Year |
Citation |
Score |
2021 |
Zhou Y, Yen GG, Yi Z. Evolutionary Shallowing Deep Neural Networks at Block Levels. Ieee Transactions On Neural Networks and Learning Systems. PMID 33635798 DOI: 10.1109/TNNLS.2021.3059529 |
0.328 |
|
2020 |
Qi X, Hu J, Zhang L, Bai S, Yi Z. Automated Segmentation of the Clinical Target Volume in the Planning CT for Breast Cancer Using Deep Neural Networks. Ieee Transactions On Cybernetics. PMID 32833659 DOI: 10.1109/TCYB.2020.3012186 |
0.309 |
|
2020 |
Pi Y, Zhao Z, Xiang Y, Li Y, Cai H, Yi Z. Automated diagnosis of bone metastasis based on multi-view bone scans using attention-augmented deep neural networks. Medical Image Analysis. 65: 101784. PMID 32763793 DOI: 10.1016/j.media.2020.101784 |
0.332 |
|
2020 |
Xu X, Wang C, Guo J, Gan Y, Wang J, Bai H, Zhang L, Li W, Yi Z. MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks. Medical Image Analysis. 65: 101772. PMID 32674041 DOI: 10.1016/j.media.2020.101772 |
0.372 |
|
2020 |
Gou J, Wang L, Yi Z, Yuan Y, Ou W, Mao Q. Weighted discriminative collaborative competitive representation for robust image classification. Neural Networks : the Official Journal of the International Neural Network Society. 125: 104-120. PMID 32087390 DOI: 10.1016/j.neunet.2020.01.020 |
0.339 |
|
2020 |
Wang L, Zhang L, Zhu M, Qi X, Yi Z. Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks. Medical Image Analysis. 61: 101665. PMID 32062156 DOI: 10.1016/j.media.2020.101665 |
0.318 |
|
2020 |
He T, Hu J, Song Y, Guo J, Yi Z. Multi-task learning for the segmentation of organs at risk with label dependence. Medical Image Analysis. 61: 101666. PMID 32062155 DOI: 10.1016/j.media.2020.101666 |
0.369 |
|
2020 |
Shu X, Zhang L, Wang Z, Lv Q, Yi Z. Deep Neural Networks with Region-based Pooling Structures for Mammographic Image Classification. Ieee Transactions On Medical Imaging. PMID 31985411 DOI: 10.1109/TMI.2020.2968397 |
0.394 |
|
2020 |
Wang L, Zhang L, Wang J, Yi Z. Memory Mechanisms for Discriminative Visual Tracking Algorithms With Deep Neural Networks Ieee Transactions On Cognitive and Developmental Systems. 12: 98-108. DOI: 10.1109/Tcds.2019.2900506 |
0.341 |
|
2020 |
Chen W, Yu J, Yi Z, Qu H. The Effect of Coefficients on the Continuous Attractors in Coupled Highway Neural Networks Neurocomputing. DOI: 10.1016/J.Neucom.2020.08.036 |
0.407 |
|
2020 |
Pi Y, Chen Y, Deng D, Qi X, Li J, Lv Q, Yi Z. Automated diagnosis of multi-plane breast ultrasonography images using deep neural networks Neurocomputing. 403: 371-382. DOI: 10.1016/J.Neucom.2020.04.123 |
0.308 |
|
2020 |
Gao Z, Chen Y, Yi Z. A novel method to compute the weights of neural networks Neurocomputing. 407: 409-427. DOI: 10.1016/J.Neucom.2020.03.114 |
0.413 |
|
2020 |
Wang J, Ju R, Chen Y, Liu G, Yi Z. Automated diagnosis of neonatal encephalopathy on aEEG using deep neural networks Neurocomputing. 398: 95-107. DOI: 10.1016/J.Neucom.2020.01.057 |
0.339 |
|
2020 |
Xie L, Zhang L, Hu T, Huang H, Yi Z. Neural networks model based on an automated multi-scale method for mammogram classification Knowledge Based Systems. 106465. DOI: 10.1016/J.Knosys.2020.106465 |
0.375 |
|
2020 |
Hu J, Chen Y, Zhang L, Yi Z. Surrogate dropout: Learning optimal drop rate through proxy Knowledge Based Systems. 206: 106340. DOI: 10.1016/J.Knosys.2020.106340 |
0.396 |
|
2020 |
Wu Y, Yi Z. Automated detection of kidney abnormalities using multi-feature fusion convolutional neural networks Knowledge Based Systems. 200: 105873. DOI: 10.1016/J.Knosys.2020.105873 |
0.355 |
|
2020 |
Wang H, Zhang H, Hu J, Song Y, Bai S, Yi Z. DeepEC: An error correction framework for dose prediction and organ segmentation using deep neural networks International Journal of Intelligent Systems. DOI: 10.1002/Int.22280 |
0.321 |
|
2019 |
Zhou Y, Yen GG, Yi Z. Evolutionary Compression of Deep Neural Networks for Biomedical Image Segmentation. Ieee Transactions On Neural Networks and Learning Systems. PMID 31536016 DOI: 10.1109/Tnnls.2019.2933879 |
0.421 |
|
2019 |
Zhou Y, Yen GG, Yi Z. A Knee-Guided Evolutionary Algorithm for Compressing Deep Neural Networks. Ieee Transactions On Cybernetics. PMID 31380778 DOI: 10.1109/Tcyb.2019.2928174 |
0.41 |
|
2019 |
Hu J, Chen Y, Yi Z. Automated segmentation of macular edema in OCT using deep neural networks. Medical Image Analysis. 55: 216-227. PMID 31096135 DOI: 10.1016/j.media.2019.05.002 |
0.352 |
|
2019 |
Yang S, Zhang L, He X, Yi Z. Learning Manifold Structures With Subspace Segmentations. Ieee Transactions On Cybernetics. PMID 30794522 DOI: 10.1109/Tcyb.2019.2895497 |
0.411 |
|
2019 |
