Method for Influence Maximization', IEEE Transactions on Knowledge and Data Engineering, 29, pp. 243 - 256, http://dx.doi.org/10.1109/TKDE.2016.2624734
,2017, 'PSCAN : Fast and Exact Structural Graph Clustering', IEEE Transactions on Knowledge and Data Engineering, 29, pp. 387 - 401, http://dx.doi.org/10.1109/TKDE.2016.2618795
,2016, 'Efficient identification of local keyword patterns in microblogging platforms', IEEE Transactions on Knowledge and Data Engineering, 28, pp. 2621 - 2634, http://dx.doi.org/10.1109/TKDE.2016.2578330
,2016, 'Inverted Linear Quadtree: Efficient Top K Spatial Keyword Search', IEEE Transactions on Knowledge and Data Engineering, 28, pp. 1706 - 1721, http://dx.doi.org/10.1109/TKDE.2016.2530060
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