By Professor Wenjie Zhang

Conference Papers

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 Proceedings of the 32nd ACM International Conference on Multimedia, ACM, pp. 2870 - 2878, presented at MM '24: The 32nd ACM International Conference on Multimedia, 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 Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, ACM, pp. 1597 - 1606, presented at CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management, 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

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

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

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

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

Zhang W, 2022, 'Structure-based Large-scale Dynamic Heterogeneous Graphs Processing: Applications, Challenges and Solutions', in Companion Proceedings of the Web Conference 2022, ACM, pp. 1006 - 1006, presented at WWW '22: The ACM Web Conference 2022, http://dx.doi.org/10.1145/3487553.3526094

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

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

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

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

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

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

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

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

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

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

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