Professor Wenjie Zhang

Back to

Wenjie Zhang is a Professor, ARC Future Fellow, Head of the Data and Knowledge Research Group (https://unswdb.github.io/) and Deputy Head of School (Research) in the School of Computer Science and Engineering, the University of New South Wales, Australia. Her research interests include spatial-temporal data analysis, uncertain data analysis and graph data processing. Since 2008, she has published more than 160 papers in top venues such as TKDE, TODS, VLDBJ, SIGMOD, VLDB, and ICDE. She received the Australian Research Council Future Fellowship (FT3) in 2021 and Discovery Early Career Researcher Award in 2011. In 2019, she received the Chris Wallace Award for her significant contributions to large-scale graph data processing. Her research has been well supported by 12 Australian Research Council grants and several industry funded projects. Wenjie is an Associate Editor for IEEE Transactions on Knowledge and Data Engineering and The VLDB Journal. The full list of her publications (and presentation slides) : http://www.cse.unsw.edu.au/~zhangw/

Mutiple PhD scholarships (living allowance around $35k-$40k/year plus tuition fee waive) available. Send me an email (wenjie.zhang@unsw.edu.au) with your CV if you would like to pursue PhD degree in the area of large-scale dynamic data analytics and processing.

Current undergraduate students or master by course students in UNSW are encourged to contact me if you are interested in research degrees (Master by research or PhD) or research projects (honors thesis project or master research project).

Phone

+61 2 9385 7799

E-mail

wenjie.zhang@unsw.edu.au

Books | 2022

Fang Y; Wang K; Lin X; Zhang W, 2022, Cohesive Subgraph Search Over Large Heterogeneous Information Networks

Books | 2021

Zhang W; Zou L; Maamar Z; Chen L, 2021, Preface

Books | 2021

Zhang W; Zou L; Maamar Z; Chen L, 2021, Preface

Books | 2020

Qin L; Zhang W; Zhang Y; Peng Y; Kato H; Wang W; Xiao C, 2020, Preface

Books | 2016

Cheema MA; Zhang W; Chang L, 2016, Preface
Book Chapters | 2022

Fang Y; Wang K; Lin X; Zhang W, 2022, 'CSS on Bipartite Networks', in Cohesive Subgraph Search Over Large Heterogeneous Information Networks, pp. 11 - 26, http://dx.doi.org/10.1007/978-3-030-97568-5_3

Book Chapters | 2022

Fang Y; Wang K; Lin X; Zhang W, 2022, 'CSS on Other General HINs', in Cohesive Subgraph Search Over Large Heterogeneous Information Networks, pp. 27 - 46, http://dx.doi.org/10.1007/978-3-030-97568-5_4

Book Chapters | 2022

Fang Y; Wang K; Lin X; Zhang W, 2022, 'Comparison Analysis', in Cohesive Subgraph Search Over Large Heterogeneous Information Networks, pp. 47 - 55, http://dx.doi.org/10.1007/978-3-030-97568-5_5

Book Chapters | 2022

Fang Y; Wang K; Lin X; Zhang W, 2022, 'Future Work and Conclusion', in SpringerBriefs in Computer Science, pp. 61 - 63, http://dx.doi.org/10.1007/978-3-030-97568-5_7

Book Chapters | 2022

Fang Y; Wang K; Lin X; Zhang W, 2022, 'Introduction', in Cohesive Subgraph Search Over Large Heterogeneous Information Networks, pp. 1 - 5, http://dx.doi.org/10.1007/978-3-030-97568-5_1

Book Chapters | 2022

Fang Y; Wang K; Lin X; Zhang W, 2022, 'Preliminaries', in SpringerBriefs in Computer Science, pp. 7 - 9, http://dx.doi.org/10.1007/978-3-030-97568-5_2

Book Chapters | 2022

Fang Y; Wang K; Lin X; Zhang W, 2022, 'Related Work on CSMs and Solutions', in SpringerBriefs in Computer Science, pp. 57 - 60, http://dx.doi.org/10.1007/978-3-030-97568-5_6

Book Chapters | 2022

Li X; Hao K; Yang Z; Cao X; Zhang W; Yuan L; Lin X, 2022, 'Hop-Constrained s-t Simple Path Enumeration in Billion-Scale Labelled Graphs', in Web Information Systems Engineering – WISE 2022, Springer International Publishing, pp. 49 - 64, http://dx.doi.org/10.1007/978-3-031-20891-1_5

Book Chapters | 2021

Li S; Yang Z; Zhang X; Zhang W; Lin X, 2021, 'SQL2Cypher: Automated Data and Query Migration from RDBMS to GDBMS', in Web Information Systems Engineering – WISE 2021, Springer International Publishing, pp. 510 - 517, http://dx.doi.org/10.1007/978-3-030-91560-5_39
Journal articles | 2023

Li J; Saydam S; Xu Y; Liu B; Li B; Lin X; Zhang W, 2023, 'Class-aware tiny object recognition over large-scale 3D point clouds', Neurocomputing, vol. 529, pp. 166 - 181, http://dx.doi.org/10.1016/j.neucom.2023.01.094

Journal articles | 2023

Ukey N; Yang Z; Li B; Zhang G; Hu Y; Zhang W, 2023, 'Survey on Exact kNN Queries over High-Dimensional Data Space', Sensors, vol. 23, pp. 629 - 629, http://dx.doi.org/10.3390/s23020629

Journal articles | 2023

Wang K; Lin X; Qin L; Zhang W; Zhang Y, 2023, 'Accelerated butterfly counting with vertex priority on bipartite graphs', VLDB Journal, vol. 32, pp. 257 - 281, http://dx.doi.org/10.1007/s00778-022-00746-0

Journal articles | 2023

Wang K; Zhang W; Zhang Y; Qin L; Zhang Y, 2023, 'Discovering Significant Communities on Bipartite Graphs: An Index-Based Approach', IEEE Transactions on Knowledge and Data Engineering, vol. 35, pp. 2471 - 2485, http://dx.doi.org/10.1109/TKDE.2021.3111349

Journal articles | 2023

Wang K; Zhao G; Zhang W; Lin X; Zhang Y; He Y; Li C, 2023, 'Cohesive Subgraph Discovery over Uncertain Bipartite Graphs', IEEE Transactions on Knowledge and Data Engineering, pp. 1 - 14, http://dx.doi.org/10.1109/TKDE.2023.3234567

Journal articles | 2023

Wang X; Wen D; Qin L; Chang L; Zhang Y; Zhang W, 2023, 'ScaleG: A Distributed Disk-Based System for Vertex-Centric Graph Processing', IEEE Transactions on Knowledge and Data Engineering, vol. 35, pp. 2019 - 2033, http://dx.doi.org/10.1109/TKDE.2021.3101057

Journal articles | 2023

Zhang X; Wang H; Yu J; Chen C; Wang X; Zhang W, 2023, 'Bipartite graph capsule network', World Wide Web, vol. 26, pp. 421 - 440, http://dx.doi.org/10.1007/s11280-022-01009-2

Journal articles | 2022

Chang L; Feng X; Yao K; Qin L; Zhang W, 2022, 'Accelerating Graph Similarity Search via Efficient GED Computation', IEEE Transactions on Knowledge and Data Engineering, http://dx.doi.org/10.1109/TKDE.2022.3153523

Journal articles | 2022

Chen Z; Yuan L; Lin X; Qin L; Zhang W, 2022, 'Balanced Clique Computation in Signed Networks: Concepts and Algorithms', IEEE Transactions on Knowledge and Data Engineering, pp. 1 - 14, http://dx.doi.org/10.1109/TKDE.2022.3225562

Journal articles | 2022

Hidayat A; Cheema MA; Lin X; Zhang W; Zhang Y, 2022, 'Continuous monitoring of moving skyline and top-k queries', VLDB Journal, vol. 31, pp. 459 - 482, http://dx.doi.org/10.1007/s00778-021-00702-4

Journal articles | 2022

Huang C; Fang Y; Lin X; Cao X; Zhang W, 2022, 'ABLE: Meta-Path Prediction in Heterogeneous Information Networks', ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, vol. 16, http://dx.doi.org/10.1145/3494558

