Professor Wenjie Zhang

Professor Wenjie Zhang

Professor
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 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 encouraged 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
  • Books | 2022
    Fang Y; Wang K; Lin X; Zhang W, 2022, Cohesive Subgraph Search Over Large Heterogeneous Information Networks
    Books | 2022
    Fang Y; Wang K; Lin X; Zhang W, 2022, Preface
    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 | 2020
    2020, Software Foundations for Data Interoperability and Large Scale Graph Data Analytics, Qin L; Zhang W; Zhang Y; Peng Y; Kato H; Wang W; Xiao C, (eds.), Springer International Publishing, http://dx.doi.org/10.1007/978-3-030-61133-0
    Books | 2016
    Cheema MA; Zhang W; Chang L, 2016, Preface
    Books | 2016
    2016, Databases Theory and Applications, Cheema MA; Zhang W; Chang L, (eds.), Springer International Publishing, http://dx.doi.org/10.1007/978-3-319-46922-5
    Books | 2013
    2013, Web Technologies and Applications, Ishikawa Y; Li J; Wang W; Zhang R; Zhang W, (eds.), Springer Berlin Heidelberg, http://dx.doi.org/10.1007/978-3-642-37401-2
  • Book Chapters | 2024
    Tan X; Guo C; Wang X; Zhang W; Chen C, 2024, 'Maximum Fairness-Aware (k, r)-Core Identification in Large Graphs', in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 273 - 286, http://dx.doi.org/10.1007/978-3-031-47843-7_19
    Book Chapters | 2024
    Xu K; Fei Z; Yu J; Kong Y; Wang X; Zhang W, 2024, 'IFGNN: An Individual Fairness Awareness Model for Missing Sensitive Information Graphs', in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 287 - 300, http://dx.doi.org/10.1007/978-3-031-47843-7_20
    Book Chapters | 2024
    Yin H; Wang K; Zhang W; Wen D; Wang X; Zhang Y, 2024, 'Discovering Densest Subgraph over Heterogeneous Information Networks', in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 341 - 355, http://dx.doi.org/10.1007/978-3-031-47843-7_24
    Book Chapters | 2023
    Hao K; Yuan L; Yang Z; Zhang W; Lin X, 2023, 'Efficient and Scalable Distributed Graph Structural Clustering at Billion Scale', in , pp. 234 - 251, http://dx.doi.org/10.1007/978-3-031-30675-4_16
    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
    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, pp. 510 - 517, http://dx.doi.org/10.1007/978-3-030-91560-5_39
    Book Chapters | 2013
    Feng X; Zhang W; Zhao X; Zhang Y; Gao Y, 2013, 'Probabilistic k-Skyband Operator over Sliding Windows', in Web-Age Information Management, Springer Berlin Heidelberg, pp. 190 - 202, http://dx.doi.org/10.1007/978-3-642-38562-9_20
  • Journal articles | 2024
    Chen H; Wang H; Chen H; Zhang Y; Zhang W; Lin X, 2024, 'Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 1016 - 1029, http://dx.doi.org/10.1109/TKDE.2023.3298490
    Journal articles | 2024
    Chu D; Zhang F; Zhang W; Lin X; Zhang Y; Xia Y; Zhang C, 2024, 'Discovering and Maintaining the Best <inline-formula><tex-math notation="LaTeX">$k$</tex-math></inline-formula> in Core Decomposition', IEEE Transactions on Knowledge and Data Engineering, http://dx.doi.org/10.1109/TKDE.2024.3389989
    Journal articles | 2024
    Gong X; Wang H; Wang X; Chen C; Zhang W; Zhang Y, 2024, 'Influence maximization on hypergraphs via multi-hop influence estimation', Information Processing and Management, 61, http://dx.doi.org/10.1016/j.ipm.2024.103683
    Journal articles | 2024
    Jiang Z; Zhang Y; Xia T; Shi Y; Zhang W; Ren X; Wang M; Liang L; Li X; Zhu K, 2024, 'Influence of heating rate and storage condition on thermal desorption of deuterium in tungsten', Journal of Nuclear Materials, 597, http://dx.doi.org/10.1016/j.jnucmat.2024.155128
    Journal articles | 2024
    Luo X; Pei J; Xu C; Zhang W; Xu J, 2024, 'Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games', Proceedings of the ACM on Management of Data, 2, pp. 1 - 28, http://dx.doi.org/10.1145/3639311
    Journal articles | 2024
    Su G; Wang H; Zhang Y; Zhang W; Lin X, 2024, 'Simple and deep graph attention networks', Knowledge-Based Systems, 293, http://dx.doi.org/10.1016/j.knosys.2024.111649
    Journal articles | 2024
    Sun R; Wu Y; Wang X; Chen C; Zhang W; Lin X, 2024, 'Efficient Balanced Signed Biclique Search in Signed Bipartite Graphs', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 1069 - 1083, http://dx.doi.org/10.1109/TKDE.2023.3296721
    Journal articles | 2024
