| A new dependency and correlation analysis for features G Qu, S Hariri, M Yousif IEEE Transactions on Knowledge and Data Engineering 17 (9), 1199-1207, 2005 | 189 | 2005 |
| Impact analysis of faults and attacks in large-scale networks S Hariri, G Qu, T Dharmagadda, M Ramkishore, CS Raghavendra IEEE Security & privacy 1 (5), 49-54, 2003 | 185 | 2003 |
| An efficient network intrusion detection method based on information theory and genetic algorithm T Xia, G Qu, S Hariri, M Yousif PCCC 2005. 24th IEEE International Performance, Computing, and …, 2005 | 122 | 2005 |
| Fast algorithms to evaluate collaborative filtering recommender systems F Zhang, T Gong, VE Lee, G Zhao, C Rong, G Qu Knowledge-Based Systems 96, 96-103, 2016 | 120 | 2016 |
| Multi-level intrusion detection system (ML-IDS) Y Al-Nashif, AA Kumar, S Hariri, Y Luo, F Szidarovsky, G Qu 2008 International Conference on Autonomic Computing, 131-140, 2008 | 89 | 2008 |
| A sequence-to-sequence air quality predictor based on the n-step recurrent prediction B Liu, S Yan, J Li, G Qu, Y Li, J Lang, R Gu IEEE Access 7, 43331-43345, 2019 | 87 | 2019 |
| Generating word embeddings from an extreme learning machine for sentiment analysis and sequence labeling tasks P Lauren, G Qu, J Yang, P Watta, GB Huang, A Lendasse Cognitive Computation 10, 625-638, 2018 | 65 | 2018 |
| A Framework for Network Vulnerability Analysis. G Qu, J Rudraraju, R Modukuri, S Hariri, CS Raghavendra Communications, Internet, and Information Technology, 289-294, 2002 | 49 | 2002 |
| Discriminant document embeddings with an extreme learning machine for classifying clinical narratives P Lauren, G Qu, F Zhang, A Lendasse Neurocomputing 277, 129-138, 2018 | 46 | 2018 |
| Multivariate statistical analysis for network attacks detection G Qu, S Hariri, M Yousif The 3rd ACS/IEEE International Conference onComputer Systems and …, 2005 | 36 | 2005 |
| Quality-of-protection (QoP)-an online monitoring and self-protection mechanism S Hariri, G Qu, R Modukuri, H Chen, M Yousif IEEE Journal on selected areas in communications 23 (10), 1983-1993, 2005 | 34 | 2005 |
| A spatiotemporal recurrent neural network for prediction of atmospheric PM2. 5: A case study of Beijing B Liu, S Yan, J Li, Y Li, J Lang, G Qu IEEE Transactions on Computational Social Systems 8 (3), 578-588, 2021 | 29 | 2021 |
| Self-configuration of network security H Chen, YB Al-Nashif, G Qu, S Hariri 11th IEEE International Enterprise Distributed Object Computing Conference …, 2007 | 29 | 2007 |
| Online monitoring and analysis for self-protection against network attacks G Qu, S Hariri, S Jangiti, J Rudraraju, S Oh, S Fayssal, G Zhang, ... International Conference on Autonomic Computing, 2004. Proceedings., 324-325, 2004 | 26 | 2004 |
| A cognitive spatial multiplexing scheme for MIMO-CDMA networks Y Xiao, K Kim, G Qu IET 3rd International Conference on Wireless, Mobile and Multimedia Networks …, 2010 | 23 | 2010 |
| RAPiD: An indirect rogue access points detection system G Qu, MN Michael International Performance Computing and Communications Conference, 9-16, 2010 | 21 | 2010 |
| Deploying and scheduling vision based advanced driver assistance systems (ADAS) on heterogeneous multicore embedded platform M Hammond, G Qu, OA Rawashdeh 2015 Ninth International Conference on Frontier of Computer Science and …, 2015 | 19 | 2015 |
| Spatial multiplexing algorithms of cognitive base-stations Y Xiao, Y Zhang, G Qu, K Kim IET Digital Library, 2010 | 19 | 2010 |
| DS-ADMM++: A novel distributed quantized ADMM to speed up differentially private matrix factorization F Zhang, E Xue, R Guo, G Qu, G Zhao, AY Zomaya IEEE Transactions on Parallel and Distributed Systems 33 (6), 1289-1302, 2021 | 15 | 2021 |
| A low-dimensional vector representation for words using an extreme learning machine P Lauren, G Qu, GB Huang, P Watta, A Lendasse 2017 international joint conference on neural networks (IJCNN), 1817-1822, 2017 | 14 | 2017 |
C S RaghavendraProfessor of Electrical Engineering, University of Southern California在 usc.edu 的电子邮件经过验证