Gou J, Qiu W, Yi Z, Xu Y, Mao Q, Zhan Y. A Local Mean Representation-based K -Nearest Neighbor Classifier Acm Transactions On Intelligent Systems and Technology. 10: 29. DOI: 10.1145/3319532 |
0.31 |
|
2019 |
He Z, Yen GG, Yi Z. Robust Multiobjective Optimization via Evolutionary Algorithms Ieee Transactions On Evolutionary Computation. 23: 316-330. DOI: 10.1109/Tevc.2018.2859638 |
0.318 |
|
2019 |
Sun Y, Yen GG, Yi Z. Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations Ieee Transactions On Evolutionary Computation. 23: 89-103. DOI: 10.1109/Tevc.2018.2808689 |
0.447 |
|
2019 |
Sun Y, Yen GG, Yi Z. IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems Ieee Transactions On Evolutionary Computation. 23: 173-187. DOI: 10.1109/Tevc.2018.2791283 |
0.383 |
|
2019 |
Gao Z, Li J, Guo J, Chen Y, Yi Z, Zhong J. Diagnosis of Diabetic Retinopathy Using Deep Neural Networks Ieee Access. 7: 3360-3370. DOI: 10.1109/Access.2018.2888639 |
0.329 |
|
2019 |
Zhang W, Zhong J, Yang S, Gao Z, Hu J, Chen Y, Yi Z. Automated identification and grading system of diabetic retinopathy using deep neural networks Knowledge-Based Systems. 175: 12-25. DOI: 10.1016/J.KNOSYS.2019.03.016 |
0.403 |
|
2019 |
Chen Y, Yi Z. Locality-constrained least squares regression for subspace clustering Knowledge Based Systems. 163: 51-56. DOI: 10.1016/J.Knosys.2018.08.014 |
0.36 |
|
2019 |
Wang Y, Mao H, Yi Z. Stem cell motion-tracking by using deep neural networks with multi-output Neural Computing and Applications. 31: 3455-3467. DOI: 10.1007/S00521-017-3291-2 |
0.33 |
|
2019 |
Zhou Y, Zhang L, Yi Z. Predicting movie box-office revenues using deep neural networks Neural Computing and Applications. 31: 1855-1865. DOI: 10.1007/S00521-017-3162-X |
0.408 |
|
2018 |
Qi X, Zhang L, Chen Y, Pi Y, Chen Y, Lv Q, Yi Z. Automated diagnosis of breast ultrasonography images using deep neural networks. Medical Image Analysis. 52: 185-198. PMID 30594771 DOI: 10.1016/j.media.2018.12.006 |
0.37 |
|
2018 |
Li X, Lv J, Yi Z. Outlier Detection Using Structural Scores in a High-Dimensional Space. Ieee Transactions On Cybernetics. PMID 30418896 DOI: 10.1109/TCYB.2018.2876615 |
0.326 |
|
2018 |
Wang J, Ju R, Chen Y, Zhang L, Hu J, Wu Y, Dong W, Zhong J, Yi Z. Automated retinopathy of prematurity screening using deep neural networks. Ebiomedicine. PMID 30166272 DOI: 10.1016/j.ebiom.2018.08.033 |
0.308 |
|
2018 |
Hu J, Chen Y, Zhong J, Ju R, Yi Z. Automated Analysis for Retinopathy of Prematurity by Deep Neural Networks. Ieee Transactions On Medical Imaging. PMID 30080144 DOI: 10.1109/TMI.2018.2863562 |
0.39 |
|
2018 |
Fu M, Qu H, Yi Z, Lu L, Liu Y. A Novel Deep Learning-Based Collaborative Filtering Model for Recommendation System. Ieee Transactions On Cybernetics. PMID 29994436 DOI: 10.1109/TCYB.2018.2795041 |
0.341 |
|
2018 |
Zhang L, Yi Z, Amari SI. Theoretical Study of Oscillator Neurons in Recurrent Neural Networks. Ieee Transactions On Neural Networks and Learning Systems. PMID 29994374 DOI: 10.1109/TNNLS.2018.2793911 |
0.305 |
|
2018 |
Zhang M, Qu H, Belatreche A, Chen Y, Yi Z. A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons. Ieee Transactions On Neural Networks and Learning Systems. PMID 29993588 DOI: 10.1109/TNNLS.2018.2833077 |
0.35 |
|
2018 |
Sun Y, Yen GG, Yi Z. Improved Regularity Model-Based EDA for Many-Objective Optimization Ieee Transactions On Evolutionary Computation. 22: 662-678. DOI: 10.1109/Tevc.2018.2794319 |
0.362 |
|
2018 |
Xu X, Xiao S, Yi Z, Peng X, Liu Y. Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning Ieee Transactions On Cognitive and Developmental Systems. 10: 280-289. DOI: 10.1109/TCDS.2017.2686983 |
0.365 |
|
2018 |
Xu X, Guo Q, Guo J, Yi Z. DeepCXray: Automatically Diagnosing Diseases on Chest X-Rays Using Deep Neural Networks Ieee Access. 6: 66972-66983. DOI: 10.1109/Access.2018.2875406 |
0.341 |
|
2018 |
Yan M, Guo J, Tian W, Yi Z. Symmetric convolutional neural network for mandible segmentation Knowledge Based Systems. 159: 63-71. DOI: 10.1016/J.Knosys.2018.06.003 |
0.407 |
|
2018 |
Luo C, Li T, Chen H, Fujita H, Yi Z. Incremental rough set approach for hierarchical multicriteria classification Information Sciences. 429: 72-87. DOI: 10.1016/j.ins.2017.11.004 |
0.354 |
|
2018 |
Chen Y, Zhang L, Yi Z. Subspace clustering using a low-rank constrained autoencoder Information Sciences. 424: 27-38. DOI: 10.1016/j.ins.2017.09.047 |
0.373 |
|
2017 |
Pu YF, Siarry P, Chatterjee A, Wang ZN, Yi Z, Liu YG, Zhou JL, Wang Y. A Fractional-Order Variational Framework for Retinex: Fractional-Order Partial Differential Equation Based Formulation for Multi-scale Nonlocal Contrast Enhancement with Texture Preserving. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 29990194 DOI: 10.1109/TIP.2017.2779601 |