    Wang H; Yu J; Wang X; Chen C; Zhang W; Lin X, 2024, 'Neural Similarity Search on Supergraph Containment', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 281 - 295, http://dx.doi.org/10.1109/TKDE.2023.3279920
    Journal articles | 2024
    Wang K; Cai M; Chen X; Lin X; Zhang W; Qin L; Zhang Y, 2024, 'Efficient algorithms for reachability and path queries on temporal bipartite graphs', VLDB Journal, http://dx.doi.org/10.1007/s00778-024-00854-z
    Journal articles | 2024
    Xie T; Wan Y; Zhou Y; Huang W; Liu Y; Linghu Q; Wang S; Kit C; Grazian C; Zhang W; Hoex B, 2024, 'Creation of a structured solar cell material dataset and performance prediction using large language models', Patterns, 5, http://dx.doi.org/10.1016/j.patter.2024.100955
    Journal articles | 2024
    Xu Y; Zhang W; Xu X; Li B; Zhang Y, 2024, 'Scalable and Effective Temporal Graph Representation Learning With Hyperbolic Geometry', IEEE Transactions on Neural Networks and Learning Systems, http://dx.doi.org/10.1109/TNNLS.2024.3394161
    Journal articles | 2024
    Zhang J; Yuan L; Li W; Qin L; Zhang Y; Zhang W, 2024, 'Label-constrained shortest path query processing on road networks', VLDB Journal, 33, pp. 569 - 593, http://dx.doi.org/10.1007/s00778-023-00825-w
    Journal articles | 2024
    Zhu J; Zhang W; Lu L; Lu Y; Wang D, 2024, 'Hot spot mining and trend analysis of Economic Responsibility Audit based on knowledge graph', Mathematics and Computers in Simulation, 222, pp. 38 - 49, http://dx.doi.org/10.1016/j.matcom.2023.08.029
    Journal articles | 2023
    Chang L; Feng X; Yao K; Qin L; Zhang W, 2023, 'Accelerating Graph Similarity Search via Efficient GED Computation', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 4485 - 4498, http://dx.doi.org/10.1109/TKDE.2022.3153523
    Journal articles | 2023
    Chen Z; Yuan L; Lin X; Qin L; Zhang W, 2023, 'Balanced Clique Computation in Signed Networks: Concepts and Algorithms', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 11079 - 11092, http://dx.doi.org/10.1109/TKDE.2022.3225562
    Journal articles | 2023
    He Y; Wang K; Zhang W; Lin X; Zhang Y, 2023, 'Scaling Up k-Clique Densest Subgraph Detection', Proceedings of the ACM on Management of Data, 1, pp. 1 - 26, http://dx.doi.org/10.1145/3588923
    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, 529, pp. 166 - 181, http://dx.doi.org/10.1016/j.neucom.2023.01.094
    Journal articles | 2023
    Luo L; Fang Y; Lu M; Cao X; Zhang X; Zhang W, 2023, 'GSim: A Graph Neural Network Based Relevance Measure for Heterogeneous Graphs', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 12693 - 12707, http://dx.doi.org/10.1109/TKDE.2023.3271425
    Journal articles | 2023
    Sheng Y; Cao X; Fang Y; Zhao K; Qi J; Cong G; Zhang W, 2023, 'WISK: A Workload-aware Learned Index for Spatial Keyword Queries', Proceedings of the ACM on Management of Data, 1, pp. 1 - 27, http://dx.doi.org/10.1145/3589332
    Journal articles | 2023
    Sun Q; Zhang W; Lin X, 2023, 'Progressive Hard Negative Masking: From Global Uniformity to Local Tolerance', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 12932 - 12943, http://dx.doi.org/10.1109/TKDE.2023.3269795
    Journal articles | 2023
    Sun R; Wu Y; Wang X; Chen C; Zhang W; Lin X, 2023, 'Clique Identification in Signed Graphs: A Balance Theory Based Model', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 12513 - 12527, http://dx.doi.org/10.1109/TKDE.2023.3272636
    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, 23, http://dx.doi.org/10.3390/s23020629
    Journal articles | 2023
    Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, 2023, 'Efficient continuous kNN join over dynamic high-dimensional data', World Wide Web, 26, pp. 3759 - 3794, http://dx.doi.org/10.1007/s11280-023-01204-9
    Journal articles | 2023
    Wang H; Zhang W; Zou L; Maamar Z, 2023, 'Guest Editorial: WWWJ Special Issue of the 22th International Conference on Web Information Systems Engineering (WISE 2021)', World Wide Web, 26, pp. 709 - 712, http://dx.doi.org/10.1007/s11280-022-01131-1
    Journal articles | 2023
    Wang J; Wang K; Lin X; Zhang W; Zhang Y, 2023, 'Neural Attributed Community Search at Billion Scale', Proceedings of the ACM on Management of Data, 1, pp. 1 - 25, http://dx.doi.org/10.1145/3626738
    Journal articles | 2023
    Wang J; Yang J; Ma Z; Zhang C; Yang S; Zhang W, 2023, 'Efficient Maximal Biclique Enumeration on Large Uncertain Bipartite Graphs', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 12634 - 12648, http://dx.doi.org/10.1109/TKDE.2023.3272110