Journal articles | 2022

Peng Y; Lin X; Zhang Y; Zhang W; Qin L, 2022, 'Answering reachability and K-reach queries on large graphs with label constraints', VLDB Journal, vol. 31, pp. 101 - 127, http://dx.doi.org/10.1007/s00778-021-00695-0

Journal articles | 2022

Wen D; Yang B; Zhang Y; Qin L; Cheng D; Zhang W, 2022, 'Span-reachability querying in large temporal graphs', VLDB Journal, vol. 31, pp. 629 - 647, http://dx.doi.org/10.1007/s00778-021-00715-z

Journal articles | 2022

Zhang X; Wang H; Yu J; Chen C; Wang X; Zhang W, 2022, 'Polarity-based graph neural network for sign prediction in signed bipartite graphs', World Wide Web, vol. 25, pp. 471 - 487, http://dx.doi.org/10.1007/s11280-022-01015-4

Journal articles | 2022

Zhao Y; Chen Z; Chen C; Wang X; Lin X; Zhang W, 2022, 'Finding the Maximum k-Balanced Biclique on Weighted Bipartite Graphs', IEEE Transactions on Knowledge and Data Engineering, vol. PP, pp. 1 - 14, http://dx.doi.org/10.1109/tkde.2022.3206351

Journal articles | 2021

Hao K; Yuan L; Zhang W, 2021, 'Distributed Hop-Constrained s-t Simple Path Enumeration at Billion Scale', Proceedings of the VLDB Endowment, vol. 15, pp. 169 - 182, http://dx.doi.org/10.14778/3489496.3489499

Journal articles | 2021

He Y; Wang K; Zhang W; Lin X; Zhang Y, 2021, 'Exploring cohesive subgraphs with vertex engagement and tie strength in bipartite graphs', Information Sciences, vol. 572, pp. 277 - 296, http://dx.doi.org/10.1016/j.ins.2021.04.027

Journal articles | 2021

Huang Z; Lin X; Zhang W; Zhang Y, 2021, 'Communication-efficient distributed covariance sketch, with application to distributed PCA', Journal of Machine Learning Research, vol. 22

Journal articles | 2021

Li C; Zhang F; Zhang Y; Qin L; Zhang W; Lin X, 2021, 'Discovering fortress-like cohesive subgraphs', Knowledge and Information Systems, vol. 63, pp. 3217 - 3250, http://dx.doi.org/10.1007/s10115-021-01624-x

Journal articles | 2021

Lin Z; Zhang F; Lin X; Zhang W; Tian Z, 2021, 'Hierarchical core maintenance on large dynamic graphs', Proceedings of the VLDB Endowment, vol. 14, pp. 757 - 770, http://dx.doi.org/10.14778/3446095.3446099

Journal articles | 2021

Luo L; Fang Y; Cao X; Zhang X; Zhang W, 2021, 'CP-GNN: A Software for Community Detection in Heterogeneous Information Networks[Formula presented]', Software Impacts, vol. 10, http://dx.doi.org/10.1016/j.simpa.2021.100169

Journal articles | 2021

Ma C; Fang Y; Cheng R; Lakshmanan LVS; Zhang W; Lin X, 2021, 'Efficient Directed Densest Subgraph Discovery', SIGMOD Record, vol. 50, pp. 33 - 40, http://dx.doi.org/10.1145/3471485.3471494

Journal articles | 2021

Ma C; Fang Y; Cheng R; Lakshmanan LVS; Zhang W; Lin X, 2021, 'On Directed Densest Subgraph Discovery', ACM Transactions on Database Systems, vol. 46, http://dx.doi.org/10.1145/3483940

Journal articles | 2021

Peng Y; Lin X; Zhang Y; Zhang W; Qin L; Zhou J, 2021, 'Efficient Hop-constrained s-t Simple Path Enumeration', VLDB Journal, vol. 30, pp. 799 - 823, http://dx.doi.org/10.1007/s00778-021-00674-5

Journal articles | 2021

Saydam S; Liu B; Li B; Zhang W; Singh SK; Raval S, 2021, 'A Coarse-to-fine approach for rock bolt detection from 3D point clouds', IEEE Access, vol. 9, pp. 148873 - 148883, http://dx.doi.org/10.1109/ACCESS.2021.3120207

Journal articles | 2021

Xu Y; Yin Y; Wang J; Wei J; Liu J; Yao L; Zhang W, 2021, 'Unsupervised Cross-View Feature Selection on incomplete data[Formula presented]', Knowledge-Based Systems, vol. 234, http://dx.doi.org/10.1016/j.knosys.2021.107595

Journal articles | 2021

Yang J; Yao W; Zhang W, 2021, 'Keyword Search on Large Graphs: A Survey', Data Science and Engineering, vol. 6, pp. 142 - 162, http://dx.doi.org/10.1007/s41019-021-00154-4

Journal articles | 2021

Yang Y; Fang Y; Orlowska ME; Zhang W; Lin X, 2021, 'Efficient bi-triangle counting for large bipartite networks', Proceedings of the VLDB Endowment, vol. 14, pp. 984 - 996, http://dx.doi.org/10.14778/3447689.3447702

Journal articles | 2021

Zhang H; Huang Z; Lin X; Lin Z; Zhang W; Zhang Y, 2021, 'Efficient and High-Quality Seeded Graph Matching: Employing Higher-order Structural Information', ACM Transactions on Knowledge Discovery from Data, vol. 15, http://dx.doi.org/10.1145/3442340

Journal articles | 2020

Chen H; Fang Y; Zhang Y; Zhang W; Wang L, 2020, 'ESPM: Efficient Spatial Pattern Matching', IEEE Transactions on Knowledge and Data Engineering, vol. 32, pp. 1227 - 1233, http://dx.doi.org/10.1109/TKDE.2019.2947505

Journal articles | 2020

Fang Y; Huang X; Qin L; Zhang Y; Zhang W; Cheng R; Lin X, 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, vol. 29, pp. 1219, http://dx.doi.org/10.1007/s00778-019-00592-7

Journal articles | 2020

Li W; Zhang Y; Sun Y; Wang W; Li M; Zhang W; Lin X, 2020, 'Approximate Nearest Neighbor Search on High Dimensional Data - Experiments, Analyses, and Improvement', IEEE Transactions on Knowledge and Data Engineering, vol. 32, pp. 1475 - 1488, http://dx.doi.org/10.1109/TKDE.2019.2909204

Journal articles | 2020

Liu B; Yuan L; Lin X; Qin L; Zhang W; Zhou J, 2020, 'Efficient (α , β)-core computation in bipartite graphs', VLDB Journal, vol. 29, pp. 1075 - 1099, http://dx.doi.org/10.1007/s00778-020-00606-9

Journal articles | 2020

Wang D; Lu C; Wu J; Liu H; Zhang W; Zhuang F; Zhang H, 2020, 'Softly Associative Transfer Learning for Cross-Domain Classification', IEEE Transactions on Cybernetics, vol. 50, pp. 4709 - 4721, http://dx.doi.org/10.1109/TCYB.2019.2891577

Journal articles | 2020

Zhang F; Li C; Zhang Y; Qin L; Zhang W, 2020, 'Finding Critical Users in Social Communities: The Collapsed Core and Truss Problems', IEEE Transactions on Knowledge and Data Engineering, vol. 32, pp. 78 - 91, http://dx.doi.org/10.1109/TKDE.2018.2880976

Journal articles | 2019

Li Y; Fang Y; Cheng R; Zhang W, 2019, 'Spatial pattern matching', SIGSPATIAL Special, vol. 11, pp. 3 - 12, http://dx.doi.org/10.1145/3355491.3355493

Journal articles | 2019

Liu W; Shen X; Du B; Tsang IW; Zhang W; Lin X, 2019, 'Hyperspectral imagery classification via stochastic HHSVMs', IEEE Transactions on Image Processing, vol. 28, pp. 577 - 588, http://dx.doi.org/10.1109/TIP.2018.2869691

Journal articles | 2019

Wang K; Lin X; Qin L; Zhang W; Zhang Y, 2019, 'Vertex priority based butterfly counting for large-scale bipartite networks', Proceedings of the VLDB Endowment, vol. 12, pp. 1139 - 1152, http://dx.doi.org/10.14778/3339490.3339497

