Publications
Journal Papers
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Mo Zhou, Jianwei Wang, Xuanmeng Zhang, Dylan Campbell, Kai Wang, Long Yuan, Wenjie Zhang, Xuemin Lin, ProbDiffFlow: an efficient learning-free framework for probabilistic single-image optical flow estimation, Frontiers Comput. Sci. 2026.
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Renjie Sun, Chen Chen, Xiaoyang Wang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Efficient Maximal Balanced CliPlex Enumeration in Signed Graphs, IEEE Trans. Knowl. Data Eng. 2026.
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Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Chen Chen, Ying Zhang, Xuemin Lin, TCGU: Data-Centric Graph Unlearning Based on Transferable Condensation, IEEE Trans. Knowl. Data Eng. 2026.
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Conggai Li, Wei Ni, Ming Ding, Youyang Qu, Jianjun Chen, Wenjie Zhang, Thierry Rakotoarivelo, C2P-M: Critical Connection Protection in Multiplex Graphs, IEEE Trans. Knowl. Data Eng. 2026.
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Lantian Xu, Dong Wen, Lu Qin, Wenjie Zhang, Xubo Wang, Xuemin Lin, On Querying Historical Connectivity in Large-scale Temporal Graphs, VLDBJ 2026.
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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 Graphs, ACM Comput. Surv. 2025.
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Jiadong Xie, Fan Zhang, Kai Wang, Jialu Liu, Xuemin Lin, Wenjie Zhang, Influence Minimization via Blocking Strategies, INFORMS J. Comput. 2025.
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Wenqian Zhang, Zhengyi Yang, Dong Wen, Wentao Li, Wenjie Zhang, Xuemin Lin, Accelerating Core Decomposition in Billion-Scale Hypergraphs, Proc. ACM Manag. Data 2025.
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Qing Sima, Jianke Yu, Xiaoyang Wang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Deep Overlapping Community Search via Subspace Embedding, Proc. ACM Manag. Data 2025.
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Xinyi Ye, Xiangyang Gou, Lei Zou, Wenjie Zhang, AJOSC: Adaptive Join Order Selection for Continuous Queries, Proc. ACM Manag. Data 2025.
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Lingkai Meng, Yu Shao, Long Yuan, Longbin Lai, Peng Cheng, Xue Li, Wenyuan Yu, Wenjie Zhang, Xuemin Lin, Jingren Zhou, Revisiting Graph Analytics Benchmark, Proc. ACM Manag. Data 2025.
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Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Wei Ni, Robust Privacy-Preserving Triangle Counting under Edge Local Differential Privacy, Proc. ACM Manag. Data 2025.
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Lisheng Cao, Xiangyang Gou, Lei Zou, Wenjie Zhang, MAVIS: Materialized View for Subgraph Matching, Proc. ACM Manag. Data 2025.
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Lingkai Meng, Long Yuan, Xuemin Lin, Wenjie Zhang, Ying Zhang, Triangle Counting in Hypergraph Streams: A Complete and Practical Approach, Proc. ACM Manag. Data 2025.
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Jinghao Wang, Yanping Wu, Xiaoyang Wang, Ying Zhang, Wenjie Zhang, Lu Qin, Time-Critical Influence Minimization via Node Blocking, Proc. ACM Manag. Data 2025.
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Yufan Sheng, Xin Cao, Kaiqi Zhao, Yixiang Fang, Jianzhong Qi, Wenjie Zhang, Christian S. Jensen, ACE: A Cardinality Estimator for Set-Valued Queries, Proc. VLDB Endow. 2025.
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Qiuyu Guo, Jianye Yang, Wenjie Zhang, Hanchen Wang, Ying Zhang, Xuemin Lin, Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning based Approach, Proc. VLDB Endow. 2025.
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Jianmin Wang, Kai Wang, Ying Zhang, Wenjie Zhang, Xiwei Xu, Xuemin Lin, On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing, Proc. VLDB Endow. 2025.
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Benzhao Tang, Shiyu Yang, Zhitao Shen, Wenjie Zhang, Xuemin Lin, Zhihong Tian, LogLite: Lightweight Plug-and-Play Streaming Log Compression, Proc. VLDB Endow. 2025.
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Hanchen Wang, Ying Zhang, Wenjie Zhang, Machine Learning for Graph Data Management and Query Processing, Proc. VLDB Endow. 2025.
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Jianke Yu, Hanchen Wang, Xiaoyang Wang, Zhao Li, Lu Qin, Wenjie Zhang, Jian Liao, Ying Zhang, Bailin Yang, Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms, IEEE Trans. Knowl. Data Eng. 2025.
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Yongye Li, Renjie Sun, Chen Chen, Xiaoyang Wang, Ying Zhang, Wenjie Zhang, Discovering Cliques in Attribute Graphs Based on Proportional Fairness, IEEE Trans. Knowl. Data Eng. 2025.
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Yuanyuan Xu, Wenjie Zhang, Xuemin Lin, Ying Zhang, UniDyG: A Unified and Effective Representation Learning Approach for Large Dynamic Graphs, IEEE Trans. Knowl. Data Eng. 2025.
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Shunyang Li, Kai Wang, Wenjie Zhang, Xuemin Lin, Yizhang He, Efficient Bitruss Decomposition on GPU, IEEE Trans. Knowl. Data Eng. 2025.
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Yanping Wu, Renjie Sun, Xiaoyang Wang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, Efficient $k$-Plex Mining in Temporal Graphs, IEEE Trans. Knowl. Data Eng. 2025.
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Yuanyuan Xu, Wenjie Zhang, Xiwei Xu, Binghao Li, Ying Zhang, Scalable and Effective Temporal Graph Representation Learning With Hyperbolic Geometry, IEEE Trans. Neural Networks Learn. Syst. 2025.
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Yuanhang Yu, Dong Wen, Michael Yu, Lu Qin, Ying Zhang, Wenjie Zhang, Xuemin Lin, Querying historical K-cores in large temporal graphs, VLDBJ 2025.
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Qi Luo, Wenjie Zhang, Zhengyi Yang, Dongxiao Yu, Xuemin Lin, Liping Wang, Efficient indexing and searching of constrained core in hypergraphs, VLDBJ 2025.
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Renjie Sun, Chen Chen, Xiaoyang Wang, Yanping Wu, Wenjie Zhang, Ying Zhang, Xuemin Lin, Efficient maximum signed biclique and biplex identification in signed bipartite graphs, VLDBJ 2025.
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Jianke Yu, Hanchen Wang, Chen Chen, Xiaoyang Wang, Lu Qin, Wenjie Zhang, Ying Zhang, Xijuan Liu, RIDA: a robust attack framework on incomplete graphs, World Wide Web (WWW) 2025.
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Yiheng Hu, Binghao Li, Chengpei Xu, Sarp Saydam, Wenjie Zhang, FeatSync: 3D point cloud multiview registration with attention feature-based refinement, Neurocomputing 2024.
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Xulu Gong, Hanchen Wang, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Ying Zhang, Influence maximization on hypergraphs via multi-hop influence estimation, Inf. Process. Manag. 2024.
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Guangxin Su, Hanchen Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Simple and deep graph attention networks, Knowl. Based Syst. 2024.
