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ORCIDZhang Yi 0001
章毅
Person information
- unicode name: 章毅
- affiliation: Sichuan University, College of Computer Science, Machine Intelligence Laboratory, Chengdu, Chengdu
- affiliation (PhD 1994): Chinese Academy of Science, Institute of Mathematics, Beijing, China
Other persons with the same name
- Zhang Yi — disambiguation page
- Zhang Yi 0003 — Central China Normal University, Wuhan, China
- Zhang Yi 0004 — Central China Normal University, National Engineering Research Center For E-Learning, Wuhan
- Zhang Yi 0005 — Huazhong Normal University, Wuhan, China
- Zhang Yi 0006 — Alcatel-Lucent Shanghai
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2020 – today
- 2021
[j185]Wenshuang Chen, Jiali Yu, Zhang Yi, Hong Qu:
The effect of coefficients on the continuous attractors in coupled Highway Neural Networks. Neurocomputing 419: 1-8 (2021)- 2020
- [j184]Jianping Gou
, Yuanyuan Yang, Zhang Yi, Jiancheng Lv, Qirong Mao, Yongzhao Zhan:
Discriminative globality and locality preserving graph embedding for dimensionality reduction. Expert Syst. Appl. 144: 113079 (2020) - [j183]Jiali Yu, Zhang Yi, Jinsong Leng:
Line attractors of coupled ring neural networks with block circulant weight matrix. Int. J. Comput. Math. 97(3): 687-699 (2020) - [j182]Tao He, Lei Zhang, Jixiang Guo, Zhang Yi:
Multilabel classification by exploiting data-driven pair-wise label dependence. Int. J. Intell. Syst. 35(9): 1375-1396 (2020) - [j181]Han Wang, Haixian Zhang, Junjie Hu, Ying Song, Sen Bai, Zhang Yi:
DeepEC: An error correction framework for dose prediction and organ segmentation using deep neural networks. Int. J. Intell. Syst. 35(12): 1987-2008 (2020) - [j180]Jingling Wang, Rong Ju, Yuanyuan Chen, Guijun Liu, Zhang Yi:
Automated diagnosis of neonatal encephalopathy on aEEG using deep neural networks. Neurocomputing 398: 95-107 (2020) - [j179]Yong Pi, Yao Chen, Dan Deng, Xiaofeng Qi, Jilan Li, Qing Lv, Zhang Yi:
Automated diagnosis of multi-plane breast ultrasonography images using deep neural networks. Neurocomputing 403: 371-382 (2020) - [j178]Zhentao Gao, Yuanyuan Chen, Zhang Yi:
A novel method to compute the weights of neural networks. Neurocomputing 407: 409-427 (2020) - [j177]Xiuyuan Xu, Chengdi Wang, Jixiang Guo, Lan Yang, Hongli Bai, Weimin Li, Zhang Yi:
DeepLN: A framework for automatic lung nodule detection using multi-resolution CT screening images. Knowl. Based Syst. 189 (2020) - [j176]Yu Wu, Zhang Yi:
Automated detection of kidney abnormalities using multi-feature fusion convolutional neural networks. Knowl. Based Syst. 200: 105873 (2020) - [j175]Junjie Hu, Yuanyuan Chen, Lei Zhang, Zhang Yi:
Surrogate dropout: Learning optimal drop rate through proxy. Knowl. Based Syst. 206: 106340 (2020) - [j174]Lituan Wang, Lei Zhang, Minjuan Zhu, Xiaofeng Qi, Zhang Yi:
Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks. Medical Image Anal. 61: 101665 (2020) - [j173]Tao He, Junjie Hu, Ying Song, Jixiang Guo, Zhang Yi:
Multi-task learning for the segmentation of organs at risk with label dependence. Medical Image Anal. 61: 101666 (2020) - [j172]Xiuyuan Xu, Chengdi Wang, Jixiang Guo, Yuncui Gan, Jianyong Wang, Hongli Bai, Lei Zhang, Weimin Li, Zhang Yi:
MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks. Medical Image Anal. 65: 101772 (2020) - [j171]Yong Pi, Zhen Zhao, Yongzhao Xiang, Yuhao Li, Huawei Cai, Zhang Yi:
Automated diagnosis of bone metastasis based on multi-view bone scans using attention-augmented deep neural networks. Medical Image Anal. 65: 101784 (2020) - [j170]Jianping Gou, Lei Wang, Zhang Yi, Yunhao Yuan, Weihua Ou, Qirong Mao:
Weighted discriminative collaborative competitive representation for robust image classification. Neural Networks 125: 104-120 (2020) - [j169]Xiaojie Li, Jiancheng Lv, Zhang Yi:
Outlier Detection Using Structural Scores in a High-Dimensional Space. IEEE Trans. Cybern. 50(5): 2302-2310 (2020) - [j168]Tao He, Jixiang Guo, Nan Chen, Xiuyuan Xu, Zihuai Wang, Kaiyu Fu, Lunxu Liu, Zhang Yi:
MediMLP: Using Grad-CAM to Extract Crucial Variables for Lung Cancer Postoperative Complication Prediction. IEEE J. Biomed. Health Informatics 24(6): 1762-1771 (2020) - [j167]Xin Shu, Lei Zhang, Zizhou Wang, Qing Lv, Zhang Yi:
Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification. IEEE Trans. Medical Imaging 39(6): 2246-2255 (2020) - [j166]Yao Zhou, Gary G. Yen, Zhang Yi:
Evolutionary Compression of Deep Neural Networks for Biomedical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2916-2929 (2020)
2010 – 2019
- 2019
- [j165]Zhentao Gao, Jie Li, Jixiang Guo, Yuanyuan Chen, Zhang Yi, Jie Zhong:
Diagnosis of Diabetic Retinopathy Using Deep Neural Networks. IEEE Access 7: 3360-3370 (2019) - [j164]Kang Li, Jixiang Guo, Zhang Yi:
A collaborative contour detector by gradient and active contours for ultrasound kidney images. Int. J. Comput. Math. 96(6): 1292-1312 (2019) - [j163]Jiangshu Wei, Jiancheng Lv, Zhang Yi:
A New Sparse Restricted Boltzmann Machine. Int. J. Pattern Recognit. Artif. Intell. 33(10): 1951004:1-1951004:23 (2019) - [j162]Sihang Chen, Jixiang Guo, Chengdi Wang, Xiuyuan Xu, Zhang Yi, Weimin Li:
DeepLNAnno: a Web-Based Lung Nodules Annotating System for CT Images. J. Medical Syst. 43(7): 197:1-197:9 (2019) - [j161]Yuanyuan Chen, Zhang Yi:
Locality-constrained least squares regression for subspace clustering. Knowl. Based Syst. 163: 51-56 (2019) - [j160]Zhang Yi, Yan Yang, Tianrui Li, Hamido Fujita:
A multitask multiview clustering algorithm in heterogeneous situations based on LLE and LE. Knowl. Based Syst. 163: 776-786 (2019) - [j159]Jianping Gou, Wenmo Qiu, Zhang Yi, Xiangjun Shen, Yongzhao Zhan, Weihua Ou:
Locality constrained representation-based K-nearest neighbor classification. Knowl. Based Syst. 167: 38-52 (2019) - [j158]Wei Zhang, Jie Zhong, Shijun Yang, Zhentao Gao, Junjie Hu, Yuanyuan Chen, Zhang Yi:
Automated identification and grading system of diabetic retinopathy using deep neural networks. Knowl. Based Syst. 175: 12-25 (2019) - [j157]Xiaofeng Qi, Lei Zhang, Yao Chen, Yong Pi, Yi Chen, Qing Lv, Zhang Yi:
Automated diagnosis of breast ultrasonography images using deep neural networks. Medical Image Anal. 52: 185-198 (2019) - [j156]Junjie Hu, Yuanyuan Chen, Zhang Yi:
Automated segmentation of macular edema in OCT using deep neural networks. Medical Image Anal. 55: 216-227 (2019) - [j155]Yuni Zeng, Hua Mao, Dezhong Peng, Zhang Yi:
