Wenjie Zhang


Professor, ARC Future Fellow
  
Head of Data and Knowledge Research Group
 
Deputy Head of School (Research)
  
K17, 502
School of Computer Science and Engineering
The University of New South Wales
Sydney NSW 2052
AUSTRALIA

Email: wenjie.zhang at unsw.edu.au

Short Bio

  I am a Professor in the Data and Knowledge Rearch Group, School of Computer Science and Engineering, UNSW.
 
  PhD scholarships avaialble with living allowance plus tuition fee waiver. Applicants supported by the China Scholarship Council will receive further top-up on living allowance. Please send me an email with your CV if you are interested in doing PhD with me. Current UNSW Master by Course and undergraduate students are welcome to apply for Master by Research or PhD degree. Feel free to send me an email or drop by my office to discuss. Some topics include:
  • Graph Data Processing: cohesive subgraph computation, social network analysis, attributed graph, spatial-social network, bipartite graphs, heterogeneous information network
  • Spatial Data Processing: spatial keyword search, spatial-social data processing
     
Research Interest

  Data management and analytics for large data, especially for graph/network, spatial-temporal and image data.
 
Selected Publications
  • Journal Papers
    1. Lingkai Meng, Yu Shao, Long Yuan, Longbin Lai, Peng Cheng, Xue Li, Wenyuan Yu, Wenjie Zhang, Xuemin Lin, Jingren Zhou, A Survey of Distributed Graph Algorithms on Massive Graph, [PDF] (A comprehensive survey on distributed graph algorithms)
    2. Hongmei Chen, Hanchen Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions, TKDE 2023.
    3. Xiaoyang Wang, Renjie Sun, Yanping Wu, Chen Chen, Wenjie Zhang, Xuemin Lin, Efficient Balanced Signed Biclique Search in Signed Bipartite Graphs, TKDE 2023.
    4. Chen Chen, Hanchen Wang, Jianke Yang, Xiaoyang Wang, Wenjie Zhang, Xuemin Lin, Neural Similarity Search on Supergraph Containment, TKDE 2023.
    5. Chen Chen, Renjie Sun, Yanping Wu, Xiaoyang Wang, Wenjie Zhang, Xuemin Lin, Clique Identification in Signed Graphs: A Balance Theory based Model, TKDE 2023.
    6. Tiantian Xu, Yuanyuan Xu, Shiyu Yang, Binghao Li, Wenjie Zhang, Learning Accurate Label-Specific Features from Partially Multi-labeled Data, TNNLS 2023.
    7. Jialin Li, Sarp Saydam, Yuanyuan Xu, Boge Liu, Binghao Li, Xuemin Lin, Wenjie Zhang, Class-aware Tiny Object Recognition over Large-scale 3D Point Clouds, Neurocomputing 2023.
    8. Linhao Luo, Yixiang Fang, Xiaofeng Zhang, Xin Cao, Wenjie Zhang, GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs, TKDE 2023.
    9. Qingqiang Sun, Wenjie Zhang, Xuemin Lin, Progressive Hard Negative Masking: From Global Uniformity to Local Tolerance, TKDE 2023.
    10. Yishi Liu, Jianye Yang, Ziyi Ma, Chengyuan Zhang, Shiyu Yang, Wenjie Zhang, Efficient Maximal Biclique Enumeration on Large Uncertain Bipartite Graphs, TKDE 2023.
    11. Xubo Wang, Dong Wen, Lu Qin, Lijun Chang, Ying Zhang, Wenjie Zhang, ScaleG: A Distributed Disk-based System for Vertex-Centric Graph Processing, TKDE 2023.
    12. Kai Wang, Gengda Zhao, Wenjie Zhang, Xuemin Lin, Ying Zhang, Yizhang He, Cohesive Subgraph Discovery over Uncertain Bipartite Graphs, TKDE 2023.
    13. Jianye Yang, Yun Peng, Dian Ouyang, Wenjie Zhang, Xuemin lin, Xiang Zhao, (p,q)-biclique Counting and Enumeration for Large Sparse Bipartite Graphs, The VLDB Journal 2023.
    14. Kai Wang, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang, Accelerated Butterfly Counting with Vertex Priority on Bipartite Graphs, The VLDB Journal 2023.
    15. You Peng, Xuemin Lin, Ying Zhang, Wenjie Zhang, Lu Qin, Answering Reachability and k-Reach Queries on Large Graphs with Label Constraints, The VLDB Journal 2022.
    16. Kai Wang, Xuemin Lin, Lu Qin , Wenjie Zhang, Ying Zhang, Towards Efficient Solutions of Bitruss Decomposition for Large-scale Bipartite Graphs, The VLDB Journal 2022.
    17. Qingyuan Linghu,Fan Zhang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Anchored Coreness: Efficient Reinforcement of Social Networks, The VLDB Journal 2022.
    18. Arif Hidayat, Muhammad Aamir Cheema, Xuemin Lin, Wenjie Zhang Ying Zhang, Continuous Monitoring of Moving Skyline and Top-k Queries, The VLDB Journal 2022.
    19. Dong Wen, Bohua Yang, Ying Zhang, Lu Qin, Dawei Cheng, Wenjie Zhang, Span-reachability Querying in Large Temporal Graphs, The VLDB Journal 2022.
    20. Lijun Chang, Xing Feng, Kai Yao, Lu Qin, Wenjie Zhang, Accelerating Graph Similarity Search via Efficient GED Computation, TKDE 2022.
    21. Zi Chen, Long Yuan, Xuemin Lin, Lu Qin, Wenjie Zhang, Balanced Clique Computation in Signed Networks:Concepts and Algorithms, TKDE 2022.
    22. Yiwei Zhao, Zi Chen, Chen Chen, Xiaoyang Wang, Xuemin Lin, Wenjie Zhang, Finding the Maximum k-Balanced Biclique on Weighted Bipartite Graphs, TKDE 2022.
    23. Chenji Huang, Yixiang Fang, Xuemin Lin, Xin Cao, Wenjie Zhang, ABLE: Meta-Path Prediction in Heterogeneous Information Networks, TKDD 2022.
    24. Xianhang Zhang,Hanchen Wang,Jianke Yu, Chen Chen, Xiaoyang Wang, Wenjie Zhang, Polarity-based Graph Neural Network for Sign Prediction in Signed Bipartite Graphs, World Wide Web 2022.
    25. Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Kakshmanan, Wenjie Zhang, Xuemin Lin, On Directed Densest Subgraph Discovery, ACM TODS 2021.
    26. Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Kakshmanan, Wenjie Zhang, Xuemin Lin, Efficient Directed Densest Subgraph Discovery, SIGMOD Record 2021.
    27. Conggai Li, Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, Discovering fortress-like cohesive subgraphs, Knowledge and Information System 2021.
    28. Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Exploring cohesive subgraphs with vertex engagement and tie strength in bipartite graphs, Information Sciences 2021.
    29. Zengfeng Huang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA, JMLR 2021.
    30. Zengfeng Huang, Haida Zhang, Xuemin Lin, Zhe Lin, Wenjie Zhang, Ying Zhang, Efficient and High-Quality Seeded Graph Matching: Employing Higher-order Structural Information, TKDD 2021.
