Major Publications

Yuanyuan Xu, Yin Chen, Yingxuan Li, Wenjie Zhang, Xuemin LIN, Ying Zhang, A New Perspective on Target-Conditioned Structural Dynamics for Link Prediction in Dynamic Graphs. NeurIPS 2027. (CCFA). Q. Guo, J. Yang, W. Zhang, H. Wang, Y. Zhang, X. LIN, Algebraic Subgraph Counting, to appear in Proc. ACM Manag. Data (SIGMOD2027), 2027 (CCFA). K. Chen, D. Wen, W. Li, W. Zhang, X. LIN, Maintaining Ego-Betweenness Centrality at Billion Scale, to appear in ICDE 2027, (CCFA) M. Chen, K. Wang, J. Wang, T. Li, R. Wu, X. LIN, Graph Feature Imputation with Joint Latent-Space Alignment and Data-Space Denoising, to appear in ICDE 2027 (CCFA). Y. Yu, D. Chen, Y. Zhang, L. Qin, W. Zhang, X. LIN, Efficient Approximate Nearest Neighbor Search under Multi-Attribute Range Filter, to appear in ICDE 2027 (CCFA). Long Yuan, Congyi Wang, Zi Chen, Wenjie Zhang, Xuemin LIN, Effective and Efficient DomiRank in Large Graphs. IEEE Trans. Knowl. Data Eng., 2026. (CCFA). Lingkai Meng, Long Yuan, XUEMIN LIN, Chengjie Li, Kai Wang, Wenjie Zhang, Counting Butterflies Over Streaming Bipartite Graphs With Duplicate Edges. IEEE Trans. Knowl. Data Eng. 38(7): 4200 - 4212, 2026. (CCFA). Z. Ma, X. Ma, J. Yang, L. Yang, l. Yin, X. LIN, Efficient Multi-Query Optimization Optimization for Continuous Subgraph Matching over Streaming Graphs, IEEE Trans Knowl. Data Eng. (CCFA). 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. 38(1): 261-275, 2026. (CCFA). 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. 38(2): 1334-1348, 2026. (CCFA). Jingye Zhao, Jianan Shen, Jianwei Wang, Tianyuan Zhou, Ruijia Wu, Kai Wang, Xuemin LIN, Account Risk Detection in Large-Scale Financial Graphs With Auxiliary Asset Prediction. IEEE Trans. Knowl. Data Eng. 38(3): 1472-1483, 2026. (CCFA). Zi Chen, Haotian Huang, Long Yuan, Jianqiu Xu, Bolong Zheng, Xuemin LIN, Biclique Percolation Communities Computation on Temporal Bipartite Graphs. IEEE Trans. Knowl. Data Eng. 38(6): 3401-3415, 2026. (CCFA). Fan Li, Xiaoyang Wang, Dawei Cheng, Ying Zhang, Wenjie Zhang, Xuemin LIN, Fairness-Aware Hypergraph Self-Supervised Learning With Sampling-Efficient Signals. IEEE Trans. Knowl. Data Eng. 38(6): 3611-3625, 2026. (CCFA). Xuliang Zhu, Xin Huang, Kai Wang, Jianliang Xu, Xuemin LIN, From Global to Query-Dependent: Summarization of Large Hierarchical DAGs. ACM Trans. Database Syst. 51(1): 6:1-6:31, 2026. (CCFA). Lantian Xu, Dong Wen, Lu Qin, Wenjie Zhang, Xubo Wang, Xuemin LIN, On Querying Historical Connectivity in Large-scale Temporal Graphs. VLDB J. 35(1): 2, 2026. (CCFA). 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. 20(8): 2008342, 2026. (CCFB). Y. He, W. Zhang, K. Wang, X. LIN, Y. Zhang, W. Ni, Efficient and Effective Biclique Counting with Local Differential Privacy, in SIGMOD2026, 2026 (CCFA) L. Meng, L. Yuan, X. LIN, W. Zhang, Y. Zhang, Triangle Counting in Hypergraph Streams: A Complete and Practical Approach, in SIGMOD2026, 2026 (CCFA) W. Yu, D. Ouyang, F. Zhang, X. Zhao, S. Shen, X. LIN, Z. Tian, Hops Can be Constrained: Efficient Distance Queries on Large Time-Dependent Road Networks, in SIGMOD2026, 2026 (CCFA). Z. Wu, J.Jin, P. Cheng, X. Zhong, L. Chen, Y. Tong, Z. Shen, J. Song, H. Shen, X. LIN, FGIM: a Fast Graph-based Indexes Merging Framework for Approximate Nearest Neighbor Search, in SIGMOD2026, 2026 (CCFA). W. Zhang, Z. Yang, D. Wen, Y. Ding, W. Zhang, X. LIN, Nucleus Decomposition Revisited: An Efficient Counting-Based Approach, in SIGMOD2026, 2026. Z. Lu, D. Wen, W. Li, X. LIN, W. Zhang, Maintaining Biconnected Components in Streaming Graphs, in SIGMOD2026, 2026. Danni Wu, Yuanyuan Xu, Xuemin Lin, Wenjie Zhang, Ying Zhang, Understanding Evolving Graph Structures for Large Discrete-Time Dynamic Graph Representation. Proc. VLDB Endow. 19(5): 862-875, 2026. (CCFA). S. Liu, J. Wang, X. LIN, Q. Lu, W. Zhang, Y. Zhang, HyperJoin: LLM-augmented Hypergraph Link Prediction for Joinable Table Discovery, in VLDB2026, (CCFA). H. Yin, K. Wang, W. Zhang, X. LIN, Efficient Hyper-truss Decomposition over Hypergraphs, in VLDB2026, 2026. (CCFA). D. Ouyang, Y. Wang, D. Wen, W. Zhang, Y. Liu, X. LIN, Efficient Temporal Subgraph Management: A New Interval Index, in VLDB2026, 2026.(CCFA) D. Ouyang, J. Yang, S. Yang, C. Wang, X. LIN, Reverse k Nearest Neighbor Query in Large Road Networks: A Tree Decomposition based Approach, in ICDE2026, 2026 (CCFA) S. Xu, F. Li, X. Wang, Z. Yang, X. LIN, C²TC: A Training-Free Framework for Efficient Tabular Data Condensation, in ICDE2026, 2026 (CCFA). Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Xuemin Lin, Xiwei Xu, Unlocking Multi-Modal Potentials for Link Prediction on Dynamic Text-Attributed Graphs, AAAI 2026: 27386-27394. (CCFA). M. Chen, Y. Sun, T. Li, J. Wang, K. Wang, X. LIN, Y. Zhang, W. Zhang, Empowering Tabular Data Preparation with Language Models: Why and How? ACL2026 (CCFA). W. Huang, H. Wang, D. Wen, W. Zhang, Y. Zhang, X. LIN, Towards Generative Graph Matching for Graph Edit Distance Computation. ICML 2026 (CCFA) F. Li, X. Wang, W. Zhang, Y. Zhang, X. LIN， DHG-Bench: A Comprehensive Benchmark for Deep Hypergraph Learning. ICLR 2026, (CCFA) Q. Liang, D. Ouyang, K. Chen, F. Zhang, X. LIN, Efficient Simple Temporal Cycle Enumeration on Large Graphs with Lightweight Preprocessing. KDD 2026 (CCFA Y. Wu, X. Zhu, G. Li, K. Wang, X LIN, Structure-Aware Abstraction of Hierarchical Time Series, KDD 2026 (CCFA). Y. Li, Y. Xu, X. LIN, Y. Zhang, Mitigating Anomaly Hallucination: A Model-Agnostic Framework for Unsupervised Anomaly Detection on Dynamic Graphs, KDD 2026 (CCFA). Y. She, J. Huang, E. Wang, X. Song, L. Wang, H. An, C. Xu, H. Zhang, X. LIN, ECGMind: A Foundation Model for ECG Classification via Dynamic Energy Guidance, KDD ADS track, 2026 (CCFA) Y. Xu, D. Wu, X. LIN, D. Wen, W. Zhang, L. Chen, Y. Zhang, Exploring Sequential Dynamics on Temporal Graphs via Composite Filtering WWW 2026 (CCFA). Yuren Mao, Yu Hao, Xin Cao, Yunjun Gao, Chang Yao, Xuemin LIN, Boosting GNN-Based Link Prediction via PU-AUC Optimization. IEEE Trans. Knowl. Data Eng. 37(4): 1635-1649, 2025. (CCFA). Li Han, Longxun Wang, Ziyang Cheng, Bo Wang, Guang Yang, Dawei Cheng, Xuemin LIN, Mitigating the Tail Effect in Fraud Detection by Community Enhanced Multi-Relation Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 37(4): 2029-2041, 2025. (CCFA). Yuzheng Cai, Siyuan Liu, Weiguo Zheng, Xuemin LIN, Chengbo Zhang, Xuecang Zhang, Generating k-Hop-Constrained s-t Path Graphs. IEEE Trans. Knowl. Data Eng. 37(5): 2584-2599, 2025. (CCFA). 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. 37(7): 4373-4388, 2025. (CCFA). Shunyang Li, Kai Wang, Wenjie Zhang, Xuemin LIN, Yizhang He, Efficient Bitruss Decomposition on GPU. IEEE Trans. Knowl. Data Eng. 37(8): 4578-4590, 2025. (CCFA). 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. 37(12): 7105-7119, 2025. (CCFA). Long Yuan, Zeyu Zhou, Zi Chen, Xuemin LIN, Xiang Zhao, Fan Zhang, GPUSCAN++: Efficient Structural Graph Clustering on GPUs. IEEE Trans. Parallel Distributed Syst. 36(9): 1890-1903, 2025. (CCFA). Yuanhang Yu, Dong Wen, Michael Yu, Lu Qin, Ying Zhang, Wenjie Zhang, Xuemin LIN, Querying historical K-cores in large temporal graphs. VLDB J. 34(2): 26, 2025. (CCFA). Qi Luo, Wenjie Zhang, Zhengyi Yang, Dongxiao Yu, Xuemin LIN, Liping Wang, Efficient indexing and searching of constrained core in hypergraphs. VLDB J. 34(3): 34, 2025. (CCFA). 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. VLDB J. 34(5): 60, 2025. (CCFA). Jiadong Xie, Fan Zhang, Kai Wang, Jialu Liu, Xuemin LIN, Wenjie Zhang, Influence Minimization via Blocking Strategies. INFORMS J. Comput. 37(6): 1587-1604, 2025. (CCFB). 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. 57(2): 27:1-27:39, 2025. Wenqian Zhang, Zhengyi Yang, Dong Wen, Wentao Li, Wenjie Zhang, Xuemin Lin, Accelerating Core Decomposition in Billion-Scale Hypergraphs. Proc. ACM Manag. Data 3(1): 6:1-6:27, 2025. (CCFA). Qing Sima, Jianke Yu, Xiaoyang Wang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Deep Overlapping Community Search via Subspace Embedding. Proc. ACM Manag. Data 3(1): 28:1-28:26, 2025. (CCFA). Lantian Xu, Dong Wen, Lu Qin, Ronghua Li, Ying Zhang, Yang Lu, Xuemin Lin, Minimum Spanning Tree Maintenance in Dynamic Graphs. Proc. ACM Manag. Data 3(1): 54:1-54:24, 2025. (CCFA). 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 3(3): 208:1-208:28, 2025. (CCFA). 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 3(3): 211:1-211:26, 2025. (CCFA). Lingkai Meng, Long Yuan, Xuemin Lin, Wenjie Zhang, Ying Zhang, Triangle Counting in Hypergraph Streams: A Complete and Practical Approach. Proc. ACM Manag. Data 3(6): 1-28, 2025. (CCFA). Weihao Yu, Dian Ouyang, Fan Zhang, Xiang Zhao, Shen Su, Xuemin Lin, Zhihong Tian, Hops Can be Constrained: Efficient Distance Queries on Large Time-Dependent Road Networks. Proc. ACM Manag. Data 3(6): 1-25, 2025. (CCFA). Leilei Du, Peng Cheng, Lei Chen, Heng Tao Shen, Xuemin Lin, Wei Xi, Infinite Stream Estimation under Personalized w-Event Privacy. Proc. VLDB Endow. 18(6): 1905-1918, 2025. (CCFA). 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. 18(8): 2695-2708, 2025. (CCFA). 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. 18(10): 3421-3434, 2025. (CCFA). Benzhao Tang, Shiyu Yang, Zhitao Shen, Wenjie Zhang, Xuemin Lin, Zhihong Tian, LogLite: Lightweight Plug-and-Play Streaming Log Compression. Proc. VLDB Endow. 18(11): 3757-3770, 2025. (CCFA). Xiaoyao Zhong, Haotian Li, Jiabao Jin, Mingyu Yang, Deming Chu, Xiangyu Wang, Zhitao Shen, Wei Jia, George Gu, Yi Xie, Xuemin Lin, Heng Tao Shen, Jingkuan Song, Peng Cheng, VSAG: An Optimized Search Framework for Graph-based Approximate Nearest Neighbor Search. Proc. VLDB Endow. 18(12): 5017-5030, 2025. (CCFA). W. Huang, H. Wang, D. Wen, S. Ma, W. Zhang, X. LIN, Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN. NeurIPS 2025. (CCFA) Jianxin Yan, Wangze Ni, Lei Chen, Xuemin Lin, Peng Cheng, Zhan Qin, Kui Ren, ContextCache: Context-Aware Semantic Cache for Multi-Turn Queries in Large Language Models. Proc. VLDB Endow. 