    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, 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, 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, 35, pp. 11165 - 11179, 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, 35, pp. 2019 - 2033, http://dx.doi.org/10.1109/TKDE.2021.3101057
    Journal articles | 2023
    Xu T; Xu Y; Yang S; Li B; Zhang W, 2023, 'Learning Accurate Label-Specific Features From Partially Multilabeled Data', IEEE Transactions on Neural Networks and Learning Systems, http://dx.doi.org/10.1109/TNNLS.2023.3241921
    Journal articles | 2023
    Yang J; Peng Y; Ouyang D; Zhang W; Lin X; Zhao X, 2023, '(p,q)-biclique counting and enumeration for large sparse bipartite graphs', VLDB Journal, 32, pp. 1137 - 1161, http://dx.doi.org/10.1007/s00778-023-00786-0
    Journal articles | 2023
    Yu J; Zhang X; Wang H; Wang X; Zhang W; Zhang Y, 2023, 'FPGN: follower prediction framework for infectious disease prevention', World Wide Web, 26, pp. 3795 - 3814, http://dx.doi.org/10.1007/s11280-023-01205-8
    Journal articles | 2023
    Zhang J; Shen Z; Yang S; Meng L; Xiao C; Jia W; Li Y; Sun Q; Zhang W; Lin X, 2023, 'High-Ratio Compression for Machine-Generated Data', Proceedings of the ACM on Management of Data, 1, pp. 1 - 27, http://dx.doi.org/10.1145/3626732
    Journal articles | 2023
    Zhang X; Wang H; Yu J; Chen C; Wang X; Zhang W, 2023, 'Bipartite graph capsule network', World Wide Web, 26, pp. 421 - 440, http://dx.doi.org/10.1007/s11280-022-01009-2
    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, 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, 16, http://dx.doi.org/10.1145/3494558
    Journal articles | 2022
    Lin X; Qin L; Zhang W; Zhang Y, 2022, 'Editor's Note', WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 25, pp. 533 - 533, http://dx.doi.org/10.1007/s11280-022-01028-z
    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, 31, pp. 101 - 127, http://dx.doi.org/10.1007/s00778-021-00695-0
    Journal articles | 2022
    Wang D; Wu J; Yang J; Jing B; Zhang W; He X; Zhang H, 2022, 'Cross-Lingual Knowledge Transferring by Structural Correspondence and Space Transfer', IEEE Transactions on Cybernetics, 52, pp. 6555 - 6566, http://dx.doi.org/10.1109/TCYB.2021.3051005
    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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 41, 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, 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, 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, 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, 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, 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, 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, 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; Chen C, 2017, 'Bring Order into the Samples: A Novel Scalable Method for Influence Maximization', IEEE Transactions on Knowledge and Data Engineering, 29, pp. 243 - 256, http://dx.doi.org/10.1109/TKDE.2016.2624734
    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, 29, pp. 599 - 612, http://dx.doi.org/10.1109/TKDE.2016.2633472
    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, 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, 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, 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, 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, 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, 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, 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, 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, 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', , 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, http://dx.doi.org/10.1007/s11280-015-0345-1
    Journal articles | 2015
    Wang W; Zhang W, 2015, 'Guest editorial: web applications and techniques', World Wide Web, 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, 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, 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, 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, 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, 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, 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, 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, 18, pp. 1331 - 1350, 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, 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, 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, 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, 16, pp. 247 - 270, http://dx.doi.org/10.1007/s11280-012-0185-1