    31. You Peng, Xuemin Lin, Ying Zhang, Wenjie Zhang, Lu Qin, Jingren Zhou, Efficient Hop-constraint s-t Simple Path Enumeration, VLDBJ 2021.
    32. Kai Wang, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang, Towards Efficient Solutions of Bitruss Decomposition for Large-scale Bipartite Graphs, VLDBJ 2021.
    33. Muhammad Aamir Cheema, Xuemin Lin, Wenjie Zhang, Ying Zhang, Continuous Monitoring of Moving Skyline and Top-k Queries, VLDBJ 2021.
    34. Boge Liu, Long Yuan, Xuemin Lin, Lu Qin, Wenjie Zhang, Jingren Zhou, Efficient (\alpha,\beta)-core Computation in Bipartite Graphs, VLDBJ 2020.
    35. Hongmei Chen, Yixiang Fang, Ying Zhang, Wenjie Zhang, Liping Wang, ESPM: Efficient Spatial Pattern Matching, TKDE 2019.
    36. Yixiang Fang, Xin Huang, Lu Qin, Ying Zhang, Wenjie Zhang, Reynold Cheng, Xuemin Lin, A Survey of Community Search over Big Graphs, VLDB Journal 2019. [PDF] (A comprehensive survey on community search)
    37. Yun Li, Yixiang Fang, Reynold Cheng, Wenjie Zhang, Spatial pattern matching: a new direction for finding spatial objects, SIGSPATIAL Special 11(1), 3-12, 2019.
    38. Weiren Yu, Xuemin Lin, Wenjie Zhang, Jian Pei, JA McCann, SimRank*: Effective and Scalable Pairwise Similarity Search based on Graph Topology, VLDB Journal 2019.
    39. Fan Zhang, Congai Li, Ying Zhang, Lu Qin, Wenjie Zhang, Finding Critical Users in Social Communities: the Collapsed Core and Truss Problems, TKDE 2019.
    40. Wen Li, Ying Zhang, Yifang Sun, Wei Wang, Mingjie Li, Wenjie Zhang, and Xuemin Lin, Approximate Nearest Neighbor Search on High Dimensional Data: Experiments, Analyses, and Improvement, TKDE 2019.
    41. Weiwei Liu, Xiaobo Shen, Bo Du, Ivor W Tsang, Wenjie Zhang, Xuemin Lin, Hyperspectral Imagery Classification via Stochastic HHSVMs, IEEE Transactions on Image Processing 2018.
    42. Jianye Yang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Cost Optimization based on Influence and User Preference, KAIS 2018.
    43. Xing Feng, Lijun Chang, Xuemin Lin, Lu Qin, Wenjie Zhang, Long Yuan, Distributed Computing Connected Components with Linear Communication Cost, DAPD 2018.
    44. Weiwei Liu, Donna Xu, Ivor W. Tsang, Wenjie Zhang, Metric Learning for Multi-output Tasks, TPAMI 2018.
    45. Jianye Yang, Wenjie Zhang, Shiyu Yang, Ying Zhang, Xuemin Lin, Efficient Set Containment Join VLDBJ 2018.
    46. Long Yuan, Lu Qin, Wenjie Zhang, Lijun Chang, Jianye Yang, Index-based Densest Clique Percolation Community Search In Networks TKDE 2017.
    47. Weiren Yu, Xuemin Lin, Wenjie Zhang, J. McCann, Dynamical SimRank Assessment on Time-Varying Networks, VLDB Journal 2018.
    48. Xiang Zhao, Chuan Xiao, Xuemin Lin, Wenjie Zhang, Yan Wang, Efficient Structure Similarity Searches: A Partition-Based Approach, VLDB Journal 2018.
    49. Xiang Wang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Zengfeng Huang, Top-k spatial-keyword publish/subscribe over sliding window, VLDB Journal 2017.
    50. Long Yuan, Lu Qin, Xuemin Lin, Lijun Chang, Wenjie Zhang, I/O Efficient ECC Graph Decomposition via Graph Reduction, VLDB Journal 2017.
    51. Xiaoyang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Efficient Distance-Aware Influence Maximization in Geo-Social Networks, IEEE Transactions on Knowledge and Data Engineering 2017.
    52. Xiaoyang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Chen Chen, Bring Order into the Samples: A Novel Scalable Method for Influence Maximization, IEEE Transactions on Knowledge and Data Engineering 2017.
    53. Xiaoyang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Efficient Identification of Local Keyword Patterns in Microblogging Platforms, IEEE Transactions on Knowledge and Data Engineering 2016.
    54. Lijun Chang, Wei Li, Xuemin Lin, Lu Qin, Wenjie Zhang, pScan: Fast and Exact Structural Graph Clustering, TKDE .
    55. Shiyu Yang, Muhammad Aamir Cheema, Xuemin Lin, Ying Zhang, Wenjie Zhang, Reverse K Nearest Neighbor Queries and Spatial Reverse Top-k Queries, VLDBJ 2017.
    56. Jianye Yang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Categorical Top-k Spatial Influence Query, WWWJ 2017.
    57. Chengyuan Zhang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Inverted Linear Quadtree: Efficient Top K Spatial Keyword Search, TKDE 28(7): 1706-1721.
    58. Wenjie Zhang, Xuemin Lin, Ying Zhang, Ke Zhu, Gaoping Zhu, Efficient Probabilistic Supergraph Search, IEEE Transactions on Knowledge and Data Engineering 28(4): 965-978, 2016.
    59. Yang Wang, Wenjie Zhang, Lin Wu, Xuemin Lin, Xiang Zhao, Unsupervised Metric Fusion over Multi-view Data by Graph Random Walk base Cross-view Diffusion, to appear in IEEE Transactions on Neural Networks and Learning Systems, .
    60. Long Yuan, Lu Qin, Xuemin Lin, Lijun Chang, Wenjie Zhang, Diversified Top-k Clique Search, VLDB Journal 25(2): 171-196, 2016.
    61. Xiang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Wei Wang, AP-Tree: Efficiently Support Location-aware Publish/Subscribe, VLDB Journal 24(6): 823-848, 2015.
    62. Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang, Xiaodi Huang, Qing Zhang, Robust Subspace Clustering for Multi-view Data by Exploiting Correlation Consensus, IEEE Transactions on Image Processing 24(11): 3939-3949, 2015. .
    63. Liming Zhan, Ying Zhang, Wenjie Zhang, Xuemin Lin, Finding Top k Most Influential Spatial Facilities over Uncertain Objects, IEEE Transactions on Knowledge and Data Engineering 27(12): 3289-3303, 2015,
    64. Yang Wang, Xuemin Lin, Lin Wu, Qing Zhang, Wenjie Zhang, Shifting Multi-Hypergraphs via Collaborative Probabilistic Voting, Knowledge and Information Systems 46(3): 515-536, 2016.  
    65. Weiren Yu, Xuemin Lin, Wenjie Zhang, Julie A. McCann, Fast All-Pairs SimRank Assessment on Large Graphs and Bipartite Domains, IEEE Transactions on Knowledge and Data Engineering 27(7): 1810-1823, 2015.  
    66. Wenjie Zhang, Aiping Li, Muhammad Aamir Cheema, Ying Zhang, Lijun Chang, Probabilistic n-of-N Skyline Computation over Uncertain Data Streams, World Wide Web 18(5): 1331-1350, 2015
    67. Ying Zhang, Wenjie Zhang, Qianlu Lin, Xuemin Lin, Heng Tao Shen, Effectively Indexing the Multi-dimensional Uncertain Objects, IEEE Transactions on Knowledge and Data Engineering 26(3): 608-622, 2014.  