Spectrogram based multi-task audio classification. Multim. Tools Appl. 78(3): 3705-3722 (2019) - [j154]Yao Zhou, Lei Zhang, Zhang Yi:
Predicting movie box-office revenues using deep neural networks. Neural Comput. Appl. 31(6): 1855-1865 (2019) - [j153]Yangxu Wang, Hua Mao, Zhang Yi:
Stem cell motion-tracking by using deep neural networks with multi-output. Neural Comput. Appl. 31(8): 3455-3467 (2019) - [j152]Mingsheng Fu, Hong Qu, Zhang Yi, Li Lu, Yongsheng Liu:
A Novel Deep Learning-Based Collaborative Filtering Model for Recommendation System. IEEE Trans. Cybern. 49(3): 1084-1096 (2019) - [j151]Yanan Sun, Gary G. Yen, Zhang Yi:
Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations. IEEE Trans. Evol. Comput. 23(1): 89-103 (2019) - [j150]Yanan Sun, Gary G. Yen, Zhang Yi:
IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems. IEEE Trans. Evol. Comput. 23(2): 173-187 (2019) - [j149]Zhenan He, Gary G. Yen, Zhang Yi:
Robust Multiobjective Optimization via Evolutionary Algorithms. IEEE Trans. Evol. Comput. 23(2): 316-330 (2019) - [j148]Jianping Gou, Wenmo Qiu, Zhang Yi, Yong Xu, Qirong Mao, Yongzhao Zhan:
A Local Mean Representation-based K-Nearest Neighbor Classifier. ACM Trans. Intell. Syst. Technol. 10(3): 29:1-29:25 (2019) - [j147]Junjie Hu, Yuanyuan Chen, Jie Zhong, Rong Ju, Zhang Yi:
Automated Analysis for Retinopathy of Prematurity by Deep Neural Networks. IEEE Trans. Medical Imaging 38(1): 269-279 (2019) - [j146]Malu Zhang, Hong Qu, Ammar Belatreche, Yi Chen, Zhang Yi:
A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. 30(1): 123-137 (2019) - [c37]Chuan Luo, Tianrui Li, Zhang Yi:
An Incremental Feature Selection Approach Based on Information Entropy for Incomplete Data. DASC/PiCom/DataCom/CyberSciTech 2019: 483-488 - [c36]Jianping Gou, Lei Wang, Zhang Yi, Yun-Hao Yuan, Weihua Ou, Qirong Mao:
Discriminative Group Collaborative Competitive Representation for Visual Classification. ICME 2019: 1474-1479 - [c35]Tao He, Jixiang Guo, Jianyong Wang, Xiuyuan Xu, Zhang Yi:
Multi-task Learning for the Segmentation of Thoracic Organs at Risk in CT images. SegTHOR@ISBI 2019 - 2018
- [j145]Xiuyuan Xu, Quan Guo, Jixiang Guo, Zhang Yi:
DeepCXray: Automatically Diagnosing Diseases on Chest X-Rays Using Deep Neural Networks. IEEE Access 6: 66972-66983 (2018) - [j144]Jianping Gou, Lei Wang, Zhang Yi, Jiancheng Lv, Qirong Mao, Yun-Hao Yuan:
A New Discriminative Collaborative Neighbor Representation Method for Robust Face Recognition. IEEE Access 6: 74713-74727 (2018) - [j143]Jianping Gou, Zhang Yi, David Zhang, Yongzhao Zhan, Xiangjun Shen, Lan Du:
Sparsity and Geometry Preserving Graph Embedding for Dimensionality Reduction. IEEE Access 6: 75748-75766 (2018) - [j142]Yangqin Feng, Lei Zhang, Zhang Yi:
Breast cancer cell nuclei classification in histopathology images using deep neural networks. Int. J. Comput. Assist. Radiol. Surg. 13(2): 179-191 (2018) - [j141]Jianyong Wang, Lei Zhang, Yuanyuan Chen, Zhang Yi:
A New Delay Connection for Long Short-Term Memory Networks. Int. J. Neural Syst. 28(6): 1750061:1-1750061:15 (2018) - [j140]Jie Chen, Hua Mao, Haixian Zhang, Zhang Yi:
Symmetric low-rank preserving projections for subspace learning. Neurocomputing 315: 381-393 (2018) - [j139]Yuanyuan Chen, Lei Zhang, Zhang Yi:
Subspace clustering using a low-rank constrained autoencoder. Inf. Sci. 424: 27-38 (2018) - [j138]Chuan Luo, Tianrui Li, Hongmei Chen, Hamido Fujita, Zhang Yi:
Incremental rough set approach for hierarchical multicriteria classification. Inf. Sci. 429: 72-87 (2018) - [j137]Ming Yan, Jixiang Guo, Weidong Tian, Zhang Yi:
Symmetric convolutional neural network for mandible segmentation. Knowl. Based Syst. 159: 63-71 (2018) - [j136]Yu Wu, Hua Mao, Zhang Yi:
Audio classification using attention-augmented convolutional neural network. Knowl. Based Syst. 161: 90-100 (2018) - [j135]Xueying Shi, Guangyong Chen, Pheng-Ann Heng, Zhang Yi:
Tracking topology structure adaptively with deep neural networks. Neural Comput. Appl. 30(11): 3317-3326 (2018) - [j134]Xinxing Xu, Shijie Xiao, Zhang Yi, Xi Peng, Yong Liu:
Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning. IEEE Trans. Cogn. Dev. Syst. 10(2): 280-289 (2018) - [j133]Minyu Feng, Hong Qu, Zhang Yi, Jürgen Kurths:
Subnormal Distribution Derived From Evolving Networks With Variable Elements. IEEE Trans. Cybern. 48(9): 2556-2568 (2018) - [j132]Yanan Sun, Gary G. Yen, Zhang Yi:
Improved Regularity Model-Based EDA for Many-Objective Optimization. IEEE Trans. Evol. Comput. 22(5): 662-678 (2018) - [j131]Yi-Fei Pu, Patrick Siarry, Amitava Chatterjee, Zhengning Wang, Zhang Yi, Yiguang Liu, Jiliu Zhou, Yan Wang:
A Fractional-Order Variational Framework for Retinex: Fractional-Order Partial Differential Equation-Based Formulation for Multi-Scale Nonlocal Contrast Enhancement with Texture Preserving. IEEE Trans. Image Process. 27(3): 1214-1229 (2018) - [j130]Xiaojie Li, Jiancheng Lv, Zhang Yi:
An Efficient Representation-Based Method for Boundary Point and Outlier Detection. IEEE Trans. Neural Networks Learn. Syst. 29(1): 51-62 (2018) - [j129]Xi Peng, Canyi Lu, Zhang Yi, Huajin Tang:
Connections Between Nuclear-Norm and Frobenius-Norm-Based Representations. IEEE Trans. Neural Networks Learn. Syst. 29(1): 218-224 (2018) - [j128]Jianyong Wang, Lei Zhang, Quan Guo, Zhang Yi:
Recurrent Neural Networks With Auxiliary Memory Units. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1652-1661 (2018) - [j127]Dongdong Chen, Jiancheng Lv, Zhang Yi:
Graph Regularized Restricted Boltzmann Machine. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2651-2659 (2018) - [j126]Lei Zhang, Zhang Yi, Shun-ichi Amari:
Theoretical Study of Oscillator Neurons in Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5242-5248 (2018) - [c34]Jiajing Zhu, Yongguo Liu, Shangming Yang, Shuangqing Zhai, Zhang Yi, Chuanbiao Wen:
A Supervised Learning Framework for Prediction of Incompatible Herb Pair in Traditional Chinese Medicine. CIKM 2018: 1799-1802 - [c33]Jiali Yu, Zhang Yi, Chunxiao Wang, Yong Liao, Zhixin Pang:
Continuous Attractors of Nonlinear Neural Networks with Asymmetric Connection Weights. ICONIP (2) 2018: 393-402 - [c32]Jiali Yu, Zhang Yi, Yong Liao, De-An Wu, Xiong Dai:
Continuous Attractors of 3-D Discrete-Time Ring Networks with Circulant Weight Matrix. ISNN 2018: 388-396 - [i13]Yanan Sun, Gary G. Yen, Zhang Yi:
Improved Regularity Model-based EDA for Many-objective Optimization. CoRR abs/1802.08788 (2018) - [i12]Yanan Sun, Gary G. Yen, Zhang Yi:
IGD Indicator-based Evolutionary Algorithm for Many-objective Optimization Problems. CoRR abs/1802.08792 (2018) - 2017
- [j125]Tao He, Hua Mao, Jixiang Guo, Zhang Yi:
Cell tracking using deep neural networks with multi-task learning. Image Vis. Comput. 60: 142-153 (2017) - [j124]Yangxu Wang, Hua Mao, Zhang Yi:
Protein secondary structure prediction by using deep learning method. Knowl. Based Syst. 118: 115-123 (2017) - [j123]Jie Chen, Hua Mao, Yongsheng Sang, Zhang Yi:
Subspace clustering using a symmetric low-rank representation. Knowl. Based Syst. 127: 46-57 (2017) - [j122]Yanan Sun, Gary G. Yen, Zhang Yi:
Reference line-based Estimation of Distribution Algorithm for many-objective optimization. Knowl. Based Syst. 132: 129-143 (2017) - [j121]Yao Zhou, Hua Mao, Zhang Yi:
Cell mitosis detection using deep neural networks. Knowl. Based Syst. 137: 19-28 (2017) - [j120]Yanan Sun, Hua Mao, Yongsheng Sang, Zhang Yi:
Explicit guiding auto-encoders for learning meaningful representation. Neural Comput. Appl. 28(3): 429-436 (2017) - [j119]Tao He, Hua Mao, Zhang Yi:
Moving object recognition using multi-view three-dimensional convolutional neural networks. Neural Comput. Appl. 28(12): 3827-3835 (2017) - [j118]Xi Peng, Zhiding Yu, Zhang Yi, Huajin Tang:
Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering. IEEE Trans. Cybern. 47(4): 1053-1066 (2017) - [j117]Lituan Wang, Lei Zhang, Zhang Yi:
Trajectory Predictor by Using Recurrent Neural Networks in Visual Tracking. IEEE Trans. Cybern. 47(10): 3172-3183 (2017) - [j116]Xi Peng, Bo Zhao, Rui Yan, Huajin Tang, Zhang Yi:
Bag of Events: An Efficient Probability-Based Feature Extraction Method for AER Image Sensors. IEEE Trans. Neural Networks Learn. Syst. 28(4): 791-803 (2017) - [j115]Jiali Yu, Hua Mao, Zhang Yi:
Parameter as a Switch Between Dynamical States of a Network in Population Decoding. IEEE Trans. Neural Networks Learn. Syst. 28(4): 911-916 (2017) - [j114]Quan Guo, Haixian Zhang, Zhang Yi:
High-Order Measurements for Residual Classifiers. IEEE Trans. Neural Networks Learn. Syst. 28(5): 1030-1042 (2017) - [j113]Xiurui Xie, Hong Qu, Zhang Yi, Jürgen Kurths:
Efficient Training of Supervised Spiking Neural Network via Accurate Synaptic-Efficiency Adjustment Method. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1411-1424 (2017) - [j112]Yi-Fei Pu, Zhang Yi, Jiliu Zhou:
Fractional Hopfield Neural Networks: Fractional Dynamic Associative Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 28(10): 2319-2333 (2017) - [j111]Liangli Zhen, Dezhong Peng, Zhang Yi, Yong Xiang, Peng Chen:
Underdetermined Blind Source Separation Using Sparse Coding. IEEE Trans. Neural Networks Learn. Syst. 28(12): 3102-3108 (2017) - [c31]Yanan Sun, Gary G. Yen, Zhang Yi:
Global view-based selection mechanism for many-objective evolutionary algorithms. CEC 2017: 427-434 - [i11]Yanan Sun, Gary G. Yen, Zhang Yi:
Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations. CoRR abs/1712.05043 (2017) - 2016
