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2020, 'Fair task assignment in spatial crowdsourcing', Proceedings of the VLDB Endowment, 13, pp. 2479 - 2492, http://dx.doi.org/10.14778/3407790.3407839
,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, 'Eccentricities on small-world networks', VLDB Journal, 28, pp. 765 - 792, http://dx.doi.org/10.1007/s00778-019-00566-9
,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, 'Efficient structural graph clustering: an index-based approach', VLDB Journal, 28, pp. 377 - 399, http://dx.doi.org/10.1007/s00778-019-00541-4
,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, 'Leveraging set relations in exact and dynamic set similarity join', VLDB Journal, 28, pp. 267 - 292, http://dx.doi.org/10.1007/s00778-018-0529-2
,2019, 'Efficient Mining of Frequent Patterns on Uncertain Graphs', IEEE Transactions on Knowledge and Data Engineering, 31, pp. 287 - 300, http://dx.doi.org/10.1109/TKDE.2018.2830336
,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, 'Supergraph Search in Graph Databases via Hierarchical Feature-Tree', IEEE Transactions on Knowledge and Data Engineering, 31, pp. 385 - 400, http://dx.doi.org/10.1109/TKDE.2018.2833124
,2019, 'I/O Efficient Core Graph Decomposition: Application to Degeneracy Ordering', IEEE Transactions on Knowledge and Data Engineering, 31, pp. 75 - 90, http://dx.doi.org/10.1109/TKDE.2018.2833070
,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, 'Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization', IEEE Transactions on Neural Networks and Learning Systems, 29, pp. 4833 - 4843, http://dx.doi.org/10.1109/TNNLS.2017.2777489
,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, '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
,2017, 'GALLOP: GlobAL Feature Fused LOcation Prediction for Different Check-in Scenarios', IEEE Transactions on Knowledge and Data Engineering, 29, pp. 1874 - 1887, http://dx.doi.org/10.1109/TKDE.2017.2705083
,2017, 'Scalable subgraph enumeration in MapReduce: a cost-oriented approach', VLDB Journal, 26, pp. 421 - 446, http://dx.doi.org/10.1007/s00778-017-0459-4
,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, 'A Novel and Fast SimRank Algorithm', IEEE Transactions on Knowledge and Data Engineering, 29, pp. 572 - 585, http://dx.doi.org/10.1109/TKDE.2016.2626282
,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, 'Special Issue on Graph Processing: Techniques and Applications', Data Science and Engineering, 2, http://dx.doi.org/10.1007/s41019-017-0036-2
,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, 'Editorial', IEEE Transactions on Knowledge and Data Engineering, 29, pp. 1, http://dx.doi.org/10.1109/TKDE.2016.2619598
,2017, 'PC Chairs' Preface', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10234 LNAI, http://dx.doi.org/10.1007/978-3-319-57454-7
,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
,2016, 'Answering subgraph queries over massive disk resident graphs', World Wide Web, 19, pp. 417 - 448, http://dx.doi.org/10.1007/s11280-014-0322-0
,2016, 'Diversified top-k clique search', VLDB Journal, 25, pp. 171 - 196, http://dx.doi.org/10.1007/s00778-015-0408-z
,2016, 'Efficient Probabilistic Supergraph Search', IEEE Transactions on Knowledge and Data Engineering, 28, pp. 965 - 978, http://dx.doi.org/10.1109/TKDE.2015.2499201
,2016, 'BEVA: An efficient Query processing algorithm for error-tolerant autocompletion', ACM Transactions on Database Systems, 41, http://dx.doi.org/10.1145/2877201
,2016, 'Efficient Recovery of Missing Events', IEEE Transactions on Knowledge and Data Engineering, 28, pp. 2943 - 2957, http://dx.doi.org/10.1109/TKDE.2016.2594785
,2015, 'AP-Tree: efficiently support location-aware Publish/Subscribe', VLDB Journal, 24, pp. 823 - 848, http://dx.doi.org/10.1007/s00778-015-0403-4
,2015, 'Finding Top k Most Influential Spatial Facilities over Uncertain Objects', IEEE Transactions on Knowledge and Data Engineering, 27, pp. 3289 - 3303, http://dx.doi.org/10.1109/TKDE.2015.2457899
,2015, 'Unsupervised Metric Fusion over Multi-view Data by Graph Random Walk based Cross-view Diffusion', IEEE Transactions on Neural Networks and Learning Systems, http://dx.doi.org/10.1109/TNNLS.2015.2498149
,2015, 'Robust Subspace Clustering for Multi-View Data by Exploiting Correlation Consensus', IEEE Transactions on Image Processing, 24, pp. 3939 - 3949, http://dx.doi.org/10.1109/TIP.2015.2457339
,2015, 'Guest editorial: web information technologies', World Wide Web, 18, pp. 1199 - 1200, http://dx.doi.org/10.1007/s11280-015-0356-y
,2015, 'Fast All-Pairs SimRank Assessment on Large Graphs and Bipartite Domains', IEEE Transactions on Knowledge and Data Engineering, 27, pp. 1810 - 1823, http://dx.doi.org/10.1109/TKDE.2014.2339828
,2015, 'I/O efficient: computing SCCs in massive graphs', VLDB Journal, 24, pp. 245 - 270, http://dx.doi.org/10.1007/s00778-014-0372-z
,2015, 'Efficiently monitoring reverse κ-nearest neighbors in spatial networks', Computer Journal, 58, pp. 40 - 56, http://dx.doi.org/10.1093/comjnl/bxt115
,2015, 'I/O efficient: computing SCCs in massive graphs', VLDB Journal, 24, pp. 245 - 270, http://dx.doi.org/10.1007/s00778-014-0372-z
,2015, 'Optimal Enumeration: Efficient Top-k Tree Matching', , 8, pp. 533 - 544, http://dx.doi.org/10.14778/2735479.2735486
,2015, 'Reverse k Nearest Neighbors Query Processing: Experiments and Analysis', Proceedings of the VLDB Endowment, 2014-2015, 8, pp. 605 - 616
,2014, 'A unified framework for answering k closest pairs queries and variants', IEEE Transactions on Knowledge and Data Engineering, 26, pp. 2610 - 2624, http://dx.doi.org/10.1109/TKDE.2014.2304469
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