    68. Wenjie Zhang, Liming Zhan, Ying Zhang, Muhammad Aamir Cheema, Xuemin Lin, Efficient Top-k Similarity Join Processing over Multi-valued Objects, WWW Journal 17(3): 285-309.   [PDF]
    69. Qianlu Lin, Ying Zhang, Wenjie Zhang, Xuemin Lin, Efficient General Spatial Skyline Computation, WWW Journal 16(3): 247-270, 2013.   [PDF]
    70. Ying Zhang, Wenjie Zhang, Jian Pei, Xuemin Lin, Qianlu Lin, Aiping Li, Consensus-based Ranking of Multi-valued Objects: A Generalized Borda Count Approach, IEEE Transactions on Knowledge and Data Engineering 26(1): 83-96, 2014. [PDF]
    71. Wenjie Zhang, Muhammad Aamir Cheema, Ying Zhang, Xuemin Lin, Skyline: Stacking Optimal Solutions in Exact and Uncertain Worlds, International Journal of Software and Informatics. ( invited paper) 6(4): 475-493, 2012.   [PDF]
    72. Zhitao Shen, Muhammad Aamir Cheema, Xuemin Lin, Wenjie Zhang, Haixun Wang, A Generic Framework for Top-k Pairs and Top-k Objects Queries over Sliding Windows, IEEE Transactions on Knowledge and Data Engineering 26(6): 1349-1366, 2014.  
    73. Wenjie Zhang, Xuemin Lin, Ying Zhang, Muhammad Aamir Cheema, Qing Zhang, Stochastic Skylines, ACM Transactions on Database Systems 37(2): 14, 2012.   [PDF]
    74. Wenjie Zhang, Xuemin Lin, Ying Zhang, Wei Wang, Gaoping Zhu, Jeffrey X. Yu, Probabilistic Skyline Operator over Sliding Windows, Information Systems 38(8): 1212-1233, 2013.   [PDF]
    75. Muhammad Aamir Cheema, Wenjie Zhang, Xuemin Lin, Ying Zhang, Efficiently processing snapshot and continuous reverse k nearest neighbors queries , VLDB Journal 21(5): 703-728, 2012.   [PDF]
    76. Muhammad Aamir Cheema, Wenjie Zhang, Xuemin Lin, Ying Zhang, Xuefei Li, Continuously Reverse k Nearest Neighbors Queries in Euclidean Space and in Spatial Networks, VLDB Journal 21(1): 69-95, 2012.   [PDF]
    77. Ying Zhang, Xuemin Lin, Yufei Tao, Wenjie Zhang, Haixun Wang, Efficient Computing of Range Aggregates against Uncertain Location based Queries, IEEE Transactions on Knowledge and Data Engineering, 24(7): 1244-1258, 2012.   [PDF]
    78. Weiren Yu, Wenjie Zhang, Xuemin Lin, Qing Zhang, Jianjin Le, A Space and Time Efficient Algorithm for SimRank Computation, WWW Journal 15(3): 327-353, 2012.   [PDF]
    79. Muhammad Aamir Cheema, Ljiljana Brankovic, Xuemin Lin, Wenjie Zhang, Wei Wang, Continuous Monitoring of Distance based Range Queries, IEEE Transactions on Knowledge and Data Engineering 23(8): 1182-1199, 2011.   [PDF]
    80. Ying Zhang, Wenjie Zhang, Xuemin Lin, Jian Pei, Bin Jiang, Ranking Uncertain Sky: the Probabilistic Top-k Skyline Operator, Information Systems 36(5): 898-915, 2011.   [PDF]
    81. Ying Zhang, Xuemin Lin, Wenjie Zhang, J. Wang, Q. Lin, Effectively Indexing the Uncertain Space, IEEE Transactions on Knowledge and Data Engineering 22(9): 1247-1261, 2010.  [PDF]
    82. Wenjie Zhang, Xuemin Lin, Ying Zhang, Jian Pei, Wei Wang, Threshold-based Probabilistic Top-k Dominating Queries, VLDB Journal 19(2), 283-305, 2010.   [PDF]
    83. Muhammad Aamir Cheema, Xuemin Lin, Wei Wang, Wenjie Zhang, Jian Pei, Probabilistic Reverse Nearest Neighbor Queries on Uncertain Data, IEEE Transactions on Knowledge and Data Engineering 22(4), 550-564, 2010.   [PDF]
  • Conference Papers
    1. Xuan Luo, Jian Pei, Cheng Xu, Wenjie Zhang, Jianliang Xu, Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games, SIGMOD 2024.
    2. Angela Boniafti, M. Tamer Ozsu, Yuanyuan Tian, Hannes Voigt, Wenyuan Yu, Wenjie Zhang, The Future of Graph Analytics, SIGMOD 2024.
    3. Deming Chu, Fan Zhang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Graph Summarization: Compactness Meets Efficiency, SIGMOD 2024.
    4. Jianwei Wang, Ying Zhang, Kai Wang, Xuemin Lin, Wenjie Zhang, Missing Data Imputation with Uncertainty-Driven Network, SIGMOD 2024.
    5. Jingyi Song, Dong Wen, Lantian Xu, Lu Qin, Wenjie Zhang, Xuemin Lin, On Querying Historical Connectivity in Temporal Graphs, SIGMOD 2024.
    6. Jianwei Wang, Kai Wang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Neural Attributed Community Search at Billion Scale, SIGMOD 2024. [slides]
    7. Jiujing Zhang, Zhitao Shen, Shiyu Yang, Lingkai Meng, Chuan Xiao, Wei Jia, Yue Li, Qinhui Sun, Wenjie Zhang, Xuemin Lin, High-ratio Compression for Machine-Generated Data, SIGMOD 2024.
    8. Xueyi Wu, Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach, VLDB 2024.
    9. Jianwei Wang, Kai Wang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Efficient Unsupervised Community Search with Pre-trained Graph Transformer, VLDB 2024. [slides]
    10. Kaiyu Chen, Dong Wen, Wenjie Zhang, Ying Zhang, Xiaoyang Wang, Xuemin Lin, Querying Structural Diversity in Streaming Graphs, VLDB 2024.
    11. Xin Chen, Jieming Shi, You Peng, Wenqing Lin, Sibo Wang, Wenjie Zhang, Minimum Strongly Connected Subgraph Collection in Dynamic Graphs, VLDB 2024.
    12. Shunyang Li, Kai Wang, Xuemin Lin, Wenjie Zhang, Yizhang He, Long Yuan, Querying Historical Cohesive Subgraphs over Temporal Bipartite Graphs, ICDE 2024.
    13. Kongzhang Hao, Long Yuan, Wenjie Zhang, Xuemin Lin, Batch Hop-Constrained s-t Simple Path Query Processing in Large Graphs, ICDE 2024.
    14. Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Wei Ni, Ying Zhang, Butterfly Counting over Bipartite Graphs with Local Differential Privacy, ICDE 2024.
    15. Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Maria Orlowska, Xuemin Lin, TimeSGN: Scalable and Effective Temporal Graph Neural Network, ICDE 2024.
    16. Yanping Wu, Renjie Sun, Xiaoyang Wang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, Efficient Maximal Temporal Plex Enumeration, ICDE 2024.
    17. Jiexi Zhan, Han Wu, Peng Cheng, Libin Zheng, Lei Chen, Chen Zhang, Xuemin Lin, Wenjie Zhang, TrendSharing: a Framework to Discover and Follow the Trends for Shared Mobility Services, ICDE 2024.
    18. Hanchen Wang, Jianke Yu, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Xuemin Lin, Neural Similary Search on Supergraph Containment, ICDE 2024.