Journal articles | 2019

Yang J; Zhang Y; Zhang W; Lin X, 2019, 'Cost optimization based on influence and user preference', Knowledge and Information Systems, vol. 61, pp. 695 - 732, http://dx.doi.org/10.1007/s10115-018-1290-y

Journal articles | 2019

Yang Y; Zhang W; Zhang Y; Lin X; Wang L, 2019, 'Selectivity Estimation on Set Containment Search', Data Science and Engineering, vol. 4, pp. 254 - 268, http://dx.doi.org/10.1007/s41019-019-00104-1

Journal articles | 2019

Yu W; Lin X; Zhang W; Pei J; McCann JA, 2019, 'SimRank*: effective and scalable pairwise similarity search based on graph topology', VLDB Journal, vol. 28, pp. 401 - 426, http://dx.doi.org/10.1007/s00778-018-0536-3

Journal articles | 2019

Zhang F; Lin X; Zhang Y; Qin L; Zhang W, 2019, 'Efficient community discovery with user engagement and similarity', VLDB Journal, vol. 28, pp. 987 - 1012, http://dx.doi.org/10.1007/s00778-019-00579-4

Journal articles | 2018

Feng X; Chang L; Lin X; Qin L; Zhang W; Yuan L, 2018, 'Distributed computing connected components with linear communication cost', Distributed and Parallel Databases, vol. 36, pp. 555 - 592, http://dx.doi.org/10.1007/s10619-018-7232-6

Journal articles | 2018

Liu W; Xu D; Tsang I; Zhang W, 2018, 'Metric Learning for Multi-output Tasks', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, pp. 408 - 422, http://dx.doi.org/10.1109/TPAMI.2018.2794976

Journal articles | 2018

Wang X; Zhang W; Yan J; Yuan X; Zha H, 2018, 'On the flexibility of block coordinate descent for large-scale optimization', Neurocomputing, vol. 272, pp. 471 - 480, http://dx.doi.org/10.1016/j.neucom.2017.07.024

Journal articles | 2018

Yang J; Zhang W; Yang S; Zhang Y; Lin X; Yuan L, 2018, 'Efficient set containment join', VLDB Journal, vol. 27, pp. 471 - 495, http://dx.doi.org/10.1007/s00778-018-0505-x

Journal articles | 2018

Yu W; Lin X; Zhang W; McCann JA, 2018, 'Dynamical SimRank search on time-varying networks', VLDB Journal, vol. 27, pp. 79 - 104, http://dx.doi.org/10.1007/s00778-017-0488-z

Journal articles | 2018

Yuan L; Qin L; Zhang W; Chang L; Yang J, 2018, 'Index-Based Densest Clique Percolation Community Search in Networks', IEEE Transactions on Knowledge and Data Engineering, vol. 30, pp. 922 - 935, http://dx.doi.org/10.1109/TKDE.2017.2783933

Journal articles | 2018

Zhao X; Xiao C; Lin X; Zhang W; Wang Y, 2018, 'Efficient structure similarity searches: a partition-based approach', VLDB Journal, vol. 27, pp. 53 - 78, http://dx.doi.org/10.1007/s00778-017-0487-0

Journal articles | 2017

Chang L; Li W; Qin L; Zhang W; Yang S, 2017, 'PSCAN : Fast and Exact Structural Graph Clustering', IEEE Transactions on Knowledge and Data Engineering, vol. 29, pp. 387 - 401, http://dx.doi.org/10.1109/TKDE.2016.2618795

Journal articles | 2017

Wang X; Zhang W; Zhang Y; Lin X; Huang Z, 2017, 'Top-k spatial-keyword publish/subscribe over sliding window', VLDB Journal, vol. 26, pp. 301 - 326, http://dx.doi.org/10.1007/s00778-016-0453-2

Journal articles | 2017

Wang X; Zhang Y; Zhang W; Lin X, 2017, 'Efficient Distance-Aware Influence Maximization in Geo-Social Networks', IEEE Transactions on Knowledge and Data Engineering, vol. 29, pp. 599 - 612, http://dx.doi.org/10.1109/TKDE.2016.2633472

Journal articles | 2017

Wang X; Zhang Y; Zhang W; Lin X; Chen C, 2017, 'Bring Order into the Samples: A Novel Scalable Method for Influence Maximization', IEEE Transactions on Knowledge and Data Engineering, vol. 29, pp. 243 - 256, http://dx.doi.org/10.1109/TKDE.2016.2624734

Journal articles | 2017

Wang Y; Lin X; Wu L; Zhang W, 2017, 'Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval', IEEE Transactions on Image Processing, vol. 26, pp. 1393 - 1404, http://dx.doi.org/10.1109/TIP.2017.2655449

Journal articles | 2017

Yang J; Zhang W; Zhang Y; Wang X; Lin X, 2017, 'Categorical top-k spatial influence query', World Wide Web, vol. 20, pp. 175 - 203, http://dx.doi.org/10.1007/s11280-016-0383-3

Journal articles | 2017

Yang S; Cheema MA; Lin X; Zhang Y; Zhang W, 2017, 'Reverse k nearest neighbors queries and spatial reverse top-k queries', VLDB Journal, vol. 26, pp. 151 - 176, http://dx.doi.org/10.1007/s00778-016-0445-2

Journal articles | 2017

Yuan L; Qin L; Lin X; Chang L; Zhang W, 2017, 'I/O efficient ECC graph decomposition via graph reduction', VLDB Journal, vol. 26, pp. 275 - 300, http://dx.doi.org/10.1007/s00778-016-0451-4

Journal articles | 2016

Wang X; Zhang Y; Zhang W; Lin X, 2016, 'Efficient identification of local keyword patterns in microblogging platforms', IEEE Transactions on Knowledge and Data Engineering, vol. 28, pp. 2621 - 2634, http://dx.doi.org/10.1109/TKDE.2016.2578330

Journal articles | 2016

Wang Y; Lin X; Wu L; Zhang Q; Zhang W, 2016, 'Shifting multi-hypergraphs via collaborative probabilistic voting', Knowledge and Information Systems, vol. 46, pp. 515 - 536, http://dx.doi.org/10.1007/s10115-015-0833-8

Journal articles | 2016

Yuan L; Qin L; Lin X; Chang L; Zhang W, 2016, 'Diversified top-k clique search', VLDB Journal, vol. 25, pp. 171 - 196, http://dx.doi.org/10.1007/s00778-015-0408-z

Journal articles | 2016

Zhang C; Zhang Y; Zhang W; Lin X, 2016, 'Inverted Linear Quadtree: Efficient Top K Spatial Keyword Search', IEEE Transactions on Knowledge and Data Engineering, vol. 28, pp. 1706 - 1721, http://dx.doi.org/10.1109/TKDE.2016.2530060

Journal articles | 2016

Zhang W; Lin X; Zhang Y; Zhu K; Zhu G, 2016, 'Efficient Probabilistic Supergraph Search', IEEE Transactions on Knowledge and Data Engineering, vol. 28, pp. 965 - 978, http://dx.doi.org/10.1109/TKDE.2015.2499201

Journal articles | 2015

Chang L; Lin X; Zhang W; Yu JX; Zhang Y; Qin L, 2015, 'Optimal Enumeration: Efficient Top-k Tree Matching', Proceedings of the VLDB Endowment, vol. 8, pp. 533 - 544, http://dx.doi.org/10.14778/2735479.2735486

Journal articles | 2015

Wang W; Zhang W, 2015, 'Guest editorial: web applications and techniques', World Wide Web, vol. 18, pp. 1391 - 1392, http://dx.doi.org/10.1007/s11280-015-0345-1

Journal articles | 2015

Wang X; Zhang Y; Zhang W; Lin X; Wang W, 2015, 'AP-Tree: efficiently support location-aware Publish/Subscribe', VLDB Journal, vol. 24, pp. 823 - 848, http://dx.doi.org/10.1007/s00778-015-0403-4

Journal articles | 2015

Wang Y; Lin X; Wu L; Zhang W; Zhang Q; Huang X, 2015, 'Robust Subspace Clustering for Multi-View Data by Exploiting Correlation Consensus', IEEE Transactions on Image Processing, vol. 24, pp. 3939 - 3949, http://dx.doi.org/10.1109/TIP.2015.2457339