18(12): 5391-5394, 2025. (CCFA). Gengda Zhao, Dong Wen, Xiaoyang Wang, Kai Wang, Xuemin Lin, Preserving K-Connectivity in Dynamic Graphs, ICDE 2025: 156-169. (CCFA). Long Yuan, Xiaotong Sun, Zi Chen, Peng Cheng, Longbin Lai, Xuemin Lin, HINSCAN: Efficient Structural Graph Clustering Over Heterogeneous Information Networks, ICDE 2025: 278-291. (CCFA). Zhitao Shen, Shiyu Yang, Weibo Chen, Kunming Wang, Yue Li, Jiabao Jin, Wei Jia, Junwei Chen, Yuan Su, Xiaoxia Duan, Wei Chen, Lei Wang, Jie Song, Ruoyi Ruan, Xuemin Lin, TierBase: A Workload-Driven Cost-Optimized Key-Value Store, ICDE 2025: 571-584. (CCFA). Jiexi Zhan, Yu Chen, Peng Cheng, Lei Chen, Wangze Ni, Xuemin Lin, StructRide: A Framework to Exploit the Structure Information of Shareability Graph in Ridesharing, ICDE 2025: 655-668. (CCFA). Yu Shao, Peng Cheng, Longbin Lai, Long Yuan, Wangze Ni, Xuemin Lin, Most Probable Maximum Weighted Butterfly Search, ICDE 2025: 710-723. (CCFA). Yikun Wang, Dian Ouyang, Zhuoran Wang, Dong Wen, Xuemin Lin, Efficient Route and Area Matching Query in Dynamic Road Networks, ICDE 2025: 751-764. (CCFA). Jianye Yang, Lei Xing, Ziyi Ma, Xi Luo, Cuiyun Gao, Xuemin Lin, Maximal Similar-Weight Biclique Enumeration for Large Bipartite Graphs, ICDE 2025: 1084-1097. (CCFA). Fan Li, Xiaoyang Wang, Dawei Cheng, Cong Chen, Ying Zhang, Xuemin Lin, Efficient Dynamic Attributed Graph Generation, ICDE 2025: 1415-1428. (CCFA). Dian Ouyang, Dong Wen, Jianye Yang, Wentao Li, Xuemin Lin, Weight-Constrained Simple Path Enumeration in Weighted Graph, KDD (1) 2025: 1092-1103. (CCFA). Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Xiwei Xu, Xuemin Lin, Fast and Accurate Temporal Hypergraph Representation for Hyperedge Prediction, KDD (1) 2025: 1727-1738. (CCFA). Kaiyu Chen, Dong Wen, Hanchen Wang, Zhengyi Yang, Wenjie Zhang, Xuemin Lin, Covering K-Cliques in Billion-Scale Graphs, WWW 2025: 2299-2308. (CCFA). Yingxuan Li, Yuanyuan Xu, Xuemin Lin, Wenjie Zhang, Ying Zhang, Ranking on Dynamic Graphs: An Effective and Robust Band-Pass Disentangled Approach, WWW 2025: 3918-3929. (CCFA). Ruifeng Li, Wei Liu, Xiangxin Zhou, Mingqian Li, Qiang Zhang, Hongyang Chen, Xuemin Lin, Contextual Representation Anchor Network for Mitigating Selection Bias in Few-Shot Drug Discovery, CIKM 2025: 1634-1642. (CCFB). Minglang Xie, Jianye Yang, Wenjie Zhang, Shiyu Yang, Xuemin Lin, Deep Skyline Community Search, EDBT 2025: 636-648. (CCFB). Yu Liu, Qi Luo, Yanwei Zheng, Wenjie Zhang, Xuemin Lin, Dongxiao Yu, Effective and Efficient Community Search over Large-Scale Hypergraphs, EDBT 2025: 722-734. (CCFB). Mao, Y. Hao, X. Cao, Y. Fang, X. LIN, Dynamic Graph Embedding via Meta-Learning. IEEE Trans. Knowl. Data Eng. 36(7): 2967-2979, 2024. (CCFA). Sun, Y. Wu, X. Wang, C. Chen, W. Zhang, X. LIN, Efficient Balanced Signed Biclique Search in Signed Bipartite Graphs. IEEE Trans. Knowl. Data Eng. 36(3): 1069-1083, 2024. (CCFA). Chen, H. Wang, H. Chen, Y. Zhang, W. Zhang, X. LIN, Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions. IEEE Trans. Knowl. Data Eng TKDE 36(3): 1016-1029,2024. (CCFA). Zhang, H. Guo, D. Ouyang, S. Yang, X. LIN, Size-Constrained Community Search on Large Networks: An Effective and Efficient Solution, IEEE Transactions on Knowledge and Data Engineering, TKDE, 36(1): 366-371, 2024. (CCFA). Wang, J. Yu, X. Wang, C. Chen, W. Zhang, X. LIN, Neural Similarity Search on Supergraph containment, IEEE Transactions on Knowledge and Data Engineering, TKDE, 36(1): 281-295, 2024. (CCFA). Huang, Y. Zhang, L. Wang, F. Zhang, X. LIN, Unsupervised Deep Outlier Detection With Loss Entropy, KDD24. (CCFA). Ni, Y. Zhao, W. Sun, L. Chen, P. Cheng, C. Zhang, X. LIN, Money Never Sleeps: Maximizing Liquidity Mining Yields in Decentralized Finance, KDD24. (CCFA).. Zhang, Y. Lu, W. Zheng, X. LIN, A Comprehensive Survey and Experimental Study of Subgraph Matching: Trend, Unbiasedness, and Interaction, SIGMOD2024. (CCFA). Wang, Y. Zhang, K. Wang, X. LIN, W. Zhang, Missing Data Imputation with Uncertainty-Driven Network, SIGMOD2024. (CCFA). Wang, K. Wang, X. LIN, W. Zhang, Y. Zhang, Neural Attributed Community Search at Billion Scale, to appear in SIGMOD2024. (CCFA）. Chu, F. Zhang, W. Zhang, Y. Zhang, X. LIN, Graph Summarization: Compactness Meets Efficiency, SIGMOD2024. (CCFA). Zhang, Z. Shen, S. Yang, L. Meng, C. Xiao, W. Zhang, X. LIN, High-Ratio Compression for Machine-Generated Data, to appear in SIGMOD2024. (CCFA）. Song, D. Wen, L. Xu, L. Qin, W. Zhang, X. LIN, On Querying Historical Connectivity in Temporal Graphs, SIGMOD24. (CCFA). Wang, L. Yuan, W. Zhang, Z. Chen, X. LIN, Q. Liu, Simpler is More: Efficient Top-K Nearest Neighbors Search on Large Road Networks, VLDB2024. (CCFA). Wang, Y. Wang, X. LIN, J. Yu, H. Gao, X. Cheng, D. Yu, Efficient Betweenness Centrality Computation over Large Heterogeneous Information Networks, VLDB2024. Wu, R. Sun, X. Wang, D. Wen, Y. Zhang, L. Qin, X. LIN, Efficient Maximal Frequent Group Enumeration in Temporal Bipartite Graphs, VLDB2024. (CCFA). Feng, J. Zhang, W. Zhang, L. Qin, Y. Zhang, X. LIN, Efficient kNN Search in Public Transportation Networks, VLDB2024. (CCFA). Yang, S. Fang, Z. Gu, Z. Ma, X. LIN, Z. Tian, TC-Match: Fast Time-constrained Continuous Subgraph Matching, VLDB2024. (CCFA). Ni, P. Chen, L. Chen, P. Cheng, C. Zhang, X. LIN, Utility-aware Payment Channel Network Rebalance, VLDB2024. (CCFA). Chen, D. Wen, W. Zhang, Y. Zhang, X. Wang, X. LIN, Querying Structural Diversity in Streaming Graphs, VLDB2024. (CCFA).. Liang, D. Ouyang, F. Zhang, J. Yang, X. LIN, Z. Tian, Efficient Regular Simple Path Queries under Transitive Restricted Expressions, VLDB2024. (CCFA). Wang, K. Wang, X. LIN, W. Zhang, Y. Zhang, Efficient Unsupervised Community Search with Pre-trained Graph Transformer, VLDB2024. (CCFA). J. Wang, Y. Wu, X. Wang, Y. Zhang, L. Qin, W. Zhang, X. LIN, Efficient Influence Minimization via Node Blocking, VLDB2024. (CCFA). Yuan, X. Li, Z. Chen, X. LIN, X. Zhao, W. Zhang, I/O Efficient Label-Constrained Reachability Queries in Large Graphs, VLDB2024. (CCFA）. Xie, Z. Chen, D. Chu, F. Zhang, X. LIN, Z. Tian, Influence Maximization via Vertex Countering, VLDB2024. (CCFA). Hao, L. Yuan, W. Zhang, X. LIN, Batch Hop-Constrained s-t Simple Path Query Processing in Large Graphs, ICDE2024. (CCFA).. Ma, J. Yang, X. Zhou, G. Xiao, J. Wang, L. Yang, K. Li, X. LIN, X. Zhao, W. Efficient Multi-query Oriented Continuous Subgraph Matching, ICDE2024. (CCFA）. Zhong, J. Jin, P. Cheng, N. Wang, L. Zheng, L. Chen, X. LIN, Wait to be Faster: a Smart Pooling Framework for Dynamic Ridesharing, ICDE2024. (CCFA). Chen, K. Wang, R. Li, H. Qin, X. LIN, G. Wang, Maximal Biclique Enumeration: A Prefix Tree Based Approach, ICDE2024. (CCFA). Xu, W. Zhang, Y. Zhang, M. Orlowska, X. LIN, TimeSGN: Scalable and Effective Temporal Graph Neural Network, ICDE2024. (CCFA).. Wang, S. Yang, J. Jin, P. Cheng, J. Yang, X. LIN, Efficient Learning-based Top-k Representative Similar Subtrajectory Query, ICDE2024. (CCFA). Li, K. Wang, X. LIN, W. Zhang, Y. He, L. Yuan, Querying Historical Cohesive Subgraphs over Temporal Bipartite Graphs, ICDE2024. (CCFA). He, K. Wang, W. Zhang, W. Ni, Y. Zhang, Butterfly Counting over Bipartite Graphs with Local Differential Privacy, ICDE2024. (CCFA). Zhu, L. Zheng, C. Zhang, P. Cheng, R. Meng, L. Cheng, X. LIN, J. Yin, Privacy-preserving Traffic Flow Release with Consistency Constraints, ICDE2024. (CCFA). Wu, R. Sun, X. Wang, Y. Zhang, L. Qin, W. Zhang, X. LIN, Efficient Maximal Temporal Plex Enumeration, ICDE2024. (CCFA).. Zhan, H. Wu, P. Cheng, L. Zheng, L. Chen, C. Zhang, X. LIN, W. Zhang, TrendSharing: a Framework to Discover and Follow the Trends for Shared Mobility Services, ICDE2024. (CCFA).. Li, X. Wang, D. Cheng, W. Zhang, Y. Zhang, X. LIN, Hypergraph Self-supervised Learning with Sampling-efficient Signals, IJCAI24. (CCFA). Shao, P. Cheng, X. Lian, L. Chen, W. Ni, X. LIN, C. Zhang, L. Wang, Efficient Multiple Temporal Network Kernel Density Estimation, ICDE2024. (CCFA). Wang, X. LIN, L. Qin, W. Zhang, Y. Zhang, Accelerated butterfly counting with vertex priority on bipartite graphs. VLDB J. 32(2): 257-281, 2023. (CCFA). Kim, Y. Choi, K. Park, X. LIN, S. Hong, W. Han: Fast subgraph query processing and subgraph matching via static and dynamic equivalences. VLDB J. 32(2): 343-368, 2023. (CCFA). Luo, D. Yu, Z. Cai, X. LIN, G. Wang, X. Cheng: Toward maintenance of hypercores in large-scale dynamic hypergraphs. VLDB J. 32(3): 647-664, 2023. (CCFA). Yang, Y. Peng, D. Ouyang, W. Zhang, X. LIN, X. Zhao: (p,q)-biclique counting and enumeration for large sparse bipartite graphs. VLDB J. 32(5): 1137-1161 (2023). Ouyang, D. Wen, L. Qin, L. Chang, X. LIN, Y. Zhang: When hierarchy meets 2-hop-labeling: efficient shortest distance and path queries on road networks. VLDB J. 32(6): 1263-1287, 2023. (CCFA). Chen，R. Sun, X. Wang, W. Zhang, X.LIN, Clique Identification in Signed Graphs: A Balance Theory based Model, IEEE Transactions on Knowledge and Data Engineering, 35(12): 12513-12527 (2023). (CCFA). Sun, W. Zhang, X. LIN, Progressive Hard Negative Masking: From Global Uniformity to Local Tolerance, IEEE Transactions on Knowledge and Data Engineering, 35(12): 12932-12943 (2023). (CCFA. Corresponding Author LIN). Chen, J. Yu, X. Wang, W. Zhang, X. LIN, Neural Similarity Search on Supergraph Containment, IEEE Transactions on Knowledge and Data Engineering, 2023, 36(1): 281-295. (CCFA). Zhang, H. Guo, Size-constrained Community Search on Large Networks: An Effective and Efficient Solution, IEEE Transactions on Knowledge and Data Engineering, 2023, 36(1): 356-371. (CCFA). Wang, G. Zhao, W. Zhang, X. LIN, Y. Zhang, C. Liu, Cohesive Subgraph Discovery over Uncertain Bipartite Graphs, IEEE Transactions on Knowledge and Data Engineering, TKDE, (01): 1-14 (2023). (CCFA). Yuan, Z. Chen, X. LIN, L. Qin, W. Zhang, Balanced Clique Computation in Signed Networks: Concepts and Algorithms, IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(11): 11079-11092. (CCFA). Luo，D，Yu，Z. Cai, X. LIN, G. Wang, X. Chen, Towards Maintenance of k-Hypercores