    19. Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, Xuemin Lin, Hypergraph Self-supervised Learning with Sampling-efficient Signals, IJCAI 2024.
    20. Qingshuai Feng, You Peng, Wenjie Zhang, Xuemin Lin, Ying Zhang, DSPC: Efficiently Answering Shortest Path Counting on Dynamic Graphs, EDBT 2024.
    21. Yuting Zhang, Kai Wang, Wenjie Zhang, Wei Ni, Xuemin Lin, Size-bounded Community Search over Large Bipartite Graphs, EDBT 2024.
    22. Yuanyuan Xu, Wenjie Zhang, Xiwei Xu, Ying Zhang, Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs, TheWebConf 2024.
    23. Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Scaling Up k-Clique Densest Subgraph Detection, SIGMOD 2023.[slides]
    24. Yufan Sheng, Xin Cao, Yixiang Fang, Jianzhong Qi, Gao Cong, Wenjie Zhang, WISK: A Workload-aware Learned Index for Spatial Keyword Queries, SIGMOD 2023. [slides]
    25. Jiabao Jin, Peng Cheng, Lei Chen, Xuemin Lin, Wenjie Zhang, Efficient Non-Learning Similar Subtrajectory Searc, VLDB 2023.
    26. Fan Zhang, Qingyuan Linghu, Kai Wang, Jiadong Xie, Xuemin Lin, Wenjie Zhang, Quantifying Node Importance over Network Structural Stability, KDD 2023.
    27. Jianke Yu, Hanchen Wang, Xiaoyang Wang, Li Zhao, Lu Qin, Wenjie Zhang, Jian Liao, Ying Zhang, Group-based Fraud Detection Network on e-Commerce Platform, KDD 2023. [paper] [slides]
    28. Zhengyi Yang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Shunyang Li, HGMatch: A Match-by-Hyperedge Framework for Subhypergraph Matching on Hypergraphs, ICDE 2023. [slides]
    29. Xubo Wang, Dong Wen, Wenjie Zhang, Ying Zhang, Lu Qin, Distributed Near-Maximum Independent Set Maintenance over Large-scale Dynamic Graphs, ICDE 2023.
    30. Yiqi Wang, Long Yuan, Zi Chen, Wenjie Zhang, Xuemin Lin, Qing Liu, Towards Efficient Shortest Path Counting on Billion-Scale Graphs, ICDE 2023.
    31. Leilei Du, Peng Cheng, Libin Zheng, Wei Xi, Xuemin Ling, Wenjie Zhang, Jing Fang, Dynamic Private Task Assignment under Differential Privacy, ICDE 2023.
    32. Yuhan Wu, Yuanyuan Xu, Xuemin Lin, Wenjie Zhang, A Holistic Approach for Answering Logical Queries on Knowledge Graphs, ICDE 2023.
    33. Renjie Sun, Chen Chen, Xiaoyang Wang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Efficient Maximum Signed Biclique Identification, ICDE 2023.
    34. You Peng, Zhuo Ma, Wenjie Zhang, Xuemin Lin, Ying Zhang, Xiaoshuang Chen, Efficiently Answering Quality Constrained Shortest Distance Queries in Large Graphs, ICDE 2023.
    35. Jiadong Xie, Fan Zhang, Kai Wang, Xuemin Lin, Wenjie Zhang, Minimizing the Influence of Misinformation via Vertex Blocking, ICDE 2023.
    36. Qingqiang Sun, Xuemin Lin, Ying Zhang, Wenjie Zhang, Chaoqi Chen, Towards Higher-order Topological Consistency for Unsupervised Network Alignment, ICDE 2023.
    37. You Peng, Xuemin Lin, Michael Yu, Wenjie Zhang, Lu Qin, TDB: Breaking All Hop-Constrained Cycles in Billion-Scale Directed Graphs, ICDE 2023.
    38. Hanchen Wang, Rong Hu, Ying Zhang, Lu Qin, Wei Wang and Wenjie Zhang, Neural Subgraph Counting with Wasserstein Estimator, SIGMOD. [slides]
    39. Kongzhang Hao, Long Yuan, Wenjie Zhang, Distributed Hop-Constrained s-t Simple Path Enumeration at Billion Scale, VLDB 2022. [paper]
    40. Jianye Yang, Yun Peng, Wenjie Zhang, (p,q)-biclique Counting and Enumerating for Large Sparse Bipartite Graphs, VLDB 2022. [paper]
    41. Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang ang Shunyang Li, Discovering Hierarchy of Bipartite Graphs with Cohesive Subgraphs, ICDE 2022. [slides]
    42. Gengda Zhao, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang and Yizhang He, Efficient Computation of Coheisve Subgraphs in Uncertain Bipartite Graphs, ICDE 2022. [slides]
    43. Zhirong Yuan, You Peng, Peng Cheng, Li Han, Xuemin Lin, Lei Chen, Wenjie Zhang, Efficient k-clique Listing with Set Intersection Speedup, ICDE 2022. [slides]
    44. Renjie Sun, Yanping Wu, Chen Chen, Xiaoyang Wang,Wenjie Zhang, Xuemin Lin Maximal Balanced Signed Biclique Enumeration in Signed Bipartite Graphs, ICDE 2022.
    45. Yishu Wang, Ye Yuan, Wenjie Zhang, Yi Zhang, Xuemin Lin, Guoren Wang, Reachability-driven Influence Maximization in Time-dependent Road-social Networks, ICDE 2022.
    46. Deming Chu,Fan Zhang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Hierarchical Core Decomposition in Parallel: From Construction to Subgraph Search, ICDE 2022. [slides]
    47. Hanchen Wang, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang, Xuemin Lin Reinforcement Learning based Query Vertex Ordering Model fo Subgraph Matching, ICDE 2022.
    48. Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Efficient Reinforcement of Bipartite Networks at Billion Scale, ICDE 2022. [slides]
    49. Qingshuai Feng,You Peng, Wenjie Zhang, Ying Zhang, Xuemin Lin, Towards Real-Time Counting Shortest Cycles on Dynamic Graphs: A Hub Labelling Approach, ICDE 2022. [slides]
    50. Yuanhang Yu, Dong Wen, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, GPU-accelerated Proximity Graph Approximate Nearest Neighbor Search and Construction, ICDE 2022.
    51. Kai Wang, Wenjie Zhang,Xuemin Lin, Lu Qin, Alexander Zhou Efficient Personalized Maximum Biclique Search, ICDE 2022. [slides]
    52. Chenji Huang, Yixiang Fang, Xuemin Lin, Xin Cao, Wenjie Zhang, Maria Orlowska, Estimating Node Importance Values in Heterogeneous Information Networks, ICDE 2022.
    53. Jiabao Jin, Peng Cheng, Lei Chen, Xuemin Lin, Wenjie Zhang, GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models, ICDE 2022.
    54. Zhengyi Yang, Longbin Lai, Xuemin Lin, Kong Zhang Hao, Wenjie Zhang, HUGE: An Efficient and Scalable Subgraph Enumeration Systems, SIGMOD 2021. [slides]
    55. Yixiang Fang, Kai Wang, Xuemin Lin, Wenjie Zhang Cohesive Subgraph Search over Big Heterogeneous Information Networks: Applications, Challenges, and Solutions, SIGMOD 2021.
    56. Zhe Lin, Fan Zhang, Xuemin Lin, Wenjie Zhang, Zhihong Tian, Hierarchical Core Maintenance on Large Dynamic Graphs, VLDB 2021.
    57. Xiaoshuang Chen, Kai Wang, Xuemin Lin, Wenjie Zhang, Lu Qin, Ying Zhang Efficiently Answering Reachability and Path Queries on Temporal Bipartite Graphs, VLDB 2021. [Slides]
