Professor Wenjie Zhang
Professor

Professor Wenjie Zhang

Engineering
Computer Science and Engineering

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 100 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 my publications (and presentation slides) in her homepage: http://www.cse.unsw.edu.au/~zhangw/

Mutiple PhD scholarships (living allowance around $30k/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
  • 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
    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 | 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
    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
    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 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 | 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 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 | 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 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
    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; 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 | 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
  • 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 | 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 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
    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
    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
    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
    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 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
    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
    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
    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 | 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
    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, '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 | 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 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 | 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; 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 | 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
    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 | 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 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 | 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 | 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 and Research Theme Leader. 

- 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. 

 

- 2022 Google Inclusion Research Award 

- 2022 Distinguished Associate Editor Award from VLDB 2022. 

- 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. 

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.