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Jointly Evolving and Compressing Fuzzy System for Feature Reduction and Classification Journal article
Huang, H., Rong, H.J., Yang, Z.X., Vong, C. M.. Jointly Evolving and Compressing Fuzzy System for Feature Reduction and Classification[J]. Information Sciences (SCI-E), 2021, 218-230.
Authors:  Huang, H.;  Rong, H.J.;  Yang, Z.X.;  Vong, C. M.
Favorite |   IF:0/0 | Submit date：2022/08/09
AnYa evolving fuzzy system (AnYa-EFS)  Dimension reduction  Very sparse random projection (VSRP)  Random sparse-Bernoulli (RSB) matrix  
Novel up-scale feature aggregation for object detection in aerial images Journal article
Lin, H., Zhou, J.K., Gan, Y.F., Vong, C. M., Liu, Q.. Novel up-scale feature aggregation for object detection in aerial images[J]. NEUROCOMPUTING, 2020, 411, 364-374.
Authors:  Lin, H.;  Zhou, J.K.;  Gan, Y.F.;  Vong, C. M.;  Liu, Q.
Favorite | TC[WOS]:38 TC[Scopus]:40  IF:5.5/5.5 | Submit date：2022/08/09
Object Detection  Aerial Images  Feature Aggregation  Up-sampling  
The potentials of Uncariae Ramulus Cum Uncis for treatment of migraine: Targeting CGRP in the trigeminovascular system Journal article
Chong, C. M., Zhong, Z., Vong, C. T., Wang, S., Lu, J., Zhong, H., Su, H. X., Wang, Y. T.. The potentials of Uncariae Ramulus Cum Uncis for treatment of migraine: Targeting CGRP in the trigeminovascular system[J]. Current Neuropharmacology, 2020, 1090-1100.
Authors:  Chong, C. M.;  Zhong, Z.;  Vong, C. T.;  Wang, S.;  Lu, J.; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3 | Submit date：2022/07/27
Cgrp  Uncariae Ramulus Cum Uncis  Inflammation  Migraine  Nitric Oxide  Trigeminovascular System  
An Effcient Second‑Order Convergent Scheme for One‑Side Space Fractional Difusion Equations with Variable Coefcient Journal article
Lin, X.-L., Lyu, P., Ng, M. K., Sun, H. W., Vong, S. W.. An Effcient Second‑Order Convergent Scheme for One‑Side Space Fractional Difusion Equations with Variable Coefcient[J]. Communications on Applied Mathematics and Computation, 2020, 215-239.
Authors:  Lin, X.-L.;  Lyu, P.;  Ng, M. K.;  Sun, H. W.;  Vong, S. W.
Favorite |   IF:1.4/0 | Submit date：2022/07/25
One-side space fractional difusion equation  Variable difusion coefcients  
Unsupervised Learning 3-D Local Feature from Raw Voxels based on A Novel Permutation Voxelization Strategy- Journal article
Han, Z. Z., Liu, Z. B., Han, J. W., Vong, C. M., Bu, S. H., Chen, C. L. P.. Unsupervised Learning 3-D Local Feature from Raw Voxels based on A Novel Permutation Voxelization Strategy-[J]. IEEE Transactions on Cybernetics (SCI-E) (Accepted for Publication), 2019, 2168-2267.
Authors:  Han, Z. Z.;  Liu, Z. B.;  Han, J. W.;  Vong, C. M.;  Bu, S. H.; et al.
Favorite |  | Submit date：2022/08/09
3-D local features  3-D voxelization  deep learning  stacked sparse autoencoder (SSAE)  unsupervised feature learning  
Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network with Coupled Softmax Journal article
Han, Z. Z., Liu, Z. B., Vong, C. M., Liu, Y. S., Bu, S. H., Han, J. W., Chen, C. L. P.. Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network with Coupled Softmax[J]. IEEE Transactions on Image Processing (SCI-E), 2018, 3049-3063.
Authors:  Han, Z. Z.;  Liu, Z. B.;  Vong, C. M.;  Liu, Y. S.;  Bu, S. H.; et al.
Favorite |   IF:10.8/12.1 | Submit date：2022/08/09
Deep spatial  spatially-enhanced 3D features  directed circular graph  coupled softmax  
DAlim: Machine learning based intelligent lucky money determination for large-scale E-commerce businesses Conference paper
Fu M., Wong C.M., Zhu H., Huang Y., Li Y., Zheng X., Wu J., Yang J., Vong C.M.. DAlim: Machine learning based intelligent lucky money determination for large-scale E-commerce businesses[C], 2018, 740-755.
Authors:  Fu M.;  Wong C.M.;  Zhu H.;  Huang Y.;  Li Y.; et al.
Favorite | TC[WOS]:3 TC[Scopus]:7 | Submit date：2019/02/14
Data Mining  E-commerce  Lucky Money  Machine Learning  Price Optimization  Price Prediction  
Drug screening of cancer cell lines and human primary cancers using droplet microfluidics Journal article
Wong, A.H., Li, H., Jia, Y., Mak, P. I., Martins, R. P., Liu, Y., Vong, C. M., Wong, H.C., Wong, P. K., Wang, H., Sun, H., Chuxia, D.. Drug screening of cancer cell lines and human primary cancers using droplet microfluidics[J]. Scientific Reports (SCI, IF4.122), 2017, 9109-9109.
Authors:  Wong, A.H.;  Li, H.;  Jia, Y.;  Mak, P. I.;  Martins, R. P.; et al.
Favorite | TC[WOS]:63 TC[Scopus]:72  IF:3.8/4.3 | Submit date：2022/01/24
Precision Medicine  Cancer Therapy  Droplet Microfluidics  Drug Susceptibility  Drug Screen  
Adaptive control of rapidly time-varying discrete-time system using initial-training-free online extreme learning machine Journal article
Gao, X. H., Wong, K. I., Wong, P. K., Vong, C. M.. Adaptive control of rapidly time-varying discrete-time system using initial-training-free online extreme learning machine[J]. Neurocomputing (SCI-E), 2016, 117-125.
Authors:  Gao, X. H.;  Wong, K. I.;  Wong, P. K.;  Vong, C. M.
Favorite |   IF:5.5/5.5 | Submit date：2022/08/09
adaptive control  system identification  time-varying systems  machine learning  
Model predictive engine air-ratio control using online sequential extreme learning machine Journal article
Wong, P. K., Wong, H. C., Vong, C. M., Xie, Z. C., Huang, S. J.. Model predictive engine air-ratio control using online sequential extreme learning machine[J]. Neural Computing and Applications (SCI-E), 2016, 79-92.
Authors:  Wong, P. K.;  Wong, H. C.;  Vong, C. M.;  Xie, Z. C.;  Huang, S. J.
Favorite |   IF:4.5/4.7 | Submit date：2022/08/09
Online sequential extreme learning machine  Nonlinear model predictive control  Automotive engine  Air-ratio