    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, 7, pp. 13 - 24, http://dx.doi.org/10.14778/2732219.2732221
    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
    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), 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, 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), 21, pp. 69 - 95, http://dl.acm.org/citation.cfm?id=J869&picked=prox&cfid=74803515&cftoken=43639583
    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, 15, pp. 327 - 352, http://dl.acm.org/citation.cfm?id=2158804
    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, 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, 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, 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, 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), 5446, pp. 51 - 62, http://dx.doi.org/10.1007/978-3-642-00672-2_7
  • Conference Papers | 2024
    Bonifati A; Özsu MT; Tian Y; Voigt H; Yu W; Zhang W, 2024, 'The Future of Graph Analytics', in Companion of the 2024 International Conference on Management of Data, ACM, presented at SIGMOD/PODS '24: International Conference on Management of Data, http://dx.doi.org/10.1145/3626246.3658369
    Conference Papers | 2024
    Chen K; Wen D; Zhang W; Zhang Y; Wang X; Lin X, 2024, 'Querying Structural Diversity in Streaming Graphs', in Proceedings of the VLDB Endowment, pp. 1034 - 1046, http://dx.doi.org/10.14778/3641204.3641213
    Conference Papers | 2024
    Chen X; Shi J; Peng Y; Lin W; Wang S; Zhang W, 2024, 'Minimum Strongly Connected Subgraph Collection in Dynamic Graphs', in Proceedings of the VLDB Endowment, pp. 1324 - 1336, http://dx.doi.org/10.14778/3648160.3648173
    Conference Papers | 2024
    Wu Y; Xu Y; Zhang W; Xu X; Zhang Y, 2024, 'Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs', in WWW 2024 - Proceedings of the ACM Web Conference, pp. 2149 - 2158, http://dx.doi.org/10.1145/3589334.3645569
    Conference Papers | 2023
    Du L; Cheng P; Zheng L; Xi W; Lin X; Zhang W; Fang J, 2023, 'Dynamic Private Task Assignment under Differential Privacy', in Proceedings - International Conference on Data Engineering, pp. 2740 - 2752, http://dx.doi.org/10.1109/ICDE55515.2023.00210
    Conference Papers | 2023
    Feng Q; Peng Y; Zhang W; Lin X; Zhang Y, 2023, 'DSPC: Efficiently Answering Shortest Path Counting on Dynamic Graphs', in Advances in Database Technology - EDBT, pp. 116 - 128, http://dx.doi.org/10.48786/edbt.2024.11
    Conference Papers | 2023
    Jin J; Cheng P; Chen L; Lin X; Zhang W, 2023, 'Efficient Non-Learning Similar Subtrajectory Search', in Proceedings of the VLDB Endowment, pp. 3111 - 3123, http://dx.doi.org/10.14778/3611479.3611512
    Conference Papers | 2023
    Peng Y; Lin X; Yu M; Zhang W; Qin L, 2023, 'TDB: Breaking All Hop-Constrained Cycles in Billion-Scale Directed Graphs', in Proceedings - International Conference on Data Engineering, pp. 137 - 150, http://dx.doi.org/10.1109/ICDE55515.2023.00018
    Conference Papers | 2023
    Peng Y; Ma Z; Zhang W; Lin X; Zhang Y; Chen X, 2023, 'Efficiently Answering Quality Constrained Shortest Distance Queries in Large Graphs', in Proceedings - International Conference on Data Engineering, pp. 856 - 868, http://dx.doi.org/10.1109/ICDE55515.2023.00071
    Conference Papers | 2023
    Sun Q; Lin X; Zhang Y; Zhang W; Chen C, 2023, 'Towards Higher-order Topological Consistency for Unsupervised Network Alignment', in Proceedings - International Conference on Data Engineering, pp. 177 - 190, http://dx.doi.org/10.1109/ICDE55515.2023.00021
    Conference Papers | 2023
    Sun R; Chen C; Wang X; Zhang W; Zhang Y; Lin X, 2023, 'Efficient Maximum Signed Biclique Identification', in Proceedings - International Conference on Data Engineering, pp. 1313 - 1325, http://dx.doi.org/10.1109/ICDE55515.2023.00105
    Conference Papers | 2023
    Tan X; Qing S; Qian J; Wu Y; Zhang W; Chen C; Wang X, 2023, 'Higher-Order Peak Decomposition', in International Conference on Information and Knowledge Management, Proceedings, pp. 4310 - 4314, http://dx.doi.org/10.1145/3583780.3615209
    Conference Papers | 2023
    Wang X; Wen D; Zhang W; Zhang Y; Qin L, 2023, 'Distributed Near-Maximum Independent Set Maintenance over Large-scale Dynamic Graphs', in Proceedings - International Conference on Data Engineering, pp. 2538 - 2550, http://dx.doi.org/10.1109/ICDE55515.2023.00195