in Large-Scale Dynamic Hypergraphs, The VLDB Journal, 32(3), 647-664. (CCFA). Zhang, Q. Linhu, J. Xie, K. Wang, X. LIN, W. Zhang, Quantifying Node Importance Over Network Structural Stability, in KDD2023. (CCFA). Jin, P. Cheng, L. Chen, X. LIN, W. Zhang, Efficient Non-Learning Similar Subtrajectory Search, to appear in VLDB2023. (CCFA). Feng, Z. Chen, L. Yuan, X. LIN, P. Wang, Contraction Hierarchies with Label Restrictions Maintenance in Dynamic Road Networks, in DASFAA2023. (Best Student Paper Award, CCFB). Cai, S. Liu, W. Zheng, X. LIN, Towards Generating Hop-constrained s-t Simple Path Graph, in SIGMOD2023. (CCFA). He, K. Wang, W. Zhang, X. LIN, Y. Zhang, Scaling Up k-Clique Densest Subgraph Detection, in SIGMOD2023. (CCFA). Du, P. Cheng, L. Zheng, W. Xi, X. LIN, W. Zhang, J. Fang, Dynamic Private Task Assignment under Differential Privacy, in ICDE2023. (CCFA). Wang, L. Yuan, Zi. Chen, W. Zhang, X. LIN, Q. Liu, Towards Efficient Shortest Path Counting on Billion-Scale Graphs, in ICDE2023. (CCFA). Huang, L. Wang, F. Zhang, X. LIN, Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method, in ICDE2023. (CCFA). Wu, Y. Xu, X. LIN, W. Zhang, A Holistic Approach for Answering Logical Queries on Knowledge Graphs, in ICDE2023. (CCFA). Yang, W. Zhang, X. LIN, Y. Zhang, S. Li, HGMatch: A Match-by-Hyperedge Framework for Efficient and Parallel Subhypergraph Matching, in ICDE2023. (CCFA). Zhang, S. Yang, D. Ouyang, F. Zhang, X. LIN, L. Yuan, Hop-Constrained s-t Simple Path Enumeration on Large Dynamic Graphs, in ICDE 2023. (CCFA). Zhao, Z. Chen, L. Yuan, X. LIN, K. Wang, Index-Based Biclique Percolation Communities Search on Bipartite graphs, in ICDE2023. (CCFA). J. Xie, F. Zhang, K. Wang, X. LIN, W. Zhang, Minimizing the Influence of Misinformation via Vertex Blocking, to appear in ICDE2023. (CCFA). Peng, Z. Ma, W. Zhang, X. LIN, Y. Zhang, X. Chen, Efficiently Answering Quality Constrained Shortest Distance Queries in Large Graphs, in ICDE2023. (corresponding author: LIN). (CCFA). Ren, C. Chen, X. Wang, W. Zhang, Y. Zhang, X. LIN, Efficient Maximum Signed Biclique Identification, in ICDE2023. (CCFA). Peng, X. LIN, M. Yu, W. Zhang, Q. Lu, TDB: Breaking All Hop-Constrained Cycles in Billion-Scale Directed Graphs, in ICDE2023. (Corresponding Author: Lin) (CCFA). Sun, X. LIN, Y. Zhang, W. Zhang, Q. Chen, Towards Higher-order Topological Consistency for Unsupervised Network Alignment, in ICDE2023 (Corresponding authors: Lin and W. Zhang) (CCFA). Li, K. Meng, L. Qin, L, Lai, W. Yu, Z. Qian, X. LIN, J. Zhou, FLASH: A Framework for Programming Distributed Graph Processing Algorithms, in ICDE2023 (corresponding author: LIN) (CCFA). Luo, D. Yu, Y. Liu, Y. Zheng, X. Cheng, X. LIN, Finer-Grained Engagement in Hypergraphs, in ICDE2023. (CCFA). Juliana Freire, Fatma Özcan, Xuemin LIN, Editorial for Special Issue: VLDB 2022. VLDB J. 34(4): 52, 2025. (CCFA). Huang, J. Wang, S. Song, X. LIN, X. ZHU, J. Pei, Efficiently Cleaning Structured Event Logs: A Graph Repair Approach, ACM Transactions on Database Systems (TODS)，48(1):3:1-3:44 (2022). (CCFA). Wang, J. Yang, C. Zhang, X. LIN, Efficiently Maximum Edge-Weighted Biclique Search on Large Bipartite Graphs, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, 35(8): 7921-7934. (CCFA). Mao, Z. Wang, W. Liu, X. LIN, Wenbin Hu, Task Variance Regularized Multi-Task Learning, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, 35(8): 8615-8629. (CCFA). Chen, Y. Zhao, C. Chen, X. Wang, X. LIN, W. Zhang, Finding the Maximum K-Balanced Biclique on Weighted Bipartite Graphs, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, 35(8): 7994-8007. (CCFA). Huang, Yixiang Fang, Xuemin Lin, Xin Cao, Wenjie Zhang: ABLE: Meta-Path Prediction in Heterogeneous Information Networks. ACM Trans. Knowl. Discov. Data 16(4): 73:1-73:21 (2022). (CCFA). Peng, Xuemin Lin, Ying Zhang, Wenjie Zhang, Lu Qin: Answering reachability and K-reach queries on large graphs with label constraints. VLDB J. 31(1): 101-127 (2022). (CCFA). Li, M. Qiao, L. Qin, Y. Zhang, L. Chang, X. LIN, Distance Labeling: On Parallelism, Compression, and Ordering. VLDB Journal 31(1), 129-155, 2022. (CCFA). Lyu, L. Qin, Xuemin Lin, Y. Zhang, Z. Qian, J. Zhou, Maximum and Top-k Diversified Biclique Search at Scale, VLDBJ 31, 1365–1389 (2022). (CCFA). Wang, X. Lin, L. Qin, W. Zhang, Y. Zhang, Towards Efficient Solutions of Bitruss Decomposition for Large-scale Bipartite Graphs, VLDBJ 31, 203–226 (2022). (CCFA). Cheema, X. Lin, W. Zhang. Y. Zhang, Continuous Monitoring of Moving Skyline and Top-k Queries, VLDBJ 31, 459–482 (2022). (CCFA). Wang, W. Zhang, X. LIN, Y. Zhang, S. Li, Discovering Hierarchy of Bipartite Graphs with Cohesive Subgraphs, ICDE 2022: 2291-2305. (CCFA). Sun, Y. Wu, C. Chen, X. Wang, W. Zhang, X. LIN, Maximal Balanced Signed Biclique Enumeration in Signed Bipartite Graphs, to appear in ICDE 2022: 1887-1899. (CCFA). Zhao, K. Wang, W. Zhang, X. LIN, Y. Zhang, Y. He, Efficient Computation of Cohesive Subgraphs in Uncertain Bipartite Graphs, ICDE 2022: 2333-2345. (CCFA). Meng, L. Yuan, Zi. Chen, X. LIN, S. Yang, Index-Based Structural Clustering on Directed Graphs, ICDE 2022: 2831-2844. (CCFA). Mao, Z. Wang, W. Liu, X. LIN, W. Hu, MetaWeighting: Learning to Weight Tasks in Multi-Task Learning, ACL(Findings) 2022: 3436-3448. (CCFA). Wang, Y. Yuan, W. Zhang, Y. Zhang, X. LIN, G. Wang, Reachability-Driven Influence Maximization in Time-dependent Road-social Networks, ICDE 2022: 367-379. (CCFA). Chu, F. Zhang, W. Zhang, X. LIN, Y. Zhang, Hierarchical Core Decomposition in Parallel: From Construction to Subgraph Search, ICDE 2022: 1138-1151. (CCFA). Zheng, P. Cheng, L. Chen, J. Yu, X. LIN, J. Yin, Crowdsourced Fact Validation for Knowledge Bases, ICDE 2022: 938-950. (CCFA). Zhang, W. Li, L. Qin, Y. Zhang, L. Cui, X. LIN, Reachability Labeling for Distributed Graphs, ICDE 2022: 686-698. (CCFA). Wang, Y. Zhang, L, Qing, W. Wang, W. Zhang, X. LIN, Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching, ICDE 2022: 245-258. (CCFA). Feng, Y. Peng, W. Zhang, Y. Zhang, X. LIN, Towards Real-Time Counting Shortest Cycles on Dynamic Graphs: A Hub Labeling Approach, ICDE 2022: 512-524. (CCFA). He, K. Wang, W. Zhang, X. LIN, Y. Zhang, Efficient Reinforcement of Bipartite Networks at Billion Scale, ICDE 2022: 446-458. (CCFA). Yuan, D. Wen, Y. Zhang, L. Qin, W. Zhang, X. LIN, GPU-accelerated Proximity Graph Approximate Nearest Neighbor Search and Construction, ICDE 2022: 552-564. (CCFA). Wang, W. Zhang, X. LIN, L. Qin, A. Zhou, Efficient Personalized Maximum Biclique Search, ICDE 2022: 498-511. (CCFA). Chen, X. Cao, Y. Zheng, Y. Fang, S. Wang, X. LIN, F. Liang, Constrained Path Search with Submodular Function Maximization, ICDE 2022: 325-337. (CCFA). Huang, Y. Fang, X. LIN, X. Cao, W. Zhang, M. Orlowska, Estimating Node Importance Values in Heterogeneous Information Networks, ICDE 2022: 846-858. (CCFA). Jin，C. Peng, L. Chen, X. LIN, W. Zhang, GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models, ICDE 2022: 1193-1205. (CCFA). Li, M. Qiao, L. Qin, L. Chang, Y. Zhang, X. LIN, On Scalable Computation of Graph Eccentricities, SIGMOD 2022: 904-916. (CCFA). Yuan, Y. Peng, C. Peng, L. Han, X. LIN, L. Chen, W. Zhang, Efficient k-clique Listing with Set Intersection Speedup, ICDE 2022: 1955-1968. (CCFA). Ma, Yixiang Fang*, Reynold Cheng, Laks V.S. Lakshmanan, Wenjie Zhang, Xuemin Lin. "On Directed Densest Subgraph Discovery", ACM Transactions on Database Systems (TODS), 46(3):13:1-13:45, 2021. (CCFA). Huang, X. Lin, W. Zhang, Y. Zhang, Communication- Efficient Distributed Covariance Sketch, with Application to Distributed PCA, JMLR,22(1):80:3643-80:3680 (2021). (CCFA). Chen, L. Lai, L. Qin, X. Lin, Efficient Structural Node Similarity Computation on Billion-scale Graphs, VLDBJ 30, 471–493 (2021). (CCFA). Yang, L. Lai, X. Lin, K. Hao, W. Zhang, HUGE: An Efficient and Scalable Subgraph Enumeration Engine, SIGMOD 2021: 2049-2062. (CCFA). Kim, Y. Choi, K. Park, X. Lin, S-H. Hong, W-S. Han, Versatile Equivalences: Speeding up Subgraph Query Processing and Subgraph Matching, SIGMOD 2021: 925-937. (CCFA). Ni, P. Cheng, L. Chen, X. Lin, When the Recursive Diversity Anonymity Meets the Ring Signature, SIGMOD 2021: 1359-1371. (CCFA). Mao, Z. Wang, W. Liu, X. LIN, W. Hu, BanditMTL: Bandit-based Multi-task Learning for Text Classification, ACL 2021: 5506-5516. (CCFA). Chen, K. Wang, X. LIN, W. Zhang, L. Qin, Y. Zhang, Efficiently Answering Reachability and Path Queries on Temporal Bipartite Graphs, VLDB 2021, 14(10), 1845-1858. (CCFA). Yu, D. Wen, L. Qin, Y. Zhang, W. Zhang, X. LIN, On Querying Historical K-Cores, VLDB 2021, 14(11): 2033-2045. (CCFA). Yang, Y. Fang, M. Orlowska, W. Zhang, X. Lin, Efficient Bi-triangle Counting for Large Bipartite Networks, VLDB 2021, 14(6): 984-996. (CCFA). Lin, F. Zhang, X. Lin, W. Zhang, Z. Tian, Hierarchical Core Maintenance on Large Dynamic Graphs, VLDB 2021, 14(5): 757-770. (CCFA). Wang, W. Zhang, X. Lin, Y. Zhang, L. Qin, Y. Zhang, Efficient and Effective Community Search on Large-scale Bipartite Graphs, ICDE 2021: 85-96. (CCFA). Liu, F. Zhang, W. Zhang, X. Lin, Y. Zhang, Efficient Community Search with Size Constraint, ICDE 2021: 97-108. (CCFA). Chen, L. Lai, L. Qin, X. Lin, B. Liu, A Framework to Quantify Approximate Simulation on Graph Data, ICDE 2021: 1308-1319. (CCFA). Yu, L. Qin, Y. Zhang, W. Zhang, X. Lin, DPTL+: Efficient Parallel Triangle Listing on Batch-Dynamic Graphs, ICDE 2021: 1332-1343. (CCFA). Lai, Y. Peng, S. Yang, X. Lin, W. Zhang, PEFP: Efficient k-hop Constrained s-t Simple Path Enumeration on FPGA, ICDE 2021: 1320-1331. (CCFA). Yu, D. Wen, Y. Zhang, X. Wang, W. Zhang, X. Lin, Efficient Matrix Factorization on Heterogeneous CPU-GPU Systems, ICDE 2021: 1871-1876. (CCFA). yang, H. Wang, Y. Zhang, L. Qin, W. Zhang, X. Lin, T3S: Effective Representation Learning for Trajectory Similarity Computation, ICDE 2021: 2183-2188. (CCFA). Ma, Y. Fang, R. Cheng, L. Lakshmanan, W. Zhang, X. LIN, Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs, SIGMOD 2020:1051-1066. (SIGMOD2021 Research