Journal articles | 2015

Wang Y; Lin X; Wu L; Zhang W; Zhao X, 2015, 'Unsupervised Metric Fusion over Multi-view Data by Graph Random Walk based Cross-view Diffusion', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, pp. 57 - 70, http://dx.doi.org/10.1109/TNNLS.2015.2498149

Journal articles | 2015

Yu W; Lin X; Zhang W; McCann JA, 2015, 'Fast All-Pairs SimRank Assessment on Large Graphs and Bipartite Domains', IEEE Transactions on Knowledge and Data Engineering, vol. 27, pp. 1810 - 1823, http://dx.doi.org/10.1109/TKDE.2014.2339828

Journal articles | 2015

Zhan L; Zhang Y; Zhang W; Lin X, 2015, 'Finding Top k Most Influential Spatial Facilities over Uncertain Objects', IEEE Transactions on Knowledge and Data Engineering, vol. 27, pp. 3289 - 3303, http://dx.doi.org/10.1109/TKDE.2015.2457899

Journal articles | 2015

Zhang W; Li A; Cheema MA; Zhang Y; Chang L, 2015, 'Probabilistic n-of-N skyline computation over uncertain data streams', World Wide Web, vol. 18, pp. 1331 - 1350, http://dx.doi.org/10.1007/s11280-014-0292-2

Journal articles | 2014

Cheema MA; Lin X; Wang H; Wang J; Zhang W, 2014, 'A unified framework for answering k closest pairs queries and variants', IEEE Transactions on Knowledge and Data Engineering, vol. 26, pp. 2610 - 2624, http://dx.doi.org/10.1109/TKDE.2014.2304469

Journal articles | 2014

Zhang W; Li A; Cheema MA; Zhang Y; Chang L, 2014, 'Probabilistic n-of-N skyline computation over uncertain data streams', World Wide Web, http://dx.doi.org/10.1007/s11280-014-0292-2

Journal articles | 2014

Zhang W; Li A; Cheema MA; Zhang Y; Chang L, 2014, 'Probabilistic n-of-N skyline computation over uncertain data streams', World Wide Web, vol. 18, pp. 1331 - 1350, http://dx.doi.org/10.1007/s11280-014-0292-2

Journal articles | 2014

Zhang Y; Zhang W; Lin Q; Lin X; Shen HT, 2014, 'Effectively indexing the multidimensional uncertain objects', IEEE Transactions on Knowledge and Data Engineering, vol. 26, pp. 608 - 622, http://dx.doi.org/10.1109/TKDE.2013.21

Journal articles | 2014

Zhang Y; Zhang W; Pei J; Lin X; Lin Q; Li A, 2014, 'Consensus-based ranking of multivalued objects: A generalized borda count approach', IEEE Transactions on Knowledge and Data Engineering, vol. 26, pp. 83 - 96, http://dx.doi.org/10.1109/TKDE.2012.250

Journal articles | 2013

Lin Q; Zhang Y; Zhang W; Lin X, 2013, 'Efficient general spatial skyline computation', World Wide Web, vol. 16, pp. 247 - 270, http://dx.doi.org/10.1007/s11280-012-0185-1

Journal articles | 2013

Yu W; Lin X; Zhang W, 2013, 'Towards efficient SimRank computation on large networks', Proceedings - International Conference on Data Engineering, pp. 601 - 612, http://dx.doi.org/10.1109/ICDE.2013.6544859

Journal articles | 2013

Yu W; Lin X; Zhang W; Chang L; Pei J, 2013, 'More is simpler: Effectively and efficiently assessing nodepair similarities based on hyperlinks', Proceedings of the VLDB Endowment, vol. 7, pp. 13 - 24, http://dx.doi.org/10.14778/2732219.2732221

Journal articles | 2013

Zhao X; Shang H; Zhang W; Lin X; Xiao W, 2013, 'On efficient graph substructure selection', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7826 LNCS, pp. 284 - 300, http://dx.doi.org/10.1007/978-3-642-37450-0_22

Journal articles | 2013

Zhao X; Xiao C; Lin X; Liu Q; Zhang W, 2013, 'A partitionbased approach to structure similarity search', Proceedings of the VLDB Endowment, vol. 7, pp. 169 - 180, http://dx.doi.org/10.14778/2732232.2732236

Journal articles | 2012

Cheema MA; Zhang W; Lin X; Zhang Y; Li X, 2012, 'Continuous Reverse k Nearest Neighbors Queries in Euclidean Space and in Spatial Networks', International Journal on Very Large Data Bases (VLDB), vol. 21, pp. 69 - 95, http://dx.doi.org/10.1007/s00778-011-0235-9

Journal articles | 2012

Yu W; Zhang W; Lin X; Zhang Q; Le J, 2012, 'A space and time efficient algorithm for SimRank computation', World Wide Web - Internet and Web Information Systems, vol. 15, pp. 327 - 352, http://dx.doi.org/10.1007/s11280-010-0100-6

Journal articles | 2012

Zhang Y; Lin X; Tao Y; Zhang W; Wang H, 2012, 'Efficient computation of range aggregates against uncertain location-based queries', IEEE Transactions on Knowledge and Data Engineering, vol. 24, pp. 1244 - 1258, http://dx.doi.org/10.1109/TKDE.2011.46

Journal articles | 2011

Cheema MA; Brankovic L; Lin X; Zhang W; Wang W, 2011, 'Continuous Monitoring of Distance-Based Range Queries', IEEE Transactions on Knowledge and Data Engineering, vol. 23, pp. 1182 - 1199, http://dx.doi.org/10.1109/TKDE.2010.246

Journal articles | 2010

Cheema MA; Lin X; Wang W; Zhang W; Pei J, 2010, 'Probabilistic Reverse Nearest Neighbor Queries on Uncertain Data', IEEE Transactions on Knowledge and Data Engineering, vol. 22, pp. 550 - 564, http://dx.doi.org/10.1109/TKDE.2009.108

Journal articles | 2010

Zhang W; Zhang Y; Cheema MA; Lin X, 2010, 'Counting Distinct Objects over Sliding Windows', Conferences in Research and Practice in Information Technology Series, vol. 104, pp. 75 - 84

Journal articles | 2009

Yang S; Zhang W; Zhang Y; Lin X, 2009, 'Probabilistic threshold range aggregate query processing over uncertain data', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5446, pp. 51 - 62, http://dx.doi.org/10.1007/978-3-642-00672-2_7
Conference Papers | 2022

Chu D; Zhang F; Zhang W; Lin X; Zhang Y, 2022, 'Hierarchical Core Decomposition in Parallel: From Construction to Subgraph Search', in Proceedings - International Conference on Data Engineering, IEEE, pp. 1138 - 1151, presented at 2022 IEEE 38th International Conference on Data Engineering (ICDE), 09 May 2022 - 12 May 2022, http://dx.doi.org/10.1109/ICDE53745.2022.00090

Conference Papers | 2022

Feng Q; Peng Y; Zhang W; Zhang Y; Lin X, 2022, 'Towards Real-Time Counting Shortest Cycles on Dynamic Graphs: A Hub Labeling Approach', in Proceedings - International Conference on Data Engineering, IEEE, pp. 512 - 524, presented at 2022 IEEE 38th International Conference on Data Engineering (ICDE), 09 May 2022 - 12 May 2022, http://dx.doi.org/10.1109/ICDE53745.2022.00043

Conference Papers | 2022

He Y; Wang K; Zhang W; Lin X; Zhang Y, 2022, 'Efficient Reinforcement of Bipartite Networks at Billion Scale', in Proceedings - International Conference on Data Engineering, IEEE, pp. 446 - 458, presented at 2022 IEEE 38th International Conference on Data Engineering (ICDE), 09 May 2022 - 12 May 2022, http://dx.doi.org/10.1109/ICDE53745.2022.00038

Conference Papers | 2022

Huang C; Fang Y; Lin X; Cao X; Zhang W; Orlowska M, 2022, 'Estimating Node Importance Values in Heterogeneous Information Networks', in Proceedings - International Conference on Data Engineering, IEEE, pp. 846 - 858, presented at 2022 IEEE 38th International Conference on Data Engineering (ICDE), 09 May 2022 - 12 May 2022, http://dx.doi.org/10.1109/ICDE53745.2022.00068

