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Conference Papers

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

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, 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

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

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

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

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

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

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

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

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

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

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

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

Wang K; Hu Y; Lin X; Zhang W; Qin L; Zhang Y, 2021, 'A Cohesive Structure Based Bipartite Graph Analytics System', in International Conference on Information and Knowledge Management, Proceedings, pp. 4799 - 4803, http://dx.doi.org/10.1145/3459637.3481963

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

Peng Y; Zhao W; Zhang W; Lin X; Zhang Y, 2021, 'DLQ: A System for Label-Constrained Reachability Queries on Dynamic Graphs', in International Conference on Information and Knowledge Management, Proceedings, pp. 4764 - 4768, http://dx.doi.org/10.1145/3459637.3481978

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

Wang J; Yang J; Zhang W, 2021, 'Top-k Tree Similarity Join', in International Conference on Information and Knowledge Management, Proceedings, pp. 1939 - 1948, http://dx.doi.org/10.1145/3459637.3482304

Yang Z; Lai L; Lin X; Hao K; Zhang W, 2021, 'HUGE: An Efficient and Scalable Subgraph Enumeration System', in Proceedings of the ACM SIGMOD International Conference on Management of Data, Virtual Event China, pp. 2049 - 2062, presented at SIGMOD/PODS '21: International Conference on Management of Data, Virtual Event China, 20 June 2021, http://dx.doi.org/10.1145/3448016.3457237

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

Wang K; Zhang W; Lin X; Zhang Y; Qin L; Zhang Y, 2021, 'Efficient and effective community search on large-scale bipartite graphs', in Proceedings - International Conference on Data Engineering, pp. 85 - 96, http://dx.doi.org/10.1109/ICDE51399.2021.00015

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

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

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


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