highlight Award) (CCFA). Zhang, Z. Huang, X. Lin, W. Zhang, Y. Zhang, Efficient and High-Quality Seeded Graph Matching: Employing Higher-order Structural Information, TKDD,15(3):51:1-51:31, (2020). . Zeng, X. Zhao, J. Tang, X. Lin, P. Groth, Reinforcement Learning based Collective Entity Alignment with Adaptive Features, TOIS,39(3):26:1-26:31(2020).. Liu, L. Yuan, X. LIN, L. Qin, W. Zhang, J. Zhou, Efficient (alpha, beta)-core Computation in Bipartite Graphs, VLDBJ volume 29, 1075–1099 (2020). (CCFA). Fang, Xin Huang, Lu Qin, Ying Zhang, Wenjie Zhang, Reynold Cheng, Xuemin LIN. A Survey of Community Search Over Big Graphs, VLDBJ 29, 353-392, 2020. (CCFA). Linhu, F. Zhang, X. LIN, W. Zhang, Y. Zhang, Global Reinforcement of Social Networks: The Anchored Coreness Problem, SIGMOD 2020: 2211-2226. (CCFA). Li, M. Qiao, L. Qin, Y. Zhang, L. Chang, X. LIN, Scale Distance Labeling on Graphs with Core-Periphery Properties, SIGMOD 2020: 1367-1381. (CCFA). Ouyang, D. Wen, L. Qin, L. Chang, Y. Zhang, X. LIN, Progressive Top-K Nearest Neighbor Search in Large Road Networks, SIGMOD 2020: 1781-1795. (CCFA). Lv, L. Qin, X. LIN, Y. Zhang, Z. Qian, J. Zhou, Maximum Biclique Search at Billion Scale, PVLDB 13(9): 1359-1372(VLDB2020). (Best Paper Award Runner-up) (CCFA). Kim, S. Min, K. Park, X. LIN, S.H. Hong, W.S. Han, IDAR: Fast Supergraph Search Using DAG Integration, PVLDB 13(9): 1456-1468(VLDB2020). (CCFA). Wang, P. Cheng, L. Zheng, C. Feng, L. Chen, X. LIN, Z. Wang, Demand-Aware Route Planning for Shared Mobility Services, PVLDB 13(7): 979-991(VLDB2020). (CCFA). Fang, Y. Yang, W. Zhang, X. LIN, X. Cao, Effective and Efficient Community Search over Large Heterogeneous Information Networks, PVLDB 13(6): 854-867(VLDB2020).. Peng, Y. Zhang, X. LIN, W. Zhang, L. Qing, Answering Billion-Scale Label-Constrained Reachability Queries within Microsecond, PVLDB 13(6): 812-825(VLDB2020). (CCFA). Peng, Y. Zhang, X. LIN, W. Zhang, L. Qin, Hop-constrained s-t Simple Path Enumeration: Towards Bridging Theory and Practice, PVLDB 13(4): 463-476(VLDB2020). (CCFA). Li, F. Zhang, Y. Zhang, L. Qin, W. Zhang, X. LIN, Efficient Progressive Minimum k-core Search, PVLDB 13(3): 362-375(VLDB2020). (CCFA). Yang, D. Wen, L. Qin, Y. Zhang, X. Wang, X. LIN, Fully Dynamic Depth-First Search in Directed Graphs, PVLDB 13(2): 142-154(VLDB2020). (CCFA). Ouyang, L. Yuan, L. Qin, L. Chang, Y. Zhang, X. LIN, Efficient Shortest Path Index Maintenance on Dynamic Road Networks with Theoretical Guarantees, PVLDB 13(5): 602-615(VLDB2020). (CCFA). Yang, W. Zhang, X. Wang, Y. Zhang, X. LIN, Distributed Streaming Set Similarity Join, ICDE 2020: 565-576. (CCFA). Chang, X. Feng, X. LIN, L. Qin, W. Zhang, D. Ouyang: Speeding Up GED Verification for Graph Similarity Search. ICDE 2020: 793-804. (CCFA). Chu, F. Zhang, X. LIN, W. Zhang, Y. Zhang, Y. Xia, C. Zhang, Finding the Best k in Core Decomposition: A Time and Space Optimal Solution, ICDE 2020: 685-696. (CCFA). Wang, X. LIN, L. Qin, W. Zhang, Y. Zhang, Efficient Bitruss Decomposition for Large-scale Bipartite Graphs, ICDE 2020: 661-672. (CCFA). Li, R. Cheng, J. Hu, Y. Fang, M. Ou, R. Luo, K. Chang, X. LIN, MC-Explorer: Analyzing and Visualizing Motif-Cliques on Large Networks, ICDE 2020: 1722-1725 (Demo) (CCFA). Zeng, X. Zhao, J. Tang, X. LIN, Collective Entity Alignment via Adaptive Features, ICDE 2020: 1870-1873 (short paper) (CCFA). Wen, Y. Huang, Y. Zhang, L. Qin, W. Zhang, X. LIN, Efficiently Answering Span-Reachability Queries in Large Temporal Graphs, ICDE 2020: 1153-1164. (CCFA). Ni, P. Cheng, L. Chen, X. LIN, Task Allocation in Dependency-aware Spatial Crowd-sourcing, ICDE 2020: 985-996. (CCFA). Zhang, F. Zhang, W. Zhang, B. Liu, Y. Zhang, L. Qin, X. LIN, Exploring Finer Granularity within the Cores: Efficient (k, p)-Core Computation, ICDE 2020: 181-192. (CCFA). Li, Y. Zhang, Y. Sun, W. Wang, I. W. Tsang, X. LIN, I/O Efficient Approximate Nearest Neighbour Search based on Learned Functions, ICDE 2020: 289-300. (CCFA). Yang, Y. Fang, X. LIN, W. Zhang, Effective and Efficient Truss Computation over Larger Heterogeneous Information Networks, ICDE 2020: 901-912. (CCFA). Mao, W. Liu, X. LIN, Adaptive Adversarial Multi-task Representation Learning, ICML 2020.. Wang, D. Lian, Y. Zhang, L. Qin, X. LIN, GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions, IJCAI 2020.. Chen, L. Yuan, X. LIN, L. Qin, Efficient Maximal Balanced Clique Enumeration in Signed Networks, WWW 2020: 339-349.. Chen, L. Lai, L. Qin, X. LIN, StructSim: Querying Structural Node Similarity at Billion Scale, ICDE 2020: 1950-1953 (short paper). (CCFA). Zhang, X. LIN, Y. Zhang, L. Qing, W. Zhang, Efficient Community Discovery with User Engagement and Similarity, VLDBJ 28, 987-1012(2019). (CCFA). Wen, L. Qin, Y. Zhang, L. Chang, X. LIN, Efficient Structural Graph Cslustering: An Index-Based Approach, VLDBJ 28, 377-399(2019). (CCFA). 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 32(8): 1475 - 1488, 2019. (CCFA). Yu, X. LIN, W. Zhang, J. Pei, and J. McCann, SimRank*: Efficient and Scalable Pairwise Similarity Search Based on Graph Topology, VLDBJ 28, 401-426(2019). (CCFA). Wang, L. Qin, X. LIN, Y. Zhang, L. Chang, Leveraging Set Relations in Exact and Dynamic Set Similarity Join, VLDBJ 28: 267-292(2019). (CCFA). Cheng, J. Jin, L. Chen, X. LIN, L. Zheng, A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing, VLDB 2019: 1622-1625. (CCFA). Wang, X. LIN, L. Qin, W. Zhang, Y. Zhang, Vertex Priority Based Buttery Counting for Large-scale Bipartite Networks, VLDB 2019.12(10): 1139-1152(2019). (CCFA). Zhou, F. Zhang, X. LIN, W. Zhang, C. Chen, K-core Maximization: An Edge Addition Approach, IJCAI 2019: 4867-4873.. Zhu, M. Zhang, C. Chen, X. Wang, F. Zhang, X. LIN, Pivotal Relationship Identification: The K-Truss Minimization Problem, IJCAI 2019: 4874-4880.. Liu, L. Yuan, X. LIN, W. Zhang, L. Qin, J. Zhou, Efficient (,)-Core Computation: an Index-based Approach, WWW 2019: 1130-1141.. Li, M. Qiao, L. Qin, Y. Zhang, L. Chang, X. LIN, Scaling Distance Labeling on Small-world Networks, SIGMOD 2019: 1060-1077. (CCFA). Lv, L. Qin, X. LIN, L. Chang, J. Yu, Supergraph Search in Graph Databases vis Hierarchical Feature-Tree, TKDE, 31(2): 385-400(2018). (CCFA). Yang, W. Zhang, S. Yang, Y. Zhang, X. LIN, L. Yuan, Efficient Set Containment Join, VLDBJ 27, 471-495(2018). (CCFA). Chen, X. Zhao, X. LIN, Y. Wang, D. Guo, Efficient Mining of Frequent Patterns on Uncertain Graphs, TKDE, 31(2): 287-300(2018). (CCFA). Yu, X. LIN, W. Zhang, and J. McCann. Dynamical SimRank Assessment on Time- Varying Networks, VLDBJ 27, 79-104(2018). (CCFA). Zhao, C. Xiao, X. LIN, Wenjie Zhang, Yan Wang, Efficient Structure Similarity Searches: A Partition-Based Approach, VLDBJ 27, 53-78(2018). (CCFA). Qiu, W. Cen, Z. Qian, Y. Peng, Y. Zhang, X. LIN, J. Zhou, Real-time Constrained Cycle Detection in Large Dynamic Graphs, VLDB 2018. 11(12): 1876-1888(2018). (CCFA). Bi, L. Chang, X. LIN, W. Zhang, An Optimal and Progressive Approach to Online Search of Importance-based Top-K Communities, VLDB 2018. 11(9): 1056-1068(2018). (CCFA). Ouyang, L. Qin, L. Chang, X. LIN, Y. Zhang, Q. Zhu, When Hierarchy Meets 2-Hop-Labeling: Efficient Shortest Distance Queries on Road Networks, SIGMOD 2018: 709-724. (CCFA). Wang, X. Cao, X. LIN, W. Zhang, L. Qin, Efficient Computing of Radius-Bounded k-Cores, ICDE 2018: 233-244. (CCFA). Peng, Y. Zhang, W. Zhang, X. LIN, L. Qin, Efficient Probabilistic K-Core Computation on Uncertain Graphs, ICDE 2018: 1192-1203. (CCFA). Zhang, Y. Zhang, L. Qin, W. Zhang, X. LIN, Efficient Reinforcing Social Networks over User Engagement and Tie Strength, ICDE 2018: 557-568. (CCFA). Qin, Y. Wang, C. Xiao, W. Wang, X. LIN, Y. Ishikawa, GPH: Similarity Search in Hamming Space, ICDE 2018: 29-40. (CCFA). Li, M. Qiao, L. Qin, Y. Zhang, L. Chang, X. LIN, Exacting Eccentricity for Small-World Networks, ICDE 2018: 785-796. (CCFA). Zhu, L. Yuan, F. Zhang, L. Qin, X. LIN, W. Zhang, External Topological Sorting in Large Graphs, DASFAA 2018: 203-220.. Ouyang, L. Yuan, F. Zhang, Q. Lu, X. LIN, Towards Efficient Path Skyline Computation in Bicriteria Networks, DASFAA 2018: 239-254.. Li, Y. Zhang, Y. Sun, W. Wang, I. W. Tsang, X. LIN, An Efficient Exact Nearest Neighbor Search by Compounded Embedding, DASFAA 2018: 37-54.. Wang, Y. Zhang, X. LIN, M.A. Cheema, Maximize Spatial Influence of Facility Bundle Considering Reverse k Nearest Neighbors, DASFAA 2018: 684-700.. Liu, Z. Liu, I. W. Tsang, W. Zhang, X. LIN, Doubly Approximate Nearest Neighbor Approximation, AAAI 2018: 3683-3690. (CCFA). Yuan, L. Qin, X. LIN, L. Chang, W. Zhang, Effective and Efficient Dynamic Graph Coloring, VLDB 2018.11(3): 338-351(2018). (CCFA). Wen, L. Qin, L. Chang, Y. Zhang, X. LIN, Efficient Structural Graph Clustering: An Index-Based Approach, VLDB 2018.11(3): 243-255(2018). (CCFA). Wen, L. Qin, Y. Zhang, X. LIN, J. Yu, I/O Efficient Core Graph Decomposition: Application to Degeneracy Ordering, TKDE, 31(1): 75-90(2018) (Best Paper Award in ICDE 2016). (CCFA). Yuan, L. Qin, X. LIN, L. Chang, W. Zhang, I/O Efficient ECC Graph Decomposition via Graph Reduction, VLDBJ 26, 275-300(2017). (CCFA). Wang, Y. Zhang, W. Zhang, X. LIN, Efficient Distance-Aware Influence Maximization in Geo-social Networks, TKDE 29(3): 599-612(2017). (CCFA). Wang, Y. Zhang, W. Zhang, X. LIN, C. Chen, Bring Order into the Samples: A Novel Scalable Method for Influence Maximization, TKDE, 29(2): 243-256(2017). (CCFA). Wang, Wenjie Zhang, Ying Zhang, XUEMIN LIN, Zengfeng Huang, Top-k Spatial keyword Publish/Subscribe Over Sliding Window, VLDBJ 26(3): 301-326, 2017. (CCFA). Lu, Z. Gong, X. LIN, A Novel and Fast SimRank Algorithm, TKDE 29(30: 572-585, 2017. (CCFA). Yang, M.A. Cheema, X. LIN, Y. Zhang, W. Zhang, Reverse k nearest neighbors queries and spatial reverse top-k queries, VLDB Journal VLDBJ 26(2):151-176, 2017. (CCFA). Wang, W. Zhang, L. Wu, X. LIN, X. Zhao, Unsupervised Metric Fusion over Multi-view Data by Graph Random Walk based Cross-view Diffusion, IEEE Transactions on Neural Networks and Learning Systems TNNLS 28(1): 57-70, 2017. (CCFA). Wang, Y. Zhang, W. Zhang, X. LIN, W. Wang, AP-Tree: Efficiently Support Location-aware Publish/Subscribe, VLDBJ 26(3): 301-326, 2017. (CCFA). Huang, XUEMIN LIN, Wenjie Zhang, Ying Zhang, Efficient Matrix Sketching over Distributed Data, PODS 2017: 347-359. (CCFA). Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, XUEMIN LIN, When Engagement Meets Similarity: Efficient (k, r)-Core Computation on Social Networks, to appear in VLDB 2017. (CCFA). Li, Junjie Yao, Liping Wang, XUEMIN LIN, SPOT: Selecting occupations from Trajectories, to appear in SIGIR 2017. (Short Paper) (CCFA). Wang, Lu Qin, XUEMIN LIN, Ying Zhang, Lijun Chang, Leveraging Set Relations in Exact Set Similarity Join, VLDB 10(9): 925-936, 2017. (CCFA). Gao, X. Cao, G. Cong, J. Lu, X. LIN, Distributed Algorithms on Exact Personalized PageRank, SIGMOD 2017: 479-494. (CCFA). Chang, Chen Zhang, Xuemin Lin, Lu Qin Scalable Top-K Structural Diversity Search (Short Paper), ICDE 2017: 95-98. (CCFA). Zhang, Y. Zhang, L. Qin, W. Zhang, X. LIN, Finding Critical Users for Social Network Engagement: The Collapsed k-Core Problem, AAAI 2017: 245-251. (CCFA). Zhang, Wenjie Zhang, Ying Zhang, Lu Qin, XUEMIN LIN, OLAK: An Efficient Algorithm to Prevent Unravelling in Social Networks, VLDB 10(6): 649-660, 2017. (CCFA). Yang, Wenjie Zhang, Ying Zhang, XUEMIN LIN, TT-Join: Efficient Set Containment Join, ICDE: 509-520, 2017. (CCFA). Zhang, Zengfeng Huang, Zhewei Wei, Wenjie Zhang, XUEMIN LIN, Tracking Matrix Approximations over Distributed Sliding Windows, ICDE: 833-844, 2017. (CCFA). Lai, Q. Lu, X. LIN, Y. Zhang, L. Chang, S. Yang, Scalable Distributed Subgraph Enumeration, to appear in VLDB 2017. (CCFA). Wang, Y. Zhang, W. Zhang, X. LIN, Efficient Identification of Local Keyword Patterns in Microblogging Platforms, IEEE Transactions on Knowledge and Data Engineering TKDE 28(10): 2621-2634, 2016. (CCFA). Song, J. Wang, X. Zhu, X. LIN, J. Sun, Efficient Recovery of Missing Events, IEEE Transactions on Knowledge and Data Engineering TKDE 28(11): 2943-2957, 2016. (CCFA). Zhang, X. LIN, Y. Zhang, K. Zhu, G. Zhu, Efficiently Probabilistic Supergraph Search, IEEE Transactions on Knowledge and Engineering TKDE 28(4): 965-978, 2016. (CCFA). Zhou, J. Qin, W. Wang, C. Xiao, X. LIN, BEVA: An Efficiently Query Processing Algorithm for Error Tolerant Autocompletion, ACM TODS 41(1): 5:1-5:44, 2016. (CCFA). Yuan, L. Qin, X. LIN, L. Chang, W. Zhang, Diversified Top-K Clique Search, VLDBJ 25(2): 171-196, 2016. (CCFA). Yu, H. Wang, X. LIN, M. Wang, Understanding Short Texts through Semantic Enrichment and Hashing, IEEE Transactions on Knowledge and Data Engineering TKDE 28(2): 566-579, 2016. (CCFA). Wang, Y. Zhang, W. Zhang, X. LIN, Z. Huang, SKYPE: Top-k Spatial-keyword Publish /Subscribe Over Sliding Window, VLDB 9(7): 588-599, 2016. (CCFA). Yuan, L. Qin, X. LIN, L. Chang, W. Zhang, I/O Efficient ECC Graph Decomposition via Graph Reduction, VLDB 9(7): 516-527, 2016. (CCFA). Lyu, L. Qin, X. LIN, L. Chang, J.X. Yu, Scalable Supergraph Search in Large Graph Databases, ICDE 2016: 157-168. (CCFA). Feng, L. Chang, X. LIN, L. Qin, W. Zhang, Computing Connected Components with Linear Communication Cost in Pregel-like Systems, ICDE 2016: 85-96. (CCFA). Chang, W. Li, X. LIN, L. Qin, W. Zhang, pScan: Fast and Exact Structural Graph Clustering, ICDE 2016: 253-264. (CCFA). Yang, Y. Zhang, W. Zhang, X. LIN, Influence based cost optimization on user preference, ICDE 2016: 709-720. (CCFA). Wang, Y. Zhang, W. Zhang, X. LIN, Distance-Aware Influence Maximization in Geosocial Network, ICDE 2016: 1-12. (CCFA). Wang, M. Cheema, X. LIN, Y. Zhang, D. Liu, Efficiently Computing Reverse k Furthest Neighbors, ICDE 2016: 1110-1121. (CCFA). Choi, J. Pei, X. LIN, Finding the Minimum Spatial Keyword Cover, ICDE 2016: 685-696. (CCFA). Wen, L. Qin, Y. Zhang, X. LIN, J.X. Yu, I/O Efficient Core Graph Decomposition at Web Scale, ICDE 2016: 133-144. (Best Paper Award) (CCFA). Zhang, X. LIN, Y. Zhang, K. Zhu, G. Zhu, Efficient Probabilistic Supergraph Search (ICDE/TKDE Poster), ICDE 2016: 1542-1543. (CCFA). Zheng, H. Wang, X. LIN, M. Wang, Understanding Short Texts through Semantic Enrichment and Hashing (ICDE/TKDE Poster), ICDE 2016: 1552-1553(CCFA). Wang, X. LIN, L. Wu, W. Zhang, X. Huang, Q. Zhang, Robust Subspace Clustering for Multi-view Data by Exploiting Correlation Consensus, IEEE Transactions on Image Processing TIP 24(11): 3939-3949, 2015. (CCFA). Zhang, L. Zhan, W. Zhang, X. LIN, Finding Top k Most Influential Spatial Facilities over Uncertain Objects, IEEE Transactions on Knowledge and Data Engineering TKDE 27(12): 3289-3303, 2015. (CCFA). Yang, A.M. Cheema, and X. LIN, Impact Set: Computing Influence Using Query Log, Computer Journal 58(11): 2928-2943, 2015. (CCFA). Zhang, J.X. Yu, L. Qin, L. Chang, X. LIN, I/O Efficiently: Computing SCCs in Massive Graphs, VLDB Journal 24(2): 245-270, 2015. (CCFA). Yu, Xuemin LIN, Wenjie Zhang, J. A. McCann, Fast All-Pairs SimRank Assessment on Large Graphs and Bipartite Domains, IEEE Transactions on Knowledge and Data Engineering TKDE 27(7): 1810-1823, 2015. (CCFA). Wang, Muhammad Aamire Cheema, Xuemin LIN, Efficiently Monitoring Reverse k Nearest Neighbors in Spatial Networks, Computer Journal 58(1): 40-56, 2015.. Chen, Xiang Zhao, XUEMIN LIN, Towards Frequent Subgraph Mining on Single Large Uncertain Graphs, ICDM 2015: 41-50.. Zhan, Ying Zhang, Wenjie Zhang, Xiaoyang Wang, XUEMIN LIN, Range Search on Uncertain Trajectories, CIKM 2015: 921-930.. Wang, XUEMIN LIN, Lin Wu and Wenjie Zhang, Effective Multi-Query Expansions: Robust Landmark Retrieval, ACM MM 2015: 79-88. (CCFA). Yu, H. Wang, X. LIN, M. Wang, Learning Term Embeddings for Hypernymy Identification, IJCAI 2015: 1390-1397.. Wang, X. LIN, L. Hu, W. Zhang, LBMCH: Learning Bridging Mapping for Cross-modal Hashing, SIGIR 2015: 999-1002 (short paper) (CCFA). Wang, Y. Zhang, W. Zhang, X. LIN, M. A. Cheema, Optimal Spatial Dominance: An Effective Search of Nearest Neighbor Candidates, SIGMOD 2015: 923-938. (CCFA). Chang, X. LIN, Q. Lu, J. X. Yu, W. Zhang, Index-based Optimal Algorithms for Computing Steiner Components with Maximum Connectivity, SIGMOD 2015: 459-474. (CCFA). Lai, L. Qin, X. LIN, L. Chang, Scalable Subgraph Enumeration in MapReduce, VLDB 2015 8(10): 974-985. (CCFA). Chang, X. LIN, Q. Lu, J.X. Yu, J. Pei, Efficiently Computing Top-k Shortest Path Join, EDBT 2015: 133-144.. Bi, L. Chang, W. Zhang, X. LIN, Efficient String Similarity Search, DASFAA 2015: 545-564.. Han, L. Wang, Y. Zhang, W. Zhang, X. LIN, Spatial Keyword Range Search on Trajectories, DASFAA 2015: 223-240.. Chang, X. LIN, W. Zhang, J.X. Yu, Y. Zhang, L. Qin, Optimal Enumeration: Efficient Top-k Tree Matching, VLDB 2015 8(5): 533-544. (CCFA). Yang, M.A., Cheema, X. LIN, W. Wang, Reverse k Nearest Neighbors Query Processing: Experiments and Analysis, VLDB 2015 8(5): 605-616. (CCFA). Wang, S. Song, X. LIN, X. Zhu, J. Pei, Clean Structured Even Logs: A Graph Repair Approach, ICDE 2015: 30-41. (CCFA). Yuan, Lu. Qin, X. LIN, L. Chang, W. Zhang, Diversified Top-K Clique Search, ICDE 2015: 387-398. (CCFA). Wang, Y. Zhang, W. Zhang, X. LING, W. Wang, AP-Tree: Efficiently Support Continuous Spatial-Keyword Queries Over Stream, ICDE 2015: 1107-1118. (CCFA). Cheema, X. LIN, H. Wang, J. Wang, W. Zhang, A Unified Framework for Answering k Closest Pairs Queries and Variants, IEEE Transactions on Knowledge and Data Engineering 26(11):2610-2624, (2014). . 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 (2014).. Zhang, Wenjie Zhang, Qianlu Lin, Xuemin LIN, Heng Tao Shen, Effectively Indexing the Multi-dimensional Uncertain Objects, TKDE 26(3): 608-622, 2014. (CCFA). Zhang, Wenjie Zhang, Jian Pei, XUEMIN LIN, Qianlu Lin, Aiping Li, Consensus- based Ranking of Multi-valued Objects: A Generalized Borda Count Approach, TKDE 26(1): 83-96 (2014). (CCFA). Cheng, Xiaoming Jin, Jian-Tao Sun, XUEMIN LIN, Xiang Zhang, and Wei Wang, Searching Dimension Incomplete Databases, TKDE 26(3): 725-738, 2014. (CCFA). Shen, Muhammad A. 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 (TKDE) 26(6): 1349-1366, 2014. (CCFA). Wang, Y. Zhang, W. Zhang, X. LIN, Efficiently Identify Local Frequent Keyword Cooccurrence Patterns in Geo-tagged Twitter Stream, SIGIR 2014 (short paper): 1215-1218. (CCFA). Wang, X. LIN, L. Wu, W. Zhang, Q. Zhang, Exploiting Correlation Consensus: Towards Subspace Clustering for Multi-modal data, MM 2014 (short paper). (CCFA). Qu, J.X. Yu, L. Chang, H. Cheng, C. Zhang, X. LIN, Scalable Big Graph Processing in MapReduce, SIGMOD 2014: 827-838. (CCFA). Zhang, W. Zhang, X. LIN, M. A. Cheema, C. Zhang, Matching Dominance: Capture the Semantics of Dominance for Multi-dimensional Uncertain Objects, SSDBM 2014: 18.. Han, L. Chang, W. Zhang, X. LIN, L. Wang, Efficiently Retrieving Top-k Trajectories by Locations via Traveling Time, ADC 2014: 122-134.. Zhao, C. Xiao, W. Zhang, X. LIN, Improving Performance of Graph Similarity Joins Using Selected Substructures, DASFAA 2014 (1): 156-172.. Zhan, Y. Zhang, W. Zhang, X. LIN, Identifying Top k Dominating Objects over Uncertain Data, DASFAA 2014 (1): 388-405.. Wang, J. Pei, X. LIN, Q. Zhang, W. Zhang, An iterative fusion approach for graph based semi-supervised learning from multi-views, PAKDD 2014 (2): 162-173.. Wang, X. LIN, Q. Zhang, Shifting Hypergraphs by probabilistic Voting, PAKDD 2014 (2): 234-246. (Best Paper Runner-Up Award). Yu, X. LIN, W. Zhang, Fast Incremental SimRank on Link-Evolving Graphs, ICDE 2014: 304-315. (CCFA). Yang, M.A. Cheema, X. LIN, Y. Zhang, SLICE: Reviving Regions-Based Pruning for Reverse k Nearest Neighbors Queries, ICDE 2014: 760-771. (CCFA). Cheema, Z. Shen, X. LIN, W. Zhang, A Unified Framework for Efficiently Processing Ranking Related Queries, EDBT 2014: 427-438.. Zhang, Y. Zhang, W. Zhang, X. LIN, M.A. Cheema, X. Wang, Diversified Spatial Keyword Search on Road Networks, EDBT 2014: 367-378.. Zhao, Chuan Xiao, Xuemin LIN, Qing Liu, Wenjie Zhang, A Partition-Based Approach to Structure Similarity Search, 7(3): 169-180, 2013 (for VLDB 2014). (CCFA). Yu, Xuemin LIN, Wenjie Zhang, Lijun Chang, Jian Pei, More is Simpler: Effectively and Efficiently Assessing Node-Pair Similarity based on Hype-links. PVLDB 7(1): 13-24, 2013 (for VLDB 2014). (CCFA). Qin, Wei Wang, Yifei Lu, Chuan Xiao, Xuemin LIN, Haixun Wang, Asymmetric Signature Schemes for Efficient Exact Edit Similarity Query Processing, TODS 38(3):. (2013). (CCFA). Zhao, Chuan Xiao, Xuemin LIN, Wei Wang, Y. Ishikawa, Efficient Processing of Graph Similarity Queries with Edit Distance Constraints, VLDBJ, 22(6): 727-752 (2013). (CCFA). Zhu, Lu Qin, Jeffrey Yu, Yiping Ke, XUEMIN LIN, High Efficiency and Quality: Large Graphs Matching, VLDBJ 22(3): 345-368 (2013). (CCFA). Jiang, Jian Pei, Yufei Tao, XUEMIN LIN, Clustering Uncertain Data based on Probability Distribution Similarity, TKDE 25(4): 751-763 (2013). (CCFA). Lin, Ying Zhang, Wenjie Zhang, Xuemin Lin, Efficient General Spatial Skyline Computation, WWW Journal 16(3): 247-270 (2013).. Liu, Xiang Zhao, Kerry Taylor, Xuemin LIN, Geoffrey Squire, Corne Kloppers, Richard Miller: Towards semantic comparison of multi-granularity process traces. Knowl.