Conference Papers | 2022

Jin J; Cheng P; Chen L; Lin X; Zhang W, 2022, 'GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models', in Proceedings - International Conference on Data Engineering, IEEE, pp. 1193 - 1205, presented at 2022 IEEE 38th International Conference on Data Engineering (ICDE), 09 May 2022 - 12 May 2022, http://dx.doi.org/10.1109/ICDE53745.2022.00094

Conference Papers | 2022

Li X; Hao K; Yang Z; Cao X; Zhang W, 2022, 'Hop-Constrained s-t Simple Path Enumeration in Large Uncertain Graphs', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer International Publishing, pp. 115 - 127, http://dx.doi.org/10.1007/978-3-031-15512-3_9

Conference Papers | 2022

Linghu Q; Zhang F; Lin X; Zhang W; Zhang Y, 2022, 'Anchored coreness: efficient reinforcement of social networks', in VLDB Journal, pp. 227 - 252, http://dx.doi.org/10.1007/s00778-021-00673-6

Conference Papers | 2022

Pan L; Yao L; Zhang W; Wang X, 2022, 'Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 386 - 394, http://dx.doi.org/10.1007/978-3-031-20891-1_27

Conference Papers | 2022

Sun R; Wu Y; Chen C; Wang X; Zhang W; Lin X, 2022, 'Maximal Balanced Signed Biclique Enumeration in Signed Bipartite Graphs', in Proceedings - International Conference on Data Engineering, IEEE, pp. 1887 - 1899, presented at 2022 IEEE 38th International Conference on Data Engineering (ICDE), 09 May 2022 - 12 May 2022, http://dx.doi.org/10.1109/ICDE53745.2022.00187

Conference Papers | 2022

Ukey N; Yang Z; Zhang G; Liu B; Li B; Zhang W, 2022, 'Efficient kNN Join over Dynamic High-Dimensional Data', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 63 - 75, http://dx.doi.org/10.1007/978-3-031-15512-3_5

Conference Papers | 2022

Wang H; Hu R; Zhang Y; Qin L; Wang W; Zhang W, 2022, 'Neural Subgraph Counting with Wasserstein Estimator', in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 160 - 175, http://dx.doi.org/10.1145/3514221.3526163

Conference Papers | 2022

Wang H; Zhang Y; Qin L; Wang W; Zhang W; Lin X, 2022, 'Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching', in Proceedings - International Conference on Data Engineering, IEEE, pp. 245 - 258, presented at 2022 IEEE 38th International Conference on Data Engineering (ICDE), 09 May 2022 - 12 May 2022, http://dx.doi.org/10.1109/ICDE53745.2022.00023

Conference Papers | 2022

Wang J; Cheng P; Zheng L; Chen L; Zhang W, 2022, 'Online Ridesharing with Meeting Points', in Proceedings of the VLDB Endowment, pp. 3963 - 3975, http://dx.doi.org/10.14778/3565838.3565849

Conference Papers | 2022

Wang K; Lin X; Qin L; Zhang W; Zhang Y, 2022, 'Towards efficient solutions of bitruss decomposition for large-scale bipartite graphs', in VLDB Journal, pp. 203 - 226, http://dx.doi.org/10.1007/s00778-021-00658-5

Conference Papers | 2022

Wang K; Zhang W; Lin X; Qin L; Zhou A, 2022, 'Efficient Personalized Maximum Biclique Search', in Proceedings - International Conference on Data Engineering, IEEE, pp. 498 - 511, presented at 2022 IEEE 38th International Conference on Data Engineering (ICDE), 09 May 2022 - 12 May 2022, http://dx.doi.org/10.1109/ICDE53745.2022.00042

Conference Papers | 2022

Wang K; Zhang W; Lin X; Zhang Y; Li S, 2022, 'Discovering Hierarchy of Bipartite Graphs with Cohesive Subgraphs', in Proceedings - International Conference on Data Engineering, IEEE, pp. 2291 - 2305, presented at 2022 IEEE 38th International Conference on Data Engineering (ICDE), 09 May 2022 - 12 May 2022, http://dx.doi.org/10.1109/ICDE53745.2022.00217

Conference Abstracts | 2022

Wang X; Wen D; Qin L; Chang L; Zhang W, 2022, 'ScaleG: A Distributed Disk-based System for Vertex-centric Graph Processing (Extended Abstract)', in Proceedings - International Conference on Data Engineering, IEEE, Vol. 2022-May, pp. 1511 - 1512, presented at 2022 IEEE 38th International Conference on Data Engineering (ICDE), 09 May 2022 - 12 May 2022, http://dx.doi.org/10.1109/ICDE53745.2022.00132

Conference Papers | 2022

Wang Y; Yuan Y; Zhang W; Zhang Y; Lin X; Wang G, 2022, 'Reachability-Driven Influence Maximization in Time-dependent Road-social Networks', in Proceedings - International Conference on Data Engineering, IEEE, pp. 367 - 379, presented at 2022 IEEE 38th International Conference on Data Engineering (ICDE), 09 May 2022 - 12 May 2022, http://dx.doi.org/10.1109/ICDE53745.2022.00032

Conference Papers | 2022

Yang P; Wang H; Lian D; Zhang Y; Qin L; Zhang W, 2022, 'TMN: Trajectory Matching Networks for Predicting Similarity', in Proceedings - International Conference on Data Engineering, IEEE, pp. 1700 - 1713, presented at 2022 IEEE 38th International Conference on Data Engineering (ICDE), 09 May 2022 - 12 May 2022, http://dx.doi.org/10.1109/ICDE53745.2022.00173

Conference Papers | 2022

Yu Y; Wen D; Zhang Y; Qin L; Zhang W; Lin X, 2022, 'GPU-accelerated Proximity Graph Approximate Nearest Neighbor Search and Construction', in Proceedings - International Conference on Data Engineering, IEEE, pp. 552 - 564, presented at 2022 IEEE 38th International Conference on Data Engineering (ICDE), 09 May 2022 - 12 May 2022, http://dx.doi.org/10.1109/ICDE53745.2022.00046

Conference Papers | 2022

Yuan Z; Peng Y; Cheng P; Han L; Lin X; Chen L; Zhang W, 2022, 'Efficient k-clique Listing with Set Intersection Speedup', in Proceedings - International Conference on Data Engineering, IEEE, pp. 1955 - 1968, presented at 2022 IEEE 38th International Conference on Data Engineering (ICDE), 09 May 2022 - 12 May 2022, http://dx.doi.org/10.1109/ICDE53745.2022.00192

Conference Papers | 2022

Zhao G; Wang K; Zhang W; Lin X; Zhang Y; He Y, 2022, 'Efficient Computation of Cohesive Subgraphs in Uncertain Bipartite Graphs', in Proceedings - International Conference on Data Engineering, IEEE, pp. 2333 - 2345, presented at 2022 IEEE 38th International Conference on Data Engineering (ICDE), 09 May 2022 - 12 May 2022, http://dx.doi.org/10.1109/ICDE53745.2022.00220

Conference Papers | 2021

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

Conference Papers | 2021

Lai Z; Peng Y; Yang S; Lin X; Zhang W, 2021, 'PEFP: Efficient k-hop constrained s-t simple path enumeration on FPGA', in Proceedings - International Conference on Data Engineering, IEEE, pp. 1320 - 1331, presented at 2021 IEEE 37th International Conference on Data Engineering (ICDE), 19 April 2021 - 22 April 2021, http://dx.doi.org/10.1109/ICDE51399.2021.00118

Preprints | 2021

Linghu Q; Zhang F; Lin X; Zhang W; Zhang Y, 2021, Towards User Engagement Dynamics in Social Networks, http://dx.doi.org/10.48550/arxiv.2110.12193

Conference Papers | 2021

Liu B; Zhang F; Zhang W; Lin X; Zhang Y, 2021, 'Efficient community search with size constraint', in Proceedings - International Conference on Data Engineering, IEEE, pp. 97 - 108, presented at 2021 IEEE 37th International Conference on Data Engineering (ICDE), 19 April 2021 - 22 April 2021, http://dx.doi.org/10.1109/ICDE51399.2021.00016

Conference Papers | 2021

Luo L; Fang Y; Cao X; Zhang X; Zhang W, 2021, 'Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model', in International Conference on Information and Knowledge Management, Proceedings, pp. 1170 - 1180, http://dx.doi.org/10.1145/3459637.3482250