- [j110]Jiali Yu, Zhang Yi:
Stability Analysis and Fuzzy Control for Uncertain Delayed T-S Nonlinear Systems. Int. J. Fuzzy Syst. 18(6): 1031-1038 (2016) - [j109]Jie Chen, Haixian Zhang, Hua Mao, Yongsheng Sang, Zhang Yi:
Symmetric low-rank representation for subspace clustering. Neurocomputing 173: 1192-1202 (2016) - [j108]Yuanyuan Chen, Lei Zhang, Zhang Yi:
A Novel Low Rank Representation Algorithm for Subspace Clustering. Int. J. Pattern Recognit. Artif. Intell. 30(4): 1650007:1-1650007:16 (2016) - [j107]Taisong Xiong, Lei Zhang, Zhang Yi:
Double Gaussian mixture model for image segmentation with spatial relationships. J. Vis. Commun. Image Represent. 34: 135-145 (2016) - [j106]Chuan Luo, Tianrui Li, Zhang Yi, Hamido Fujita:
Matrix approach to decision-theoretic rough sets for evolving data. Knowl. Based Syst. 99: 123-134 (2016) - [j105]Quan Guo, Jia Jia, Guangyao Shen, Lei Zhang, Lianhong Cai, Zhang Yi:
Learning robust uniform features for cross-media social data by using cross autoencoders. Knowl. Based Syst. 102: 64-75 (2016) - [j104]Chuan Luo, Tianrui Li, Hongmei Chen, Hamido Fujita, Zhang Yi:
Efficient updating of probabilistic approximations with incremental objects. Knowl. Based Syst. 109: 71-83 (2016) - [j103]Yongsheng Sang, Jiancheng Lv, Hong Qu, Zhang Yi:
Shortest path computation using pulse-coupled neural networks with restricted autowave. Knowl. Based Syst. 114: 1-11 (2016) - [j102]Lili Li, Jiancheng Lv, Zhang Yi:
A non-negative representation learning algorithm for selecting neighbors. Mach. Learn. 102(2): 133-153 (2016) - [j101]Yanan Sun, Hua Mao, Quan Guo, Zhang Yi:
Learning a good representation with unsymmetrical auto-encoder. Neural Comput. Appl. 27(5): 1361-1367 (2016) - [j100]Minyu Feng, Hong Qu, Zhang Yi, Xiurui Xie, Jürgen Kurths:
Evolving Scale-Free Networks by Poisson Process: Modeling and Degree Distribution. IEEE Trans. Cybern. 46(5): 1144-1155 (2016) - [j99]Xi Peng, Huajin Tang, Lei Zhang, Zhang Yi, Shijie Xiao:
A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2499-2512 (2016) - [c30]Zhang Yi, Yu Zhen, Zi-mu Lu, Tong-Tong Lu:
A fuzzy c-means clustering based tournament selection for multiobjective optimization. CEC 2016: 2446-2453 - [c29]Yanan Sun, Gary G. Yen, Hua Mao, Zhang Yi:
Manifold dimension reduction based clustering for multi-objective evolutionary algorithm. CEC 2016: 3785-3792 - 2015
- [j98]Xi Peng, Rui Yan, Bo Zhao, Huajin Tang, Zhang Yi:
Fast low rank representation based spatial pyramid matching for image classification. Knowl. Based Syst. 90: 14-22 (2015) - [j97]Yin Kuang, Lei Zhang, Zhang Yi:
Constructing L1-graphs for subspace learning via recurrent neural networks. Pattern Anal. Appl. 18(4): 817-828 (2015) - [j96]Jiangshu Wei, Jian Cheng Lv, Zhang Yi:
Robust classifier using distance-based representation with square weights. Soft Comput. 19(2): 507-515 (2015) - [j95]Shangming Yang, Zhang Yi, Xiaofei He, Xuelong Li:
A Class of Manifold Regularized Multiplicative Update Algorithms for Image Clustering. IEEE Trans. Image Process. 24(12): 5302-5314 (2015) - [j94]Jian Cheng Lv, Zhang Yi, Yunxia Li:
Non-Divergence of Stochastic Discrete Time Algorithms for PCA Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 26(2): 394-399 (2015) - [c28]Xi Peng, Zhang Yi, Huajin Tang:
Robust Subspace Clustering via Thresholding Ridge Regression. AAAI 2015: 3827-3833 - [i10]Xi Peng, Canyi Lu, Zhang Yi, Huajin Tang:
Connections Between Nuclear Norm and Frobenius Norm Based Representation. CoRR abs/1502.07423 (2015) - 2014
- [j93]Xiaolan Fu, Lianhong Cai, Ye Liu, Jia Jia, Wenfeng Chen, Zhang Yi, Guozhen Zhao, Yong-Jin Liu, Changxu Wu:
A computational cognition model of perception, memory, and judgment. Sci. China Inf. Sci. 57(3): 1-15 (2014) - [j92]Yin Kuang, Lei Zhang, Zhang Yi:
Image Denoising Via Sparse Dictionaries Constructed by Subspace Learning. Circuits Syst. Signal Process. 33(7): 2151-2171 (2014) - [j91]Yuanyuan Chen, Lei Zhang, Zhang Yi:
Nearest convex hull classification by using Lotka-Volterra recurrent neural networks. Neurocomputing 138: 157-166 (2014) - [j90]Jie Chen, Zhang Yi:
Sparse representation for face recognition by discriminative low-rank matrix recovery. J. Vis. Commun. Image Represent. 25(5): 763-773 (2014) - [j89]Taisong Xiong, Zhang Yi, Lei Zhang:
Grayscale image segmentation by spatially variant mixture model with student's t-distribution. Multim. Tools Appl. 72(1): 167-189 (2014) - [j88]Taisong Xiong, Lei Zhang, Zhang Yi:
Robust t-distribution mixture modeling via spatially directional information. Neural Comput. Appl. 24(6): 1269-1283 (2014) - [j87]Yunxia Li, Zhang Yi, Jian Cheng Lv:
Support vector set selection using pulse-coupled neural networks. Neural Comput. Appl. 25(2): 401-410 (2014) - [j86]Xi Peng, Lei Zhang, Zhang Yi, Kok Kiong Tan:
Learning locality-constrained collaborative representation for robust face recognition. Pattern Recognit. 47(9): 2794-2806 (2014) - [j85]Yin Kuang, Lei Zhang, Zhang Yi:
An adaptive rank-sparsity K-SVD algorithm for image sequence denoising. Pattern Recognit. Lett. 45: 46-54 (2014) - [j84]Minyu Feng, Hong Qu, Zhang Yi:
Highest Degree Likelihood Search Algorithm Using a State Transition Matrix for Complex Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 61-I(10): 2941-2950 (2014) - [j83]Changjiang Liu, Zhang Yi, Kok Kiong Tan, Hongyu Yang:
Sensor Fusion Method for Horizon Detection From an Aircraft in Low Visibility Conditions. IEEE Trans. Instrum. Meas. 63(3): 620-627 (2014) - [j82]Shangming Yang, Zhang Yi, Mao Ye, Xiaofei He:
Convergence Analysis of Graph Regularized Non-Negative Matrix Factorization. IEEE Trans. Knowl. Data Eng. 26(9): 2151-2165 (2014) - [c27]Dongdong Chen, Jian Cheng Lv, Zhang Yi:
A Local Non-Negative Pursuit Method for Intrinsic Manifold Structure Preservation. AAAI 2014: 1745-1751 - [i9]Jie Chen, Zhang Yi:
Subspace Clustering by Exploiting a Low-Rank Representation with a Symmetric Constraint. CoRR abs/1403.2330 (2014) - [i8]Xi Peng, Rui Yan, Bo Zhao, Huajin Tang, Zhang Yi:
Fast Low-rank Representation based Spatial Pyramid Matching for Image Classification. CoRR abs/1409.5786 (2014) - [i7]Jie Chen, Haixian Zhang, Zhang Yi:
Symmetric low-rank representation for subspace clustering. CoRR abs/1410.8618 (2014) - [i6]Xi Peng, Zhang Yi, Huajin Tang:
Principal Coefficients Embedding: Theory and Algorithm. CoRR abs/1411.4419 (2014) - 2013
- [j81]