-Based Syst. 52: 91-106 (2013). . Wang, Jianbin Qin, Chuan Xiao, XUEMIN LIN, Hengtao Shen, VChunkJoin: An Efficient Algorithm for Edit Similarity Joins, IEEE Transactions on Knowledge and Data Engineering (TKDE) 25(8): 1916-1929 (2013). (CCFA). 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.. Wang, Xuemin LIN, Qing Zhang, Towards Metric Fusion on Multi-view Data: A Cross based Graph Random Walk Approach. CIKM2013 (short paper) 805-810.. Wang, Shouxu Song, Z. Zhu, Xuemin LIN, Efficient Recovery of Missing Events, PVLDB 6(10): 841-852 (2013) (for VLDB 2013). (CCFA). Yu, Xuemin LIN, IRWR: Incremental Random Walk with Restart, SIGIR 2013: 1017-1020 (short paper). (CCFA). Chang, Jeffrey Xu Yu, Lu Qin, Xuemin LIN, Chenfei Liu, W. Liang, Efficiently Computing k-Edge Connected Components via Graph Decomposition, SIGMOD 2013: 205-216. (CCFA). Zhang, Je_ry Xu Yu, Lu Qin, Lijun Chang, Xuemin LIN, I/O Efficient: Computing SCCs in Massive Graphs, SIGMOD 2013: 181-192. (CCFA). Liu, Kerry Taylor, Xiang Zhao, G. Squire, Xuemin LIN, C. Kloppers, R. Miller, CTrace: Semantic Comparison of Multi-Granularity Process Traces, SIGMOD 2013: 1121-1124 (demo). (CCFA). Lin, Y. Zhang, W. Zhang, X. LIN, AVR-Tree: Speeding up the Nearest Neighbor Join based Queries, DASFAA (1) 2013: 116-130.. Zhao, H. Shang, W. Zhang, X. LIN, On Efficient Graph Substructure Selection, DASFAA (2) 2013: 284-300.. Cheema, XUEMIN LIN, Wenjie Zhang, Ying Zhang, A Safe Zone Based Approach for Monitoring Moving Skyline Queries, EDBT 2013: 275-286.. Zhang, Penjie Ye, XUEMIN LIN, Ying Zhang, Skyline Probability over Uncertain Preferences, EDBT 2013: 395-405.. Wang, Muhammad Cheema, XUEMIN LIN, Qing Zhang, Multi-Manifold Ranking: Using Multiple Features for Better Image Retrieval, PAKDD (2) 2013: 449-460.. Yu, XUEMIN LIN, Wenjie Zhang, Towards Efficient Computation on SimRank Computation on Large Graphs, ICDE 2013: 601-612. (One of the Best Papers) (CCFA). Zhang, Ying Zhang, Wenjie Zhang, XUEMIN LIN, Inverted Linear Quadtree: Efficient Top K Spatial Keyword Search, ICDE 2013: 901-912. (CCFA). Gao, Cheqing Jin, Wei Wang, XUEMIN LIN, Aoying Zhou, Similarity Query Processing for Probabilistic Sets, ICDE 2013: 913-924. (CCFA). Lin, Yannis Manolopoulos, Divesh Srivastava, Guangyan Huang (Eds.): Web Information Systems Engineering - WISE 2013 - 14th International Conference, Nanjing, China, October 13-15, 2013, Proceedings, Part II. Springer 2013 Lecture Notes in Computer Science ISBN 978-3-642-41153-3.. Ma, Rui Zhang, Xuemin Lin, Gang Chen. DuoWave: Mitigating the curse of dimensionality for uncertain data. Data and Knowledge Engineering (TDKE), 76: 16-38, 2012. (CCFA). Zhang, Muhammad Aamir Cheema, Ying Zhang, Xuemin LIN, Skyline: Stacking Optimal Solutions in Exact and Uncertain Worlds, International Journal of Software and Informatics 6(4): 475-493 (2012). (invited paper). Zhang, XUEMIN LIN, Ying Zhang, Muhammad A. Cheema, Qing Zhang, "Stochastic Skylines", TODS 37(2): 14 (2012). (CCFA). A. Cheema, Wenjie Zhang, XUEMIN LIN, Ying Zhang "Efficiently Processing Snapshot and Continuous Reverse k Nearest Neighbors Queries", VLDB Journal (VLDBJ) 21(5): 703-728 (2012). (CCFA). Wang, Lin Wu, Xiaodi Huang, XUEMIN LIN, Human Action Recognition from Video Sequences by Enforcing Tri-view Constraints, The Computer Journal 55(9): 1030-1040 (2012).. A. Cheema, Wenjie Zhang, XUEMIN LIN, Ying Zhang, Xuefei Li, Continuously Reverse k Nearest Neighbors Queries in Euclidean Space and in Spatial Networks, VLDB Journal (VLDBJ) 21(1), 69-95, 2012. (CCFA). Zhang, X. LIN, Y. Tao, W. Zhang, H. Wang, Efficient Computing of Range Aggregates against Uncertain Location based Queries, IEEE Transactions on Knowledge and Data Engineering (TKDE) 24(7): 1244-1258 (2012). (CCFA). Yu, W. Zhang, X. LIN, Q. Zhang, J. Le, A Space and Time Efficient Algorithm for SimRank Computation, WWW Journal 15(3): 3270353 (2012).. Jiang, J. Pei, X. LIN, Y. Yuan, Probabilistic Skylines on Uncertain Data: Model and Bounding-Pruning-Refining Methods, Journal of Intelligent Information Systems 38(1): 1-39(2012). . Zhan, Y. Zhang, X. LIN, W. Zhang, Finding Top k Most Influential Spatial Facilities Over Uncertain Objects, CIKM 2012: 922-931.. Shen, M.A. Cheema, X. LIN, Loyalty-based Selection: Retrieving Objects That Persistently Satisfy Criteria, CIKM 2012: 2189-2193. (short paper). Yu, XUEMIN LIN, Wenjie Zhang, Ying Zhang, Jiajin Le, "SimFusion+: Extending SimiFusion Towards Efficient Estimation on Large Dynamic Networks", SIGIR 2012: 365-374. (CCFA). Yu, Jiajin Le, XUEMIN LIN, Wenjie Zhang. "On the Efficiency of Estimating Penetrating Rank on Large Graphs", SSDBM 2012, LNCS, 231-249. Zhu, XUEMIN LIN, Ke Zhu, Wenjie Zhang, Jeffrey Xu Yun, "TreeSpan: Efficiently Computing Similarity All-Matching", SIGMOD 2012: 529-540. (CCFA). Zhang , Wenjie Zhang, Qianlu Lin, XUEMIN LIN , Effectively Indexing the Multi-Dimensional Uncertain Objects for Range Searching EDBT 2012: 504-515.. Zhu, K. Zhu, W. Zhang, X. LIN, C. Xiao, Efficient Subgraph Similarity Matching, DASFAA (1) 2012: 455-469 (Best Student Paper Award).. Zhang, J. Xu, X. Liang, Y. Zhang, X. LIN, Top-k Similarity Join Over Multi-valued Objects, DASFAA (1) 2012: 509-525.. Shen, Muhammad Aamir Cheema, XUEMIN LIN, Wenjie Zhang, Haixun Wang, Efficiently Monitoring Top-k Pairs over Sliding Windows, ICDE 2012: 798-809. (one of the Best Papers). (CCFA). Zhao, Chuan Xiao, XUEMIN LIN, Wei Wang, Efficient Graph Similarity Joins with Edit Distance Constraints, ICDE 2012: 834-845. (CCFA). Xiao, Wei Wang, XUEMIN LIN, Jeffrey Xu Yu, Guoren Wang: Efficient Similarity Joins for Near Duplicate Detection. ACM Transactions on Database Systems (TODS), 36(3), 2011. (CCFA). Luo, W. Wang, X. LIN, X. Zhou, J. Wang, K. Li, SPARK2: Top-k Keyword Query in Relational Databases, IEEE Transactions on Data Engineering (TKDE 23(12): 1763-1780 (2011). (CCFA). Aamir Cheema, Ljiljana Brankovic, Xuemin LIN, Wenjie Zhang, Wei Wang, Continuous Monitoring of Distance Based Range Queries, IEEE Transactions on Knowledge and Data Engineering (TKDE 23(8): 118201199 (2011). (CCFA). Zhang, W. Zhang, X. LIN, J. Pei, B. Jiang, Ranking Uncertain Sky: the Probabilistic Top-k Skyline Operator, Information Systems 36(5): 898-915 (2011).. Hua, J. Pei, X. LIN, Ranking Queries on Uncertain Data, VLDB Journal 20(1): 129-153 (2011). (CCFA). Zhu, Lu Qin, Jeffrey Xu Yu, Yiping Ke, XUEMIN LIN, High Efficiency and Quality: Large Graphs Matching, CIKM 2011: 1755-1764.. Peng, L. Zou, L. Chen, X. LIN, D. Zhao, Subgraph Search Over Massive Disk Resident Graphs, SSDBM 2011: 312-321.. Qin, W. Wang, Y. Lu, C. Xiao, X. LIN, Efficient Exact Edit Similarity Query Processing with Asymmetric Signature Schemes, SIGMOD 2011: 1033-1044 (one of the Best Papers). (CCFA). LIN, Y. Zhang, W. Zhang, M. A. Cheema, Stochastic Skyline Operator, ICDE 2011: 721-732. (CCFA). A. Cheema, X. LIN, W. Zhang, Y. Zhang, Influence Zone: Efficiently Processing Reverse k Nearest Neighbors Queries, ICDE 2011: 577-588. (CCFA). A. Cheema, X. LIN, H. Wang, J. Wang, W, Zhang, A Unified Approach for Computing Top-k Pairs in Multidimensional Space, ICDE 2011: 1031-1042. (CCFA). Zhu, W. Zhang, G. Zhu, Y. Zhang, X. LIN, BMC: An Efficient Method to Evaluate Probabilistic Reachability Queries, DASFAA (1) 2011: 434-449.. Hasan, M. A. Cheema, X. LIN, W. Zhang, A Unified Algorithm for Continuous Monitoring of Spatial Queries , DASFAA (2) 2011: 104-118.. Zhang, X. LIN, W. Zhang, J. Wang, Q. Lin, Effectively Indexing the Uncertain Space, IEEE Transactions on Knowledge and Data Engineering (TKDE 22(9): 1247-1261. (CCFA). Zhang, XUEMIN LIN, Ying Zhang, Jian Pei, Wei Wang, Threshold-based Probabilistic Top-k Dominating Queries, VLDB Journal 19(2): 283-305, 2010. (CCFA). Jin, K. Yi, L. Chen, J.X. Yu, X. LIN, Sliding-Window Top-k Queries on Uncertain Streams, VLDB Journal 19(3): 411-435, 2010. (CCFA). 