| Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays Z Wang, Y Liu, M Li, X Liu IEEE Transactions on Neural Networks 17 (3), 814-820, 2006 | 446 | 2006 |
| The grid core technologies M Li, M Baker John Wiley & Sons, 2005 | 269 | 2005 |
| Distributed set-membership filtering for multirate systems under the round-robin scheduling over sensor networks S Liu, Z Wang, G Wei, M Li IEEE Transactions on Cybernetics 50 (5), 1910-1920, 2019 | 136 | 2019 |
| A survey of emerging approaches to spam filtering G Caruana, M Li ACM computing surveys (CSUR) 44 (2), 1-27, 2008 | 128 | 2008 |
| Hadoop performance modeling for job estimation and resource provisioning M Khan, Y Jin, M Li, Y Xiang, C Jiang IEEE Transactions on Parallel and Distributed Systems 27 (2), 441-454, 2015 | 124 | 2015 |
| MRSim: A discrete event based MapReduce simulator S Hammoud, M Li, Y Liu, NK Alham, Z Liu 2010 Seventh International Conference on Fuzzy Systems and Knowledge …, 2010 | 115 | 2010 |
| A MapReduce-based distributed SVM algorithm for automatic image annotation NK Alham, M Li, Y Liu, S Hammoud Computers & Mathematics with Applications 62 (7), 2801-2811, 2011 | 98 | 2011 |
| A MapReduce based parallel SVM for large scale spam filtering G Caruana, M Li, M Qi 2011 eighth international conference on fuzzy systems and knowledge …, 2011 | 97 | 2011 |
| A classification of emerging and traditional grid systems H Kurdi, M Li, H Al-Raweshidy IEEE Distributed Systems Online 9 (3), 1-1, 2008 | 96 | 2008 |
| The software architecture of a distributed problem‐solving environment DW Walker, M Li, OF Rana, MS Shields, Y Huang Concurrency: Practice and Experience 12 (15), 1455-1480, 2000 | 96 | 2000 |
| HSim: A MapReduce simulator in enabling Cloud Computing Y Liu, M Li, NK Alham, S Hammoud Future Generation Computer Systems, 2011 | 88 | 2011 |
| A principle component analysis-based random forest with the potential nearest neighbor method for automobile insurance fraud identification Y Li, C Yan, W Liu, M Li Applied Soft Computing 70, 1000-1009, 2018 | 84 | 2018 |
| A novel reinforcement learning algorithm for virtual network embedding H Yao, X Chen, M Li, P Zhang, L Wang Neurocomputing 284, 1-9, 2018 | 78 | 2018 |
| MSML: A novel multilevel semi-supervised machine learning framework for intrusion detection system H Yao, D Fu, P Zhang, M Li, Y Liu IEEE Internet of Things Journal 6 (2), 1949-1959, 2018 | 70 | 2018 |
| An ontology enhanced parallel SVM for scalable spam filter training G Caruana, M Li, Y Liu Neurocomputing 108, 45-57, 2013 | 69 | 2013 |
| Emotion detection from EEG recordings J Liu, H Meng, A Nandi, M Li 2016 12th international conference on natural computation, fuzzy systems and …, 2016 | 63 | 2016 |
| Parallel detrended fluctuation analysis for fast event detection on massive PMU data M Khan, PM Ashton, M Li, GA Taylor, I Pisica, J Liu IEEE Transactions on Smart Grid 6 (1), 360-368, 2014 | 62 | 2014 |
| NetworkAI: An intelligent network architecture for self-learning control strategies in software defined networks H Yao, T Mai, X Xu, P Zhang, M Li, Y Liu IEEE Internet of Things Journal 5 (6), 4319-4327, 2018 | 61 | 2018 |
| SGrid: a service-oriented model for the Semantic Grid M Li, P Van Santen, DW Walker, OF Rana, MA Baker Future Generation Computer Systems 20 (1), 7-18, 2004 | 54 | 2004 |
| Grid service discovery with rough sets M Li, B Yu, O Rana, Z Wang IEEE transactions on knowledge and data engineering 20 (6), 851-862, 2008 | 52 | 2008 |