0.348 |
|
2017 |
Wang J, Zhang L, Chen Y, Yi Z. A New Delay Connection for Long Short-Term Memory Networks. International Journal of Neural Systems. 1750061. PMID 29382286 DOI: 10.1142/S0129065717500617 |
0.394 |
|
2017 |
Feng M, Qu H, Yi Z, Kurths J. Subnormal Distribution Derived From Evolving Networks With Variable Elements. Ieee Transactions On Cybernetics. PMID 28976328 DOI: 10.1109/TCYB.2017.2751073 |
0.314 |
|
2017 |
Wang L, Zhang L, Yi Z. Trajectory Predictor by Using Recurrent Neural Networks in Visual Tracking. Ieee Transactions On Cybernetics. 47: 3172-3183. PMID 28885144 DOI: 10.1109/TCYB.2017.2705345 |
0.332 |
|
2017 |
Chen D, Lv J, Yi Z. Graph regularized Restricted Boltzmann Machine. Ieee Transactions On Neural Networks and Learning Systems. PMID 28504950 DOI: 10.1109/TNNLS.2017.2692773 |
0.373 |
|
2017 |
Wang J, Zhang L, Guo Q, Yi Z. Recurrent Neural Networks With Auxiliary Memory Units. Ieee Transactions On Neural Networks and Learning Systems. PMID 28333646 DOI: 10.1109/TNNLS.2017.2677968 |
0.34 |
|
2017 |
Yang ZQ, Wei XY, Yi Z, Friedland G. Contextual Noise Reduction for Domain Adaptive Near-Duplicate Retrieval on Merchandize Images. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 28212085 DOI: 10.1109/TIP.2017.2669842 |
0.315 |
|
2017 |
Sun Y, Yen GG, Yi Z. Reference line-based Estimation of Distribution Algorithm for many-objective optimization Knowledge-Based Systems. 132: 129-143. DOI: 10.1016/J.Knosys.2017.06.021 |
0.343 |
|
2017 |
Shi X, Chen G, Heng PA, Yi Z. Tracking topology structure adaptively with deep neural networks Neural Computing and Applications. 30: 3317-3326. DOI: 10.1007/s00521-017-2906-y |
0.413 |
|
2016 |
Peng X, Zhao B, Yan R, Tang H, Yi Z. Bag of Events: An Efficient Probability-Based Feature Extraction Method for AER Image Sensors. Ieee Transactions On Neural Networks and Learning Systems. PMID 28113870 DOI: 10.1109/TNNLS.2016.2536741 |
0.332 |
|
2016 |
Xie X, Qu H, Yi Z, Kurths J. Efficient Training of Supervised Spiking Neural Network via Accurate Synaptic-Efficiency Adjustment Method. Ieee Transactions On Neural Networks and Learning Systems. PMID 28113824 DOI: 10.1109/TNNLS.2016.2541339 |
0.419 |
|
2016 |
Zhen L, Peng D, Yi Z, Xiang Y, Chen P. Underdetermined Blind Source Separation Using Sparse Coding. Ieee Transactions On Neural Networks and Learning Systems. PMID 28113526 DOI: 10.1109/TNNLS.2016.2610960 |
0.334 |
|
2016 |
Peng X, Lu C, Yi Z, Tang H. Connections Between Nuclear-Norm and Frobenius-Norm-Based Representations. Ieee Transactions On Neural Networks and Learning Systems. PMID 27723605 DOI: 10.1109/TNNLS.2016.2608834 |
0.302 |
|
2016 |
Pu YF, Yi Z, Zhou JL. Fractional Hopfield Neural Networks: Fractional Dynamic Associative Recurrent Neural Networks. Ieee Transactions On Neural Networks and Learning Systems. PMID 27429451 DOI: 10.1109/TNNLS.2016.2582512 |
0.399 |
|
2016 |
Peng X, Lu J, Yi Z, Yan R. Automatic Subspace Learning via Principal Coefficients Embedding. Ieee Transactions On Cybernetics. PMID 27305691 DOI: 10.1109/TCYB.2016.2572306 |
0.357 |
|
2016 |
Xie X, Qu H, Yi Z, Kurths J. Efficient Training of Supervised Spiking Neural Network via Accurate Synaptic-Efficiency Adjustment Method. Ieee Transactions On Neural Networks and Learning Systems. PMID 27046911 DOI: 10.1109/TNNLS.2016.2541339 |
0.308 |
|
2016 |
Peng X, Yu Z, Yi Z, Tang H. Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering. Ieee Transactions On Cybernetics. PMID 26992192 DOI: 10.1109/TCYB.2016.2536752 |
0.345 |
|
2016 |
Guo Q, Zhang H, Yi Z. High-Order Measurements for Residual Classifiers. Ieee Transactions On Neural Networks and Learning Systems. PMID 26812741 DOI: 10.1109/TNNLS.2016.2515128 |
0.327 |
|
2016 |
Chen Y, Zhang L, Yi Z. A Novel Low Rank Representation Algorithm for Subspace Clustering International Journal of Pattern Recognition and Artificial Intelligence. 30. DOI: 10.1142/S0218001416500075 |
0.368 |
|
2016 |
Chen J, Zhang H, Mao H, Sang Y, Yi Z. Symmetric low-rank representation for subspace clustering Neurocomputing. 173: 1192-1202. DOI: 10.1016/j.neucom.2015.08.077 |
0.362 |
|
2016 |
Sang Y, Lv J, Qu H, Yi Z. Shortest path computation using pulse-coupled neural networks with restricted autowave Knowledge Based Systems. 114: 1-11. DOI: 10.1016/J.Knosys.2016.08.027 |
0.381 |
|
2016 |
Luo C, Li T, Chen H, Fujita H, Yi Z. Efficient updating of probabilistic approximations with incremental objects Knowledge-Based Systems. 109: 71-83. DOI: 10.1016/j.knosys.2016.06.025 |