Conference Papers | 2021

Peng Y; Zhao W; Zhang W; Lin X; Zhang Y, 2021, 'DLQ: A System for Label-Constrained Reachability Queries on Dynamic Graphs', in International Conference on Information and Knowledge Management, Proceedings, pp. 4764 - 4768, http://dx.doi.org/10.1145/3459637.3481978

Conference Papers | 2021

Wang J; Yang J; Zhang W, 2021, 'Top-k Tree Similarity Join', in International Conference on Information and Knowledge Management, Proceedings, pp. 1939 - 1948, http://dx.doi.org/10.1145/3459637.3482304

Conference Papers | 2021

Wang K; Hu Y; Lin X; Zhang W; Qin L; Zhang Y, 2021, 'A Cohesive Structure Based Bipartite Graph Analytics System', in International Conference on Information and Knowledge Management, Proceedings, pp. 4799 - 4803, http://dx.doi.org/10.1145/3459637.3481963

Conference Papers | 2021

Wang K; Zhang W; Lin X; Zhang Y; Qin L; Zhang Y, 2021, 'Efficient and effective community search on large-scale bipartite graphs', in Proceedings - International Conference on Data Engineering, IEEE, pp. 85 - 96, presented at 2021 IEEE 37th International Conference on Data Engineering (ICDE), 19 April 2021 - 22 April 2021, http://dx.doi.org/10.1109/ICDE51399.2021.00015

Conference Papers | 2021

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

Conference Papers | 2021

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, IEEE, pp. 2183 - 2188, presented at 2021 IEEE 37th International Conference on Data Engineering (ICDE), 19 April 2021 - 22 April 2021, http://dx.doi.org/10.1109/ICDE51399.2021.00221

Conference Papers | 2021

Yang Z; Lai L; Lin X; Hao K; Zhang W, 2021, 'HUGE: An Efficient and Scalable Subgraph Enumeration System', in Proceedings of the ACM SIGMOD International Conference on Management of Data, ACM, Virtual Event China, pp. 2049 - 2062, presented at SIGMOD/PODS '21: International Conference on Management of Data, Virtual Event China, 20 June 2021, http://dx.doi.org/10.1145/3448016.3457237

Conference Papers | 2021

Yu M; Qin L; Zhang Y; Zhang W; Lin X, 2021, 'DPTL+: Efficient parallel triangle listing on batch-dynamic graphs', in Proceedings - International Conference on Data Engineering, IEEE, pp. 1332 - 1343, presented at 2021 IEEE 37th International Conference on Data Engineering (ICDE), 19 April 2021 - 22 April 2021, http://dx.doi.org/10.1109/ICDE51399.2021.00119

Conference Papers | 2021

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

Conference Papers | 2021

Yu Y; Wen D; Zhang Y; Wang X; Zhang W; Lin X, 2021, 'Efficient matrix factorization on heterogeneous CPU-GPU Systems', in Proceedings - International Conference on Data Engineering, IEEE, pp. 1871 - 1876, presented at 2021 IEEE 37th International Conference on Data Engineering (ICDE), 19 April 2021 - 22 April 2021, http://dx.doi.org/10.1109/ICDE51399.2021.00169

Conference Papers | 2021

Zhang Y; Wang K; Zhang W; Lin X; Zhang Y, 2021, 'Pareto-optimal Community Search on Large Bipartite Graphs', in International Conference on Information and Knowledge Management, Proceedings, pp. 2647 - 2656, http://dx.doi.org/10.1145/3459637.3482282

Conference Papers | 2020

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

Conference Papers | 2020

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

Conference Papers | 2020

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

Conference Papers | 2020

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

Conference Papers | 2020

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

Conference Papers | 2020

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

Conference Papers | 2020

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

Conference Papers | 2020

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

Conference Papers | 2020

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

Conference Papers | 2020

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

Conference Papers | 2020

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

Conference Papers | 2020

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

Conference Papers | 2020

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

Conference Papers | 2020

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

Conference Papers | 2020

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

Conference Papers | 2020

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

Conference Papers | 2020

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

Conference Papers | 2020

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

Conference Papers | 2020

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

Conference Papers | 2019

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

Conference Papers | 2019

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

Conference Papers | 2019

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

Conference Papers | 2019

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

Conference Papers | 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

Conference Papers | 2019

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

Conference Papers | 2019

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

Conference Papers | 2019

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

Conference Papers | 2019

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

Conference Papers | 2019

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

Conference Papers | 2019

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

Conference Papers | 2019

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, http://dx.doi.org/10.1007/978-3-030-18590-9

Conference Papers | 2019

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

Conference Papers | 2019

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

Conference Papers | 2019

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

Conference Papers | 2018

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

Conference Papers | 2018

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

Conference Papers | 2018

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

Conference Papers | 2018

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

Conference Papers | 2018

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

Conference Papers | 2018

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

Conference Papers | 2018

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

Conference Papers | 2018

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

Conference Papers | 2017

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

Conference Papers | 2017

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

Conference Papers | 2017

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

Conference Papers | 2017

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

Conference Papers | 2017

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

Conference Papers | 2017

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

Conference Papers | 2017

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

Conference Papers | 2017

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

Conference Papers | 2017

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

Conference Papers | 2017

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

Conference Papers | 2017

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

Conference Papers | 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

Conference Papers | 2016

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

Conference Papers | 2016

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

Conference Papers | 2016

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

Conference Papers | 2016

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

Conference Papers | 2016

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

Conference Papers | 2016

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

Conference Papers | 2016

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

Conference Papers | 2016

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

Conference Papers | 2016

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

Conference Papers | 2016

Zhang R; Zhang W, 2016, 'Message from the AP web 2016 workshop chairs', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. V, http://dx.doi.org/10.1007/978-3-319-45835-9

Conference Papers | 2016

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

Conference Papers | 2015

Bi F; Chang L; Zhang W; Lin X, 2015, 'Efficient string similarity search: A cross pivotal based approach', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 545 - 564, http://dx.doi.org/10.1007/978-3-319-18120-2_32

Conference Papers | 2015

Chang L; Lin X; Qin L; Yu JX; Zhang W, 2015, 'Index-based optimal algorithms for computing steiner components with maximum connectivity', in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 459 - 474, http://dx.doi.org/10.1145/2723372.2746486

Conference Papers | 2015

Han Y; Wang L; Zhang Y; Zhang W; Lin X, 2015, 'Spatial keyword range search on trajectories', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 223 - 240, http://dx.doi.org/10.1007/978-3-319-18123-3_14

Conference Papers | 2015

Wang X; Zhang Y; Zhang W; Lin X; Cheema MA, 2015, 'Optimal spatial dominance: An effective search of nearest neighbor candidates', in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 923 - 938, http://dx.doi.org/10.1145/2723372.2749442

Conference Papers | 2015

Wang X; Zhang Y; Zhang W; Lin X; Wang W, 2015, 'AP-Tree: Efficiently support continuous spatial-keyword queries over stream', in Proceedings - International Conference on Data Engineering, pp. 1107 - 1118, http://dx.doi.org/10.1109/ICDE.2015.7113360

Conference Papers | 2015

Wang Y; Lin X; Wu L; Zhang W, 2015, 'Effective Multi-Query Expansions: Robust Landmark Retrieval', in ACM Multimedia 2015, ACM, Brisbane, Australia, pp. 79 - 88, presented at ACM Multimedia, Brisbane, Australia, 26 October 2015 - 30 October 2015, http://dx.doi.org/10.1145/2733373.2806233

Conference Papers | 2015

Wang Y; Lin X; Wu L; Zhang W; Zhang Q, 2015, 'LBMCH: Learning bridging mapping for cross-modal hashing', in SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 999 - 1002, http://dx.doi.org/10.1145/2766462.2767825

Conference Papers | 2015

Yuan L; Qin L; Lin X; Chang L; Zhang W, 2015, 'Diversified top-k clique search', in Proceedings - International Conference on Data Engineering, pp. 387 - 398, http://dx.doi.org/10.1109/ICDE.2015.7113300

Conference Papers | 2015

Zhan L; Zhang Y; Zhang W; Wang X; Lin X, 2015, 'Range search on uncertain trajectories', in International Conference on Information and Knowledge Management, Proceedings, pp. 921 - 930, http://dx.doi.org/10.1145/2806416.2806430