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 (TKDE) 22(4): 550-564, 2010. (CCFA). Zhang, X. LIN, M, Kitsuregawa, X. Zhou, J. Yu, Y. Yuan, Duplicate-insensitive Order Statistics Computation over Data Streams, IEEE Transactions on Knowledge and Data Engineering (TKDE) 22(4): 493-507, 2010. (CCFA). Shang, X. LIN, Y. Zhang, J. X. Yu, W. Wang, Connected Substructure Similarity Search, SIGMOD: 903-914, 2010. (CCFA). Wang, J. Wang, X. LIN, W. Wang, H. Wang, H. Li, W. Tian, J. Xu, R. Li, MapDupReducer: Detecting Near Duplicates over Massive Datasets, SIGMOD: 1119-1122, 2010. (demo) (CCFA). Zhu, X. LIN, W. Zhang, W. Wang, H. Shang, PrefIndex: An Efficient Supergraph Containment Search Technique, SSDBM: 360-378, 2010.. Yu, X. LIN, J. Le, Taming Computational Complexity: Efficient and Parallel SimRank Optimizations on Undirected Graphs, WAIM: 280-296, 2010. Best Paper Runner-Up Award). Yu, X. LIN, J. Le, A Space and Time Efficient Algorithm for SimRank Computation, APWeb: 164-170, 2010. (Best Paper Award). Zhu, Y. Zhang, X. LIN, G. Zhu, and W. Wang NOVA: A Novel and Efficient Framework for Finding Subgraph Isomorphism Mappings in Large Graphs, DASFAA (1): 140-154, 2010.. Hasan, M. A. Cheema, W. Qu, X. LIN, Efficient Algorithms to Monitor Continuous Constrained k Nearest Neighbor Queries, DASFAA (1): 233-249, 2010.. Chang, J. X. Yu, L. Qin and X. LIN, Probabilistic Ranking over Relations, EDBT: 477-488, 2010.. Zhang, Y. Zhang, M. A. Cheema, X. LIN, Counting Distinct Objects over Sliding Windows, Australasian Database Conference 2010. Best Paper Award. Zhang, Xuemin LIN, Muhammad Aamir Cheema, Ying Zhang, Wei Wang, Quantile-Based KNN Over Multi-Valued Objects, ICDE: 16-27, 2010. (CCFA). Zhang, Xuemin LIN, Gaoping Zhu, Wenjie Zhang, Qianlu Lin, Efficient Rank Based KNN Processing over Uncertain Data, ICDE: 28-39, 2010. (CCFA). Aamir Cheema, Ljiljana Brankovic (NEWCSTLE), Xuemin LIN, Wenjie Zhang, Wei Wang, Multi-Guarded Safe Zone: An Efficient Technique to Monitor Moving Circular Range Queries, ICDE: 189-200, 2010 (one of the best papers to be invited for special issues of IEEE Transactions on Knowledge and Data Engineering TKDE). (CCFA). Shang, Ke Zhu, Xuemin LIN, Ying Zhang, Ryutaro Ichise, Similarity Search on Supergraph Containment, ICDE: 639-687, 2010. (CCFA). Hua, J. Pei, A. Fu, X.LIN, H.F. Leung, Top-k Typicality Queries and Efficient Query Answering Methods on Large Databases, VLDB Journal 18(3): 809-835, 2009. (CCFA). Aamir Cheema, XUEMIN LIN, Ying Zhang, Wei Wang, Wenjie Zhang, Lazy Updates: An E_cient Technique to Continuously Monitoring Reverse kNN, VLDB09, PVLDB 2(1): 1138-1149, 2009. (CCFA). Wang, C. Xiao, X. LIN, C. Zhang, Approximate Entity Extraction with Edit Constraints, SIGMOD09: 759-770, 2009. (CCFA). Chen, W. Wang, Z. Liu, X. LIN, Keyword Search on Structured and Semi-structured Data (tutorial), SIGMOD09: 1005-1010, 2009. (CCFA). Hasan, Muhammad Aamir Cheema, Xuemin LIN, Ying Zhang: Efficient Construction of Safe Regions for Moving kNN Queries over Dynamic Datasets (short paper), SSTD: 373-379, 2009.. Zhang, X. LIN, Y. Zhang, W. Wang, J.X. Yu, Probabilistic Skyline Operator over Sliding Windows, ICDE09: 1060-1071, 2009. (CCFA). Xiao, W. Wang, X. LIN, H. Shang, Top-k Set Similarity Joins, ICDE09: 916-927, 2009. (CCFA). Tao, Ling Ding, X. LIN, J. Pei, Distance-based Representative Skyline, ICDE09: 892-903, 2009. (CCFA). Zhang, X. LIN, Y. Tao, W. Zhang, Uncertain Location based Range Aggregates in a multi-dimensional space (short paper), ICDE09: 1247-1250, 2009. (CCFA). Yang, W. Zhang, Y. Zhang, X. Lin, Probabilistic Threshold Range Aggregate Query Processing over Uncertain Data, APWeb/WAIM: 51-62, 2009 (Best Paper Award).. Bouguettaya, Xuemin Lin: Database Technologies 2009, Twentieth Australasian Database Conference (ADC 2009), Wellington, New Zealand, 20-23 January, 2009, Proceedings Australian Computer Society 2009.. Wang, J. Li, W. Wang, X. LIN, Coding-based Join Algorithms for Structural Queries on Graph-Structured XML Document, 11(4), 485 - 510, World Wide Web Journal, 2008.. Wang, X.C. Yang, G.R. Wang, G. Yu, L. Chen, X.S. Wang, X. LIN, Continually Answering Constraint K-NN Queries in Unstructed P2P Systems, Journal of Computer Science and Technology, 23(4), 538-556, 2008.. Deng, X. Zhou, H.T. Shen, Q. Liu, K. Xu, X. LIN, A Multi-resolution Surface Distribution Model for k-NN Query Processing, VLDB Journal 17(5), 1101-1119, 2008. (CCFA). Liu, J. Yu, Y. Ke, X. LIN, L. Chen, Spotting Significant Changing Subgraphs in Evolving Graphs (Short Paper), ICDM: 193-204, 2008.. Shang, Y. Zhang, X. LIN, J. Yu, Taming Verification Hardness: an efficient algorithm for testing subgraph isomorphism, Proceedings of VLDB08 1(1): 364-375, 2008. (CCFA). Xiao, W. Wang, X. LIN, Ed-Join: An Efficient Algorithm for Similarity Joins With Edit Distance Constraints, Proceedings of VLDB 1(1): 131-140, 2008. (CCFA). Jin, K. Yi, L. Chen, J. Yu, X. LIN, Space-Efficient Synopses for Sliding-Window Top-k Queries on Uncertain Streams, Proceedings of VLDB08 1(1): 301-312, 2008. (CCFA). Jiang, J. Pei, X. LIN, D. Cheung, J. Han, Mining Preferences from Superior and Inferior Examples, SIGKDD08: 390-398, 2008. (CCFA). Pei, M. Hua, Y. Tao, and X. LIN. Mining Uncertain and Probabilistic Data: Problems, Challenges, Methods and Applications, pages 1357-1364, SIGKDD 08 (Tutorial) (CCFA). Hua, J. Pei, W. Zhang, X. LIN, Ranking Queries on Uncertain Data: A Probabilistic Threshold Approach, SIGMOD08: 673-686, 2008. (CCFA). Pei, M. Hua, Y. Tao, X. LIN, Query Answering Techniques on Uncertain and Probabilistic Data: tutorial summary, SIGMOD08: 1357-1364, 2008. (CCFA). Xiao, W. Wang, X. LIN, J.X. Yu, Efficient Similarity Joins for Near Duplicate Detection, WWW08: 131-140, 2008.. Chen, J.X. Yu, X. LIN, H. Wang, P.S. Yu, Fast Computing Reachability for Large Graphs with High Compression Rate, EDBT08: 193-204, 2008.. Hua, Jian Pei, Wenjie Zhang, Xuemin Lin: Efficiently Answering Probabilistic Threshold Top-k Queries on Uncertain Data (short paper), ICDE08: 1403-1405, 2008. (CCFA). Luo, Wei Wang, Xuemin LIN: SPARK: A Keyword Search Engine on Relational Databases (demo), ICDE08: 1552-1555, 2008. (CCFA). LIN, Y. Zhang: Aggregate Computation over Data Streams, APWeb 2008: 10-25. (Keynote Speech). Zhang, X. LIN, J. Pei, Y. Zhang: Managing Uncertain Data: Probabilistic Approaches, WAIM: 405-412, 2008. (Invited Paper). Missier, Xuemin Lin, Ander de Keijzer, Maurice van Keulen: Proceedings of the International Workshop on Quality in Databases and Management of Uncertain Data, Auckland, New Zealand, August 2008 QDB/MUD 2008.. Fekete, Xuemin Lin: Database Technologies 2008. Proceedings of the Nineteenth Australasian Database Conference, ADC 2008, January 22-25, 2008, Wollongang, NSW, Australia Australian Computer Society 2008.. LIN, Q. Zhang, Y. Yuan, and Q. Liu, Error Minimization in Approximate Range Aggregates, Data and Knowledge Engineering (TDKE) 62(1), 156-176, 2007. (CCFA). Pei, B. Jiang, X. LIN, and Y. Yuan, Probabilistic Skylines on Uncertain Data, In Proceedings of the 33rd International Conference on Very Large Data Bases, VLDB07: 23-28, 2007. (CCFA). Hua, J. Pei, A. W-C Fu, X. LIN, and H-F Leung, Efficiently Answering Top-k Typicality Queries on Large Databases, VLDB07: 23-28, 2007. (CCFA). Luo, X. LIN, W. Wang, X. Zhou, SPARK: Top-k Keyword Query in Relational Databases, SIGMOD07: 115-126, 2007. (CCFA). LIN, Y. Yuan, Q. Zhang, Y. Zhang, Selecting Stars: the k Most Representative Skyline Operator, ICDE07: 86-95, 2007. (CCFA). Pei, A.W-C. Fu, X. LIN, H. Wang, Computing Compressed Multidimensional Skyline Cubes Efficiently, ICDE07: 96-105, 2007. (CCFA). Ding, J.X. Yu, S. Wang, L. Qing, X. Zhang, X. LIN, Finding Top-k Min-Cost Connected Trees in Databases, ICDE07: 836-845, 2007. (Best Student Paper Award) (CCFA). Zhang, Xuemin LIN, Yidong Yuan, Masaru Kitsuregawa, Xiaofang Zhou, Jeffrey Xu Yu: Summarizing Order Statistics over Data Streams with Duplicates, ICDE07: 1329-1333, 2007. (CCFA). Cheema, Y. Yuan, X. LIN, Circular Trip: An Effective Algorithm for Continuous kNN Queries, 12th International Conference on Database Systems for Advanced Applications (short paper) DASFAA: 863-869, 2007.. LIN, Continuously Maintaining Order Statistics over Data Streams, the proceedings of 18th Australasian Database Conference, 7-10, 2007. (Invited Talk). Dong, X. LIN, W. Wang, Y. Yang, J.X. Yu The Proceedings of APweb/WAIM' 2007, LNCS, Springer-Verlag, 2007.. Pei, Y. Yuan, X. LIN, W. Jin, M. Ester, Q. Liu, W. Wang, Y. Tao, J.X. Yu, Q. Zhang, Towards Multidimensional Subspace Skyline Analysis, ACM Transactions on Database Systems (TODS) 31(4), 1335-1381, 2006. (CCFA). Xu, X. Zhou, X. LIN, H.T. Shen, and K. Deng, A Multi-Resolution Terrain Model for Efficient Visualization Query Processing, IEEE Transactions on Knowledge and Data Engineering (TKDE) 18(10):1382-1396, 2006. (CCFA). LIN, Q. Liu, H. Lu, Y. Yuan and X. Zhou, Summarizing Level-Two Topological Relations in Large Spatial Datasets, ACM Transactions on Database Systems (TODS), 31(2), 1-47, 2006. (CCFA). LIN, J. Xu, Q. Zhang, H. Lu, J.X. Yu, X. Zhou, Y. Yuan, Approximate Processing of Massive Continuous Quantile Queries over High Speed Data Streams, IEEE Transactions on Knowledge and Data Engineering (TKDE) 18(5), 683-698, 2006. (CCFA). Eades, Q. Feng, X. LIN, and H. Nagamochi, Straight-Line Drawing Algorithms for Hierarchical Graphs and Clustered Graphs, Algorithmica 44(1), 1-32, 2006.. Chong, J. X. Yu, Z. Zhang, X. LIN, W. Wang, A. Zhou, Efficient Computation of k-medians over Data Streams under Memory Constrains, Journal of Computer Science and Technology, 21(2), pp. 284-296, 2006.. Cheng, J.X. Yu, X. LIN, H. Wang, P.S. Yu, Fast Computation of Reachability Labeling for Large Graphs, EDBT: 961-979, 2006.. Zhang, X. LIN, J. Xu, F. Korn, W. Wang, Space-efficient Relative Error Order Sketch over Data Streams, ICDE06, full research paper, article 51, 10 pages, 2006. (CCFA). Deng, X. Zhou, H.T. Shen, K. Xu, X. LIN, Surface kNN Query Processing, ICDE06, full research papers, article 78, 10 pages, 2006. (CCFA). Wang, X. Yang, G. Wang, L. Chen, S.X. Sean, X. LIN, Continually Answering Constrained k-NN Queries in an Unstructured P2P System, DBISP2P'06 (VLDB'06 workshop): 397-405, 2006. . Yuan, X. LIN, Q. Liu, W. Wang, J.X. Yu, Q. Zhang, Efficient Computation of the Skyline Cube, VLDB05: 241-252, 2005. (CCFA). Wang, H. Wang, H. Lu, H. Jiang, X. LIN, J. Li, Efficient Processing of XML Path Queries Using the Disk-based F&B Index, VLDB05: 145-156, 2005. (CCFA). LIN, Y. Yuan, W. Wang, H. Lu, Stabbing the Sky: Efficient Skyline Computation over Sliding Windows, ICDE: 502-513, 2005. (CCFA). Liu, J.X. Yu, X. LIN, H. Lu, W. Wang, Where are the motifs in time-series data, PAKDD05: 343-353, 2005.. Luo, Zheng Liu, XUEMIN LIN, Wei Wang, Jeffrey Xu Yu, Similarity Search with Implicit Object Features, WAIM: 150-161, 2005.. Wang, Wei Wang, Jianzhong Li, XUEMIN LIN, Practical Indexing of XML Documents for Twig Queries, ASIAN: 208-222, 2005.. Wang, Wei Wang, XUEMIN LIN, Jianzhong Li, Subgraph Join: Efficient Processing Subgraph Queries on Graph-structured XML Document, WAIM: 