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Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy Journal article
Han Z., Liu Z., Han J., Vong C.-M., Bu S., Chen C.L.P.. Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy[J]. IEEE Transactions on Cybernetics, 2019, 49(2), 481-494.
Authors:  Han Z.;  Liu Z.;  Han J.;  Vong C.-M.;  Bu S.; et al.
Favorite | TC[WOS]:31 TC[Scopus]:31  IF:9.4/10.3 | Submit date：2019/02/11
3-d Local Features  3-d Voxelization  Deep Learning  Stacked Sparse Autoencoder (Ssae)  Unsupervised Feature Learning  
A Regularized Variable Projection Algorithm for Separable Nonlinear Least-Squares Problems Journal article
Chen G.-Y., Gan M., Chen C.L.P., Li H.-X.. A Regularized Variable Projection Algorithm for Separable Nonlinear Least-Squares Problems[J]. IEEE Transactions on Automatic Control, 2019, 64(2), 526-537.
Authors:  Chen G.-Y.;  Gan M.;  Chen C.L.P.;  Li H.-X.
Favorite | TC[WOS]:162 TC[Scopus]:171  IF:6.2/6.6 | Submit date：2019/02/11
Data Fitting  Regularization  Separable Nonlinear Least Squares (Snlls)  Variable Projection (Vp)  Weighted Generalized Cross Validation (Wgcv)  
SeqViews2SeqLabels: Learning 3D global features via aggregating sequential views by RNN with attention Journal article
Han Z., Shang M., Liu Z., Vong C.-M., Liu Y.-S., Zwicker M., Han J., Chen C.L.P.. SeqViews2SeqLabels: Learning 3D global features via aggregating sequential views by RNN with attention[J]. IEEE Transactions on Image Processing, 2019, 28(2), 658-672.
Authors:  Han Z.;  Shang M.;  Liu Z.;  Vong C.-M.;  Liu Y.-S.; et al.
Favorite | TC[WOS]:157 TC[Scopus]:195  IF:10.8/12.1 | Submit date：2019/02/14
3d Feature Learning  Attention  Rnn  Sequential Labels  Sequential Views  View Aggregation  
Fuzzy adaptive finite-time control design for nontriangular stochastic nonlinear systems Journal article
Sui S., Chen C.L.P., Tong S.. Fuzzy adaptive finite-time control design for nontriangular stochastic nonlinear systems[J]. IEEE Transactions on Fuzzy Systems, 2019, 27(1), 172-184.
Authors:  Sui S.;  Chen C.L.P.;  Tong S.
Favorite | TC[WOS]:283 TC[Scopus]:300  IF:10.7/9.7 | Submit date：2019/02/11
Multiple-input And Multiple-output (Mimo) Stochastic Nonlinear Systems  Nontriangular Form  State Filter  Stochastically Finite-time Control  
Neural-dynamic optimization-based model predictive control for tracking and formation of nonholonomic multirobot systems Journal article
Li Z., Yuan W., Chen Y., Ke F., Chu X., Chen C.L.P.. Neural-dynamic optimization-based model predictive control for tracking and formation of nonholonomic multirobot systems[J]. IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(12), 6113-6122.
Authors:  Li Z.;  Yuan W.;  Chen Y.;  Ke F.;  Chu X.; et al.
Favorite | TC[WOS]:70 TC[Scopus]:80 | Submit date：2019/02/11
Formation Control  Multiple Mobile Robots  Neural-dynamic Optimization  Nonlinear Model Predictive Control (Nmpc)  
Finite-time formation control of under-actuated ships using nonlinear sliding mode control Journal article
Li T., Zhao R., Chen C.L.P., Fang L., Liu C.. Finite-time formation control of under-actuated ships using nonlinear sliding mode control[J]. IEEE Transactions on Cybernetics, 2018, 48(11), 3243-3253.
Authors:  Li T.;  Zhao R.;  Chen C.L.P.;  Fang L.;  Liu C.
Favorite | TC[WOS]:278 TC[Scopus]:321 | Submit date：2019/02/11
Finite-time Stability  Formation Control  Nonlinear Sliding Mode Control  Under-actuated Ships  
Optimized Multi-Agent Formation Control Based on an Identifier-Actor-Critic Reinforcement Learning Algorithm Journal article
Wen G., Chen C.L.P., Feng J., Zhou N.. Optimized Multi-Agent Formation Control Based on an Identifier-Actor-Critic Reinforcement Learning Algorithm[J]. IEEE Transactions on Fuzzy Systems, 2018, 26(5), 2719-2731.
Authors:  Wen G.;  Chen C.L.P.;  Feng J.;  Zhou N.
Favorite | TC[WOS]:130 TC[Scopus]:139 | Submit date：2019/02/11
Fuzzy Logic Systems (Flss)  Identifier-actor-critic Architecture  Multi-agent Formation  Optimized Formation Control  Reinforcement Learning (Rl)  
Event-triggered fault detector and controller coordinated design of fuzzy systems Journal article
Su X., Xia F., Wu L., Chen C.L.P.. Event-triggered fault detector and controller coordinated design of fuzzy systems[J]. IEEE Transactions on Fuzzy Systems, 2018, 26(4), 2004-2016.
Authors:  Su X.;  Xia F.;  Wu L.;  Chen C.L.P.
Favorite | TC[WOS]:67 TC[Scopus]:72 | Submit date：2019/02/11
Fault Detection (Fd)  Fuzzy Control  Fuzzy Systems  Packet Dropouts  
Substructural Regularization with Data-Sensitive Granularity for Sequence Transfer Learning Journal article
Sun S., Liu H., Meng J., Chen C.L.P., Yang Y.. Substructural Regularization with Data-Sensitive Granularity for Sequence Transfer Learning[J]. IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(6), 2545-2557.
Authors:  Sun S.;  Liu H.;  Meng J.;  Chen C.L.P.;  Yang Y.
Favorite | TC[WOS]:10 TC[Scopus]:10 | Submit date：2019/02/11
Data-sensitive Granularity  Hidden Markov Model (Hmm)  Relative Entropy (Re)  Sequence Transfer Learning  Substructural Regularization  
Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network with Coupled Softmax Journal article
Han Z., Liu Z., Vong C.-M., Liu Y.-S., Bu S., Han J., 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, 2018, 27(6), 3049-3063.
Authors:  Han Z.;  Liu Z.;  Vong C.-M.;  Liu Y.-S.;  Bu S.; et al.
Favorite | TC[WOS]:37 TC[Scopus]:43 | Submit date：2019/02/11
Coupled Softmax  Deep Spatial  Directed Circular Graph  Spatially-enhanced 3d Features