Conference Papers | 2014

Cheema MA; Shen Z; Lin X; Zhang W, 2014, 'A unified framework for efficiently processing ranking related queries', in Advances in Database Technology - EDBT 2014: 17th International Conference on Extending Database Technology, Proceedings, pp. 427 - 438, http://dx.doi.org/10.5441/002/edbt.2014.39

Conference Papers | 2014

Han Y; Chang L; Zhang W; Lin X; Wang L, 2014, 'Efficiently retrieving top-k trajectories by locations via traveling time', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 122 - 134, http://dx.doi.org/10.1007/978-3-319-08608-8_11

Conference Papers | 2014

Wang X; Zhang Y; Zhang W; Lin X, 2014, 'Efficiently identify local frequent keyword co-occurrence patterns in geo-tagged Twitter stream', in SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1215 - 1218, http://dx.doi.org/10.1145/2600428.2609548

Conference Papers | 2014

Wang X; Zhang Y; Zhang W; Lin X; Wang W, 2014, 'Selectivity estimation on streaming spatio-textual data using local correlations', in Proceedings of the VLDB Endowment, pp. 101 - 112, http://dx.doi.org/10.14778/2735471.2735472

Conference Papers | 2014

Wang Y; Lin X; Wu L; Zhang W; Zhang Q, 2014, 'Exploiting correlation consensus: Towards subspace clustering for multi-modal data', in MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia, pp. 981 - 984, http://dx.doi.org/10.1145/2647868.2654999

Conference Papers | 2014

Wang Y; Pei J; Lin X; Zhang Q; Zhang W, 2014, 'An iterative fusion approach to graph-based semi-supervised learning from multiple views', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 162 - 173, http://dx.doi.org/10.1007/978-3-319-06605-9_14

Conference Papers | 2014

Yu W; Lin X; Zhang W, 2014, 'Fast incremental SimRank on link-evolving graphs', in Proceedings - International Conference on Data Engineering, pp. 304 - 315, http://dx.doi.org/10.1109/ICDE.2014.6816660

Conference Papers | 2014

Zhan L; Zhang Y; Zhang W; Lin X, 2014, 'Identifying top k dominating objects over uncertain data', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 388 - 405, http://dx.doi.org/10.1007/978-3-319-05810-8_26

Conference Papers | 2014

Zhang C; Zhang Y; Zhang W; Lin X; Cheema MA; Wang X, 2014, 'Diversified spatial keyword search on road networks', in Advances in Database Technology - EDBT 2014: 17th International Conference on Extending Database Technology, Proceedings, pp. 367 - 378, http://dx.doi.org/10.5441/002/edbt.2014.34

Conference Papers | 2014

Zhang Y; Zhang W; Lin X; Cheema MA; Zhang C, 2014, 'Matching dominance: Capture the semantics of dominance for multi-dimensional uncertain objects', in ACM International Conference Proceeding Series, http://dx.doi.org/10.1145/2618243.2618246

Conference Papers | 2014

Zhao X; Xiao C; Zhang W; Lin X; Tang J, 2014, 'Improving performance of graph similarity joins using selected substructures', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 156 - 172, http://dx.doi.org/10.1007/978-3-319-05810-8_11

Conference Papers | 2013

Zhang W; Li A; Cheema MA; Zhang Y; Chang L, 2013, 'Probabilistic n-of-N skyline computation over uncertain data streams', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 439 - 457, http://dx.doi.org/10.1007/978-3-642-41154-0_33

Conference Papers | 2012

Lin QL; Zhang Y; Zhang W; Li A, 2012, 'General Spatial Skyline Operator', in Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, Proceedings, Springer Verlag, Heidelberg, Germany, pp. 494 - 508, presented at 17th International Conference on Database Systems for Advanced Applications, DASFAA 2012, Busan , South Korea, 15 April 2012 - 18 April 2012, http://dx.doi.org/10.1007/978-3-642-29038-1_36

Conference Papers | 2012

Zhan L; Zhang Y; Zhang W; Lin X, 2012, 'Finding Top k Most Influential Spatial Facilities over Uncertain Objects', in CIKM '12 Proceedings of the 21th ACM international conference on Information and knowledge management, ACM, USA, pp. 922 - 931, presented at The 21st ACM International Conference on Information and Knowledge Management, Maui, HI, USA, 29 October 2012 - 02 November 2012, http://dx.doi.org/10.1145/2396761.2396878

Conference Papers | 2012

Zhang W; Xu J; Xu J; Zhang Y; Lin X, 2012, 'Top-k Similarity Join over Multi-valued Objects', in Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, Proceedings, Springer Verlag, Heidelberg, Germany, pp. 509 - 525, presented at 17th International Conference on Database Systems for Advanced Applications, DASFAA 2012, Busan , South Korea, 15 April 2012 - 18 April 2012, http://dx.doi.org/10.1007/978-3-642-29038-1_37

Conference Papers | 2012

Zhang Y; Zhang W; Lin QL; Lin X, 2012, 'Effectively Indexing the Multi-Dimensional Uncertain Objects for Range Searching', in ACM International Conference Proceeding Series, ACM, Berlin, Germany, pp. 504 - 515, presented at 15th International Conference on Extending Database Technology, Berlin, Germany, 27 March 2012 - 30 March 2012, http://dx.doi.org/10.1145/2247596.2247655

Conference Papers | 2010

Zhang W; Lin X; Cheema MA; Zhang Y; Wang W, 2010, 'Quantile-Based KNN Over Multi-Valued Objects', in 26th IEEE International Conference on Data Engineering, ICDE 2010 - Conference Proceedings, IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States, New Jersey, USA, pp. 16 - 27, presented at 26th IEEE International Conference on Data Engineering, USA, 01 March 2010 - 06 March 2010, http://dx.doi.org/10.1109/ICDE.2010.5447877

Conference Papers | 2009

Zhang W; Lin X; Zhang Y; Wang W; Yu JX, 2009, 'Probabilistic Skyline Operator over Sliding Windows', in Proceedings of the 25th International Conference on Data Engineering, IEEE Computer Society, USA, pp. 1060 - 1071, presented at International Conference on Data Engineering, Shanghai China, 29 March 2009 - 02 April 2009, http://dx.doi.org/10.1109/ICDE.2009.83

Conference Papers | 2009

Zhang Y; Lin X; Tao Y; Zhang W, 2009, 'Uncertain Location Based Range Aggregates in a Multi-dimensional Space', in Proceedings of the 25th International Conference on Data Engineering, IEEE Computer Society, USA, pp. 1247 - 1250, presented at 25th IEEE International Conference on Data Engineering ICDE 2009, Shanghai, China, 01 April 2009, http://dx.doi.org/10.1109/ICDE.2009.212

Conference Papers | 2008

Hua M; Pei J; Zhang W; Lin X, 2008, 'Efficiently answering probabilistic threshold top-k queries on uncertain data', in 24th international conference on data engineering, Mexico, pp. 1403 - 1405, presented at IEEE 24th International Conference on Data Engineering, ICDE`08 2008, Mexico, 07 April 2008 - 12 April 2008, http://dx.doi.org/10.1109/ICDE.2008.4497570

Conference Papers | 2008

Hua M; Pei J; Zhang W; Lin X, 2008, 'Ranking queries on uncertain data: a probabilistic threshold approach', in 2008 ACM SIGMOD international conference, Vancouver BC Canada, pp. 673 - 686, presented at ACM SIGMOD international conference on management of data, 2008, Vancouver BC Canada, 09 June 2008 - 12 June 2008, http://dx.doi.org/10.1145/1376616.1376685

Conference Papers | 2008

Zhang W; Lin X; Pei J; Zhang Y, 2008, 'Managing uncertain data: Probabilistic approaches', in 9th International Conference on Web-Age Information Management, WAIM 2008, Zhangjia jie, China, pp. 405 - 412, presented at 9th International Conference on Web-Age Information Management, WAIM 2008, Zhangjia jie, China, 20 July 2008 - 22 July 2008, http://dx.doi.org/10.1109/WAIM.2008.42

- 2023-2025 Australian Research Council Discovery Project (DP230101445): Big Temporal Graph Processing in the Cloud, $495,000. Wenjie Zhang, Ying Zhang, Dong Wen, Xiaoyang Wang

- 2023-2029 Australian Research Council Centre of Excellence for Mathematical Modelling of Cellular Systems, $35 million. Chief Investigator.

