Qingyong LI
Cited by
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A real-time visual inspection system for discrete surface defects of rail heads
Q Li, S Ren
IEEE Transactions on Instrumentation and Measurement 61 (8), 2189-2199, 2012
Temperature Dependent Scattering Rates at the Fermi Surface of Optimally Doped
T Valla, AV Fedorov, PD Johnson, Q Li, GD Gu, N Koshizuka
Physical review letters 85 (4), 828, 2000
A hybrid thresholding algorithm for cloud detection on ground-based color images
Q Li, W Lu, J Yang
Journal of atmospheric and oceanic technology 28 (10), 1286-1296, 2011
A hierarchical extractor-based visual rail surface inspection system
J Gan, Q Li, J Wang, H Yu
IEEE Sensors Journal 17 (23), 7935-7944, 2017
A Visual Detection System for Rail Surface Defects
Q Li, S Ren
IEEE Transactions on Systems, Man, and Cybernetics--Part C: Applications and …, 2012
A kernel-power-density-based algorithm for channel multipath components clustering
R He, Q Li, B Ai, YLA Geng, AF Molisch, V Kristem, Z Zhong, J Yu
IEEE Transactions on Wireless Communications 16 (11), 7138-7151, 2017
A coarse-to-fine model for rail surface defect detection
H Yu, Q Li, Y Tan, J Gan, J Wang, Y Geng, L Jia
IEEE Transactions on Instrumentation and Measurement 68 (3), 656-666, 2018
Multi-component graph convolutional collaborative filtering
X Wang, R Wang, C Shi, G Song, Q Li
Proceedings of the AAAI conference on artificial intelligence 34 (04), 6267-6274, 2020
Clustering enabled wireless channel modeling using big data algorithms
R He, B Ai, AF Molisch, GL Stuber, Q Li, Z Zhong, J Yu
IEEE Communications Magazine 56 (5), 177-183, 2018
Surface defect detection via entity sparsity pursuit with intrinsic priors
J Wang, Q Li, J Gan, H Yu, X Yang
IEEE Transactions on Industrial Informatics 16 (1), 141-150, 2019
RECOME: A new density-based clustering algorithm using relative KNN kernel density
Y Geng, Q Li, R Zheng, F Zhuang, R He, N Xiong
Information Sciences 436, 13-30, 2018
Friction between a viscoelastic body and a rigid surface with random self-affine roughness
Q Li, M Popov, A Dimaki, AE Filippov, S Kürschner, VL Popov
Physical review letters 111 (3), 034301, 2013
Mid-infrared conductivity from mid-gap states associated with charge stripes
CC Homes, JM Tranquada, Q Li, AR Moodenbaugh, DJ Buttrey
Physical Review B 67 (18), 184516, 2003
Application of XGBoost algorithm in the optimization of pollutant concentration
J Li, X An, Q Li, C Wang, H Yu, X Zhou, Y Geng
Atmospheric Research 276, 106238, 2022
Lightnet: A dual spatiotemporal encoder network model for lightning prediction
Y Geng, Q Li, T Lin, L Jiang, L Xu, D Zheng, W Yao, W Lyu, Y Zhang
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
Rail inspection meets big data: Methods and trends
Q Li, Z Zhong, Z Liang, Y Liang
2015 18th International Conference on Network-Based Information Systems, 302-308, 2015
A fast template matching-based algorithm for railway bolts detection
Y Dou, Y Huang, Q Li, S Luo
International Journal of Machine Learning and Cybernetics 5, 835-844, 2014
Thin cloud detection of all-sky images using Markov random fields
Q Li, W Lu, J Yang, JZ Wang
IEEE Geoscience and remote sensing letters 9 (3), 417-421, 2011
Unraveling the Symmetry of the Hole States near the Fermi Level in the Superconductor
Y Zhu, AR Moodenbaugh, G Schneider, JW Davenport, T Vogt, Q Li, G Gu, ...
Physical review letters 88 (24), 247002, 2002
A cyber-enabled visual inspection system for rail corrugation
Q Li, Z Shi, H Zhang, Y Tan, S Ren, P Dai, W Li
Future Generation Computer Systems 79, 374-382, 2018
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