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Xuan Luo, Jian Pei, Cheng Xu, Wenjie Zhang, Jianliang Xu, Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games, Proc. ACM Manag. Data 2024.
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Deming Chu, Fan Zhang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Graph Summarization: Compactness Meets Efficiency, Proc. ACM Manag. Data 2024.
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Jingyi Song, Dong Wen, Lantian Xu, Lu Qin, Wenjie Zhang, Xuemin Lin, On Querying Historical Connectivity in Temporal Graphs, Proc. ACM Manag. Data 2024.
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Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy, Proc. ACM Manag. Data 2024.
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Tong Xie, Yuwei Wan, Yufei Zhou, Wei Huang, Yixuan Liu, Qingyuan Linghu, Shaozhou Wang, Chunyu Kit, Clara Grazian, Wenjie Zhang, Bram Hoex, Creation of a structured solar cell material dataset and performance prediction using large language models, Patterns 2024.
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Kaiyu Chen, Dong Wen, Wenjie Zhang, Ying Zhang, Xiaoyang Wang, Xuemin Lin, Querying Structural Diversity in Streaming Graphs, Proc. VLDB Endow. 2024.
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Xin Chen, Jieming Shi, You Peng, Wenqing Lin, Sibo Wang, Wenjie Zhang, Minimum Strongly Connected Subgraph Collection in Dynamic Graphs, Proc. VLDB Endow. 2024.
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Jianwei Wang, Kai Wang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Efficient Unsupervised Community Search with Pre-trained Graph Transformer, Proc. VLDB Endow. 2024.
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Jinghao Wang, Yanping Wu, Xiaoyang Wang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, Efficient Influence Minimization via Node Blocking, Proc. VLDB Endow. 2024.
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Long Yuan, Xia Li, Zi Chen, Xuemin Lin, Xiang Zhao, Wenjie Zhang, I/O Efficient Label-Constrained Reachability Queries in Large Graphs, Proc. VLDB Endow. 2024.
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Qingshuai Feng, Junhua Zhang, Wenjie Zhang, Lu Qin, Ying Zhang, Xuemin Lin, Efficient kNN Search in Public Transportation Networks, Proc. VLDB Endow. 2024.
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Yiqi Wang, Long Yuan, Wenjie Zhang, Zi Chen, Xuemin Lin, Qing Liu, Simpler is More: Efficient Top-K Nearest Neighbors Search on Large Road Networks, Proc. VLDB Endow. 2024.
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Haozhe Yin, Kai Wang, Wenjie Zhang, Ying Zhang, Ruijia Wu, Xuemin Lin, Efficient Computation of Hyper-triangles on Hypergraphs, Proc. VLDB Endow. 2024.
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Deming Chu, Zhizhi Gao, Fan Zhang, Wenjie Zhang, Xuemin Lin, Zhihong Tian, Most Similar Biclique Search at Scale, Proc. VLDB Endow. 2024.
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Sihem Amer-Yahia, Divyakant Agrawal, Yael Amsterdamer, Sourav S. Bhowmick, Renata Borovica-Gajic, Jesús Camacho-Rodríguez, Jinli Cao, Barbara Catania, Panos K. Chrysanthis, Carlo Curino, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Stratos Idreos, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Fatma Özcan, Liat Peterfreund, Soror Sahri, Sana Sellami, Roee Shraga, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Genoveva Vargas-Solar, Meihui Zhang, Wenjie Zhang, Diversity, Equity and Inclusion Activities in Database Conferences: A 2023 Report, SIGMOD Rec. 2024.
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Angela Bonifati, M. Tamer Özsu, Yuanyuan Tian, Hannes Voigt, Wenyuan Yu, Wenjie Zhang, A Roadmap to Graph Analytics, SIGMOD Rec. 2024.
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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)
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Hongmei Chen, Hanchen Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions, TKDE 2023.
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Xiaoyang Wang, Renjie Sun, Yanping Wu, Chen Chen, Wenjie Zhang, Xuemin Lin, Efficient Balanced Signed Biclique Search in Signed Bipartite Graphs, TKDE 2023.
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Chen Chen, Hanchen Wang, Jianke Yang, Xiaoyang Wang, Wenjie Zhang, Xuemin Lin, Neural Similarity Search on Supergraph Containment, TKDE 2023.
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Chen Chen, Renjie Sun, Yanping Wu, Xiaoyang Wang, Wenjie Zhang, Xuemin Lin, Clique Identification in Signed Graphs: A Balance Theory based Model, TKDE 2023.
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Tiantian Xu, Yuanyuan Xu, Shiyu Yang, Binghao Li, Wenjie Zhang, Learning Accurate Label-Specific Features from Partially Multi-labeled Data, TNNLS 2023.
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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.
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Linhao Luo, Yixiang Fang, Xiaofeng Zhang, Xin Cao, Wenjie Zhang, GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs, TKDE 2023.
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Qingqiang Sun, Wenjie Zhang, Xuemin Lin, Progressive Hard Negative Masking: From Global Uniformity to Local Tolerance, TKDE 2023.
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Yishi Liu, Jianye Yang, Ziyi Ma, Chengyuan Zhang, Shiyu Yang, Wenjie Zhang, Efficient Maximal Biclique Enumeration on Large Uncertain Bipartite Graphs, TKDE 2023.
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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.
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Kai Wang, Gengda Zhao, Wenjie Zhang, Xuemin Lin, Ying Zhang, Yizhang He, Cohesive Subgraph Discovery over Uncertain Bipartite Graphs, TKDE 2023.
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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.
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Kai Wang, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang, Accelerated Butterfly Counting with Vertex Priority on Bipartite Graphs, The VLDB Journal 2023.
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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.
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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.
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Qingyuan Linghu, Fan Zhang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Anchored Coreness: Efficient Reinforcement of Social Networks, The VLDB Journal 2022.
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Arif Hidayat, Muhammad Aamir Cheema, Xuemin Lin, Wenjie Zhang, Ying Zhang, Continuous Monitoring of Moving Skyline and Top-k Queries, The VLDB Journal 2022.
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Dong Wen, Bohua Yang, Ying Zhang, Lu Qin, Dawei Cheng, Wenjie Zhang, Span-reachability Querying in Large Temporal Graphs, The VLDB Journal 2022.
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Lijun Chang, Xing Feng, Kai Yao, Lu Qin, Wenjie Zhang, Accelerating Graph Similarity Search via Efficient GED Computation, TKDE 2022.
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Zi Chen, Long Yuan, Xuemin Lin, Lu Qin, Wenjie Zhang, Balanced Clique Computation in Signed Networks: Concepts and Algorithms, TKDE 2022.
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Yiwei Zhao, Zi Chen, Chen Chen, Xiaoyang Wang, Xuemin Lin, Wenjie Zhang, Finding the Maximum k-Balanced Biclique on Weighted Bipartite Graphs, TKDE 2022.
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Chenji Huang, Yixiang Fang, Xuemin Lin, Xin Cao, Wenjie Zhang, ABLE: Meta-Path Prediction in Heterogeneous Information Networks, TKDD 2022.
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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.
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Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Kakshmanan, Wenjie Zhang, Xuemin Lin, On Directed Densest Subgraph Discovery, ACM TODS 2021.