- 2023-2027 Australian Research Council Research Hub for Fire Resilience Infrastructure, Assets and Safety Advancements (FRIASA) in Urban, Resources, Energy and Renewables Sectors, $5 million. Chief Investigator.

- 2021-2025 Australian Research Council Future Fellowship (FT210100303): Efficient and Scalable Processing of Dynamic Heterogeneous Graphs, $1,085,000, Wenjie Zhang.

- 2021-2025 CRC-P, Underground mine LoRa network for monitoring/control/backup/rescue/robotics, $2m from CRC + $3m from industry. Chief Investigator.

- 2022 Google Inclusion Research Award

- 2022 Distinguished Associate Editor Award from VLDB 2022.

- 2022 Equity, Diversity and Inclusion Award, Faculty of Engineering UNSW.

- 2022 Best Student Paper Award in the 33rd Australasian Database Conference (ADC 2022).

- 2021 Australian Research Council Future Fellowship (FT3).

- 2021 Academic Excellence Award (for both Educational Excellence and Innovation and Research Excellence), Faculty of Engineering UNSW.

- 2021 Best Demonstration Award nomination in CIKM 2021.

- 2021 ACM SIGMOD Research Highlight Award: The SIGMOD Research Highlight Award showcases research projects that exemplify core database research. In particular, “the project must address an important problem, represent a definitive milestone in solving the problem, and have the potential of significant impact.”

- 2020 ACM SIGMOD One of the Best Papers: The extended version of the paper was invited to publish in the special issue of "Best of SIGMOD" in ACM Transactions on Database Systems (TODS). A concise version was invited to publish in the ACM SIGMOD Record.

- 2020 Best Paper Award in the 25th International Conference on Database Systems for Advanced Applications (DASFAA 2020).

- 2020 Best Student Paper Award in The 13th International Conference on Knowledge Science, Engineering and Management (KSEM 2020).

- 2019 CORE Chris Wallace Award for Outstanding Research Contribution in the field of Computer Science (for my research contribution in Large-scale Graph Data Processing): The annual prize is awarded to at most one academic for post-PhD research undertaken within a university or research institution in Australia or New Zealand. The research should include a notable breakthrough or a contribution of particular significance.

- 2019 One of the Best Papers in the 24th International Conference on Database Systems for Advanced Applications (DASFAA 2019).

- 2013 One of the Best Papers in the 29th IEEE International Conference on Data Engineering (ICDE 2013). The extended version of the paper was invited to publish in the speical issue of "Best of ICDE" in IEEE Transactions on Knowledge and Data Engineering.

- 2013 Best Paper Award in the 14th International Conference on Web Information Systems Engineering WISE 2013.

- 2013 CiSRA Research Publication Award, CSE UNSW.

- 2012 One of the Best Papers in the 28th IEEE International Conference on Data Engineering (ICDE 2012). The extended version of the paper was invited to publish in the speical issue of "Best of ICDE" in IEEE Transactions on Knowledge and Data Engineering.

- 2012 One of the Best Papers in the 17th International Conference on Database Systems for Advanced Applications (DASFAA 2012).

- 2012 Best Student Paper Award in the 17th International Conference on Database Systems for Advanced Applications (DASFAA 2012).

- 2012 Australian Research Council Early Career Researcher Award (DECRA).

- 2012 CiSRA Research Publication Award, CSE UNSW.

- 2010 One of the Best Papers in the 26th IEEE International Conference on Data Engineering (ICDE 2010). The extended version of the paper was invited to publish in the speical issue of "Best of ICDE" in IEEE Transactions on Knowledge and Data Engineering.

- 2010 Best Paper Award in the 21st Australasian Database Conference (ADC 2010).

- 2010 CiSRA Research Publication Award, CSE UNSW.

- 2009 Best Paper Award in the Joint International Conference APWeb/WAIM 2009.

Associate Editor for:

IEEE Transactions on Knowledge and Data Engineering (TKDE), since 2016
VLDB Journal, since 2022

Steering Committee Member for:

DASFAA, since 2017
ADC (Australasian Database Conference), since 2021

Program Committee Chair for:

The 22nd International Conference on Web Information Systems Engineerng (WISE) 2021
The 2nd International Workshop on Large Scale Graph Data Analytics, in conjunction with VLDB 2020
The 5th International Workshop on Big Data Quality Management, in conjunction with DASFAA 2020
The 1st International Workshop on Large Scale Graph Data Analysis (LSGDA) 2019, in conjunction with ICDE 2019
The 27th Australasian Database Conference (ADC) 2016
The First International Workshop on Management of Spatial Temporal Data (MSTD) 2013

Program Committee Track Chair for:

PVLDB 2023 (Associate Editor)
ICDE 2023
ICDM 2023
PVLDB 2022 (Associate Editor)
ICDE 2019

Organizing Committee for:

Demo Chair for DASFAA 2021
TKDE Poster Track Chair of ICDE 2019
Doctoral Colloquium co-chair of MDM 2018
TKDE Poster Track chair of ICDE 2017
Workshop co-Chair of APWeb 2016
Chair for Research Student Symposium of APWeb 2015
Publicity Chair of WISE 2013
Publication Chair of APWeb 2013
Publicity Chair of ICDM 2010

Program Committee for:

2023: SIGMOD 2023, VLDB 2023 (Associate Editor)
2022: SIGMOD 2022, VLDB 2022 (Associate Editor), ICDE 2022, CIKM 2022 (SPC), KDD 2022
2021: SIGMOD 2021, VLDB 2021, ICDE 2021, CIKM 2021 (senior PC), KDD 2021, SIGIR 2021, AAAI 2021, WSDM 2021, BigData 2021, DASFAA (senior TPC) 2021
2020: VLDB 2020, KDD 2020, SIGIR 2020, CIKM 2020, SIGSPATIAL 2020, PAKDD 2020
2019: VLDB 2019, KDD 2019, CIKM 2019 (senior PC), SIGSPATIAL 2019, PAKDD 2019, ICDSC 2019, DASFAA 2019, ER 2019
2018: VLDB 2018, EDBT 2018, CIKM 2018, SIGSPATIAL 2018, DASFAA 2018, PAKDD 2018
2017: CIKM 2017, PAKDD 2017, DASFAA 2017
2016: EDBT 2016, PAKDD 2016, WAIM 2016, SIGSPPATIAL 2016
2015: EDBT 2015, CIKM 2015 (senior PC), SSTD 2015, SIGSPATIAL 2015, PAKDD 2015, WISE 2015
2014: VLDB 2014, SIGSPATIAL 2014, VLDB PhD Workshop 2014, CIKM 2014, PAKDD 2014, WISE 2014, WebDB 2014
2013: ICDE 2013, VLDB 2013 , SDM 2013, PAKDD 2013, DASFAA 2013
2012: VLDB 2012 (PhD Track), APWeb 2012, DASFAA 2012 , DBKDA 2012, FCST 2012
2011: FCST 2011 , APWeb 2011, DBKDA 2011
2010: CIKM 2010, FCST 2010
2009: MOUND 2009 (workshop associated with ICDE 2009).

My Research Supervision

Multiple PhD positions available with full support of tuition fee and living stipend. Please send me a copy of your CV if you are interested in doing PhD with me. Currently undergraduate and master by course students of UNSW are welcome to discuss with me if you are interested in research degrees of either PhD or Master by Research / Master of Philosophy.

Some topics include:

Graph Data Processing: graph is a powerful model to captures objects as well as the relationships / connections among them, and is a commonly used tool in many different areas including world wide web, social networks, biology networks, protein interaction networks, traffic networks, etc. My research in this area focuses on supporting structure based queries over large scale graphs and cover various graph types including multi-dimensional graphs, attributed graphs, bipartite graphs, and heterogeneous information network.

Spatial Data Processing: the widely available positioning devices foster a rich amount of multi-dimensional spatial data. My research in this area focuses on spatial keyword search and spatial-social data processing.

AI / Machine Learning Techniques for Large-scale Data Analytics and Processing: to apply machine learning techniques to improve efficiency and effectiveness in managing large-scale data.

Follow

Professor Wenjie Zhang