    58. Michael Yu,Dong Wen, Lu Qin, Ying Zhang, Wenjie Zhang, Xuemin Lin On Quering Historical K-Cores, VLDB 2021. [slides]
    59. Yixing Yang, Yixiang Fang, Maria E. Orlowska, Wenjie Zhang, Xuemin Lin, Efficient Bi-triangle Counting for Large Bipartite Networks, VLDB 2021.
    60. Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Lu Qin, Yuting Zhang, Efficient and Effective Community Search on Large-scale Bipartite Graphs, ICDE 2021. [slides]
    61. Boge Liu, Fan Zhang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Efficient Community Search with Size Constraint, ICDE 2021. [slides]
    62. Zhengmin Lai, You Peng, Shiyu Yang, Xuemin Lin, Wenjie Zhang, PEEP: Efficient k-hop Constraint s-t Simple Path Enumeration on FPGA, ICDE 2021.
    63. Michael Yu, Lu Qin, Ying Zhang, Wenjie Zhang, Xuemin Lin, DPTL+: Efficient Parallel Triangle Listing on Batch-Dynamic Graphs, ICDE 2021. [slides]
    64. Yuanhang Yu, Dong Wen, Ying Zhang, Xiaoyang Wang, Wenjie Zhang, Xuemin Lin, Efficient Matrix Factorization on Heterogeneous CPU-GPU Systems, ICDE 2021.
    65. Peilun Yang, Hanchen Wang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, T3S: Effective Representation Learning for Trajectory Similarity Computation, ICDE 2021.
    66. Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang, Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model, CIKM 2021.
    67. Jianhua Wang, Jianye Yang, Wenjie Zhang, Top-k Tree Similarity Join, CIKM 2021.
    68. Yuting Zhang, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Pareto-optimal Community Search on Large Bipartite Graps, CIKM 2021.
    69. Kai Wang, Yiheng Hu, Xuemin Lin,Wenjie Zhang, Lu Qin, Ying Zhang, A Cohesive Subgraph Based Bipartite Graph Analytics System, CIKM 2021.
    70. You Peng, Wenjie Zhao, Wenjie Zhang, Xuemin Lin, Ying Zhang, DLQ: A System for Label-Constrained Reachability Queries on Dynamic Graphs, CIKM 2021.
    71. Shunyang Li, Zhengyi Yang, Xianhang Zhang, Wenjie Zhang, Xuemin Lin, SQL2Cypher: Automated Data and Query Migration from DBMS to GDMS, WISE 2021.
    72. Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V.S. Lakshmanan, Wenjie Zhang, Xuemin Lin, Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs, SIGMOD 2020. One of the Best Papers
    73. Qingyuan Linghu, Fan Zhang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Global Reinforcement of Social Networks: The Anchored Coreness Problem, SIGMOD 2020. [slides]
    74. Yixiang Fang, Yixing Yang, Wenjie Zhang, Xuemin Lin, Xin Cao, Ective and Exploringcient Community Search over Large Heterogeneous Information Networks, VLDB 2020. [slides]
    75. You Peng, Ying Zhang, Lu Qin, Xuemin Lin, Wenjie Zhang, Answering Billion-scale Label-constraint Reachability Queries within Microsecond, VLDB 2020. [slides]
    76. Jianye Yang, Wenjie Zhang, Xiang Wang, Ying Zhang, Xuemin Lin, Distributed Streaming Set Similarity Join, ICDE 2020.
    77. Dong Wen, Yilun Huang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, Efficiently Answering Span-Reachability Queries in Large Temporal Graphs, ICDE 2020.
    78. Kai Wang, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang, Efficient Bitruss Decomposition for Large-scale Bipartite Graphs, ICDE 2020. [slides]
    79. Deming Chu, Fan Zhang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Yinglong Xia, Chenyi Zhang, Finding the Best k in Core Decomposition: A Time and Space Optimal Solution, ICDE 2020.
    80. Yixing Yang, Yixiang Fang, Xuemin Lin, Wenjie Zhang, Effective and Efficient Truss Computation Over Large Heterogeneous Information Networks, ICDE 2020. [slides]
    81. Lijun Chang, Xing Feng, Xuemin Lin, Lu Qin, Wenjie Zhang, Dian Ouyang, Speeding Up GED Verification for Graph Similarity Search, ICDE 2020.
    82. Chen Zhang, Fan Zhang, Wenjie Zhang, Boge Liu, Ying Zhang, Lu Qin, Xuemin Lin, Exploring Finer Granularities within the Cores: Efficient (k,p)-core Computation, ICDE 2020.
    83. Wanqi Liu, Hanchen Wang, Ying Zhang, Lu Qin, Wenjie Zhang, I/O Efficient Algorithm for c-approximate Furthest Neighbor Search in High-dimensional Space, DASFAA 2020.
    84. Michael Yu, Lu Qin, Ying Zhang, Wenjie Zhang, Xuemin Lin, AOT: Pushing the Efficiency Boundary of Main-memory Triangle Listing, DASFAA 2020. [PDF] Best Paper Award
    85. Ran Wang, Zhengyi Yang, Wenjie Zhang, Xuemin Lin, An Empirical Study on Recent Graph Database Systems, KSEM 2020. Best Student Paper Award
    86. Boge Liu, Fan Zhang, Chen Zhang, Wenjie Zhang, Xuemin Lin, CoreCube: Core Decomposition in Multilayer Graphs, WISE 2019.
    87. Chen Zhang, Wenjie Zhang, Ying Zhang, Lu Qin, Fan Zhang, Xuemin Lin, Selecting the Optimal Groups: Efficiently Computing Skyline k-Cliques, CIKM 2019.
    88. Zhongxin Zhou, Fan Zhang, Xuemin Lin, Wenjie Zhang, Chen Chen, k-Core Maximization: An Edge Addition Approach, IJCAI 2019.
    89. Kai Wang, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang, Vertex Priority Based Butterfly Counting for Large-scale Bipartite Networks, VLDB 2019. [slides]
    90. Longbin Lai, Zhu Qing, Zi Yang, Xin Jin, Zhengmin Lai, Ran Wang, Kongzhang Hao, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang, Zhengping Qian, Jingren Zhou, Distributed Subgraph Matching on Timely Dataflow, VLDB 2019.
    91. Boge Liu, Long Yuan, Lu Qin, Xuemin Lin, Wenjie Zhang, Jingren Zhou, Efficient <\alfph, \beta>-Core Computation: an Index-based Approach, WWW 2019. [slides]
    92. Xuefeng Chen, Xin Cao, Zhiqiang Xu, Shuo Shang, Ying Zhang, Wenjie Zhang, Exact and Approximate Aproaches to Maximizing Bichromatic Reverse k Nearest Neighbor, ICDE 2019.
    93. Chen Zhang, Ying Zhang, Wenjie Zhang, Lu Qin, Jianye Yang, Efficient Maximal Spatial Clique Enumeration, ICDE 2019.
    94. Yang Yang, Ying Zhang, Wenjie Zhang, Zengfeng Huang, GB-KMV: An Augmented KMV Sketch for Approximate Containment Similarity Search, ICDE 2019.
    95. Xudong Wu, Long Yuan, Xuemin Lin, Shiyu Yang, Wenjie Zhang, Towards Efficient k-TriPeak Decomposition on Large Graphs, DASFAA 2019.
    96. Yang Yang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Liping Wang, Selectivity Estimation on Set Containment Search, DASFAA 2019. One of the Best Papers