    Conference Papers | 2023
    Wang Y; Yuan L; Chen Z; Zhang W; Lin X; Liu Q, 2023, 'Towards Efficient Shortest Path Counting on Billion-Scale Graphs', in Proceedings - International Conference on Data Engineering, pp. 2579 - 2592, http://dx.doi.org/10.1109/ICDE55515.2023.00198
    Conference Papers | 2023
    Wu X; Xu Y; Zhang W; Zhang Y, 2023, 'Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach', in Proceedings of the VLDB Endowment, pp. 175 - 183, http://dx.doi.org/10.14778/3626292.3626300
    Conference Papers | 2023
    Wu Y; Xu Y; Lin X; Zhang W, 2023, 'A Holistic Approach for Answering Logical Queries on Knowledge Graphs', in Proceedings - International Conference on Data Engineering, pp. 2345 - 2357, http://dx.doi.org/10.1109/ICDE55515.2023.00181
    Conference Papers | 2023
    Xie J; Zhang F; Wang K; Lin X; Zhang W, 2023, 'Minimizing the Influence of Misinformation via Vertex Blocking', in Proceedings - International Conference on Data Engineering, pp. 789 - 801, http://dx.doi.org/10.1109/ICDE55515.2023.00066
    Conference Papers | 2023
    Yang Z; Zhang W; Lin X; Zhang Y; Li S, 2023, 'HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on Hypergraphs', in Proceedings - International Conference on Data Engineering, pp. 2063 - 2076, http://dx.doi.org/10.1109/ICDE55515.2023.00160
    Conference Papers | 2023
    Yu J; Wang H; Wang X; Li Z; Qin L; Zhang W; Liao J; Zhang Y, 2023, 'Group-based Fraud Detection Network on e-Commerce Platforms', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 5463 - 5475, http://dx.doi.org/10.1145/3580305.3599836
    Preprints | 2023
    Yuan L; Hao K; Lin X; Zhang W, 2023, Batch Hop-Constrained s-t Simple Path Query Processing in Large Graphs, , http://dx.doi.org/10.48550/arxiv.2312.01424
    Conference Papers | 2023
    Zhang F; Linghu Q; Xie J; Wang K; Lin X; Zhang W, 2023, 'Quantifying Node Importance over Network Structural Stability', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 3217 - 3228, http://dx.doi.org/10.1145/3580305.3599480
    Conference Papers | 2023
    Zhang Y; Wang K; Zhang W; Ni W; Lin X, 2023, 'Size-bounded Community Search over Large Bipartite Graphs', in Advances in Database Technology - EDBT, pp. 320 - 331, http://dx.doi.org/10.48786/edbt.2024.28
    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, pp. 1138 - 1151, 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, pp. 512 - 524, 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, pp. 446 - 458, 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, pp. 846 - 858, 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, pp. 1193 - 1205, http://dx.doi.org/10.1109/ICDE53745.2022.00094
    Conference Papers | 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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 49 - 64, http://dx.doi.org/10.1007/978-3-031-20891-1_5
    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), 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
    Preprints | 2022
    Sun Q; Zhang W; Lin X, 2022, Progressive Hard Negative Masking: From Global Uniformity to Local Tolerance, , http://dx.doi.org/10.36227/techrxiv.21203096
    Preprints | 2022
    Sun Q; Zhang W; Lin X, 2022, Progressive Hard Negative Masking: From Global Uniformity to Local Tolerance, , http://dx.doi.org/10.36227/techrxiv.21203096.v1
    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, pp. 1887 - 1899, 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, pp. 245 - 258, 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, pp. 498 - 511, 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, pp. 2291 - 2305, 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, Vol. 2022-May, pp. 1511 - 1512, 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, pp. 367 - 379, 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, pp. 1700 - 1713, 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, pp. 552 - 564, 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, pp. 1955 - 1968, http://dx.doi.org/10.1109/ICDE53745.2022.00192
    Conference Papers | 2022
    Zhang W; Chan GP; Chan WKV, 2022, 'An Efficient Alternative to Subgraph Isomorphism and Its Advantages', in ACM International Conference Proceeding Series, http://dx.doi.org/10.1145/3579654.3579768
    Conference Papers | 2022
    Zhang W, 2022, 'Structure-based Large-scale Dynamic Heterogeneous Graphs Processing: Applications, Challenges and Solutions', in Companion Proceedings of the Web Conference 2022, ACM, presented at WWW '22: The ACM Web Conference 2022, http://dx.doi.org/10.1145/3487553.3526094