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Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Kakshmanan, Wenjie Zhang, Xuemin Lin, Efficient Directed Densest Subgraph Discovery, SIGMOD Record 2021.
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Conggai Li, Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, Discovering fortress-like cohesive subgraphs, Knowledge and Information System 2021.
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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.
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Zengfeng Huang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA, JMLR 2021.
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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.
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You Peng, Xuemin Lin, Ying Zhang, Wenjie Zhang, Lu Qin, Jingren Zhou, Efficient Hop-constraint s-t Simple Path Enumeration, VLDBJ 2021.
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Kai Wang, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang, Towards Efficient Solutions of Bitruss Decomposition for Large-scale Bipartite Graphs, VLDBJ 2021.
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Muhammad Aamir Cheema, Xuemin Lin, Wenjie Zhang, Ying Zhang, Continuous Monitoring of Moving Skyline and Top-k Queries, VLDBJ 2021.
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Boge Liu, Long Yuan, Xuemin Lin, Lu Qin, Wenjie Zhang, Jingren Zhou, Efficient (\alpha,\beta)-core Computation in Bipartite Graphs, VLDBJ 2020.
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Hongmei Chen, Yixiang Fang, Ying Zhang, Wenjie Zhang, Liping Wang, ESPM: Efficient Spatial Pattern Matching, TKDE 2019.
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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)
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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.
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Weiren Yu, Xuemin Lin, Wenjie Zhang, Jian Pei, JA McCann, SimRank*: Effective and Scalable Pairwise Similarity Search based on Graph Topology, VLDB Journal 2019.
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Fan Zhang, Congai Li, Ying Zhang, Lu Qin, Wenjie Zhang, Finding Critical Users in Social Communities: the Collapsed Core and Truss Problems, TKDE 2019.
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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.
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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.
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Jianye Yang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Cost Optimization based on Influence and User Preference, KAIS 2018.
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Xing Feng, Lijun Chang, Xuemin Lin, Lu Qin, Wenjie Zhang, Long Yuan, Distributed Computing Connected Components with Linear Communication Cost, DAPD 2018.
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Weiwei Liu, Donna Xu, Ivor W. Tsang, Wenjie Zhang, Metric Learning for Multi-output Tasks, TPAMI 2018.
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Jianye Yang, Wenjie Zhang, Shiyu Yang, Ying Zhang, Xuemin Lin, Efficient Set Containment Join, VLDBJ 2018.
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Long Yuan, Lu Qin, Wenjie Zhang, Lijun Chang, Jianye Yang, Index-based Densest Clique Percolation Community Search In Networks, TKDE 2017.
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Weiren Yu, Xuemin Lin, Wenjie Zhang, J. McCann, Dynamical SimRank Assessment on Time-Varying Networks, VLDB Journal 2018.
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Xiang Zhao, Chuan Xiao, Xuemin Lin, Wenjie Zhang, Yan Wang, Efficient Structure Similarity Searches: A Partition-Based Approach, VLDB Journal 2018.
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Xiang Wang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Zengfeng Huang, Top-k spatial-keyword publish/subscribe over sliding window, VLDB Journal 2017.
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Long Yuan, Lu Qin, Xuemin Lin, Lijun Chang, Wenjie Zhang, I/O Efficient ECC Graph Decomposition via Graph Reduction, VLDB Journal 2017.
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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.
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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.
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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.
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Lijun Chang, Wei Li, Xuemin Lin, Lu Qin, Wenjie Zhang, pScan: Fast and Exact Structural Graph Clustering, TKDE.
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Shiyu Yang, Muhammad Aamir Cheema, Xuemin Lin, Ying Zhang, Wenjie Zhang, Reverse K Nearest Neighbor Queries and Spatial Reverse Top-k Queries, VLDBJ 2017.
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Jianye Yang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Categorical Top-k Spatial Influence Query, WWWJ 2017.
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Chengyuan Zhang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Inverted Linear Quadtree: Efficient Top K Spatial Keyword Search, TKDE 28(7): 1706-1721.
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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.
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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.
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Long Yuan, Lu Qin, Xuemin Lin, Lijun Chang, Wenjie Zhang, Diversified Top-k Clique Search, VLDB Journal 25(2): 171-196, 2016.
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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.
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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.
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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
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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
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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
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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
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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
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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
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Qianlu Lin, Ying Zhang, Wenjie Zhang, Xuemin Lin, Efficient General Spatial Skyline Computation, WWW Journal 16(3): 247-270, 2013. PDF
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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
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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
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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
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Wenjie Zhang, Xuemin Lin, Ying Zhang, Muhammad Aamir Cheema, Qing Zhang, Stochastic Skylines, ACM Transactions on Database Systems 37(2): 14, 2012. PDF
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Weiyuan Wang, Jianke Yu, Zhengyi Yang, Mingchen Ju, Shuyue Yu, Jinglin Wu, Lifan Liu, Yongfei Liu, John Shepherd, Wenjie Zhang, AEFA: An Ensemble Framework for Fraud Detection in the Forex Market, ADMA 2025.
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Xushuo Tang, Yi Ding, Zhengyi Yang, Yin Chen, Yongrui Gu, Wenke Yang, Mingchen Ju, Xin Cao, Yongfei Liu, Wenjie Zhang, Do They Understand Them? An Updated Evaluation on Nonbinary Pronoun Handling in Large Language Models, AI 2025.
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Zian Zhai, Qing Sima, Xiaoyang Wang, Wenjie Zhang, SGPT: Few-Shot Prompt Tuning for Signed Graphs, CIKM 2025.
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Le Pan, Yuanjiang Cao, Chengkai Huang, Wenjie Zhang, Lina Yao, Eliminating Sentiment Bias in Recommender Systems by Counterfactual Inference, CIKM 2025.
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Minglang Xie, Jianye Yang, Wenjie Zhang, Shiyu Yang, Xuemin Lin, Deep Skyline Community Search, EDBT 2025.
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Yu Liu, Qi Luo, Yanwei Zheng, Wenjie Zhang, Xuemin Lin, Dongxiao Yu, Effective and Efficient Community Search over Large-Scale Hypergraphs, EDBT 2025.
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Boge Liu, Chunling Wang, Xiaoshuang Chen, Yu Hao, Zhengyi Yang, Yi Jin, Yixing Yang, Wenke Yang, Wanchuan Zhang, Wenjie Zhang, PhoebeDB: A Disk-Based RDBMS Kernel for High-Performance and Cost-Effective OLTP, EDBT 2025.
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Yiheng Hu, Xiaoyang Wang, Qing Liu, Xiwei Xu, Qian Fu, Wenjie Zhang, Liming Zhu, MMAPG: A Training-Free Framework for Multimodal Multi-hop Question Answering via Adaptive Planning Graphs, EMNLP 2025.
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Xingyu Tan, Xiaoyang Wang, Qing Liu, Xiwei Xu, Xin Yuan, Liming Zhu, Wenjie Zhang, HydraRAG: Structured Cross-Source Enhanced Large Language Model Reasoning, EMNLP 2025.
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Hanchen Wang, Dawei Cheng, Ying Zhang, Wenjie Zhang, AIGC for Graphs: Current Techniques and Future Trends, ICDE 2025.
