Q
Qiang Yang
Researcher at Hong Kong University of Science and Technology
Publications - 1795
Citations - 96705
Qiang Yang is an academic researcher from Hong Kong University of Science and Technology. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 112, co-authored 1117 publications receiving 71540 citations. Previous affiliations of Qiang Yang include University of London & Zhejiang University of Technology.
Papers
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Proceedings ArticleDOI
Exploiting term relationship to boost text classification
TL;DR: The experimental results show that the exploiting term relationships along with Naive Bayes classifiers can significantly improve the classification performance, especially when the authors do not have enough training data or the texts are Web search queries.
Journal ArticleDOI
A novel gene-activated matrix composed of PEI/plasmid-BMP2 complexes and hydroxyapatite/chitosan-microspheres promotes bone regeneration
Ruyuan Ding,Yajun Liu,Dawei Cheng,Gang Yang,Wenjing Wu,Haoran Du,Xin Jin,Yihan Chen,Yuanyin Wang,Boon Chin Heng,Qiang Yang,Jianguang Xu +11 more
TL;DR: In vivo data from micro-computed tomography and histological staining showed that the use of the composite materials effectively enhanced bone regeneration in defect areas, and demonstrated that the novel GAM system had excellent osteoinductivity with significant clinical potential.
Proceedings ArticleDOI
An Improved Hybrid CNN-SVM based Method for Bearing Fault Diagnosis Under Noisy Environment
TL;DR: A novel improved hybrid CNN-SVM based model is proposed for bearing fault diagnosis through transforming the vibration signal into an image with two-dimensional representation and through adding the features clustering distance into loss function, the model robustness against environmental noises is significantly improved.
Proceedings ArticleDOI
Beamforming Technique Based on Nonuniform Signal Recovering Algorithm in Multi-carrier Frequency MIMO HF Radar
Qiang Yang,Aihua Liu +1 more
TL;DR: A nonuniform signal recovering algorithm based on sparseness-constrained least-squares inversion is proposed in recovering uniform sampling signal, after which the recovered signal is used to beamfoming and results demonstrate that slop lobe is suppressed successfully.