By Professor Wenjie Zhang

Conference Papers

Xu X; Zhang D; Zhang W; Lu Q; Zhu L, 2025, 'Design Process for Retrieval Augmented Generation Systems', in Proceedings 2025 IEEE 22nd International Conference on Software Architecture Icsa C 2025, pp. 482 - 487, http://dx.doi.org/10.1109/ICSA-C65153.2025.00072

Li X; Yang Z; Hao K; Shu X; Cao X; Zhang W, 2025, 'Distributed Hop-Constrained s-t Simple Path Enumeration in Labelled Graphs', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 265 - 278, http://dx.doi.org/10.1007/978-981-96-1242-0_20

Yin H; Wang K; Zhang W; Zhang Y; Wu R; Lin X, 2025, 'Efficient Computation of Hyper-triangles on Hypergraphs', in Proceedings of the VLDB Endowment, pp. 729 - 742, http://dx.doi.org/10.14778/3712221.3712238

Tang Y; Wang J; Chen C; Wang X; Zhang W; Zhang Y, 2025, 'Mitigate the Damage of Rumor on Susceptible Group', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 389 - 402, http://dx.doi.org/10.1007/978-981-96-1242-0_29

Chu D; Gao Z; Zhang F; Zhang W; Lin X; Tian Z, 2025, 'Most Similar Biclique Search at Scale', in Proceedings of the VLDB Endowment, pp. 1022 - 1034, http://dx.doi.org/10.14778/3717755.3717763

Ding Z; Chen Y; Wang H; Wang X; Zhang W; Zhang Y, 2025, 'TIformer: A Transformer-Based Framework for Time-Series Forecasting with Missing Data', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 71 - 84, http://dx.doi.org/10.1007/978-981-96-1242-0_6

Xu C; Fu H; Ma L; Jia W; Zhang C; Xia F; Ai X; Li B; Zhang W, 2024, 'Seeing Text in the Dark: Algorithm and Benchmark', in Mm 2024 Proceedings of the 32nd ACM International Conference on Multimedia, pp. 2870 - 2878, http://dx.doi.org/10.1145/3664647.3680728

Luo Q; Zhang W; Yang Z; Wen D; Wang X; Yu D; Lin X, 2024, 'Hierarchical Structure Construction on Hypergraphs', in International Conference on Information and Knowledge Management Proceedings, pp. 1597 - 1606, http://dx.doi.org/10.1145/3627673.3679765

Bonifati A; Özsu MT; Tian Y; Voigt H; Yu W; Zhang W, 2024, 'The Future of Graph Analytics', in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 544 - 545, http://dx.doi.org/10.1145/3626246.3658369

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

Yuan L; Hao K; Lin X; Zhang W, 2024, 'Batch Hop-Constrained s-t Simple Path Query Processing in Large Graphs', in Proceedings International Conference on Data Engineering, pp. 2557 - 2569, http://dx.doi.org/10.1109/ICDE60146.2024.00201

Wang H; Wang K; Zhang W; Zhang Y, 2024, 'Bipartite Graph Analytics: Current Techniques and Future Trends', in Proceedings International Conference on Data Engineering, pp. 5358 - 5364, http://dx.doi.org/10.1109/ICDE60146.2024.00405

He Y; Wang K; Zhang W; Lin X; Ni W; Zhang Y, 2024, 'Butterfly Counting over Bipartite Graphs with Local Differential Privacy', in Proceedings International Conference on Data Engineering, pp. 2351 - 2364, http://dx.doi.org/10.1109/ICDE60146.2024.00186

Xie T; Zhang H; Wang S; Wan Y; Razzak I; Kit C; Zhang W; Hoex B, 2024, 'ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity', in IEEE International Conference on Data Mining Workshops Icdmw, pp. 907 - 911, http://dx.doi.org/10.1109/ICDMW65004.2024.00126

Ye Y; Ren J; Wang S; Wan Y; Razzak I; Hoex B; Wang H; Xie T; Zhang W, 2024, 'Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model', in Advances in Neural Information Processing Systems

Wang J; Wu Y; Wang X; Zhang Y; Lu Qin ; Zhang W; Lin X, 2024, 'Efficient Influence Minimization via Node Blocking', in Proceedings of the VLDB Endowment, pp. 2501 - 2513, http://dx.doi.org/10.14778/3675034.3675042