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Xiaofang Zhou, Qing Li, Angela Bonifati, Hans-Arno Jacobsen, Wenjie Zhang, A Message from the Chairs, ICDE 2025.
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Xiwei Xu, Dawen Zhang, Wenjie Zhang, Qinghua Lu, Liming Zhu, Design Process for Retrieval Augmented Generation Systems, ICSA 2025.
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Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Xiwei Xu, Xuemin Lin, Fast and Accurate Temporal Hypergraph Representation for Hyperedge Prediction, KDD 2025.
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Chengpei Xu, Wenhao Zhou, Long Ma, Weimin Wang, Feng Xia, Binghao Li, Wenjie Zhang, Bright to Dark: Stage-wise Bilevel Knowledge Transfer for Seeing Text in the Dark, ACM Multimedia 2025.
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Huangleshuai He, Zhengyi Yang, Dong Wen, Wenqian Zhang, Michael Yu, Wenke Yang, Wenjie Zhang, A Survey on Efficient Graph Reachability Queries, PAKDD 2025.
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Mingyuan Zhao, Jiafeng Gu, Wenjie Zhang, AC-TKG+: Actor-Critic with Multi-Level Loss for Effective Few-shot Inductive Learning on Temporal Knowledge Graphs, WWW 2025.
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Kaiyu Chen, Dong Wen, Hanchen Wang, Zhengyi Yang, Wenjie Zhang, Xuemin Lin, Covering K-Cliques in Billion-Scale Graphs, WWW 2025.
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Xingyu Tan, Xiaoyang Wang, Qing Liu, Xiwei Xu, Xin Yuan, Wenjie Zhang, Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning, WWW 2025.
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Yingxuan Li, Yuanyuan Xu, Xuemin Lin, Wenjie Zhang, Ying Zhang, Ranking on Dynamic Graphs: An Effective and Robust Band-Pass Disentangled Approach, WWW 2025.
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Yi Ding, Hualong Lin, Zhengyi Yang, Dong Wen, Xiaoyang Wang, Wenjie Zhang, An Experimental Comparison of RDF Systems on Cloud, ADC 2024.
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Zuocheng Ding, Yufan Chen, Hanchen Wang, Xiaoyang Wang, Wenjie Zhang, Ying Zhang, TIformer: A Transformer-Based Framework for Time-Series Forecasting with Missing Data, ADC 2024.
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Xiao Li, Yanping Wu, Xiaoyang Wang, Zhengyi Yang, Wenjie Zhang, Ying Zhang, Keyword-Based Betweenness Centrality Maximization in Attributed Graphs, ADC 2024.
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Xia Li, Zhengyi Yang, Kongzhang Hao, Xin Shu, Xin Cao, Wenjie Zhang, Distributed Hop-Constrained s-t Simple Path Enumeration in Labelled Graphs, ADC 2024.
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Yao Tang, Jinghao Wang, Chen Chen, Xiaoyang Wang, Wenjie Zhang, Ying Zhang, Mitigate the Damage of Rumor on Susceptible Group, ADC 2024.
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Yijing Gong, Min Wang, Yu Zhang, Wenjie Zhang, Shuchao Pang, A Unified Deep Learning-Based EEG Biometric Authentication System for Cross-Session Scenarios, ADMA 2024.
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Nimish Ukey, Guangjian Zhang, Zhengyi Yang, Xiaoyang Wang, Binghao Li, Serkan Saydam, Wenjie Zhang, A Cluster-Based Approach to kNN Join Over Batch-Dynamic High-Dimensional Data, ADMA 2024.
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Wensi Jiang, Yu Zhang, Huadong Mo, Min Wang, Wenjie Zhang, Learning and Mapping Academic Topic Evolution Evolving - Topics in the Australian National Disability Insurance Scheme, ADMA 2024.
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Qi Luo, Wenjie Zhang, Zhengyi Yang, Dong Wen, Xiaoyang Wang, Dongxiao Yu, Xuemin Lin, Hierarchical Structure Construction on Hypergraphs, CIKM 2024.
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Kaiyu Chen, Dong Wen, Wentao Li, Zhengyi Yang, Wenjie Zhang, On Compressing Historical Cliques in Temporal Graphs, DASFAA 2024.
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Yuting Zhang, Kai Wang, Wenjie Zhang, Wei Ni, Xuemin Lin, Size-bounded Community Search over Large Bipartite Graphs, EDBT 2024.
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Hanchen Wang, Kai Wang, Wenjie Zhang, Ying Zhang, Bipartite Graph Analytics: Current Techniques and Future Trends, ICDE 2024.
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Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Wei Ni, Ying Zhang, Butterfly Counting over Bipartite Graphs with Local Differential Privacy, ICDE 2024.
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Shunyang Li, Kai Wang, Xuemin Lin, Wenjie Zhang, Yizhang He, Long Yuan, Querying Historical Cohesive Subgraphs over Temporal Bipartite Graphs, ICDE 2024.
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Long Yuan, Kongzhang Hao, Xuemin Lin, Wenjie Zhang, Batch Hop-Constrained s-t Simple Path Query Processing in Large Graphs, ICDE 2024.
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Yanping Wu, Renjie Sun, Xiaoyang Wang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, Efficient Maximal Temporal Plex Enumeration, ICDE 2024.
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Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Maria Orlowska, Xuemin Lin, TimeSGN: Scalable and Effective Temporal Graph Neural Network, ICDE 2024.
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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.
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Yiwei Zhao, Zi Chen, Chen Chen, Xiaoyang Wang, Xuemin Lin, Wenjie Zhang, Finding the Maximum k- Balanced Biclique on Weighted Bipartite Graphs, ICDE 2024.
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Hanchen Wang, Jianke Yu, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Xuemin Lin, Neural Similarity Search on Supergraph Containment, ICDE 2024.
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Wei Huang, Hanchen Wang, Dong Wen, Xuefeng Chen, Wenjie Zhang, Ying Zhang, GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs, ICDM 2024.
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Tong Xie, Hanzhi Zhang, Shaozhou Wang, Yuwei Wan, Imran Razzak, Chunyu Kit, Wenjie Zhang, Bram Hoex, ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity, ICDM 2024.
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Yu Zhang, Hang Thanh Bui, Michael Zipperle, Fiona Buick, Satish Chand, Omar Khadeer Hussain, Min Wang, Huadong Mo, Wenjie Zhang, Perception Gaps Between Hashtag Stakeholders on X (Twitter) - Application on the Australian National Disability Insurance Scheme (#NDIS), ICEBE 2024.
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Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, Xuemin Lin, Hypergraph Self-supervised Learning with Sampling-efficient Signals, IJCAI 2024.
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Chengpei Xu, Hao Fu, Long Ma, Wenjing Jia, Chengqi Zhang, Feng Xia, Xiaoyu Ai, Binghao Li, Wenjie Zhang, Seeing Text in the Dark: Algorithm and Benchmark, ACM Multimedia 2024.
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Yanpeng Ye, Jie Ren, Shaozhou Wang, Yuwei Wan, Imran Razzak, Bram Hoex, Haofen Wang, Tong Xie, Wenjie Zhang, Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model, NeurIPS 2024.
