Qiang Liu
TitleCited byYear
Extreme learning machines
E Cambria, Q Liu, K Li, VCM Leung, L Feng, YS Ong, MH Lim, A Akusok, ...
IEEE Intelligent Systems, 30-59, 2013
Virtual network embedding for evolving networks
Z Cai, F Liu, N Xiao, Q Liu, Z Wang
2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 1-5, 2010
A Survey on Security Threats and Defensive Techniques of Machine Learning: A Data Driven View
Q Liu, P Li, W Zhao, W Cai, S Yu, VCM Leung
IEEE Access 6, 12103-12117, 2018
Applying a new localized generalization error model to design neural networks trained with extreme learning machine
Q Liu, J Yin, VCM Leung, JH Zhai, Z Cai, J Lin
Neural Computing and Applications 27 (1), 59-66, 2016
A survey on security-aware measurement in SDN
H Zhang, Z Cai, Q Liu, Q Xiao, Y Li, CF Cheang
Security and Communication Networks 2018, 2018
FADE: forwarding assessment based detection of collaborative grey hole attacks in WMNs
Q Liu, J Yin, VCM Leung, Z Cai
IEEE Transactions on Wireless Communications 12 (10), 5124-5137, 2013
A secure and practical mechanism of outsourcing extreme learning machine in cloud computing
J Lin, J Yin, Z Cai, Q Liu, K Li, V Leung
IEEE Intelligent Systems 28 (6), 35-38, 2013
A survey of clustering with deep learning: From the perspective of network architecture
E Min, X Guo, Q Liu, G Zhang, J Cui, J Long
IEEE Access 6, 39501-39514, 2018
Platelet to lymphocyte ratio as an independent prognostic indicator for prostate cancer patients receiving androgen deprivation therapy
Y Wang, F Xu, J Pan, Y Zhu, X Shao, J Sha, Z Wang, Y Cai, Q Liu, B Dong, ...
BMC cancer 16 (1), 329, 2016
Preoperative neutrophil-to-lymphocyte ratio and neutrophilia are independent predictors of recurrence in patients with localized papillary renal cell carcinoma
J Huang, DM Dahl, L Dong, Q Liu, K Cornejo, Q Wang, S Wu, AS Feldman, ...
BioMed research international 2015, 2015
Expression of anion exchanger 1 is associated with tumor progress in human gastric cancer
WQ Xu, LJ Song, Q Liu, L Zhao, L Zheng, ZW Yan, GH Fu
Journal of cancer research and clinical oncology 135 (10), 1323-1330, 2009
Heterogeneous metric learning of categorical data with hierarchical couplings
C Zhu, L Cao, Q Liu, J Yin, V Kumar
IEEE Transactions on Knowledge and Data Engineering 30 (7), 1254-1267, 2018
Gastrin suppresses the interdependent expression of p16 and anion exchanger 1 favoring growth inhibition of gastric cancer cells
H Tian, N Zhang, WH Suo, T Wang, LJ Song, J Wu, Q Liu, WW Shen, ...
International journal of cancer 127 (6), 1462-1474, 2010
Hyperparameter selection of one-class support vector machine by self-adaptive data shifting
S Wang, Q Liu, E Zhu, F Porikli, J Yin
Pattern Recognition 74, 198-211, 2018
Distance based multiple kernel ELM: A fast multiple kernel learning approach
C Zhu, X Liu, Q Liu, Y Ming, J Yin
Mathematical Problems in Engineering 2015, 2015
MI-ELM: Highly Efficient Multi-Instance Learning Based on Hierarchical Extreme Learning Machine
Q Liu, S Zhou, C Zhu, X Liu, J Yin
Neurocomputing, 2015
Financial time series prediction using ℓ2, 1RF-ELM
J Xue, SH Zhou, Q Liu, X Liu, J Yin
Neurocomputing 277, 176-186, 2018
Thyroid-like follicular carcinoma of the kidney in a patient with skull and meningeal metastasis: a unique case report and review of the literature
L Dong, J Huang, L Huang, O Shi, Q Liu, H Chen, W Xue, Y Huang
Medicine 95 (15), 2016
Insulinoma-associated protein 1 is a novel sensitive and specific marker for small cell carcinoma of the prostate
Z Xin, Y Zhang, Z Jiang, L Zhao, L Fan, Y Wang, S Xie, X Shangguan, ...
Human pathology 79, 151-159, 2018
Random Fourier extreme learning machine with ℓ2, 1-norm regularization
S Zhou, X Liu, Q Liu, S Wang, C Zhu, J Yin
Neurocomputing 174, 143-153, 2016
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