| Hive: a warehousing solution over a map-reduce framework A Thusoo, JS Sarma, N Jain, Z Shao, P Chakka, S Anthony, H Liu, ... Proceedings of the VLDB Endowment 2 (2), 1626-1629, 2009 | 2492 | 2009 |
| Hive-a petabyte scale data warehouse using hadoop A Thusoo, JS Sarma, N Jain, Z Shao, P Chakka, N Zhang, S Antony, H Liu, ... 2010 IEEE 26th international conference on data engineering (ICDE 2010), 996 …, 2010 | 1362 | 2010 |
| Data warehousing and analytics infrastructure at facebook A Thusoo, Z Shao, S Anthony, D Borthakur, N Jain, J Sen Sarma, ... Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010 | 613 | 2010 |
| RCFile: A fast and space-efficient data placement structure in MapReduce-based warehouse systems Y He, R Lee, Y Huai, Z Shao, N Jain, X Zhang, Z Xu 2011 IEEE 27th International Conference on Data Engineering, 1199-1208, 2011 | 471 | 2011 |
| Mining hidden community in heterogeneous social networks D Cai, Z Shao, X He, X Yan, J Han Proceedings of the 3rd international workshop on Link discovery, 58-65, 2005 | 252 | 2005 |
| Community mining from multi-relational networks D Cai, Z Shao, X He, X Yan, J Han European conference on principles of data mining and knowledge discovery …, 2005 | 228 | 2005 |
| C-cubing: Efficient computation of closed cubes by aggregation-based checking D Xin, Z Shao, J Han, H Liu 22nd International Conference on Data Engineering (ICDE'06), 4-4, 2006 | 77 | 2006 |
| MM-Cubing: Computing iceberg cubes by factorizing the lattice space Z Shao, J Han, D Xin Proceedings. 16th International Conference on Scientific and Statistical …, 2004 | 69 | 2004 |
| Computing iceberg cubes by top-down and bottom-up integration: The starcubing approach D Xin, J Han, X Li, Z Shao, BW Wah IEEE Transactions on Knowledge and Data Engineering 19 (1), 111-126, 2006 | 65 | 2006 |
| Mining frequent patterns from very high dimensional data: A top-down row enumeration approach H Liu, J Han, D Xin, Z Shao Proceedings of the 2006 SIAM international conference on data mining, 282-293, 2006 | 57 | 2006 |
| Data stream splitting for low-latency data access S Rash, D Borthakur, Z Shao, E Hwang US Patent 10,223,431, 2019 | 50 | 2019 |
| Top-down mining of frequent closed patterns from very high dimensional data H Liu, X Wang, J He, J Han, D Xin, Z Shao Information Sciences 179 (7), 899-924, 2009 | 43 | 2009 |
| Use of incremental checkpoints to restore user data stream processes S Rash, D Borthakur, P Khemani, Z Shao US Patent 9,471,436, 2016 | 37 | 2016 |
| Systems and methods of predicting resource usefulness using universal resource locators including counting the number of times URL features occur in training data Z Shao, W Fu US Patent 7,908,234, 2011 | 33 | 2011 |
| Multi-level data staging for low latency data access S Rash, D Borthakur, Z Shao, G Shen US Patent 9,609,050, 2017 | 28 | 2017 |
| Multi-level data staging for low latency data access S Rash, D Borthakur, Z Shao, G Shen US Patent 10,581,957, 2020 | 16 | 2020 |
| Top-down mining of interesting patterns from very high dimensional data H Liu, J Han, D Xin, Z Shao 22nd International Conference on Data Engineering (ICDE'06), 114-114, 2006 | 16 | 2006 |
| Real-time analytics at facebook Z Shao Fifth Conference on Extremely Large Databases, XLDB5, 2011 | 14 | 2011 |
| Top-Down Mining of Frequent Patterns from Very High Dimensional Data H Liu, J Han, D Xin, Z Shao Philadelphia: Philadelphia Society for Industrial and Applied Mathematics, 2006 | 1 | 2006 |
| Data stream splitting for low-latency data access S Rash, D Borthakur, Z Shao, E Hwang | | 2014 |
