Back to homepage

(Almost) Full Publication List:

In papers marked with "**", authors are ordered alphabetically, following the convention of theoretical computer science.
# indicates equal contributions (as joint first authors).

  1. Mengxu Jiang, Zhi Yang, Fangyuan Zhang, Yin Yang, Sibo Wang.
    Dynamic Graph Indexing for Label-Filtered Approximate Nearest Neighbor Search.
    Proceedings of the ACM on Management of Data, to appear (SIGMOD 2027).
     
  2. Guanhao Hou#, Dechuang Chen#, Qintian Guo, Fangyuan Zhang, Sibo Wang.
    Concurrent Path-Copying Update to Tree Structures.
    Proceedings of the ACM on Management of Data, 4(2): 153:1-153:27 (SIGMOD 2026).
    paper
     
  3. Joint work with Jinchao Huang and Yufei Tao.
    **Acyclic Join Sampling under Selections: Dichotomy, Union Sampling, and Enumeration.
    Proceedings of the 29th International Conference on Database Theory (ICDT), 9:1-9:20, 2026.
    paper
     
  4. Dechuang Chen, Sibo Wang, Qintian Guo.
    ACGraph: An Efficient Asynchronous Out-of-Core Graph Processing Framework.
    Proceedings of the ACM on Management of Data, 3(6): 290:1-290:26 (SIGMOD 2026).
    paper
     
  5. Haoming Xian, Qintian Guo, Jun Zhang, Sibo Wang.
    Optimal Approximate Matrix Multiplication over Sliding Windows.
    Proceedings of the VLDB Endowment (PVLDB), 19(3): 455-467 (VLDB 2026).
     
  6. Angela Bonifat, Yixiang Fang, Sibo Wang, Yingli Zhou.
    Graph-Based Retrieval-Augmented Generation: Applications, Challenges, Solutions, and Opportunities.
    Proceedings of the VLDB Endowment (PVLDB), 19(12): 4900-4905 (VLDB 2026) (Tutorial).
     
  7. Dechuang Chen#, Bing Chen#, Jianwei Lu, Zhiwei Wu, Zeyu Yang, Qiang Gu, Fangyuan Zhang, Sibo Wang, Zeyuan Yu, Caihua Yin, Wenchao Zhou, Feifei Li.
    Nova: A Multi-Purpose Vector Engine for Low-Latency, Multi-Tenant, and Cross-Table Hybrid Retrieval.
    Proceedings of the VLDB Endowment (PVLDB), 19(12): 4435-4465 (VLDB 2026).
     
  8. Chen Feng, Gongyao Guo, Yiran Li, Jieming Shi, Sibo Wang.
    Efficient Approximation Algorithms for Adaptive Minimum Cost Seed Selection via mRR-set Updates.
    Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), to appear, 2026.
     
  9. Kun Xie, Peng Zhou, Xingyi Zhang, Wei Liu, Peilin Zhao, Sibo Wang, Biaobin Jiang
    PoinnCARE: Hyperbolic Multi-Modal Learning for Enzyme Classification. 
    International Conference on Learning Representations (ICLR), 2026.
     
  10. Fangyuan Zhang, Qintian Guo, Junhao Gan, Sibo Wang.
    BOTBIN: Accelerated Indexing for Structural Graph Clustering on Dynamic Graphs. 
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 38(2): 911-928, 2026.
     
  11. Qintian Guo, Chen Feng, Jieming Shi, Jing Tang, Xiaofang Zhou, Sibo Wang.
    Efficient Algorithms for Budgeted Profit Maximization With Theoretical Guarantees.
    IEEE Transactions on Knowledge and Data Engineering (TKDE). 38(4): 2234-2248, 2026.
     
