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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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publications
Efficient triangle listing for billion-scale graphs
Published in IEEE International Conference on Big Data (BigData), 2016
Hao Zhang, Yuanyuan Zhu, Lu Qin, Hong Cheng, Jeffrey Xu Yu
Efficient Local Clustering Coefficient Estimation in Massive Graphs
Published in 22nd Database Systems for Advanced Applications (DASFAA), 2017
Hao Zhang, Yuanyuan Zhu, Lu Qin, Hong Cheng, Jeffrey Xu Yu
Efficient MapReduce algorithms for triangle listing in billion-scale graphs
Published in Distributed And Parallel Database (DPD), 2017
Yuanyuan Zhu, Hao Zhang, Lu Qin, Hong Cheng
Subgraph matching: on compression and computation
Published in 44th International Conference on Very Large Data Bases (VLDB), 2018
Miao Qiao, Hao Zhang, Hong Cheng
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SQL-G: Efficient Graph Analytics by SQL
Published in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
Kangfei Zhao, Jiao Su, Jeffrey Xu Yu, Hao Zhang
Distributed Subgraph Counting: A General Approach
Published in 46th International Conference on Very Large Data Bases (VLDB), 2020
Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, Kangfei Zhao, Hong Cheng
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Fast Distributed Complex Join Processing
Published in 37th IEEE International Conference on Data Engineering (ICDE) (Short), 2021
Hao Zhang, Miao Qiao, Jeffrey Xu Yu, Hong Cheng
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A Learned Sketch for Subgraph Counting
Published in ACM SIGMOD/PODS International Conference on Managerment of Data (SIGMOD), 2021
Kangfei Zhao, Jeffrey Xu Yu, Hao Zhang, Qiyan Li, Yu Rong
Parallel Query Processing: To Separate Communication from Computation
Published in ACM SIGMOD/PODS International Conference on Managerment of Data (SIGMOD) (To appear), 2022
Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, Kangfei Zhao
How Learning Can Help Complex Cyclic Join Decomposition
Published in 38th IEEE International Conference on Data Engineering (ICDE) (Demo) (To appear), 2022
Hao Zhang, Qiyan, Li, Kangfei Zhao, Jeffrey Xu Yu, Yuanyuan Zhu