68-80, 2005. Liu, X. LIN, Y. Yuan, Summarizing Spatial Relations - A Hybrid Histogram Technique, APweb05: 464-476, 2005. (Best Student Paper Award). Wang, W. Wang, X. LIN, J. Li, Labelling scheme and Structural join for Graph-Structured XML Data, APweb05: 277-289, 2005.. Wang, D.B. Do, X. LIN, Term Graph Model for Text Classification, ADMA2005: 19-30, 2005. (Invited Paper). LIN, Delay Optimizations in Quorum Consensus, Algorithmica 38(2), 397-413, 2004.. LIN, H. Lu, J. Xu, and J.X. Yu, Continuously Maintaining Quantile Summaries of the Most Recent N Elements over a Data Stream, ICDE04: 362-374, 2004. (CCFA). Xu, X. Zhou, and X. LIN, Direct Mesh: a Multiresolution Approach to Terrain Visualisation, ICDE04: 766-777, 2004. (CCFA). Zhang and X. LIN, Clustering Moving Objects for Spatio-temporal Selectivity Estimation, ADC04: 123-130, 2004. (Best Student Paper Award). Xu, X. LIN, and X. Zhou, Space Efficient Quantile Summary for Constrained Sliding Windows on a Data Stream, WAIM04: 34-44, 2004.. Luo, Hai-Xin Lu, and X. LIN, A Scalable and I/O Optimal Skyline Processing Algorithm, WAIM04: 218-288, 2004.. Yu, X. LIN, H. Lu, Y. Zhang, Advanced Web Technologies and Applications (the proceedings of APWeb'2004), LNCS 3007, Springer-Verlag, 2004.. Liu, X. LIN, M. Orlowska, and X. Zhou, Confirmation: Increasing Availability in Transactional Workflows, Information Science (153), 37-53, 2003.. LIN and P. Eades, Towards Area Requirements for Drawing Hierarchically Planar Graphs, Theoretical Computer Science, 292(3), 679-695, 2003.. LIN, Q. Liu, Y. Yuan, and X. Zhou, Multiscale Histograms: Summarizing Topological Relations in Large Spatial Datasets, VLDB03: 814-825, 2003.. LIN and Q. Zhang, Error Minimization for Approximate Computation of Range Aggregates, DASFAA: 165-172, 2003.. Lu, Y. Lu, X. LIN, An Optimal Divide-Conquer Algorithm for 2D-Skylines, ADBIS: 46-60, 2003.. Liu, Y. Yuan, and X. LIN, Multiresolution Algorithms for Building Spatial Histograms, ADC: 145-151, 2003.. LIN, H.X. Lu, Q. Zhang, Graph partition Based Multi-Way Spatial Joins, IDEAS: 23-32, 2002.. Zhang, X. LIN, On Linear-Spline Based Histograms, WAIM: 254-366, 2002.. Du, P. Eades, and X. LIN, Computing and Combinatorics, Theoretical Computer Science, 289(2), 2002.. LIN, Delay Optimizations in Quorum Consensus, ISAAC01: 575-586, 2001.. LIN, X. Zhou, C. Liu, and X. Zhou, Efficiently Computing Weighted Proximity Relationships in Spatial Databases, WAIM: 279-290, 2001.. Liu, M. Orlowska, X. LIN, X. Zhou, Improving Backward Recovery in Workflow Systems, DASFAA01: 276-283, 2001.. LIN, X. Zhou, and C. Liu, Efficient Computation of a Proximity Matching in Spatial Databases, Data and Knowledge Engineering, 33(1), 85-102, 2000.. LIN, On the Computational Complexity of Edge Concentration, Discrete Applied Mathematics, 101, 197-205, 2000.. Zhou, X. LIN, C. Liu, J. Cao, Spatial Query Processing Using Generalized Filter, International Journal of Cooperative Information Systems, 9(1-2), 77-91, 2000.. Eades and X. LIN, Spring Algorithms and Symmetry, Theoretical Computer Science, 240, 379-405, 2000.. Liu, X. Zhou, J. Cao, and X. LIN, Incremental Support of Global Update in OzGateway- a Cooperative Database System, Informatica, 24(1), 27-32, 2000.. Liu, X. LIN, X. Zhou, M. Orlowska, Repository Support for Workflow Systems, Journal of Applied Systems Science, 1(3), 2000.. Li, X. LIN, C. Tsang, An Efficient Distributed Algorithm for Computing Association Rules, WAIM: 109-120, 2000.. Du, P. Eades, V. Estivill-Castro, X. LIN, A. Sharma (ed), Computing and Combinatorics (the proceedings of COCOON'2000), LNCS 1858, Springer-Verlag, 2000.. LIN, Y. Li, and C.P. Tsang, Applying On-Line Bitmap Indexing to Reduce Counting Costs in Mining Association Rules, Information Sciences, 120, 197-208 1999.. LIN, X. Zhou, and C. Liu, Efficiently Matching Proximity Relationships in Spatial Databases, SSD99: 188-206 1999.. LIN and P. Eades, Area Minimization for Grid Representation of Hierarchically Planar Graphs, COCOON: 92-102, 1999.. Liu, M. Orlowska, X. LIN, and X. Zhou, Confirmation: A Solution for None Compen-satability in Workflow Applications, ICDE (post paper), 1999. (CCFA). Zhou, Y. Zhang, X. LIN, and C. Liu, On the Optimization of Complex Spatial Queries, CODAS: 252-263, 1999.. Liu, X. Zhou, J. Cao and X. LIN, Global Transaction Management in a Cooperative Database System, International Symposium on Database, Web and Cooperative Systems: 73-78, 1999. (best paper award). LIN, C. Liu, Y. Zhang and X. Zhou, Efficiently Computing Frequent Tree-Like Topology Patterns in a Web Environment, TOOLS(31): 440-447, 1999.. Liu, X. LIN, X. Zhou and M. Orlowska, Building a Repository for Workflow Systems, TOOLS(31): 348-357, 1999.. LIN, Y. Li, and C. P. Tsang, Reducing Counting Costs in Mining Association Rules by an On-Line Bitmap Index, 9th International Conference on Computing and Information: 3-9, 1998.. Li, X. LIN, and C. P. Tsang, An Efficient Algorithm for Mining Distributed Association Rules, International Conference on Parallel and Distributed Processing Techniques and Applications: 1169-1175, 1998.. C. Lin, X. LIN, and X. Zhou, Efficiently Mining Tree Traversal Patterns in a Web Environment, TENCOON: 115-118, 1998.. LIN and P. Eades, Area Requirements for Drawing Hierarchically Planar Graphs, Graph Drawing: 219-229, 1998.. LIN (ed), Computing Theory (the proceedings of CATS'98), Springer-Verlag, 1998.. LIN, A Fully Distributed Quorum Consensus Method with High Fault-Tolerance and Low Communication Overhead, Theoretical Computer Science, 185(2), 259-275, 1997.. Eades and X. LIN, Spring Algorithms and Symmetry, COCOON'97: 202-211, 1997.. LIN, On the Computational Complexity of Optimization of Edge Concentration in Bipartite Graphs, Australian Computer Science Communications (CATS) 19(2): 9-16,1997.. Eades, Q. Feng, and X. LIN, Straight-Line Drawing Algorithms for Hierarchical Graphs and Clustered Graphs, Graph Drawing: 113-128, 1997.. LIN and M. Orlowska, An Optimal Majority Voting Scheme for Minimizing the Overall Communication Cost in Replicated Data Management, Journal of Parallel and Distributed Computing, 35, 97-103, 1996.. Eades, X. LIN and R. Tamassia, An Algorithm for Drawing a Hierarchical Graph, International Journal of Computational Geometry and Applications, 6(2), 145-155, 1996.. LIN and J. Chen, An Optimal Deadlock Resolution Algorithm in Multi database Systems, 4th International Conference on Parallel and Distributed Systems, IEEE cs press, 516-521, 1996.. LIN and S. Fox, An Effective Parallelization of Execution of Multijoins in Multiprocessor Systems, International Symposium on Parallel Architectures, Algorithms, and Networks: 63-69, 1996.. LIN, A New Quorum Consensus Method with High Fault-Tolerance for Managing Replicated Data, CATS 18(3): 90-99, 1996.. LIN and M. Orlowska, An Efficient Processing of a Chain Join with the Minimum Communication Cost in Distributed Database Systems, Distributed and Parallel Databases, 3(1), 68-83, 1995.. LIN and M. Orlowska, An Integer Linear Programming Approach to Data Allocation with the Minimum Total Communication Cost in Distributed Database Systems, Information Sciences, Vol 85, 1995.. Eades and X. LIN, A Heuristic for the Feedback Arc Set Problem, The Australasian Journal of Combinatorics, 12, 15-26, 1995.. LIN and M. E. Orlowska, A Highly Fault-Tolerant Quorum Consensus Method for Managing Replicated Data, COCOON'95: 171-180 1995.. LIN, M. Orlowska and X. Zhou, Using Parallel Semi-Join Reduction to Minimize Distributed Query Response Time, International Conference on Algorithms and Architectures for Parallel Processing: 517-526, 1995.. Chen and X. LIN, Clustering Classes Through Graph Transformations, 5th International CASE Symposium: 211-216, 1995.. LIN, M. Orlowska and Y. Zhang, Database Placement in Communication Networks for Minimizing the Overall Transmission Cost, Mathematical and Computer Modelling, 19(1), 7-19, 1994.. LIN and M. Orlowska, An Efficient Algorithm for Minimizing the Overall Communication Cost in Replicated Data Management, 5th Annual International Symposium on Algorithms and Computation (ISAAC94): 246-254, 1994.. LIN, M. Orlowska and Y. Zhang, An Optimal Victim Selection Algorithm for Removing Global Deadlocks in Multidatabase Systems, Ninth Annual International Conference on Frontiers of Computer Technology: 501-505, 1994.. LIN, M. Orlowska and Y. Zhang, A Graph Based Cluster Approach for Vertical Partitioning in Database Design, Data and Knowledge Engineering, 11(2), 151-169, October, 1993.. Eades, T. Lin and X. LIN, Two Tree Drawing Conventions, International Journal of Computational Geometry and Applications, 3(2), 133-153, 1993.. Eades, X. LIN and W. F. Smith, A Fast and Effective Heuristic for the Feedback Arc Set Problem, Information Processing Letters, 47(6), 319-323, October, 1993.. Eades, X. LIN and N. Wormald, Performance Guarantees for Motion Planning with Temporal Uncertainty, Australian Computer Journal, 25(1), 21-29, 1993.. LIN, M. Orlowska and Y. Zhang, On Data Allocation with the Minimum Overall Communication Cost in Distributed Database Design, 5th International Conference on Computing and Information: 539-544, 1993.. LIN and Y. Zhang, A New Graphical Method for Vertical Partitioning in Database Design, Advances in Database Research: 131-144, 1993.. Eades, T. Lin and X. LIN, Minimum Size h-v Drawings, Advanced Visual Interfaces 1992: 386-394, 1992.. Eades and X. LIN, Notes on the Layer Assignment Problem for Drawing Directed Graphs, Australian Computer Science Conference: 1991.. Eades, T. Lin and X. LIN, Representing Trees by Rectangle Inclusion, Australian Computer Science Conference: 1991.. Eades, X. LIN and R. Tamassia, A New Approach for Drawing a Hierarchical Graph, Second Canadian Conference on Computational Geometry: 142-146, 1990.. Eades, X. LIN and N. Wormald, Performance Guarantees for Motion Planning with Temporal Uncertainty, Australian Computer Science Conference: 1990.. Eades and X. LIN, How to Draw a Directed Graph, IEEE Workshop on Visual Language: 13 -17, 1989..