0.375 |
|
2016 |
Guo Q, Jia J, Shen G, Zhang L, Cai L, Yi Z. Learning robust uniform features for cross-media social data by using cross autoencoders Knowledge-Based Systems. 102: 64-75. DOI: 10.1016/j.knosys.2016.03.028 |
0.322 |
|
2016 |
Luo C, Li T, Yi Z, Fujita H. Matrix approach to decision-theoretic rough sets for evolving data Knowledge-Based Systems. 99: 123-134. DOI: 10.1016/j.knosys.2016.01.042 |
0.322 |
|
2016 |
Xiong T, Zhang L, Yi Z. Double Gaussian mixture model for image segmentation with spatial relationships Journal of Visual Communication and Image Representation. 34: 135-145. DOI: 10.1016/j.jvcir.2015.10.018 |
0.341 |
|
2016 |
Li L, Lv J, Yi Z. A non-negative representation learning algorithm for selecting neighbors Machine Learning. 102: 133-153. DOI: 10.1007/s10994-015-5501-4 |
0.382 |
|
2015 |
Peng X, Tang H, Zhang L, Yi Z, Xiao S. A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data. Ieee Transactions On Neural Networks and Learning Systems. PMID 26540718 DOI: 10.1109/TNNLS.2015.2490080 |
0.306 |
|
2015 |
Yang S, Yi Z, He X, Li X. A Class of Manifold Regularized Multiplicative Update Algorithms for Image Clustering. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 26186793 DOI: 10.1109/Tip.2015.2457033 |
0.393 |
|
2015 |
Feng M, Qu H, Yi Z, Xie X, Kurths J. Evolving Scale-Free Networks by Poisson Process: Modeling and Degree Distribution. Ieee Transactions On Cybernetics. PMID 25956002 DOI: 10.1109/TCYB.2015.2424425 |
0.393 |
|
2015 |
Lv JC, Yi Z, Li Y. Non-divergence of stochastic discrete time algorithms for PCA neural networks Ieee Transactions On Neural Networks and Learning Systems. 26: 394-399. PMID 25608296 DOI: 10.1109/TNNLS.2014.2312421 |
0.436 |
|
2015 |
Peng X, Yan R, Zhao B, Tang H, Yi Z. Fast low rank representation based spatial pyramid matching for image classification Knowledge Based Systems. 90: 14-22. DOI: 10.1016/J.Knosys.2015.10.005 |
0.361 |
|
2015 |
Kuang Y, Zhang L, Yi Z. Constructing L1-graphs for subspace learning via recurrent neural networks Pattern Analysis and Applications. 18: 817-828. DOI: 10.1007/s10044-014-0370-1 |
0.383 |
|
2015 |
Sun Y, Mao H, Guo Q, Yi Z. Learning a good representation with unsymmetrical auto-encoder Neural Computing and Applications. DOI: 10.1007/s00521-015-1939-3 |
0.344 |
|
2014 |
Yang S, Yi Z, Ye M, He X. Convergence Analysis of Graph Regularized Non-negative Matrix Factorization Ieee Transactions On Knowledge and Data Engineering. 26: 2151-2165. DOI: 10.1109/Tkde.2013.98 |
0.404 |
|
2014 |
Feng M, Qu H, Yi Z. Highest Degree Likelihood Search Algorithm Using a State Transition Matrix for Complex Networks Ieee Transactions On Circuits and Systems I-Regular Papers. 61: 2941-2950. DOI: 10.1109/Tcsi.2014.2333677 |
0.435 |
|
2014 |
Zhang H, Yi Z, Peng X. fLRR: fast low-rank representation using Frobenius-norm Electronics Letters. 50: 936-938. DOI: 10.1049/El.2014.1396 |
0.352 |
|
2014 |
Zhen L, Yi Z, Peng X, Peng D. Locally linear representation for image clustering Electronics Letters. 50: 942-943. DOI: 10.1049/El.2014.0666 |
0.325 |
|
2014 |
Kuang Y, Zhang L, Yi Z. An adaptive rank-sparsity K-SVD algorithm for image sequence denoising Pattern Recognition Letters. 45: 46-54. DOI: 10.1016/J.Patrec.2014.03.003 |
0.363 |
|
2014 |
Peng X, Zhang L, Yi Z, Tan KK. Learning Locality-Constrained Collaborative Representation for Robust Face Recognition Pattern Recognition. 47: 2794-2806. DOI: 10.1016/J.Patcog.2014.03.013 |
0.364 |
|
2014 |
Chen Y, Zhang L, Yi Z. Nearest convex hull classification by using Lotka–Volterra recurrent neural networks Neurocomputing. 138: 157-166. DOI: 10.1016/j.neucom.2014.02.014 |
0.452 |
|
2014 |
Li Y, Yi Z, Lv JC. Support vector set selection using pulse-coupled neural networks Neural Computing and Applications. 25: 401-410. DOI: 10.1007/S00521-013-1506-8 |
0.357 |
|
2014 |
Kuang Y, Zhang L, Yi Z. Image Denoising Via Sparse Dictionaries Constructed by Subspace Learning Circuits Systems and Signal Processing. 33: 2151-2171. DOI: 10.1007/S00034-013-9734-9 |
0.385 |
|
2013 |
Qu H, Yi Z, Yang SX. Efficient shortest-path-tree computation in network routing based on pulse-coupled neural networks. Ieee Transactions On Cybernetics. 43: 995-1010. PMID 23144039 DOI: 10.1109/Tsmcb.2012.2221695 |
0.434 |
|
2013 |
Waqas J, Yi Z, Zhang L. Collaborative neighbor representation based classification using l2-minimization approach Pattern Recognition Letters. 34: 201-208. DOI: 10.1016/J.Patrec.2012.09.024 |
0.378 |
|
2013 |