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Angela Bonifati, M. Tamer Özsu, Yuanyuan Tian, Hannes Voigt, Wenyuan Yu, Wenjie Zhang, The Future of Graph Analytics, SIGMOD 2024.
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Xuan Luo, Jian Pei, Cheng Xu, Wenjie Zhang, Jianliang Xu, Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games, SIGMOD 2024.
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Deming Chu, Fan Zhang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Graph Summarization: Compactness Meets Efficiency, SIGMOD 2024.
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Jianwei Wang, Ying Zhang, Kai Wang, Xuemin Lin, Wenjie Zhang, Missing Data Imputation with Uncertainty-Driven Network, SIGMOD 2024.
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Jingyi Song, Dong Wen, Lantian Xu, Lu Qin, Wenjie Zhang, Xuemin Lin, On Querying Historical Connectivity in Temporal Graphs, SIGMOD 2024.
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Jianwei Wang, Kai Wang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Neural Attributed Community Search at Billion Scale, SIGMOD 2024.
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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.
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Xueyi Wu, Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach, VLDB 2024.
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Jianwei Wang, Kai Wang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Efficient Unsupervised Community Search with Pre-trained Graph Transformer, VLDB 2024.
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Kaiyu Chen, Dong Wen, Wenjie Zhang, Ying Zhang, Xiaoyang Wang, Xuemin Lin, Querying Structural Diversity in Streaming Graphs, VLDB 2024.
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Xin Chen, Jieming Shi, You Peng, Wenqing Lin, Sibo Wang, Wenjie Zhang, Minimum Strongly Connected Subgraph Collection in Dynamic Graphs, VLDB 2024.
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Yuhan Wu, Yuanyuan Xu, Wenjie Zhang, Xiwei Xu, Ying Zhang, Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs, TheWebConf 2024.
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Xuan Luo, Jian Pei, Cheng Xu, Wenjie Zhang, Jianliang Xu, Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games, SIGMOD 2024.
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Angela Boniafti, M. Tamer Ozsu, Yuanyuan Tian, Hannes Voigt, Wenyuan Yu, Wenjie Zhang, The Future of Graph Analytics, SIGMOD 2024.
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Deming Chu, Fan Zhang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Graph Summarization: Compactness Meets Efficiency, SIGMOD 2024.
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Jianwei Wang, Ying Zhang, Kai Wang, Xuemin Lin, Wenjie Zhang, Missing Data Imputation with Uncertainty-Driven Network, SIGMOD 2024.
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Jingyi Song, Dong Wen, Lantian Xu, Lu Qin, Wenjie Zhang, Xuemin Lin, On Querying Historical Connectivity in Temporal Graphs, SIGMOD 2024.
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Jianwei Wang, Kai Wang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Neural Attributed Community Search at Billion Scale, SIGMOD 2024.
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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.
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Xueyi Wu, Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach, VLDB 2024.
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Jianwei Wang, Kai Wang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Efficient Unsupervised Community Search with Pre-trained Graph Transformer, VLDB 2024.
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Kaiyu Chen, Dong Wen, Wenjie Zhang, Ying Zhang, Xiaoyang Wang, Xuemin Lin, Querying Structural Diversity in Streaming Graphs, VLDB 2024.
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Xin Chen, Jieming Shi, You Peng, Wenqing Lin, Sibo Wang, Wenjie Zhang, Minimum Strongly Connected Subgraph Collection in Dynamic Graphs, VLDB 2024.
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Shunyang Li, Kai Wang, Xuemin Lin, Wenjie Zhang, Yizhang He, Long Yuan, Querying Historical Cohesive Subgraphs over Temporal Bipartite Graphs, ICDE 2024.
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Kongzhang Hao, Long Yuan, Wenjie Zhang, Xuemin Lin, Batch Hop-Constrained s-t Simple Path Query Processing in Large Graphs, ICDE 2024.
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Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Wei Ni, Ying Zhang, Butterfly Counting over Bipartite Graphs with Local Differential Privacy, ICDE 2024.
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Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Maria Orlowska, Xuemin Lin, TimeSGN: Scalable and Effective Temporal Graph Neural Network, ICDE 2024.
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Yanping Wu, Renjie Sun, Xiaoyang Wang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, Efficient Maximal Temporal Plex Enumeration, ICDE 2024.
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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.
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Hanchen Wang, Jianke Yu, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Xuemin Lin, Neural Similarity Search on Supergraph Containment, ICDE 2024.
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Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, Xuemin Lin, Hypergraph Self-supervised Learning with Sampling-efficient Signals, IJCAI 2024.
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Qingshuai Feng, You Peng, Wenjie Zhang, Xuemin Lin, Ying Zhang, DSPC: Efficiently Answering Shortest Path Counting on Dynamic Graphs, EDBT 2024.
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Yuting Zhang, Kai Wang, Wenjie Zhang, Wei Ni, Xuemin Lin, Size-bounded Community Search over Large Bipartite Graphs, EDBT 2024.
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Yuanyuan Xu, Wenjie Zhang, Xiwei Xu, Ying Zhang, Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs, TheWebConf 2024.
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Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Scaling Up k-Clique Densest Subgraph Detection, SIGMOD 2023.
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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
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Jiabao Jin, Peng Cheng, Lei Chen, Xuemin Lin, Wenjie Zhang, Efficient Non-Learning Similar Subtrajectory Search, VLDB 2023.
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Fan Zhang, Qingyuan Linghu, Kai Wang, Jiadong Xie, Xuemin Lin, Wenjie Zhang, Quantifying Node Importance over Network Structural Stability, KDD 2023.
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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. slides
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Zhengyi Yang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Shunyang Li, HGMatch: A Match-by-Hyperedge Framework for Subhypergraph Matching on Hypergraphs, ICDE 2023. slides
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Xubo Wang, Dong Wen, Wenjie Zhang, Ying Zhang, Lu Qin, Distributed Near-Maximum Independent Set Maintenance over Large-scale Dynamic Graphs, ICDE 2023.
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Yiqi Wang, Long Yuan, Zi Chen, Wenjie Zhang, Xuemin Lin, Qing Liu, Towards Efficient Shortest Path Counting on Billion-Scale Graphs, ICDE 2023.
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Leilei Du, Peng Cheng, Libin Zheng, Wei Xi, Xuemin Lin, Wenjie Zhang, Jing Fang, Dynamic Private Task Assignment under Differential Privacy, ICDE 2023.
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Yuhan Wu, Yuanyuan Xu, Xuemin Lin, Wenjie Zhang, A Holistic Approach for Answering Logical Queries on Knowledge Graphs, ICDE 2023.
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Renjie Sun, Chen Chen, Xiaoyang Wang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Efficient Maximum Signed Biclique Identification, ICDE 2023.
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You Peng, Zhuo Ma, Wenjie Zhang, Xuemin Lin, Ying Zhang, Xiaoshuang Chen, Efficiently Answering Quality Constrained Shortest Distance Queries in Large Graphs, ICDE 2023.
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Jiadong Xie, Fan Zhang, Kai Wang, Xuemin Lin, Wenjie Zhang, Minimizing the Influence of Misinformation via Vertex Blocking, ICDE 2023.
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Qingqiang Sun, Xuemin Lin, Ying Zhang, Wenjie Zhang, Chaoqi Chen, Towards Higher-order Topological Consistency for Unsupervised Network Alignment, ICDE 2023.