Feng Q; Zhang J; Zhang W; Qin L; Zhang Y; Lin X, 2024, 'Efficient kNN Search in Public Transportation Networks', in Proceedings of the VLDB Endowment, pp. 3402 - 3414, http://dx.doi.org/10.14778/3681954.3682009

Wu Y; Sun R; Wang X; Zhang Y; Qin L; Zhang W; Lin X, 2024, 'Efficient Maximal Temporal Plex Enumeration', in Proceedings International Conference on Data Engineering, pp. 3098 - 3110, http://dx.doi.org/10.1109/ICDE60146.2024.00240

Wang J; Wang K; Lin X; Zhang W; Zhang Y, 2024, 'Efficient Unsupervised Community Search with Pre-trained Graph Transformer', in Proceedings of the VLDB Endowment, pp. 2227 - 2240, http://dx.doi.org/10.14778/3665844.3665853

Zhao Y; Chen Z; Chen C; Wang X; Lin X; Zhang W, 2024, 'Finding the Maximum k-Balanced Biclique on Weighted Bipartite Graphs (Extended abstract)', in Proceedings International Conference on Data Engineering, pp. 5697 - 5698, http://dx.doi.org/10.1109/ICDE60146.2024.00480

Huang W; Wang H; Wen D; Chen X; Zhang W; Zhang Y, 2024, 'GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs', in Proceedings IEEE International Conference on Data Mining Icdm, pp. 141 - 150, http://dx.doi.org/10.1109/ICDM59182.2024.00021

Li F; Wang X; Cheng D; Zhang W; Zhang Y; Lin X, 2024, 'Hypergraph Self-supervised Learning with Sampling-efficient Signals', in Ijcai International Joint Conference on Artificial Intelligence, pp. 4398 - 4406

Yuan L; Li X; Zhao X; Chen Z; Zhang W; Lin X, 2024, 'I/O Efficient Label-Constrained Reachability feries in Large Graphs', in Proceedings of the VLDB Endowment, pp. 2590 - 2602, http://dx.doi.org/10.14778/3675034.3675049

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

Wang H; Yu J; Wang X; Chen C; Zhang W; Lin X, 2024, 'Neural Similarity Search on Supergraph Containment (Extended Abstract)', in Proceedings International Conference on Data Engineering, pp. 5709 - 5710, http://dx.doi.org/10.1109/ICDE60146.2024.00486

Zhang Y; Bui HT; Zipperle M; Buick F; Chand S; Hussain O; Wang M; Mo H; Zhang W, 2024, 'Perception Gaps Between Hashtag Stakeholders on X (Twitter) - Application on the Australian National Disability Insurance Scheme (#NDIS)', in Proceedings 2024 IEEE International Conference on E Business Engineering Icebe 2024, pp. 117 - 124, http://dx.doi.org/10.1109/ICEBE62490.2024.00027

Li S; Wang K; Lin X; Zhang W; He Y; Yuan L, 2024, 'Querying Historical Cohesive Subgraphs over Temporal Bipartite Graphs', in Proceedings International Conference on Data Engineering, pp. 2503 - 2516, http://dx.doi.org/10.1109/ICDE60146.2024.00197

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

Wang Y; Yuan L; Zhang W; Chen Z; Lin X; Liu Q, 2024, 'Simpler is More: Efficient Top-K Nearest Neighbors Search on Large Road Networks', in Proceedings of the VLDB Endowment, pp. 4683 - 4695, http://dx.doi.org/10.14778/3704965.3704975

Xu Y; Zhang W; Zhang Y; Orlowska M; Lin X, 2024, 'TimeSGN: Scalable and Effective Temporal Graph Neural Network', in Proceedings International Conference on Data Engineering, pp. 3297 - 3310, http://dx.doi.org/10.1109/ICDE60146.2024.00255

Zhan J; Wu H; Cheng P; Zheng L; Chen L; Zhang CJ; Lin X; Zhang W, 2024, 'TrendSharing: A Framework to Discover and Follow the Trends for Shared Mobility Services', in Proceedings International Conference on Data Engineering, pp. 4370 - 4382, http://dx.doi.org/10.1109/ICDE60146.2024.00333

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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