    97. Junjie Zhang, Liping Wang, Wenjie Zhang, Junjie Yao, A Signal Quality Assessment Method for Electrocardiography Accquired by Mobile Device, BIBM 2018.
    98. Fei Bi, Lijun Chang, Xuemin Lin, Wenjie Zhang, An Optimal and Progressive Approach to Online Search of Top-k Influential Communities, VLDB 2018.
    99. Kai Wang, Xin Cao, Xuemin Lin, Wenjie Zhang, Lu Qin, Efficient Computing of Radius-Bounded k-Cores, ICDE 2018.   [slides]
    100. You Peng, Ying Zhang, Wenjie Zhang, Xuemin Lin, Lu Qin, Efficient Probabilistic K-Core Computation on Uncertain Graphs, ICDE 2018.   [slides]
    101. Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, Efficient Reinforcing Social Networks over User Engagement and Tie Strength, ICDE 2018.   [slides]
    102. Weiwei Liu, Zhuanghua Liu, Ivor W. Tsang, Wenjie Zhang, Xuemin Lin, Doubly Approximate Nearest Neighbor Approximation, AAAI 2018.
    103. Jing Wang, Feng Tian, Weiwei Liu, Xiao Wang, Wenjie Zhang, Kenji Yamanishi, Ranking Preserving Nonnegative Matrix Factorization, IJCAI 2018.
    104. Long Yuan, Lu Qin, Xuemin Lin, Lijun Chang, Wenjie Zhang, Effective and Efficient Dynamic Graph Coloring, VLDB 2017.
    105. Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, When Engagement Meets Similarity: Efficient (k, r)-Core Computation on Social Networks, VLDB 2017.   [slides]
    106. Yuheng Wang, Xiang Zhao, Yifan Chen, Wenjie Zhang, Local Top-N Recommendation via Refined Item-User Bi-Clustering, WISE 2017.
    107. Zengfeng Huang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Efficient Matrix Sketching over Distributed Data, PODS 2017.
    108. Fan Zhang, Wenjie Zhang, Ying Zhang, Lu Qin, Xuemin Lin, OLAK: An Efficient Algorithm to Prevent Unravelling in Social Networks, VLDB 2017.   [slides]
    109. Jianye Yang, Wenjie Zhang, Ying Zhang, Xuemin Lin, TT-Join: Efficient Set Containment Join, ICDE 2017.   [Slides]
    110. Haida Zhang, Zengfeng Huang, Zhewei Wei, Wenjie Zhang, Xuemin Lin, Tracking Matrix Approximations over Distributed Sliding Windows, ICDE 2017.
    111. Lijun Chang, Wei Li, Wenjie Zhang, Computing A Near-Maximum Independent Set in Linear Time by Reducing-Peeling, SIGMOD 2017. [Slides]
    112. Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, Finding Critical Users for Social Network Engagement: The Collapsed k-Core Problem, AAAI 2017.
    113. Yang Wang, Wenjie Zhang, Lin Wu, Xuemin Lin, M Fang, S Pan, Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering, IJCAI 2016.
    114. Fei Bi, Lijun Chang, Xuemin Lin, Lu Qin, Wenjie Zhang, Efficient Subgraph Matching by Postponing Cartesian Products, SIGMOD 2016. [Slides]
    115. Xiaoyang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Distance-Aware Influence Maximization in Geo-social Network, ICDE 2016.[Slides]
    116. Jianye Yang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Influence based cost optimization on user preference, ICDE 2016. [Slides]
    117. Lijun Chang, Wei Li, Xuemin Lin, Lu Qin, Wenjie Zhang, pSCAN: Fast and Exact Structural Graph Clustering, ICDE 2016. [Slides]
    118. Xing Feng, Lijun Chang, Xuemin Lin, Lu Qin, Wenjie Zhang, Computing Connected Components with Linear Communication Cost in Pregel-like Systems, ICDE 2016. [Slides]
    119. Wenjie Zhang, Xuemin Lin, Ying Zhang , Ke Zhu, Gaoping Zhu, Efficient Probabilistic Supergraph Search, ICDE 2016.
    120. Xiang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Zengfeng Huang, SKYPE: Top-k Spatial-keyword Publish/Subscribe Over Sliding Window, VLDB 2016. [Slides]
    121. Long Yuan, Lu Qin, Xuemin Lin, Lijun Chang, Wenjie Zhang, I/O Efficient ECC Graph Decomposition via Graph Reduction, VLDB 2016.
    122. Liming Zhan, Ying Zhang, Wenjie Zhang, Xiaoyang Wang, Xuemin Lin, Range Search on Uncertain Trajectories, CIKM 2015. [Slides]
    123. Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang, Effective Multi-Query Expansions: Robust Landmark Retrieval, MM 2015.
    124. Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang, Qing Zhang, LBMCH: Learning Bridging Mappings for Cross-modal Hashing, SIGIR 2015.
    125. Xiaoyang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Muhammad Aamir Cheema, Optimal Spatial Dominance: An effective search of Nearest Neighbor Candidates , SIGMOD 2015. [Slides]
    126. Lijun Chang, Xuemin Lin, Lu Qin, Jeffrey Xu Yu, Wenjie Zhang, Index-based Optimal Algorithms for Computing Steiner Components with Maximum Connectivity, SIGMOD 2015.
    127. Lijun Chang, Xuemin Lin, Wenjie Zhang, Jeffrey Xu Yu, Ying Zhang, Lu Qin, Optimal Enumeration: Efficient Top-k Tree Matching, VLDB 2015.
    128. Xiang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Wei Wang, AP-Tree: Efficiently Support Continuous Spatial Keyword Queries over Streams, ICDE 2015. [Slides]
    129. Long Yuan, Lu Qin, Xuemin Lin, Lijun Chang, Wenjie Zhang, Diversified Top-k Clique Search, ICDE 2015. [Slides]
    130. Xiaoyang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Wei Wang, Selectivity Estimation On Streaming SpatioTextual Data Using Local Correlations, VLDB 2015. [Slides]
    131. Fei Bi, Lijun Chang, Wenjie Zhang, Xuemin Lin, Efficient String Similarity Search, DASFAA 2015. [Slides]
    132. Yuxing Han, Liping Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Spatial Keyword Range Search on Trajectories, DASFAA 2015. [Slides]
    133. Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang, Qing Zhang, Exploiting Correlation Consensus: Towards Subspace Clustering for Multi-modal data, MM 2014.
    134. Yang Wang, Jian Pei, Xuemin Lin, Qing Zhang, Wenjie Zhang, An iterative fusion approach for graph based semi-supervised learning from multi-views, PAKDD 2014.
    135. Ying Zhang, Wenjie Zhang, Xuemin Lin, Muhammad Aamir Cheema, Chengqi Zhang, Matching Dominance: Capture the Semantics of Dominance for Multi-dimensional Uncertain Objects, SSDBM 2014.
    136. Xiaoyang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Efficiently Identify Local Frequent Keyword Co-occurrence Patterns in Geo-tagged Twitter Stream, SIGIR 2014.
    137. Xiang Zhao, Chuan Xiao, Wenjie Zhang, Xuemin Lin, Improving Performance of Graph Similarity Joins Using Selected Substructures, DASFAA 2014.