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You Peng, Xuemin Lin, Michael Yu, Wenjie Zhang, Lu Qin, TDB: Breaking All Hop-Constrained Cycles in Billion-Scale Directed Graphs, ICDE 2023.
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Hanchen Wang, Rong Hu, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang, Neural Subgraph Counting with Wasserstein Estimator, SIGMOD 2022. slides
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Kongzhang Hao, Long Yuan, Wenjie Zhang, Distributed Hop-Constrained s-t Simple Path Enumeration at Billion Scale, VLDB 2022. paper
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Jianye Yang, Yun Peng, Wenjie Zhang, (p,q)-biclique Counting and Enumerating for Large Sparse Bipartite Graphs, VLDB 2022. paper
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Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang and Shunyang Li, Discovering Hierarchy of Bipartite Graphs with Cohesive Subgraphs, ICDE 2022. slides
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Gengda Zhao, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang and Yizhang He, Efficient Computation of Cohesive Subgraphs in Uncertain Bipartite Graphs, ICDE 2022. slides
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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
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Renjie Sun, Yanping Wu, Chen Chen, Xiaoyang Wang, Wenjie Zhang, Xuemin Lin, Maximal Balanced Signed Biclique Enumeration in Signed Bipartite Graphs, ICDE 2022.
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Yishu Wang, Ye Yuan, Wenjie Zhang, Yi Zhang, Xuemin Lin, Guoren Wang, Reachability-driven Influence Maximization in Time-dependent Road-social Networks, ICDE 2022.
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Deming Chu, Fan Zhang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Hierarchical Core Decomposition in Parallel: From Construction to Subgraph Search, ICDE 2022. slides
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Hanchen Wang, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang, Xuemin Lin, Reinforcement Learning-based Query Vertex Ordering Model for Subgraph Matching, ICDE 2022.
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Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Efficient Reinforcement of Bipartite Networks at Billion Scale, ICDE 2022. slides
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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
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Yuanhang Yu, Dong Wen, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, GPU-accelerated Proximity Graph Approximate Nearest Neighbor Search and Construction, ICDE 2022.
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Kai Wang, Wenjie Zhang, Xuemin Lin, Lu Qin, Alexander Zhou, Efficient Personalized Maximum Biclique Search, ICDE 2022. slides
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Chenji Huang, Yixiang Fang, Xuemin Lin, Xin Cao, Wenjie Zhang, Maria Orlowska, Estimating Node Importance Values in Heterogeneous Information Networks, ICDE 2022.
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Jiabao Jin, Peng Cheng, Lei Chen, Xuemin Lin, Wenjie Zhang, GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models, ICDE 2022.
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Zhengyi Yang, Longbin Lai, Xuemin Lin, Kong Zhang Hao, Wenjie Zhang, HUGE: An Efficient and Scalable Subgraph Enumeration System, SIGMOD 2021. slides
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Yixiang Fang, Kai Wang, Xuemin Lin, Wenjie Zhang, Cohesive Subgraph Search over Big Heterogeneous Information Networks: Applications, Challenges, and Solutions, SIGMOD 2021.
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Zhe Lin, Fan Zhang, Xuemin Lin, Wenjie Zhang, Zhihong Tian, Hierarchical Core Maintenance on Large Dynamic Graphs, VLDB 2021.
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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
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Michael Yu, Dong Wen, Lu Qin, Ying Zhang, Wenjie Zhang, Xuemin Lin, On Querying Historical K-Cores, VLDB 2021. slides
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Yixing Yang, Yixiang Fang, Maria E. Orlowska, Wenjie Zhang, Xuemin Lin, Efficient Bi-triangle Counting for Large Bipartite Networks, VLDB 2021.
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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
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Boge Liu, Fan Zhang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Efficient Community Search with Size Constraint, ICDE 2021. slides
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Zhengmin Lai, You Peng, Shiyu Yang, Xuemin Lin, Wenjie Zhang, PEEP: Efficient k-hop Constraint s-t Simple Path Enumeration on FPGA, ICDE 2021.
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Michael Yu, Lu Qin, Ying Zhang, Wenjie Zhang, Xuemin Lin, DPTL+: Efficient Parallel Triangle Listing on Batch-Dynamic Graphs, ICDE 2021. slides
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Yuanhang Yu, Dong Wen, Ying Zhang, Xiaoyang Wang, Wenjie Zhang, Xuemin Lin, Efficient Matrix Factorization on Heterogeneous CPU-GPU Systems, ICDE 2021.
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Peilun Yang, Hanchen Wang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, T3S: Effective Representation Learning for Trajectory Similarity Computation, ICDE 2021.
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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.
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Jianhua Wang, Jianye Yang, Wenjie Zhang, Top-k Tree Similarity Join, CIKM 2021.
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Yuting Zhang, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Pareto-optimal Community Search on Large Bipartite Graphs, CIKM 2021.
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Kai Wang, Yiheng Hu, Xuemin Lin, Wenjie Zhang, Lu Qin, Ying Zhang, A Cohesive Subgraph Based Bipartite Graph Analytics System, CIKM 2021.
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You Peng, Wenjie Zhao, Wenjie Zhang, Xuemin Lin, Ying Zhang, DLQ: A System for Label-Constrained Reachability Queries on Dynamic Graphs, CIKM 2021.
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Shunyang Li, Zhengyi Yang, Xianhang Zhang, Wenjie Zhang, Xuemin Lin, SQL2Cypher: Automated Data and Query Migration from DBMS to GDMS, WISE 2021.
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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
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Qingyuan Linghu, Fan Zhang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Global Reinforcement of Social Networks: The Anchored Coreness Problem, SIGMOD 2020. slides
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Yixiang Fang, Yixing Yang, Wenjie Zhang, Xuemin Lin, Xin Cao, Effective and Efficient Community Search over Large Heterogeneous Information Networks, VLDB 2020. slides
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You Peng, Ying Zhang, Lu Qin, Xuemin Lin, Wenjie Zhang, Answering Billion-scale Label-constraint Reachability Queries within Microsecond, VLDB 2020. slides
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Jianye Yang, Wenjie Zhang, Xiang Wang, Ying Zhang, Xuemin Lin, Distributed Streaming Set Similarity Join, ICDE 2020.
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Dong Wen, Yilun Huang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, Efficiently Answering Span-Reachability Queries in Large Temporal Graphs, ICDE 2020.
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Kai Wang, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang, Efficient Bitruss Decomposition for Large-scale Bipartite Graphs, ICDE 2020. slides
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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.
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Yixing Yang, Yixiang Fang, Xuemin Lin, Wenjie Zhang, Effective and Efficient Truss Computation Over Large Heterogeneous Information Networks, ICDE 2020. slides
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Lijun Chang, Xing Feng, Xuemin Lin, Lu Qin, Wenjie Zhang, Dian Ouyang, Speeding Up GED Verification for Graph Similarity Search, ICDE 2020.
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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.
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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.
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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
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Ran Wang, Zhengyi Yang, Wenjie Zhang, Xuemin Lin, An Empirical Study on Recent Graph Database Systems, KSEM 2020. Best Student Paper Award
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Boge Liu, Fan Zhang, Chen Zhang, Wenjie Zhang, Xuemin Lin, CoreCube: Core Decomposition in Multilayer Graphs, WISE 2019.