Peng X, Yi Z, Wei X, Peng D, Sang Y. Free-gram phrase identification for modeling Chinese text Information Processing Letters. 113: 137-144. DOI: 10.1016/J.Ipl.2012.11.005 |
0.334 |
|
2013 |
Kuang Y, Yi Z, Zhang L. An improved code selection algorithm for fault prediction Neural Computing and Applications. 22: 1763-1772. DOI: 10.1007/S00521-012-1203-Z |
0.313 |
|
2013 |
Zheng B, Yi Z. Using competitive layer model implemented by Lotka–Volterra recurrent neural networks for detecting brain activated regions from fMRI data Neural Computing and Applications. 22: 395-404. DOI: 10.1007/S00521-012-0972-8 |
0.335 |
|
2012 |
Peng D, Yi Z, Xiang Y, Zhang H. A globally convergent MC algorithm with an adaptive learning rate. Ieee Transactions On Neural Networks and Learning Systems. 23: 359-65. PMID 24808515 DOI: 10.1109/TNNLS.2011.2179310 |
0.447 |
|
2012 |
Zheng B, Yi Z. A new method based on the CLM of the LV RNN for brain MR image segmentation Digital Signal Processing. 22: 497-505. DOI: 10.1016/J.Dsp.2012.01.004 |
0.326 |
|
2012 |
Qu H, Yang SX, Yi Z, Wang X. A novel neural network method for shortest path tree computation Applied Soft Computing Journal. 12: 3246-3259. DOI: 10.1016/J.Asoc.2012.05.007 |
0.424 |
|
2011 |
Zhang L, Yi Z. Selectable and Unselectable Sets of Neurons in Recurrent Neural Networks With Saturated Piecewise Linear Transfer Function Ieee Transactions On Neural Networks. 22: 1021-1031. PMID 21609880 DOI: 10.1109/Tnn.2011.2132762 |
0.325 |
|
2011 |
Xu F, Yi Z. Convergence analysis of a class of simplified background neural networks with two subnetworks Neurocomputing. 74: 3877-3883. DOI: 10.1016/j.neucom.2011.08.002 |
0.42 |
|
2011 |
Zhang C, Yi Z. Scale-free fully informed particle swarm optimization algorithm Information Sciences. 181: 4550-4568. DOI: 10.1016/J.Ins.2011.02.026 |
0.323 |
|
2011 |
Xu F, Yi Z. Continuous attractors of a class of neural networks with a large number of neurons Computers and Mathematics With Applications. 62: 3785-3795. DOI: 10.1016/j.camwa.2011.09.027 |
0.405 |
|
2010 |
Yu J, Yi Z, Zhou J. Continuous Attractors of Lotka–Volterra Recurrent Neural Networks With Infinite Neurons Ieee Transactions On Neural Networks. 21: 1690-1695. PMID 20813637 DOI: 10.1109/Tnn.2010.2067224 |
0.392 |
|
2010 |
Tang H, Li H, Yi Z. A Discrete-Time Neural Network for Optimization Problems With Hybrid Constraints Ieee Transactions On Neural Networks. 21: 1184-1189. PMID 20659866 DOI: 10.1109/Tnn.2010.2049368 |
0.393 |
|
2010 |
Yi Z. Foundations of implementing the competitive layer model by lotkavolterra recurrent neural networks Ieee Transactions On Neural Networks. 21: 494-507. PMID 20142165 DOI: 10.1109/TNN.2009.2039758 |
0.361 |
|
2010 |
Lv JC, Tan KK, Yi Z, Huang S. A Family of Fuzzy Learning Algorithms for Robust Principal Component Analysis Neural Networks Ieee Transactions On Fuzzy Systems. 18: 217-226. DOI: 10.1109/Tfuzz.2009.2038711 |
0.404 |
|
2010 |
Tan KK, Lv JC, Yi Z, Huang S. Adaptive multiple minor directions extraction in parallel using a PCA neural network Theoretical Computer Science. 411: 4200-4215. DOI: 10.1016/J.Tcs.2010.07.021 |
0.462 |
|
2010 |
Zuo L, Yi Z, Lv JC. An improved working set selection for SMO-type decomposition method Nonlinear Analysis-Real World Applications. 11: 3834-3841. DOI: 10.1016/J.Nonrwa.2010.02.013 |
0.401 |
|
2010 |
Zhang C, Yi Z. A danger theory inspired artificial immune algorithm for on-line supervised two-class classification problem Neurocomputing. 73: 1244-1255. DOI: 10.1016/J.Neucom.2010.01.005 |
0.404 |
|
2010 |
Wan M, Yi Z, Lv JC, Zhou J. Stability and chaos analysis for an ICA algorithm Computers & Mathematics With Applications. 60: 1810-1827. DOI: 10.1016/J.Camwa.2010.07.013 |
0.361 |
|
2010 |
Sang Y, Yi Z, Zhou J. Spatial Point-Data Reduction Using Pulse Coupled Neural Network Neural Processing Letters. 32: 11-29. DOI: 10.1007/S11063-010-9140-2 |
0.424 |
|
2010 |
Yang S, Yi Z. Convergence Analysis of Non-Negative Matrix Factorization for BSS Algorithm Neural Processing Letters. 31: 45-64. DOI: 10.1007/S11063-009-9126-0 |
0.365 |
|
2009 |
Qu H, Yang SX, Willms AR, Yi Z. Real-time robot path planning based on a modified pulse-coupled neural network model. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 20: 1724-39. PMID 19775961 DOI: 10.1109/Tnn.2009.2029858 |
0.321 |
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2009 |
Yi Z, Zhang L, Yu J, Tan KK. Permitted and forbidden sets in discrete-time linear threshold recurrent neural networks. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 20: 952-63. PMID 19423436 DOI: 10.1109/TNN.2009.2014373 |
0.428 |
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2009 |