    138. Liming Zhan, Ying Zhang, Wenjie Zhang, Xuemin Lin, Identifying Top k Dominating Objects over Uncertain Data, DASFAA 2014.
    139. Chengyuan Zhang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Muhammad Aamir Cheema, Xiaoyang Wang, Diversi.ed Spatial Keyword Search On Road Networks, EDBT 2014.
    140. Muhammad Aamir Cheema, Zhitao Shen, Xuemin Lin, Wenjie Zhang, A Unified Framework for Efficiently Processing Ranking Related Queries, EDBT 2014. [Slides]
    141. Weiren Yu, Xuemin Lin, Wenjie Zhang, Fast Incremental SimRank on Link-Evolving Graphs, ICDE 2014. [Slides]
    142. Xiang Zhao, Chuan Xiao, Xuemin Lin, Qing Liu, Wenjie Zhang, A Partition-based Approach to Structure Similarity Search, VLDB 2014.
    143. Weiren Yu, Xuemin Lin, Wenjie Zhang, Lijun Chang, Jian Pei, More is Simpler: Effectively and Efficiently Assessing Node-Pair Similarity based on Hype-links, VLDB 2014. [Slides]
    144. Muhammad Aamir Cheema, Xuemin Lin, Wenjie Zhang, Ying Zhang, A Safe Zone Based Approach for Monitoring Moving Skyline Queries, EDBT 2013. [Slides]
    145. Weiren Yu, Xuemin Lin, Wenjie Zhang, Towards Efficient SimRank Computation on Large Graphs, ICDE 2013. One of the Best Papers [Slides]
    146. Chengyuan Zhang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Inverted Linear Quadtree : Efficient Top K Spatial Keyword Search, ICDE 2013. [Slides]
    147. Xiang Zhao, Haichuan Shang, Wenjie Zhang, Xuemin Lin, Weidong Xiao, On Efficient Graph Substructure Selection, DASFAA 2013. [Slides]
    148. Qianlu Lin, Ying Zhang, Wenjie Zhang, Xuemin Lin, AVR-Tree: Speeding up the Nearest Neighbor Join based Queries, DASFAA 2013.
    149. Wenjie Zhang, Aiping Li, Muhammad Aamir Cheema, Ying Zhang, Lijun Chang, Probabilistic n-of-N Skyline Computation over Uncertain Data Streams, WISE 2013. [Slides] Best Paper Award
    150. Liming Zhan, Ying Zhang, Wenjie Zhang, Xuemin Lin, Finding Topk Most Influential Spatial Facilities over Uncertain Objects, CIKM 2012. [PDF] [Slides]
    151. Weiren Yu, Jiajin Le, Xuemin Lin, Wenjie Zhang, On the Efficiency of Estimating Penetrating Rank on Large Graphs, SSDBM 2012. [PDF] [Slides]
    152. Weiren Yu, Xuemin Lin, Wenjie Zhang, Ying Zhang, Jiajin Le, SimFusion+: Extending SimiFusion Towards Efficient Estimation on Large Dynamic Networks, SIGIR 2012. [PDF][Slides]
    153. Gaoping Zhu, Xuemin Lin, Ke Zhu, Wenjie Zhang, Jeffrey X. Yu, TreeSpan: Efficiently Computing Similarity All-Matching, SIGMOD 2012. [PDF] [Slides]
    154. Ying Zhang, Wenjie Zhang, Qianlu Lin, Xuemin Lin, Effectively Indexing the Multi-Dimensional Uncertain Objects for Range Searching, EDBT 2012. [PDF]
    155. Zhitao Shen, Muhammad Aamir Cheema, Xuemin Lin, Wenjie Zhang, Wei Wang, Efficiently Monitoring Top-k Pairs over Sliding Windows, ICDE 2012. One of the Best Papers [PDF] [Slides]
    156. Wenjie Zhang, Jing Xu, Xin Liang, Ying Zhang, Xuemin Lin, Top-k Similarity Join over Multi-valued Objects, DASFAA 2012. One of the Best Papers [PDF] [Slides]
    157. Qianlu Lin, Ying Zhang, Wenjie Zhang, General Spatial Skyline Operator, DASFAA 2012. [PDF]
    158. Gaoping Zhu, Ke Zhu, Wenjie Zhang, Xuemin Lin, Chuan Xiao, Efficient Subgraph Similarity All-Matching, DASFAA 2012. Best Student Paper Award. [PDF] [Slides]
    159. Ke Zhu, Wenjie Zhang, Gaoping Zhu, Ying Zhang, Xuemin Lin, BMC: An Efficient Method to Evaluate Probabilistic Reachability Queries, DASFAA 2011. [PDF]
    160. Mahady Hansan, Muhammad Aamir Cheema, Xuemin Lin, Wenjie Zhang, A Unified Algorithm for Continuous Monitoring of Spatial Queries, DASFAA 2011. [PDF] [Slides]
    161. Xuemin Lin, Ying Zhang, Wenjie Zhang, Muhammad Aamir Cheema, Stochastic Skyline Operator, ICDE 2011.[PDF] [Slides]
    162. Muhammad Aamir Cheema, Xuemin Lin, Wenjie Zhang, Ying Zhang, Influence Zone: Efficiently Processing Reverse k Nearest Neighbors Queries, ICDE 2011. [ PDF ] [Slides]
    163. Muhammad Aamir Cheema, Xuemin Lin, Haixun Wang, Jianmin Wang, Wenjie Zhang, A Unified Approach for Computing Top-k Pairs in Multidimensional Space, ICDE 2011. [ PDF ]
    164. Gaoping Zhu, Xuemin Lin, Wenjie Zhang, Wei Wang, Haichuan Shang, PrefIndex: An Efficient Supergraph Containment Search Technique , SSDBM 2010.
    165. Wenjie Zhang, Ying Zhang, Muhammad Aamir Cheema, Xuemin Lin, Counting Distinct Objects over Sliding Windows, ADC 2010. ( Best Paper Award)   [PDF] [Slides]
    166. Wenjie Zhang, Xuemin Lin, Muhammad Aamir Cheema, Ying Zhang, Wei Wang, Quantile-Based KNN Over Multi-Valued Objects, ICDE 2010. [PDF] [Slides]
    167. Ying Zhang, Xuemin Lin, Gaoping Zhu, Wenjie Zhang, Qianlu Lin, Efficient Rank Based KNN Processing over Uncertain Data, ICDE 2010. [PDF]
    168. Muhammad Aamir Cheema, Ljiljana Brankovic, Xuemin Lin, Wenjie Zhang, Wei Wang, Multi-Guarded Safe Zone: An Efficient Technique to Monitor Moving Circular Range Queries , ICDE 2010. One of the Best Papers. [PDF] [Slides]
    169. Muhammad Aamir Cheema, Xuemin Lin, Ying Zhang, Wei Wang, Wenjie Zhang, Lazy Updates: An Efficient Technique to Continuously Monitoring Reverse kNN, VLDB 2009.   [PDF] [Slides]
    170. Shuxiang Yang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Probabilistic Threshold Range Aggregate Query Processing over Uncertain Data, APWebWAIM 2009 Best Paper Award. [PDF] [Slides]
    171. Wenjie Zhang, Xuemin Lin, Ying Zhang, Wei Wang, Jeffrey Xu Yu, Probabilistic Skyline Operator over Sliding Windows, ICDE 2009.  [PDF] [Slides]
    172. Ying Zhang, Xuemin Lin, Yufei Tao, Wenjie Zhang, Uncertain Location based Range Aggregates in a Multi-Dimensional Space, ICDE 2009.  [PDF]
    173. Wenjie Zhang, Xuemin Lin, Jian Pei, Ying Zhang, Managing Uncertain Data: Probabilistic Approaches, WAIM 2008.  [PDF] (invited paper)
    174. Ming Hua, Jian Pei, Wenjie Zhang, Xuemin Lin, Ranking Queries on Uncertain Data: A Probabilistic Threshold Approach, SIGMOD 2008.  [PDF]
    175. Ming Hua, Jian Pei, Wenjie Zhang, Xuemin Lin, Efficiently Answering Probabilistic Threshold Top-k Queries on Uncertain Data, ICDE 2008.  [PDF]
  • Tutorials
    1. Bipartite Graph Analytics: Current Techniques and Future Trends , ICDE 2024.