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Chen Zhang, Wenjie Zhang, Ying Zhang, Lu Qin, Fan Zhang, Xuemin Lin, Selecting the Optimal Groups: Efficiently Computing Skyline k-Cliques, CIKM 2019.
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Zhongxin Zhou, Fan Zhang, Xuemin Lin, Wenjie Zhang, Chen Chen, k-Core Maximization: An Edge Addition Approach, IJCAI 2019.
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Kai Wang, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang, Vertex Priority Based Butterfly Counting for Large-scale Bipartite Networks, VLDB 2019. slides
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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.
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Boge Liu, Long Yuan, Lu Qin, Xuemin Lin, Wenjie Zhang, Jingren Zhou, Efficient <\alpha, \beta>-Core Computation: an Index-based Approach, WWW 2019. slides
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Xuefeng Chen, Xin Cao, Zhiqiang Xu, Shuo Shang, Ying Zhang, Wenjie Zhang, Exact and Approximate Approaches to Maximizing Bichromatic Reverse k Nearest Neighbor, ICDE 2019.
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Chen Zhang, Ying Zhang, Wenjie Zhang, Lu Qin, Jianye Yang, Efficient Maximal Spatial Clique Enumeration, ICDE 2019.
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Yang Yang, Ying Zhang, Wenjie Zhang, Zengfeng Huang, GB-KMV: An Augmented KMV Sketch for Approximate Containment Similarity Search, ICDE 2019.
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Xudong Wu, Long Yuan, Xuemin Lin, Shiyu Yang, Wenjie Zhang, Towards Efficient k-TriPeak Decomposition on Large Graphs, DASFAA 2019.
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Yang Yang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Liping Wang, Selectivity Estimation on Set Containment Search, DASFAA 2019. One of the Best Papers
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Junjie Zhang, Liping Wang, Wenjie Zhang, Junjie Yao, A Signal Quality Assessment Method for Electrocardiography Acquired by Mobile Device, BIBM 2018.
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Fei Bi, Lijun Chang, Xuemin Lin, Wenjie Zhang, An Optimal and Progressive Approach to Online Search of Top-k Influential Communities, VLDB 2018.
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Kai Wang, Xin Cao, Xuemin Lin, Wenjie Zhang, Lu Qin, Efficient Computing of Radius-Bounded k-Cores, ICDE 2018. slides
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You Peng, Ying Zhang, Wenjie Zhang, Xuemin Lin, Lu Qin, Efficient Probabilistic K-Core Computation on Uncertain Graphs, ICDE 2018. slides
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Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, Efficient Reinforcing Social Networks over User Engagement and Tie Strength, ICDE 2018. slides
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Weiwei Liu, Zhuanghua Liu, Ivor W. Tsang, Wenjie Zhang, Xuemin Lin, Doubly Approximate Nearest Neighbor Approximation, AAAI 2018.
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Jing Wang, Feng Tian, Weiwei Liu, Xiao Wang, Wenjie Zhang, Kenji Yamanishi, Ranking Preserving Nonnegative Matrix Factorization, IJCAI 2018.
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Long Yuan, Lu Qin, Xuemin Lin, Lijun Chang, Wenjie Zhang, Effective and Efficient Dynamic Graph Coloring, VLDB 2017.
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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
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Yuheng Wang, Xiang Zhao, Yifan Chen, Wenjie Zhang, Local Top-N Recommendation via Refined Item-User Bi-Clustering, WISE 2017.
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Zengfeng Huang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Efficient Matrix Sketching over Distributed Data, PODS 2017.
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Fan Zhang, Wenjie Zhang, Ying Zhang, Lu Qin, Xuemin Lin, OLAK: An Efficient Algorithm to Prevent Unravelling in Social Networks, VLDB 2017. slides
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Jianye Yang, Wenjie Zhang, Ying Zhang, Xuemin Lin, TT-Join: Efficient Set Containment Join, ICDE 2017. Slides
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Haida Zhang, Zengfeng Huang, Zhewei Wei, Wenjie Zhang, Xuemin Lin, Tracking Matrix Approximations over Distributed Sliding Windows, ICDE 2017.
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Lijun Chang, Wei Li, Wenjie Zhang, Computing A Near-Maximum Independent Set in Linear Time by Reducing-Peeling, SIGMOD 2017. Slides
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Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, Finding Critical Users for Social Network Engagement: The Collapsed k-Core Problem, AAAI 2017.
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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.
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Fei Bi, Lijun Chang, Xuemin Lin, Lu Qin, Wenjie Zhang, Efficient Subgraph Matching by Postponing Cartesian Products, SIGMOD 2016. Slides
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Xiaoyang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Distance-Aware Influence Maximization in Geo-social Network, ICDE 2016. Slides
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Jianye Yang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Influence based cost optimization on user preference, ICDE 2016. Slides
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Lijun Chang, Wei Li, Xuemin Lin, Lu Qin, Wenjie Zhang, pSCAN: Fast and Exact Structural Graph Clustering, ICDE 2016. Slides
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Xing Feng, Lijun Chang, Xuemin Lin, Lu Qin, Wenjie Zhang, Computing Connected Components with Linear Communication Cost in Pregel-like Systems, ICDE 2016. Slides
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Wenjie Zhang, Xuemin Lin, Ying Zhang, Ke Zhu, Gaoping Zhu, Efficient Probabilistic Supergraph Search, ICDE 2016.
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Xiang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Zengfeng Huang, SKYPE: Top-k Spatial-keyword Publish/Subscribe Over Sliding Window, VLDB 2016. Slides
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Long Yuan, Lu Qin, Xuemin Lin, Lijun Chang, Wenjie Zhang, I/O Efficient ECC Graph Decomposition via Graph Reduction, VLDB 2016.
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Liming Zhan, Ying Zhang, Wenjie Zhang, Xiaoyang Wang, Xuemin Lin, Range Search on Uncertain Trajectories, CIKM 2015. Slides
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Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang, Effective Multi-Query Expansions: Robust Landmark Retrieval, MM 2015.
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Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang, Qing Zhang, LBMCH: Learning Bridging Mappings for Cross-modal Hashing, SIGIR 2015.
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Xiaoyang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Muhammad Aamir Cheema, Optimal Spatial Dominance: An effective search of Nearest Neighbor Candidates, SIGMOD 2015. Slides
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Lijun Chang, Xuemin Lin, Lu Qin, Jeffrey Xu Yu, Wenjie Zhang, Index-based Optimal Algorithms for Computing Steiner Components with Maximum Connectivity, SIGMOD 2015.
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Lijun Chang, Xuemin Lin, Wenjie Zhang, Jeffrey Xu Yu, Ying Zhang, Lu Qin, Optimal Enumeration: Efficient Top-k Tree Matching, VLDB 2015.