Yu J, Yi Z, Zhang L. Representations of Continuous Attractors of Recurrent Neural Networks Ieee Transactions On Neural Networks. 20: 368-372. PMID 19150791 DOI: 10.1109/Tnn.2008.2010771 |
0.403 |
|
2009 |
Lv JC, Tan KK, Yi Z, Huang S. Convergence Analysis of a Class of HyvÄrinen–Oja's ICA Learning Algorithms With Constant Learning Rates Ieee Transactions On Signal Processing. 57: 1811-1824. DOI: 10.1109/Tsp.2009.2013887 |
0.376 |
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2009 |
Zhang L, Yi Z, Zhang SL, Heng PA. Activity Invariant Sets and Exponentially Stable Attractors of Linear Threshold Discrete-Time Recurrent Neural Networks Ieee Transactions On Automatic Control. 54: 1341-1347. DOI: 10.1109/Tac.2009.2015552 |
0.364 |
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2009 |
Zhang C, Yi Z. Tree structured artificial immune network with self-organizing reaction operator Neurocomputing. 73: 336-349. DOI: 10.1016/J.Neucom.2009.08.007 |
0.353 |
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2009 |
Zhang L, Yi Z, Yu J, Heng PA. Some multistability properties of bidirectional associative memory recurrent neural networks with unsaturating piecewise linear transfer functions Neurocomputing. 72: 3809-3817. DOI: 10.1016/j.neucom.2009.05.008 |
0.388 |
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2009 |
Li M, Yi Z, Zhu M. Solving TSP by using Lotka-Volterra neural networks Neurocomputing. 72: 3873-3880. DOI: 10.1016/J.Neucom.2009.05.002 |
0.403 |
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2009 |
Wang X, Qu H, Yi Z. A modified pulse coupled neural network for shortest-path problem Neurocomputing. 72: 3028-3033. DOI: 10.1016/J.Neucom.2009.04.005 |
0.409 |
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2009 |
Shang L, Yi Z, Ji L. Constrained ZIP code segmentation by a PCNN-based thinning algorithm Neurocomputing. 72: 1755-1762. DOI: 10.1016/J.Neucom.2008.07.010 |
0.368 |
|
2009 |
Peng D, Yi Z, Xiang Y. A unified learning algorithm to extract principal and minor components Digital Signal Processing. 19: 640-649. DOI: 10.1016/J.Dsp.2009.03.004 |
0.383 |
|
2009 |
Peng D, Xiang Y, Yi Z. A new adaptive blind channel identification algorithm Chaos Solitons & Fractals. 41: 354-359. DOI: 10.1016/J.Chaos.2008.01.002 |
0.342 |
|
2009 |
Huang D, Yi Z, Pu X. A New Incremental PCA Algorithm With Application to Visual Learning and Recognition Neural Processing Letters. 30: 171-185. DOI: 10.1007/S11063-009-9117-1 |
0.392 |
|
2009 |
Qu H, Yi Z, Wang X. A Winner-Take-All Neural Networks of N Linear Threshold Neurons without Self-Excitatory Connections Neural Processing Letters. 29: 143-154. DOI: 10.1007/S11063-009-9100-X |
0.403 |
|
2008 |
Zhang L, Yi Z, Yu J. Multiperiodicity and Attractivity of Delayed Recurrent Neural Networks With Unsaturating Piecewise Linear Transfer Functions Ieee Transactions On Neural Networks. 19: 158-167. PMID 18269947 DOI: 10.1109/Tnn.2007.904015 |
0.391 |
|
2008 |
Ji L, Yi Z. Fingerprint orientation field estimation using ridge projection Pattern Recognition. 41: 1508-1520. DOI: 10.1016/j.patcog.2007.09.003 |
0.304 |
|
2008 |
Qu H, Yi Z, Wang X. Switching analysis of 2-D neural networks with nonsaturating linear threshold transfer functions Neurocomputing. 72: 413-419. DOI: 10.1016/J.Neucom.2007.12.014 |
0.412 |
|
2008 |
Peng D, Yi Z, Lv J, Xiang Y. Letters: A neural networks learning algorithm for minor component analysis and its convergence analysis Neurocomputing. 71: 1748-1752. DOI: 10.1016/J.Neucom.2007.11.012 |
0.435 |
|
2008 |
Huang D, Yi Z. Shape recovery by a generalized topology preserving SOM Neurocomputing. 72: 573-580. DOI: 10.1016/j.neucom.2007.11.011 |
0.323 |
|
2008 |
Huang D, Yi Z, Pu X. A new local PCA-SOM algorithm Neurocomputing. 71: 3544-3552. DOI: 10.1016/j.neucom.2007.10.004 |
0.391 |
|
2008 |
Li Y, Yi Z. An algorithm for extracting fetal electrocardiogram Neurocomputing. 71: 1538-1542. DOI: 10.1016/J.Neucom.2007.05.001 |
0.329 |
|
2008 |
Peng D, Yi Z. Global convergence of an adaptive minor component extraction algorithm Chaos Solitons & Fractals. 35: 550-561. DOI: 10.1016/J.Chaos.2006.05.051 |
0.418 |
|
2008 |
Zhang H, Yi Z, Zhang L. Continuous attractors of a class of recurrent neural networks Computers & Mathematics With Applications. 56: 3130-3137. DOI: 10.1016/J.Camwa.2008.07.035 |
0.421 |
|
2008 |
Peng D, Yi Z, Lv JC, Xiang Y. A stable MCA learning algorithm Computers & Mathematics With Applications. 56: 847-860. DOI: 10.1016/J.Camwa.2008.01.016 |
0.485 |
|
2008 |
