| System and method for a multi view learning approach to anomaly detection and root cause analysis K Yang, R Liu, Y Sun US Patent 9,961,571, 2018 | 53 | 2018 |
| Deep network analyzer (DNA): A big data analytics platform for cellular networks K Yang, R Liu, Y Sun, J Yang, X Chen IEEE Internet of Things Journal 4 (6), 2019-2027, 2016 | 47 | 2016 |
| Trust-but-Verify: Verifying Result Correctness of Outsourced Frequent Itemset Mining in Data-mining-as-a-service Paradigm B Dong, R Liu, H Wang Transactions on Services Computing, 2015 | 32 | 2015 |
| Hiding outliers into crowd: Privacy-preserving data publishing with outliers HW Wang, R Liu Data & Knowledge Engineering 100, 94-115, 2015 | 25 | 2015 |
| PraDa: Privacy-preserving Data-Deduplication-as-a-Service B Dong, R Liu, WH Wang Proceedings of the 23rd ACM International Conference on Conference on …, 2014 | 21 | 2014 |
| Privacy-preserving publishing microdata with full functional dependencies H Wang, R Liu Data & Knowledge Engineering 70 (3), 249-268, 2011 | 21 | 2011 |
| Integrity Verification of K-means Clustering Outsourced to Infrastructure as a Service (IaaS) Providers R Liu, H Wang, P Mordohai, H Xiong Proceedings of the 2013 SIAM International Conference on Data Mining, 632-640, 2013 | 20 | 2013 |
| Fingerprinting root cause analysis in cellular systems K Yang, Y Sun, R Liu, J Yang US Patent 10,397,810, 2019 | 19 | 2019 |
| Result integrity verification of outsourced frequent itemset mining B Dong, R Liu, H Wang Data and Applications Security and Privacy XXVII: 27th Annual IFIP WG 11.3 …, 2013 | 18 | 2013 |
| AUDIO: An Integrity Auditing Framework of Outlier-Mining-as-a-Service Systems R Liu, HW Wang, A Monreale, D Pedreschi, F Giannotti, W Guo Machine Learning and Knowledge Discovery in Databases, 1-18, 2012 | 18* | 2012 |
| Integrity verification of outsourced frequent itemset mining with deterministic guarantee B Dong, R Liu, WH Wang 2013 IEEE 13th International Conference on Data Mining, 1025-1030, 2013 | 17 | 2013 |
| Features selection and pattern mining for KQI prediction and cause analysis K Yang, Y Sun, R Liu US Patent 10,332,056, 2019 | 15 | 2019 |
| Predicting received signal strength in a telecommunication network using deep neural networks J Yang, X Zhang, J Ren, R Liu, X Chen, X Wang, Q Song, L Zhou, X Shu US Patent 10,555,192, 2020 | 13 | 2020 |
| User-level KQI anomaly detection using markov chain model K Yang, Y Sun, R Liu, D Liu, J Yang US Patent 10,482,158, 2019 | 10 | 2019 |
| Integrity verification of outsourced XML databases R Liu, H Wang 2009 International Conference on Computational Science and Engineering 3 …, 2009 | 9 | 2009 |
| SPAC: a distributed, peer-to-peer, secure and privacy-aware social space A Bonifati, H Wang, R Liu Proceedings of the 19th ACM international conference on Information and …, 2010 | 8 | 2010 |
| Privacy-Preserving Publishing Data with Full Functional Dependencies H Wang, R Liu International Conference on Database Systems for Advanced Applications …, 2010 | 8* | 2010 |
| Spark-based rare association rule mining for big datasets R Liu, K Yang, Y Sun, T Quan, J Yang 2016 IEEE International Conference on Big Data (Big Data), 2734-2739, 2016 | 7 | 2016 |
| Neighborhood prediction based decentralized key management for mobile wireless networks X Zheng, Y Chen, H Wang, H Liu, R Liu Wireless networks 19, 1387-1406, 2013 | 6 | 2013 |
| A decentralized key management scheme via neighborhood prediction in mobile wireless networks X Zheng, H Wang, Y Chen, H Liu, R Liu The 7th IEEE international conference on mobile ad-hoc and sensor systems …, 2010 | 6 | 2010 |
Wendy Hui WangStevens Institute of TechnologyVerified email at stevens.edu