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Xiang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Wei Wang, AP-Tree: Efficiently Support Continuous Spatial Keyword Queries over Streams, ICDE 2015. Slides
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Long Yuan, Lu Qin, Xuemin Lin, Lijun Chang, Wenjie Zhang, Diversified Top-k Clique Search, ICDE 2015. Slides
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Xiaoyang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Wei Wang, Selectivity Estimation On Streaming SpatioTextual Data Using Local Correlations, VLDB 2015. Slides
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Fei Bi, Lijun Chang, Wenjie Zhang, Xuemin Lin, Efficient String Similarity Search, DASFAA 2015. Slides
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Yuxing Han, Liping Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Spatial Keyword Range Search on Trajectories, DASFAA 2015. Slides
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Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang, Qing Zhang, Exploiting Correlation Consensus: Towards Subspace Clustering for Multi-modal data, MM 2014.
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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.
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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.
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Xiaoyang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Efficiently Identify Local Frequent Keyword Co-occurrence Patterns in Geo-tagged Twitter Stream, SIGIR 2014.
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Xiang Zhao, Chuan Xiao, Wenjie Zhang, Xuemin Lin, Improving Performance of Graph Similarity Joins Using Selected Substructures, DASFAA 2014.
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Liming Zhan, Ying Zhang, Wenjie Zhang, Xuemin Lin, Identifying Top k Dominating Objects over Uncertain Data, DASFAA 2014.
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Chengyuan Zhang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Muhammad Aamir Cheema, Xiaoyang Wang, Diversified Spatial Keyword Search On Road Networks, EDBT 2014.
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Muhammad Aamir Cheema, Zhitao Shen, Xuemin Lin, Wenjie Zhang, A Unified Framework for Efficiently Processing Ranking Related Queries, EDBT 2014. Slides
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Weiren Yu, Xuemin Lin, Wenjie Zhang, Fast Incremental SimRank on Link-Evolving Graphs, ICDE 2014. Slides
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Xiang Zhao, Chuan Xiao, Xuemin Lin, Qing Liu, Wenjie Zhang, A Partition-based Approach to Structure Similarity Search, VLDB 2014.
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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
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Muhammad Aamir Cheema, Xuemin Lin, Wenjie Zhang, Ying Zhang, A Safe Zone Based Approach for Monitoring Moving Skyline Queries, EDBT 2013. Slides
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Weiren Yu, Xuemin Lin, Wenjie Zhang, Towards Efficient SimRank Computation on Large Graphs, ICDE 2013. One of the Best Papers Slides
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Chengyuan Zhang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Inverted Linear Quadtree : Efficient Top K Spatial Keyword Search, ICDE 2013. Slides
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Xiang Zhao, Haichuan Shang, Wenjie Zhang, Xuemin Lin, Weidong Xiao, On Efficient Graph Substructure Selection, DASFAA 2013. Slides
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Qianlu Lin, Ying Zhang, Wenjie Zhang, Xuemin Lin, AVR-Tree: Speeding up the Nearest Neighbor Join based Queries, DASFAA 2013.
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Wenjie Zhang, Aiping Li, Muhammad Aamir Cheema, Ying Zhang, Lijun Chang, Probabilistic n-of-N Skyline Computation over Uncertain Data Streams, WISE 2013. Best Paper Award Slides
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Liming Zhan, Ying Zhang, Wenjie Zhang, Xuemin Lin, Finding Topk Most Influential Spatial Facilities over Uncertain Objects, CIKM 2012. PDF Slides
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Weiren Yu, Jiajin Le, Xuemin Lin, Wenjie Zhang, On the Efficiency of Estimating Penetrating Rank on Large Graphs, SSDBM 2012. PDF Slides
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Weiren Yu, Xuemin Lin, Wenjie Zhang, Ying Zhang, Jiajin Le, SimFusion+: Extending SimiFusion Towards Efficient Estimation on Large Dynamic Networks, SIGIR 2012. PDF Slides
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Gaoping Zhu, Xuemin Lin, Ke Zhu, Wenjie Zhang, Jeffrey X. Yu, TreeSpan: Efficiently Computing Similarity All-Matching, SIGMOD 2012. PDF Slides
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Ying Zhang, Wenjie Zhang, Qianlu Lin, Xuemin Lin, Effectively Indexing the Multi-Dimensional Uncertain Objects for Range Searching, EDBT 2012. PDF
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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
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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
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Qianlu Lin, Ying Zhang, Wenjie Zhang, General Spatial Skyline Operator, DASFAA 2012. PDF
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Gaoping Zhu, Ke Zhu, Wenjie Zhang, Xuemin Lin, Chuan Xiao, Efficient Subgraph Similarity All-Matching, DASFAA 2012. Best Student Paper Award PDF Slides
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Ke Zhu, Wenjie Zhang, Gaoping Zhu, Ying Zhang, Xuemin Lin, BMC: An Efficient Method to Evaluate Probabilistic Reachability Queries, DASFAA 2011. PDF
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Mahady Hansan, Muhammad Aamir Cheema, Xuemin Lin, Wenjie Zhang, A Unified Algorithm for Continuous Monitoring of Spatial Queries, DASFAA 2011. PDF Slides
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Xuemin Lin, Ying Zhang, Wenjie Zhang, Muhammad Aamir Cheema, Stochastic Skyline Operator, ICDE 2011. PDF Slides
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Muhammad Aamir Cheema, Xuemin Lin, Wenjie Zhang, Ying Zhang, Influence Zone: Efficiently Processing Reverse k Nearest Neighbors Queries, ICDE 2011. PDF Slides
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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
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Gaoping Zhu, Xuemin Lin, Wenjie Zhang, Wei Wang, Haichuan Shang, PrefIndex: An Efficient Supergraph Containment Search Technique, SSDBM 2010.
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Wenjie Zhang, Ying Zhang, Muhammad Aamir Cheema, Xuemin Lin, Counting Distinct Objects over Sliding Windows, ADC 2010. Best Paper Award PDF Slides
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Wenjie Zhang, Xuemin Lin, Muhammad Aamir Cheema, Ying Zhang, Wei Wang, Quantile-Based KNN Over Multi-Valued Objects, ICDE 2010. PDF Slides
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Ying Zhang, Xuemin Lin, Gaoping Zhu, Wenjie Zhang, Qianlu Lin, Efficient Rank Based KNN Processing over Uncertain Data, ICDE 2010. PDF
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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
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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
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Shuxiang Yang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Probabilistic Threshold Range Aggregate Query Processing over Uncertain Data, APWebWAIM 2009. Best Paper Award PDF Slides
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Wenjie Zhang, Xuemin Lin, Ying Zhang, Wei Wang, Jeffrey Xu Yu, Probabilistic Skyline Operator over Sliding Windows, ICDE 2009. PDF Slides
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Ying Zhang, Xuemin Lin, Yufei Tao, Wenjie Zhang, Uncertain Location based Range Aggregates in a Multi-Dimensional Space, ICDE 2009. PDF
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Wenjie Zhang, Xuemin Lin, Jian Pei, Ying Zhang, Managing Uncertain Data: Probabilistic Approaches, WAIM 2008. (invited paper) PDF
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Ming Hua, Jian Pei, Wenjie Zhang, Xuemin Lin, Ranking Queries on Uncertain Data: A Probabilistic Threshold Approach, SIGMOD 2008. PDF
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Ming Hua, Jian Pei, Wenjie Zhang, Xuemin Lin, Efficiently Answering Probabilistic Threshold Top-k Queries on Uncertain Data, ICDE 2008. PDF