    2. Reachability on Large-scale Graphs: Models, Techniques, and Trends, DASFAA 2022.

    3. Cohesive Subgraph Search over Big Heterogeneous Information Networks: Applications, Challenges, and Solutions, SIGMOD 2021.

    4. Cohesive Structure based Bipartite Graph Analysis: From Motif Discovery to Graph Decomposition, DASFAA 2020.

    5. Hierarchical Decomposition of Big Graphs, ICDE 2019.

    6. Cohesive Subgraphs with Hierarchical Decomposition on Big Graphs, DASFAA 2019.

    7. Ranking Complex Objects in a Multi-dimensional Space, DASFAA 2013 [Slides] (invited tutorial).

    8. Stochastic Orders and Skyline, NDBC 2011 [Slides](invited tutorial).
    Research Grants

      Australian 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.

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

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

    • 2021 - 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.

    • 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.

      Project funded by industry and government agencies

    • AI Trust and Trustworthiness: from responsible data management to retrieval-augmented generation for LLMs, $1.01 million.

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

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

    • Data-driven AI in Business Analytics, $75, 000.

    • Fraud Detection and Risk Mitigation in Financial Systems, $150,000.

    • Efficient Relational DBMS Development, $560,000.

    • 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.

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

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

    • Automatic and Integrative Business Solution for Valuation Data Warehousing, $30, 000.

    Teaching Experience

      I am/was a lecturer in the following courses.
    • DATA1001: Data Science and Decisions, S2, 2019.
    • COMP9311: Introduction to Database Systems, S3, 2019.
    • DATA1001: Data Science and Decisions, S2, 2018.
    • DATA1001: Data Science and Decisions, S2, 2017.
    • COMP9311: Introduction to Database Systems, S2, 2015.
    • COMP9311: Introduction to Database Systems, S1, 2013.
    • COMP9311: Introduction to Database Systems, S1, 2012.
    • COMP9311: Introduction to Database Systems, S1, 2011.
    • COMP9311: Introduction to Database Systems, S1, 2010.
    • COMP9311: Introduction to Database Systems, S2, 2008.
    Research Student Supervision

      PhD students graduated
    • Chengyuan Zhang, from Sun Yat-Sen University, currently Assistant Professor in Central South University China.
    • Weiren Yu, from Donghua University China, currently Lecturer in Aston University, UK.
    • Jianye Yang, from Northweastern Polytechnical University, currently with Alibaba.
    • Xiang Wang, from Peking University China, currently IT engineer in Japan.
    • Xing feng, from Zhejiang University, currently with Google.
    • Fei Bi, from University of Wollongong, currently with Microsoft in Seattle.
    • Chen Zhang, from Xidian University, currently with Xidian University.
    • Yang Yang, from Wuhan University, currently postdoc in ANU.
    • Wei Li, from Wuhan University, currently postdoc in UNSW.
    • Boge Liu, from Tsinghua University, currently postdoc in UNSW.
    • You Peng, from Tsinghua University, currently postdoc in UNSW.
    • Kai Wang, from Zhejiang Univesity, currently postdoc in UNSW.
    Master students and Research Project students
    • Jing Xu, master by research
    • Xin Liang, research proejct
    • Shanqing Jiang, research project
    Professional Activities

      Associate Editor for:
    • IEEE Transactions on Knowledge and Data Engineering (TKDE), since 2016
    • VLDB Journal, since 2022
    Steering Committee Member for:
    • DASFAA, 2017 - 2023
    • ADC (Australasian Database Conference), since 2021
    Program Committee Chair for:
    • The 8th APWeb-WAIM International Joint Conference on Web and Big Data 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 Area Chair for:
    • ICDM 2023
    • ICDE 2023
    • PVLDB 2023 (Associate Editor)
    • PVLDB 2022 (Associate Editor)
    • ICDE 2019 Spatial Track
    Organizing Committee for:
    • Demo Chair for DASFAA 2021
    • TKDE Poster Track Chair of ICDE 2019
    • Doctoral Colloquium co-chair of MDM 2018
    • TKDE Poster Track chair of ICDE 2017
    • Workshop co-Chair of APWeb 2016
    • Chair for Research Student Symposium of APWeb 2015
    • Publicity Chair of WISE 2013
    • Publication Chair of APWeb 2013
    • Publicity Chair of ICDM 2010
    Program Committee for:
    • 2023: SIGMOD 2023, VLDB 2023 (Associate Editor), ICDM (Area Chair), ICDE (area chair), CIKM (SPC).
    • 2022: SIGMOD 2022, VLDB 2022 (Associate Editor), ICDE 2022, CIKM 2022 (SPC), KDD 2022
    • 2021: SIGMOD 2021, VLDB 2021, ICDE 2021, CIKM 2021 (senior PC), KDD 2021, SIGIR 2021, AAAI 2021, WSDM 2021, BigData 2021, DASFAA (senior TPC) 2021
    • 2020: VLDB 2020, KDD 2020, SIGIR 2020, CIKM 2020, SIGSPATIAL 2020, PAKDD 2020
    • 2019: VLDB 2019, KDD 2019, CIKM 2019 (senior PC), SIGSPATIAL 2019, PAKDD 2019, ICDSC 2019, DASFAA 2019, ER 2019
    • 2018: VLDB 2018, EDBT 2018, CIKM 2018, SIGSPATIAL 2018, DASFAA 2018, PAKDD 2018
    • 2017: CIKM 2017, PAKDD 2017, DASFAA 2017
    • 2016: EDBT 2016, PAKDD 2016, WAIM 2016, SIGSPPATIAL 2016
    • 2015: EDBT 2015, CIKM 2015 (senior PC), SSTD 2015, SIGSPATIAL 2015, PAKDD 2015, WISE 2015
    • 2014: VLDB 2014, SIGSPATIAL 2014, VLDB PhD Workshop 2014, CIKM 2014, PAKDD 2014, WISE 2014, WebDB 2014
    • 2013: ICDE 2013, VLDB 2013 , SDM 2013, PAKDD 2013, DASFAA 2013
    • 2012: VLDB 2012 (PhD Track), APWeb 2012, DASFAA 2012 , DBKDA 2012, FCST 2012
    • 2011: FCST 2011 , APWeb 2011, DBKDA 2011
    • 2010: CIKM 2010, FCST 2010
    • 2009: MOUND 2009 (workshop associated with ICDE 2009).