| Catch the wind: Graph workload balancing on cloud Z Shang, JX Yu 2013 IEEE 29th International Conference on Data Engineering (ICDE), 553-564, 2013 | 111 | 2013 |
| K-reach: Who is in your small world J Cheng, Z Shang, H Cheng, H Wang, JX Yu arXiv preprint arXiv:1208.0090, 2012 | 63 | 2012 |
| Keyword-centric community search Z Zhang, X Huang, J Xu, B Choi, Z Shang 2019 IEEE 35th international conference on data engineering (ICDE), 422-433, 2019 | 47 | 2019 |
| Measuring robustness of complex networks under MVC attack RH Li, JX Yu, X Huang, H Cheng, Z Shang Proceedings of the 21st ACM international conference on Information and …, 2012 | 40 | 2012 |
| Auto-approximation of graph computing Z Shang, JX Yu Proceedings of the VLDB Endowment 7 (14), 1833-1844, 2014 | 33 | 2014 |
| Combining aggregation and sampling (nearly) optimally for approximate query processing X Liang, S Sintos, Z Shang, S Krishnan Proceedings of the 2021 International Conference on Management of Data, 1129 …, 2021 | 30 | 2021 |
| Measuring the impact of MVC attack in large complex networks RH Li, JX Yu, X Huang, H Cheng, Z Shang Information Sciences 278, 685-702, 2014 | 29 | 2014 |
| Graph analytics through fine-grained parallelism Z Shang, F Li, JX Yu, Z Zhang, H Cheng Proceedings of the 2016 International Conference on Management of Data, 463-478, 2016 | 28 | 2016 |
| Efficient processing of -hop reachability queries J Cheng, Z Shang, H Cheng, H Wang, JX Yu The VLDB journal 23 (2), 227-252, 2014 | 28 | 2014 |
| Divide & conquer: I/O efficient depth-first search Z Zhang, JX Yu, L Qin, Z Shang Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 26 | 2015 |
| Intermittent query processing D Tang, Z Shang, AJ Elmore, S Krishnan, MJ Franklin Proceedings of the VLDB Endowment 12 (11), 1427-1441, 2019 | 25 | 2019 |
| Thrifty query execution via incrementability D Tang, Z Shang, AJ Elmore, S Krishnan, MJ Franklin Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 16 | 2020 |
| Artificial intelligence in resource-constrained and shared environments S Krishnan, AJ Elmore, M Franklin, J Paparrizos, Z Shang, A Dziedzic, ... ACM SIGOPS Operating Systems Review 53 (1), 1-6, 2019 | 16 | 2019 |
| CrocodileDB: Efficient Database Execution through Intelligent Deferment. Z Shang, X Liang, D Tang, C Ding, AJ Elmore, S Krishnan, MJ Franklin CIDR, 2020 | 15 | 2020 |
| Fast and reliable missing data contingency analysis with predicate-constraints X Liang, Z Shang, S Krishnan, AJ Elmore, MJ Franklin Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 14 | 2020 |
| To meet or not to meet: Finding the shortest paths in road networks W Huang, Y Zhang, Z Shang, JX Yu IEEE Transactions on Knowledge and Data Engineering 30 (4), 772-785, 2017 | 11 | 2017 |
| Resource-efficient shared query execution via exploiting time slackness D Tang, Z Shang, WW Ma, AJ Elmore, S Krishnan Proceedings of the 2021 International Conference on Management of Data, 1797 …, 2021 | 10 | 2021 |
| Rushmon: Real-time isolation anomalies monitoring Z Shang, JX Yu, AJ Elmore Proceedings of the 2018 International Conference on Management of Data, 647-662, 2018 | 9 | 2018 |
| Tufast: A lightweight parallelization library for graph analytics Z Shang, JX Yu, Z Zhang 2019 IEEE 35th International Conference on Data Engineering (ICDE), 710-721, 2019 | 8 | 2019 |
| Crocodiledb in action: Resource-efficient query execution by exploiting time slackness D Tang, Z Shang, AJ Elmore, S Krishnan, MJ Franklin Proceedings of the VLDB Endowment 13 (12), 2937-2940, 2020 | 6 | 2020 |