Lv JC, Tan KK, Yi Z, Huang S. Stability and Chaos of a Class of Learning Algorithms for ICA Neural Networks Neural Processing Letters. 28: 35-47. DOI: 10.1007/S11063-008-9080-2 |
0.444 |
|
2008 |
Pu X, Yi Z, Fang Z. Holistic and partial facial features fusion by binary particle swarm optimization Neural Computing and Applications. 17: 481-488. DOI: 10.1007/S00521-007-0148-0 |
0.358 |
|
2008 |
Ji L, Yi Z, Shang L. An improved pulse coupled neural network for image processing Neural Computing and Applications. 17: 255-263. DOI: 10.1007/S00521-007-0119-5 |
0.353 |
|
2007 |
Peng D, Yi Z, Luo W. Convergence analysis of a simple minor component analysis algorithm Neural Networks. 20: 842-850. PMID 17765471 DOI: 10.1016/J.Neunet.2007.07.001 |
0.388 |
|
2007 |
Lv JC, Yi Z, Tan KK. Determination of the number of principal directions in a biologically plausible PCA model. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 18: 910-6. PMID 17526356 DOI: 10.1109/TNN.2007.891193 |
0.453 |
|
2007 |
Ye M, Yi Z, Tan K. A ROBUST AND GLOBALLY CONVERGENT PCA LEARNING ALGORITHM Control and Intelligent Systems. 35. DOI: 10.2316/Journal.201.2007.2.201-1579 |
0.44 |
|
2007 |
Lv JC, Yi Z, Tan KK. Global Convergence of GHA Learning Algorithm With Nonzero-Approaching Adaptive Learning Rates Ieee Transactions On Neural Networks. 18: 1557-1571. DOI: 10.1109/Tnn.2007.895824 |
0.393 |
|
2007 |
Peng D, Yi Z. Convergence analysis of the OJAn MCA learning algorithm by the deterministic discrete time method Theoretical Computer Science. 378: 87-100. DOI: 10.1016/J.Tcs.2007.03.010 |
0.399 |
|
2007 |
Liu G, Yi Z, Yang S. Letters: A hierarchical intrusion detection model based on the PCA neural networks Neurocomputing. 70: 1561-1568. DOI: 10.1016/J.Neucom.2006.10.146 |
0.425 |
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2007 |
Shang L, Yi Z. A class of binary images thinning using two PCNNs Neurocomputing. 70: 1096-1101. DOI: 10.1016/j.neucom.2006.08.006 |
0.368 |
|
2007 |
Qu H, Yi Z. A new algorithm for finding the shortest paths using PCNNs Chaos Solitons & Fractals. 33: 1220-1229. DOI: 10.1016/J.Chaos.2006.01.097 |
0.423 |
|
2007 |
Lv JC, Yi Z. Some chaotic behaviors in a MCA learning algorithm with a constant learning rate Chaos Solitons & Fractals. 33: 1040-1047. DOI: 10.1016/J.Chaos.2006.01.064 |
0.345 |
|
2007 |
Zhang L, Yi Z. Dynamical properties of background neural networks with uniform firing rate and background input Chaos Solitons & Fractals. 33: 979-985. DOI: 10.1016/J.Chaos.2006.01.061 |
0.395 |
|
2007 |
Lv JC, Yi Z. Convergence analysis of Chauvin’s PCA learning algorithm with a constant learning rate Chaos Solitons & Fractals. 32: 1562-1571. DOI: 10.1016/J.Chaos.2005.12.007 |
0.372 |
|
2007 |
Lv JC, Yi Z. Stability and chaos of LMSER PCA learning algorithm Chaos Solitons & Fractals. 32: 1440-1447. DOI: 10.1016/J.Chaos.2005.11.076 |
0.358 |
|
2007 |
Qu H, Yi Z, Tang H. A columnar competitive model for solving multi-traveling salesman problem☆ Chaos Solitons & Fractals. 31: 1009-1019. DOI: 10.1016/J.Chaos.2005.10.059 |
0.447 |
|
2007 |
Tang H, Tan KC, Yi Z. Competitive neural networks for image segmentation Studies in Computational Intelligence. 53: 129-144. DOI: 10.1007/978-3-540-69226-3_9 |
0.378 |
|
2007 |
Tang H, Tan KC, Yi Z. Parameter settings of Hopfield networks applied to traveling salesman problems Studies in Computational Intelligence. 53: 99-116. DOI: 10.1007/978-3-540-69226-3_7 |
0.359 |
|
2007 |
Tang H, Tan KC, Yi Z. Feedforward neural networks and training methods Studies in Computational Intelligence. 53: 9-21. DOI: 10.1007/978-3-540-69226-3_2 |
0.354 |
|
2007 |
Tang H, Tan KC, Yi Z. Background neural networks with uniform firing rate and background input Studies in Computational Intelligence. 53: 279-288. DOI: 10.1007/978-3-540-69226-3_17 |
0.371 |
|
2007 |
Tang H, Tan KC, Yi Z. Analysis of cyclic dynamics for networks of linear threshold neurons Studies in Computational Intelligence. 53: 211-234. DOI: 10.1007/978-3-540-69226-3_14 |
0.334 |
|
2007 |
Tang H, Tan KC, Yi Z. Qualitative analysis for neural networks with LT transfer functions Studies in Computational Intelligence. 53: 191-209. DOI: 10.1007/978-3-540-69226-3_13 |
0.358 |
|
2007 |
Tang H, Tan KC, Yi Z. A new algorithm for finding the shortest paths using PCNN Studies in Computational Intelligence. 53: 177-189. DOI: 10.1007/978-3-540-69226-3_12 |
0.32 |
|
2006 |
Yi Z, Lv JC, Zhang L. Output convergence analysis for a class of delayed recurrent neural networks with time-varying inputs. Ieee Transactions On Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society. 36: 87-95. PMID 16468568 |
0.308 |
|
2006 |