  12. Fangyuan Zhang, Mengxu Jiang, Guanhao Hou, Jieming Shi, Hua Fan, Wenchao Zhou, Feifei Li, Sibo Wang.
    Efficient Dynamic Indexing for Range Filtered Approximate Nearest Neighbor Search.
    Proceedings of the ACM on Management of Data, 3(3): 152:1-152:26 (SIGMOD 2025).
    paper
     
  13. Mengxu Jiang, Zhi Yang, Fangyuan Zhang, Guanhao Hou, Jieming Shi, Wenchao Zhou, Feifei Li, Sibo Wang.
    DIGRA: A Dynamic Graph Indexing for Approximate Nearest Neighbor Search with Range Filter.
    Proceedings of the ACM on Management of Data, 3(3): 148:1-148:26 (SIGMOD 2025).
    paper
     
  14. Chen Feng, Xingguang Chen, Qintian Guo, Fangyuan Zhang, Sibo Wang.
    Efficient Approximation Algorithms for Minimum Cost Seed Selection with Probabilistic Coverage Guarantee.
    Proceedings of the ACM on Management of Data, 2(4), 197:1-197:26, 2024 (SIGMOD 2025).
    paper
     
  15. Guanhao Hou, Jinchao Huang, Fangyuan Zhang, Sibo Wang. 
    Efficient Concurrent Updates to Persistent Randomized Binary Search Trees.
    Proceedings of the VLDB Endowment (PVLDB), 18(5): 1481-1494, 2025 (VLDB 2025).
    paper
     
  16. Fangyuan Zhang#, Caihua Yin#, Hua Fan, Fenghua Fang, Yineng Chen, Xuqi Wang, Mengqi Wu, Bing Chen, Tianbo Jin, Sibo Wang, Wenchao Zhou, Feifei Li. 
    AnalyticDB-PG: A Cloud-native High-performance Data Warehouse in Alibaba Cloud.
    Proceedings of the VLDB Endowment (PVLDB), 18(12): 5139-5152, 2025 (VLDB 2025).
    paper
     
  17. Jinchao Huang, Sibo Wang.
    DIPS: Optimal Dynamic Index for Poisson πps Sampling.
    Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2025(1), pages 520-531.
    paper
     
  18. Xiping Li, Xiangyu Dong, Xingyi Zhang, Kun Xie, Yuanhao Feng, Bo Wang, Guilin Li, Wuxiong Zeng, Xiujun Shu, Sibo Wang.
    Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection.
    Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2025(2), pages 1565-1576.
    paper
     
  19. Zhuowei Zhao, Junhao Gan, Boyu Ruan, Zhifeng Bao, Jianzhong Qi, Sibo Wang.
    Dynamic Structural Clustering Unleashed: Flexible Similarities, Versatile Updates and for All Parameters.
    Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2025(2), pages 3980-3991.
     
  20. Xiangyu Dong, Xingyi Zhang, Lei Chen, Mingxuan Yuan, Sibo Wang.
    SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels.
    International Conference on Learning Representations (ICLR), 2025.
    paper
     
  21. Xiangyu Dong, Xingyi Zhang, Yanni Sun, Lei Chen, Mingxuan Yuan, Sibo Wang.
    SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection.
    Proceedings of the ACM Web Conference (TheWebConf), 1225-1236, 2025.
    paper
     
  22. Kun Xie, Renchi Yang, Sibo Wang.
    Diffusion-based Graph-agnostic Clustering.
    Proceedings of the ACM Web Conference (TheWebConf), 1353-1364, 2025.
    paper
     
  23. Yusong Zhang#, Kun Xie#, Xingyi Zhang, Xiangyu Dong, Sibo Wang.
    Rumor Detection on Social Media with Reinforcement Learning-based Key Propagation Graph Generator.
    Proceedings of the ACM Web Conference (TheWebConf), 2742-2753, 2025.
    paper
     

  24. Xin Chen#, Wenqing Lin#, Haoxuan Xie, Sibo Wang, Siqiang Luo.
    Finding Near-Optimal Maximum Set of Disjoint k-Cliques in Real-World Social Networks.

    Proceedings of the IEEE International Conference on Data Engineering (ICDE), 3316-3328, 2025.
     

  25. Yiran Li, Gongyao Guo, Jieming Shi, Sibo Wang, Qing Li.
    Efficient Integration of Multi-View Attributed Graphs for Clustering and Embedding.

    Proceedings of the IEEE International Conference on Data Engineering (ICDE), 3863-3875, 2025.
     