    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, pp. 2333 - 2345, 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
    Fang Y; Wang K; Lin X; Zhang W, 2021, 'Cohesive Subgraph Search over Big Heterogeneous Information Networks: Applications, Challenges, and Solutions', in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 2829 - 2838, http://dx.doi.org/10.1145/3448016.3457538
    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, pp. 1320 - 1331, 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, pp. 97 - 108, 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
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    Yang Z; Lai L; Lin X; Hao K; Zhang W, 2021, HUGE: An Efficient and Scalable Subgraph Enumeration System, , http://dx.doi.org/10.48550/arxiv.2103.14294
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    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, pp. 1332 - 1343, http://dx.doi.org/10.1109/ICDE51399.2021.00119
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    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, pp. 1871 - 1876, http://dx.doi.org/10.1109/ICDE51399.2021.00169
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    Zhang W; Chan WK, 2021, 'Subgraph Isomorphism Building on A Hierarchical Query Graph', in ACM International Conference Proceeding Series, pp. 107 - 111, http://dx.doi.org/10.1145/3456529.3456548
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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, A Survey and Experimental Analysis of Distributed Subgraph Matching, , http://dx.doi.org/10.48550/arxiv.1906.11518
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    Wang X; Zhang Y; Zhang W; Lin X; Huang Z, 2016, 'SKYPE: Top-k spatial-keyword publish/subscribe over sliding window', in Proceedings of the VLDB Endowment, pp. 588 - 599, http://dx.doi.org/10.14778/2904483.2904490
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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; 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 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 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
    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
    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
    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, presented at 26th IEEE International Conference on Data Engineering, USA, 01 March 2010 - 06 March 2010, http://www.informatik.uni-trier.de/~ley/db/conf/icde/
    Conference Papers | 2010
    Zhang W; Zhang Y; Lin X; Cheema MA, 2010, 'Best Paper Award --- Counting Distinct Objects over Sliding Windows', in (Best Paper Award) Counting Distinct Objects over Sliding Windows, Brisbane, Australia, presented at ADC 2010, Brisbane, Australia, 18 January 2010 - 22 January 2010, http://www.itee.uq.edu.au/~adc2010
    Conference Papers | 2009
    Yang S; Zhang W; Zhang Y; Lin X, 2009, 'Probabilistic Threshold Range Aggregate Query Processing over Uncertain Data (the Best Paper of the Conference)', in Proceedings of APWeb/WAIM 2009, LNCS, Springer-Verlag, Berlin, presented at APWEB / WAIM 2009, Suzhou China, 01 April 2009 - 04 April 2009
    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, 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, presented at 25th IEEE International Conference on Data Engineering ICDE 2009, Shanghai, China, 01 April 2009
    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, presented at IEEE 24th International Conference on Data Engineering, ICDE`08 2008, Mexico, 07 April 2008 - 12 April 2008
    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, presented at ACM SIGMOD international conference on management of data, 2008, Vancouver BC Canada, 09 June 2008 - 12 June 2008
    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, presented at 9th International Conference on Web-Age Information Management, WAIM 2008, Zhangjia jie, China, 20 July 2008 - 22 July 2008
    Preprints |
    Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v1], , http://dx.doi.org/10.21203/rs.3.rs-2572561/v1
    Preprints |
    Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v2], , http://dx.doi.org/10.21203/rs.3.rs-2572561/v2
    Preprints |
    Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v3], , http://dx.doi.org/10.21203/rs.3.rs-2572561/v3
    Preprints |
    Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v4], , http://dx.doi.org/10.21203/rs.3.rs-2572561/v4