Qu H, Yi Z, Tang H. Improving local minima of columnar competitive model for TSPs Ieee Transactions On Circuits and Systems. 53: 1353-1362. DOI: 10.1109/Tcsi.2006.874180 |
0.417 |
|
2006 |
Lv JC, Yi Z, Tan KK. Global convergence of Oja's PCA learning algorithm with a non-zero-approaching adaptive learning rate Theoretical Computer Science. 367: 286-307. DOI: 10.1016/J.Tcs.2006.07.012 |
0.345 |
|
2006 |
Shang L, Lv JC, Yi Z. Letters: Rigid medical image registration using PCA neural network Neurocomputing. 69: 1717-1722. DOI: 10.1016/J.Neucom.2006.01.007 |
0.313 |
|
2006 |
Lv JC, Yi Z, Tan KK. Convergence analysis of Xu's LMSER learning algorithm via deterministic discrete time system method☆ Neurocomputing. 70: 362-372. DOI: 10.1016/J.Neucom.2006.01.003 |
0.363 |
|
2006 |
Zhang Z, Yi Z. Letters: Robust extraction of specific signals with temporal structure Neurocomputing. 69: 888-893. DOI: 10.1016/J.Neucom.2005.09.008 |
0.377 |
|
2006 |
Zhang Z, Yi Z. Letters: Extraction of temporally correlated sources with its application to non-invasive fetal electrocardiogram extraction Neurocomputing. 69: 894-899. DOI: 10.1016/J.Neucom.2005.08.004 |
0.331 |
|
2006 |
Zhang Z, Yi Z. Letters: Extraction of a source signal whose kurtosis value lies in a specific range Neurocomputing. 69: 900-904. DOI: 10.1016/J.Neucom.2005.07.002 |
0.304 |
|
2006 |
Li P, Yi Z, Zhang L. Global synchronization of a class of delayed complex networks Chaos Solitons & Fractals. 30: 903-908. DOI: 10.1016/J.Chaos.2005.08.169 |
0.367 |
|
2006 |
Lv JC, Yi Z. Global Convergence of a PCA Learning Algorithm with a Constant Learning Rate Computers & Mathematics With Applications. 52: 1425-1438. DOI: 10.1016/J.Camwa.2006.08.028 |
0.348 |
|
2005 |
Yi Z, Ye M, Lv JC, Tan KK. Convergence analysis of a deterministic discrete time system of Oja's PCA learning algorithm. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 16: 1318-28. PMID 16342477 DOI: 10.1109/Tnn.2005.852236 |
0.391 |
|
2005 |
Yi Z, Tan KK. Global convergence of Lotka-Volterra recurrent neural networks with delays Ieee Transactions On Circuits and Systems I: Regular Papers. 52: 2482-2489. DOI: 10.1109/TCSI.2005.853940 |
0.411 |
|
2004 |
Tang H, Tan KC, Yi Z. A columnar competitive model for solving combinatorial optimization problems. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 15: 1568-73. PMID 15565783 DOI: 10.1109/TNN.2004.836244 |
0.426 |
|
2004 |
Yi Z, Tan KK. Multistability of discrete-time recurrent neural networks with unsaturating piecewise linear activation functions. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 15: 329-36. PMID 15384526 DOI: 10.1109/TNN.2004.824272 |
0.399 |
|
2004 |
Tan KC, Tang HJ, Yi Z. Global exponential stability of discrete-time neural networks for constrained quadratic optimization Neurocomputing. 56: 399-406. DOI: 10.1016/S0925-2312(03)00442-9 |
0.412 |
|
2004 |
Yi Z, Fu Y, Tang HJ. Neural networks based approach for computing eigenvectors and eigenvalues of symmetric matrix Computers & Mathematics With Applications. 47: 1155-1164. DOI: 10.1016/S0898-1221(04)90110-1 |
0.399 |
|
2004 |
Yi Z. Global exponential convergence of recurrent neural networks with variable delays Theoretical Computer Science. 312: 281-293. DOI: 10.1016/j.tcs.2003.09.006 |
0.399 |
|
2004 |
Ye M, Yi Z, Lv J. A globally convergent learning algorithm for PCA neural networks Neural Computing and Applications. 14: 18-24. DOI: 10.1007/S00521-004-0435-Y |
0.482 |
|
2002 |
Yi Z, Tan KK. Dynamic stability conditions for Lotka-Volterra recurrent neural networks with delays. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 66: 011910. PMID 12241387 DOI: 10.1103/PhysRevE.66.011910 |
0.408 |
|
2002 |
Yi Z, Heng PA, Vadakkepat P. Absolute periodicity and absolute stability of delayed neural networks Ieee Transactions On Circuits and Systems I: Fundamental Theory and Applications. 49: 256-261. DOI: 10.1109/81.983875 |
0.395 |
|
2001 |
Yi Z, Heng PA, Leung KS. Convergence analysis of cellular neural networks with unbounded delay Ieee Transactions On Circuits and Systems I: Fundamental Theory and Applications. 48: 680-687. DOI: 10.1109/81.928151 |
0.42 |
|
2000 |
Yi Z, Heng P, Fung P. Winner-take-all discrete recurrent neural networks Ieee Transactions On Circuits and Systems Ii: Analog and Digital Signal Processing. 47: 1584-1589. DOI: 10.1109/82.899661 |
0.408 |
|
1999 |
Yi Z, Heng PA, Fu AWC. Estimate of exponential convergence rate and exponential stability for neural networks Ieee Transactions On Neural Networks. 10: 1487-1493. DOI: 10.1109/72.809094 |
0.386 |
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