  26. Jiajun Li, Runlin Lei, Sibo Wang, Zhewei Wei, Bolin Ding.
    Learning-based Property Estimation with Polynomials.
    Proceedings of the ACM on Management of Data, 2(3): 148:1-148:27, 2024 (SIGMOD 2024).
    paper
     

  27. Fangyuan Zhang, Dechuang Chen, Sibo Wang, Yin Yang, Junhao Gan.
    Scalable Approximate Butterfly and Bi-triangle Counting for Large Bipartite Networks.
    Proceedings of the ACM on Management of Data, 1(4), 259:1-259:26, 2023 (SIGMOD 2024).
    paper
     
  28. Xingguang Chen, Fangyuan Zhang, Jinchao Huang, Sibo Wang.
    Efficient Approximation Framework for Attribute Recommendation.
    Proceedings of the ACM on Management of Data, 1(4), 239:1-239:26, 2023 (SIGMOD 2024).
    paper
     
  29. Qintian Guo, Chen Feng, Fangyuan Zhang, Sibo Wang.
    Efficient Algorithm for Budgeted Adaptive Influence Maximization: An Incremental RR-set Update Approach.
    Proceedings of the ACM on Management of Data, 1(3), 207:1-207:26, 2023 (SIGMOD 2024).
    paper
     
  30. Fangyuan Zhang, Mengxu Jiang, Sibo Wang.
    Efficient Dynamic Weighted Set Sampling and Its Extension.
    Proceedings of the VLDB Endowment (PVLDB), 17(1): 15-27, 2023 (VLDB 2024).
    paper
     
  31. Xin Chen, Jieming Shi, You Peng, Wenqing Lin, Sibo Wang, Wenjie Zhang.
    Minimum Strongly Connected Subgraph Collection in Dynamic Graphs.
    Proceedings of the VLDB Endowment (PVLDB), 17(6): 1324-1336, 2024 (VLDB 2024).
    paper
     
  32. Xingyi Zhang, Zixuan Weng, Sibo Wang.
    Towards Deeper Understanding of PPR-based Embedding Approaches: A Topological Perspective.
    Proceedings of the ACM Web Conference (TheWebConf), 969-979, 2024.
    paper
     
  33. Xiangyu Dong, Xingyi Zhang, Sibo Wang.
    Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection.
    International Conference on Learning Representations (ICLR), 2024.
    paper
     
  34. Zulun Zhu, Siqiang Luo, Wenqing Lin, Sibo Wang, Dingheng Mo, Chunbo Li.
    Personalized PageRanks over Dynamic Graphs -- The Case for Optimizing Quality of Service.
    Proceedings of the IEEE International Conference on Data Engineering (ICDE), 409-422, 2024.
     
  35. Xingyi Zhang#, Jinchao Huang#, Fangyuan Zhang, Sibo Wang.
    FICOM: An Effective and Scalable Active Learning Framework for GNNs on Semi-supervised Node Classification.
    International Journal on Very Large Data Bases (VLDBJ), 33(5): 1723-1742, 2024.
     
  36. Xingguang Chen, Rong Zhu, Bolin Ding, Sibo Wang, Jingren Zhou.
    Lero: Applying Learning-to-Rank in Query Optimizer.
    International Journal on Very Large Data Bases (VLDBJ), 33(5): 1307-1331, 2024.
     
  37. Kun Xie#, Xiangyu Dong#, Yusong Zhang, Xingyi Zhang, Qintian Guo, Sibo Wang.
    Learning-based Attribute-Augmented Proximity Matrix Factorization for Attributed Network Embedding.
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 36(11): 6517-6531, 2024.
     
  38. Qintian Guo#, Dandan Lin#, Sibo Wang, Raymond Chi-Wing Wong, Wenqing Lin.
    Efficient Algorithms for Group Hitting Probability Queries on Large Graphs.
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 36(7): 2995-3008, 2024.
     
  39. Mingji Yang, Hanzhi Wang, Zhewei Wei, Sibo Wang, Ji-Rong Wen.
    Efficient Algorithms for Personalized PageRank Computation: A Survey.  
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 36(9): 4582-4602, 2024.
     