 

 National Competitive Grants: 

  • 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. https://macsys.org/  

     

  • 2022 - 2026 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.  https://friasa.org.au/

     

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

     

  • 2021 - 2023 Australian Research Council Discovery Project (DP210101393): Efficient and scalable similarity query processing on big streaming graphs, $510,000, Ying Zhang and Wenjie Zhang.

     

  • 2021 - 2025 ARC Industry Transformation Research Hub for Resilient and Intelligent Infrastructure Systems (RIIS) in Urban, Resources and Energy Sectors, $5 million. Chief Investigator. https://riis.org.au/

     

  • 2020 - 2022 Australian Research Council Discovery Project (DP200101116): Cohesive Subgraph Discovery on Big Bipartite Graphs, $430,000, Wenjie Zhang.

     

  • 2018 - 2020 Australian Research Council Discovery Project (DP180103096): Efficient Processing of Large Scale Multi-dimensional Graphs, $407,974, Xuemin Lin, Wenjie Zhang and Ying Zhang.

     

  • 2015 - 2017 Australian Research Council Discovery Project (DP150103071): Continuous Loyalty-based Similarity Queries over Moving Objects, $266, 300, Wenjie Zhang and Lei Chen.

     

  • 2015 - 2017 Australian Research Council Discovery Project (DP150102728): Efficiently Processing Pattern-based Structure Queries over Large Graphs, $397, 500, Xuemin Lin and Wenjie Zhang.

     

  • 2012 - 2014 Australian Research Council Discovery Early Career Researcher Award (DE120102144): Continuously Monitoring Uncertain Objects in a Multi-dimensional Space, $375, 000, Wenjie Zhang.

     

  • 2012 - 2014 Australian Research Council Discovery Project (DP120104168): Ranking Complex Objects in a Multi-dimensional Space, $350, 000, Xuemin Lin and Wenjie Zhang

 

Other Industry and Government funded research projects:

  • The Unification of Structured Multi-Modal Knowledge Base and Multi-Modal Foundation Models, $300, 000. (lead CI) 

 

  • Advanced Learning Analytics for Students with Cognitive Deficits (Google),  $96,000.  (lead CI)

 

  • Data-driven AI in Business Analytics, $75, 000. (lead CI)

 

  • Fraud Detection and Risk Mitigation in Financial Systems, $150,000. (lead CI)

 

  • Efficient Relational DBMS Development, $560,000. (lead CI)

 

  • Underground mine LoRa network for monitoring/control/backup/rescue/robotics, CRC-Project, $2 million. 

 

  • BHP Tailings Challenge Proof of Concept Stage, $64,000. 

 

  • Rock Bolt Detection Based on LiDAR Point Cloud, $84, 000. 

 

  • Towards Enabling Real-time and Secure Geospatial Data Analytics, $145, 000. (lead CI)

 

  • Enabling AI-based Intelligence via Privacy Preserving Graph Technology, $145, 000. (lead CI)

 

  • Anomaly detection from large-scale dynamic networks, $360,000. 

 

  • Automatic and Integrative Business Solution for Valuation Data Warehousing, $30, 000. (lead CI)

 

 

 

- 2023 Best Paper Award in the 34th Australasian Database Conference (ADC 2023). 

- 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 41st International Conference on Data Enigneering (ICDE) 2025. 
  • The 8th International Conference on Web Technologies and Big Data (APWeb-WAIM) 2024. 
  • 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:

  • Tutorial Chair for TheWebConf 2025
  • Anniversary Chair for ADMA 2024
  • Tutorial Chair for DASFAA 2024
  • 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), ICDE 2023 (Track chair), ICDM 2023 (Track Chair)
  • 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, ICDE 2019 (Track Chair), 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 2013VLDB 2013 SDM 2013PAKDD 2013DASFAA 2013
  • 2012: VLDB 2012 (PhD Track)APWeb 2012DASFAA 2012 DBKDA 2012FCST 2012
  • 2011: FCST 2011 APWeb 2011DBKDA 2011
  • 2010: CIKM 2010FCST 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. 

Large language models: harness the power of large language models for AI and data science tasks.