  40. Xingyi Zhang, Shuliang Xu, Wenqing Lin, Sibo Wang.
    Constrained Social Community Recommendation.
    Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pages 5586-5596, 2023.
    paper
     
  41. Xinyu Du, Xingyi Zhang, Sibo Wang, Zengfeng Huang.
    Efficient Tree-SVD for Subset Node Embedding over Large Dynamic Graphs.
    Proceedings of the ACM on Management of Data, 1(1): 96:1-96:26, 2023 (SIGMOD 2023).
    paper
     
  42. Kaixin Liu, Sibo Wang, Yong Zhang, Chunxiao Xing.
    An Efficient Algorithm for Distance-based Structural Graph Clustering.
    Proceedings of the ACM on Management of Data, 1(1): 45:1-45:25, 2023 (SIGMOD 2023).
    paper
     
  43. Guanhao Hou, Qintian Guo, Fangyuan Zhang, Sibo Wang, Zhewei Wei.
    Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme.
    Proceedings of the ACM on Management of Data, 1(1): 25:1-25:26, 2023 (SIGMOD 2023).
    paper
     
  44. You Peng, Jeffrey Xu Yu, Sibo Wang.
    PSPC: Efficient Parallel Shortest Path Counting on Large-Scale Graphs.
    Proceedings of the IEEE International Conference on Data Engineering (ICDE), pages 896-908, 2023.
     
  45. Fangyuan Zhang, Sibo Wang.
    Effective Indexing for Dynamic Structural Graph Clustering.
    Proceedings of the VLDB Endowment (PVLDB), 15(11): 2908-2920, 2022.
    paper
     
  46. Xingguang Chen, Fangyuan Zhang, Sibo Wang.
    Efficient Approximate Algorithms for Empirical Variance with Hashed Block Sampling.
    Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pages 157-167, 2022.
    paper
     
  47. Yanping Zheng, Hanzhi Wang, Zhewei Wei, Jiajun Liu, Sibo Wang.
    Instant Graph Neural Networks for Dynamic Graphs.
    Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pages 2605-2615, 2022.
    paper
     
  48. Qintian Guo, Sibo Wang, Zhewei Wei, Wenqing Lin, Jing Tang.
    Influence Maximization Revisited: Efficient Sampling with Bound Tightened.
    ACM Transactions on Database Systems (TODS), 47(3): 12:1-12:45, 2022.
    paper
     
  49. Xin Chen#, You Peng#, Sibo Wang, Jeffrey Xu Yu.
    DLCR: Efficient Indexing for Label-Constrained Reachability Queries on Large Dynamic Graphs.
    Proceedings of the VLDB Endowment (PVLDB),15(8): 1645-1657, 2022.
    paper / code
     
  50. You Peng, Song Bian, Rui Li, Sibo Wang, Jeffrey Xu Yu.
    Finding Top-r Influential Communities under Aggregation Functions.
    Proceedings of the IEEE International Conference on Data Engineering (ICDE), pages 1941-1954, 2022.
     
  51. Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Sibo Wang, Xuemin Lin, Liang Feng.
    Constrained Path Search with Submodular Function Maximization.
    Proceedings of the IEEE International Conference on Data Engineering (ICDE), pages 325-337, 2022.
     
  52. Xingyi Zhang, Kun Xie, Sibo Wang, Zengfeng Huang. 
    Learning Based Proximity Matrix Factorization for Node Embedding.
    Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pages 2243-2253, 2021.
    paper / code
     
  53. Hanzhi Wang, Mingguo He, Zhewei Wei, Sibo Wang, Ye Yuan, Xiaoyong Du, Ji-Rong Wen.
    Approximate Graph Propagation.
    Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pages 1686-1696, 2021.
    paper
     
  54. Xingguang Chen, Sibo Wang.
    Efficient Approximate Algorithms for Empirical Entropy and Mutual Information.
    Proceedings of the ACM Conference on Management of Data (SIGMOD), pages 274-286, 2021.
    paper
     
  55. Guanhao Hou, Xingguang Chen, Sibo Wang, Zhewei Wei
    Massively Parallel Algorithms for Personalized PageRank.
    Proceedings of the VLDB Endowment (PVLDB), 14(9): 1668-1680, 2021.
    paper
     
  56. Kaixin Liu, Sibo Wang, Yong Zhang, Chunxiao Xing.
    An Efficient Algorithm for the Anchored k-Core Budget Minimization Problem.
    Proceedings of the IEEE International Conference on Data Engineering (ICDE), pages 1356-1367, 2021.
     
  57. Yuqing Zhu, Jing Tang, Xueyan Tang, Sibo Wang, Andew Lim.
    2-hop+ Sampling: Efficient and Effective Influence Estimation.
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(2): 1088-1103, 2023 (Early Access 2021).
     
  58. Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang.
    Personalized PageRank to a Targeted Node, Revisited.
    Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pages 657-667, 2020.
    paper
     
  59. Yu Hao, Xin Cao, Yixiang Fang, Xike Xie, Sibo Wang.
    Inductive Link Prediction for Nodes Having Only Attribute Information.
    International Joint Conference on Artificial Intelligence (IJCAI), pages 1209-1215, 2020.
     
  60. Song Bian, Qintian Guo,  Sibo Wang, Jeffrey Xu Yu. 
    Efficient Algorithms for Budgeted Influence Maximization on Massive Social Networks.
    Proceedings of the VLDB Endowment (PVLDB), 13(9): 1498-1510, 2020.
    paper
     
  61. Qintian Guo, Sibo Wang, Zhewei Wei, Ming Chen.
    Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened.
    Proceedings of the ACM Conference on Management of Data (SIGMOD), pages 2167-2181, 2020.
    code / paper / slides
     
  62. Dan He, Sibo Wang, Boyu Ruan, Bolong Zheng, Xiaofang Zhou.
    Efficient and robust data augmentation for trajectory analytics: a similarity-based approach.
    World Wide Web 23(1): 361-387 (2020)
     
  63. Lei Li, Sibo Wang, Xiaofang Zhou.
    Fastest Path Query Answering using Time-Dependent Hop-Labeling in Road Network.
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 34(1): 300-313, 2022 (Early Access 2020).
     
  64. Sibo Wang, Renchi Yang, Runhui Wang, Xiaokui Xiao, Zhewei Wei, Wenqing Lin, Yin Yang, Nan Tang.
    Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries.
    ACM Transactions on Database Systems (TODS), 44(4): 18:1-18:37, 2019.
    paper
     
  65. Runhui Wang, Sibo Wang, Xiaofang Zhou.
    Parallelizing Approximate Single-Source Personalized PageRank Queries on Shared-Memory.
    International Journal on Very Large Data Bases (VLDBJ), 28(6):923-940, 2019.
    paper
      
  66. Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Yu Liu, Xiaoyong Du, and Ji-Rong Wen.
    PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs.
    Proceedings of the ACM Conference on Management of Data (SIGMOD), pages 1042-1059, 2019.
    paper
     
  67. Dan He, Sibo Wang, Xiaofang Zhou, Reynold Cheng.
    GLAD: A Grid and Labeling Framework with Scheduling for Conflict-Aware kNN Queries.
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 33(4): 1554-1566, 2021. (Early Access 2019)
     
  68. Dan He, Sibo Wang, Xiaofang Zhou, Reynold Cheng.
    An Efficient Framework for Correctness-Aware kNN Queries on Road Networks.
    Proceedings of the IEEE International Conference on Data Engineering (ICDE), pages 1298-1309, 2019.
     
  69. Lei Li, Sibo Wang, Xiaofang Zhou.
    Time-Dependent Hop Labeling on Road Network.
    Proceedings of the IEEE International Conference on Data Engineering (ICDE), pages 902-913, 2019.
       
  70. Sibo Wang and Yufei Tao.
    Efficient Algorithms for Finding Approximate Heavy Hitters in Personalized PageRanks.
    Proceedings of the ACM Conference on Management of Data (SIGMOD), pages 1113-1127, 2018.
    paper / slides
     
  71. Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Shuo Shang, and Ji-Rong Wen.
    TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs.
    Proceedings of the ACM Conference on Management of Data (SIGMOD), pages 441-456, 2018.
    paper
     
  72. Lei Li, Kai Zheng, Sibo Wang, Wen Hua, Xiaofang Zhou.
    Go slow to go fast: minimal on-road time route scheduling with parking facilities using historical trajectory.
    International Journal on Very Large Data Bases (VLDBJ), 27(3):321-345, 2018.
     
  73. Lu Chen, Yunjun Gao, Yuanliang Zhang, Sibo Wang, Baihua Zheng.
    Scalable Hypergraph-Based Image Retrieval and Tagging System.
    Proceedings of the IEEE International Conference on Data Engineering (ICDE), pages 257-268, 2018.
     
  74. Chundong Wang, Qingsong Wei, Lingkun Wu, Sibo Wang, Cheng Chen, Xiaokui Xiao, Jun Yang, Mingdi Xue, Yechao Yang.
    Persisting RB-Tree into NVM in a Consistency Perspective.
    ACM Trans. Storage 14(1): 6:1-6:27 (2018).
      
  75. Sibo Wang, Renchi Yang, Xiaokui Xiao, Zhewei Wei, and Yin Yang.
    FORA: Simple and Effective Approximate Single-Source Personalized PageRank.
    Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pages 505-514, 2017.
    paper / code
     
  76. Keke Huang, Sibo Wang, Glenn Bevilacqua, Xiaokui Xiao, and Laks Lakshmanan.
     Revisiting the Stop-and-Stare Algorithms for Influence Maximization.
    Proceedings of the VLDB Endowment (PVLDB), 10(9): 913-924, 2017.
    paper
     
  77. Dong Deng, Raul Castro Fernandez, Ziawasch Abedjan, Sibo Wang, Michael Stonebraker, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Nan Tang.
    The Data Civilizer System.
    The biennial Conference on Innovative Data Systems Research (CIDR), 2017.
     
  78. Xin Zheng, Aixin Sun, Sibo Wang, Jialong Han. 
    Semi-Supervised Event-related Tweet Identification with Dynamic Keyword Generation.
    Proceedings of the ACM Conference on Information and Knowledge Management (CIKM), pages 1619-1628, 2017.
      
  79. Sibo Wang, Youze Tang, Xiaokui Xiao, Yin Yang, and Zengxiang Li. 
    HubPPR: Effective Indexing for Approximate Personalized PageRank.
    Proceedings of the VLDB Endowment (PVLDB), 10(3): 205-216, 2016.
    code / technical report
     
  80. Sibo Wang, Xiaokui Xiao, Yin Yang, and Wenqing Lin. 
    Effective Indexing for Approximate Constrained Shortest Path Queries on Large Road Networks.
    Proceedings of the VLDB Endowment (PVLDB), 10(2): 61-72, 2016.
    code / technical report
     
  81. Sibo Wang, Wenqing Lin, Yi Yang, Xiaokui Xiao, and Shuigeng Zhou. 
    Efficient Route Planning on Public Transportation Networks: A Labelling Approach.
    Proceedings of the ACM Conference on Management of Data (SIGMOD),  pages 967-982, 2015.
    slides / poster / code / technical report
     
  82. Sibo Wang, Xiaokui Xiao, and Chun-Hee Lee.
    Crowd-Based Deduplication: An Adaptive Approach.
    Proceedings of the ACM Conference on Management of Data (SIGMOD), pages 1263-1277, 2015.
    code & labeling results / paper
     
  83. Andy Diwen Zhu, Wenqing Lin, Sibo Wang, and Xiaokui Xiao.
    Reachability Queries on Large Dynamic Graphs: A Total Order Approach.
    Proceedings of the ACM Conference on Management of Data (SIGMOD), pages 1323-1334, 2014.
    slides / code
     
  84. Andy Diwen Zhu, Xiaokui Xiao, Sibo Wang, and Wenqing Lin.
    Efficient Single-Source Shortest Path and Distance Queries on Large Graphs.
    Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pages 998-1006, 2013.
    technical report