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ORCIDBo Zhang 0006
- > Home > Persons > Bo Zhang 0006
Publications
- 2023
[j46]Junru Luo
, Hong Qiao, Bo Zhang:
A Minimax Probability Machine for Nondecomposable Performance Measures. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2353-2365 (2023)- 2021
- [j41]Junru Luo, Hong Qiao, Bo Zhang:
Learning with smooth Hinge losses. Neurocomputing 463: 379-387 (2021) - [i14]Junru Luo, Hong Qiao, Bo Zhang:
Learning with Smooth Hinge Losses. CoRR abs/2103.00233 (2021) - [i13]Junru Luo, Hong Qiao, Bo Zhang:
A Minimax Probability Machine for Non-Decomposable Performance Measures. CoRR abs/2103.00396 (2021) - 2019
- [j36]Xiangli Nie, Shuguang Ding, Xiayuan Huang, Hong Qiao, Bo Zhang, Zhong-Ping Jiang:
An Online Multiview Learning Algorithm for PolSAR Data Real-Time Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(1): 302-320 (2019) - [c13]Xiayuan Huang, Xiangli Nie, Hong Qiao, Bo Zhang:
Supervised Polsar Image Classification by Combining Multiple Features. ICIP 2019: 634-638 - [c12]Xiayuan Huang, Xiangli Nie, Hong Qiao, Bo Zhang:
A Novel Tensor-Based Feature Extraction Method for Polsar Image Classification. IGARSS 2019: 1152-1155 - 2018
- [j35]Shuguang Ding, Xuanyang Xi, Zhiyong Liu, Hong Qiao, Bo Zhang:
A Novel Manifold Regularized Online Semi-supervised Learning Model. Cogn. Comput. 10(1): 49-61 (2018) - [j34]Fengfu Li, Hong Qiao, Bo Zhang:
Discriminatively boosted image clustering with fully convolutional auto-encoders. Pattern Recognit. 83: 161-173 (2018) - [j32]Peijie Yin, Hong Qiao, Wei Wu, Lu Qi, Yinlin Li, Shanlin Zhong, Bo Zhang:
A Novel Biologically Inspired Visual Cognition Model: Automatic Extraction of Semantics, Formation of Integrated Concepts, and Reselection Features for Ambiguity. IEEE Trans. Cogn. Dev. Syst. 10(2): 420-431 (2018) - [j31]Xiayuan Huang, Hong Qiao, Bo Zhang, Xiangli Nie:
Supervised Polarimetric SAR Image Classification Using Tensor Local Discriminant Embedding. IEEE Trans. Image Process. 27(6): 2966-2979 (2018) - [j30]Shuguang Ding, Xiangli Nie, Hong Qiao, Bo Zhang:
A Fast Algorithm of Convex Hull Vertices Selection for Online Classification. IEEE Trans. Neural Networks Learn. Syst. 29(4): 792-806 (2018) - [c11]Xiangli Nie, Yongkang Luo, Hong Qiao, Bo Zhang, Zhong-Ping Jiang:
An Incremental Multi-view Active Learning Algorithm for PolSAR Data Classification. ICPR 2018: 2251-2255 - 2017
- [j29]Xiayuan Huang, Xiangli Nie, Wei Wu, Hong Qiao, Bo Zhang:
SAR target configuration recognition based on the biologically inspired model. Neurocomputing 234: 185-191 (2017) - [j27]Xiayuan Huang, Bo Zhang, Hong Qiao, Xiangli Nie:
Local Discriminant Canonical Correlation Analysis for Supervised PolSAR Image Classification. IEEE Geosci. Remote. Sens. Lett. 14(11): 2102-2106 (2017) - [c10]Xiangli Nie, Shuguang Ding, Bo Zhang, Hong Qiao, Xiayuan Huang:
Polsar data online classification based on multi-view learning. ICIP 2017: 2354-2358 - [i8]Fengfu Li, Hong Qiao, Bo Zhang, Xuanyang Xi:
Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders. CoRR abs/1703.07980 (2017) - 2016
- [j26]Mingyu Fan, Xiaoqin Zhang, Hong Qiao, Bo Zhang:
Efficient isometric multi-manifold learning based on the self-organizing method. Inf. Sci. 345: 325-339 (2016) - [j25]Xiayuan Huang, Hong Qiao, Bo Zhang:
SAR Target Configuration Recognition Using Tensor Global and Local Discriminant Embedding. IEEE Geosci. Remote. Sens. Lett. 13(2): 222-226 (2016) - [j24]Rui Jiang, Hong Qiao, Bo Zhang:
Efficient Fisher Discrimination Dictionary Learning. Signal Process. 128: 28-39 (2016) - [j23]Xiangli Nie, Bo Zhang, Yunjin Chen, Hong Qiao:
A New Algorithm for Optimizing TV-Based PolSAR Despeckling Model. IEEE Signal Process. Lett. 23(10): 1409-1413 (2016) - [j22]Xiangli Nie, Hong Qiao, Bo Zhang, Xiayuan Huang:
A Nonlocal TV-Based Variational Method for PolSAR Data Speckle Reduction. IEEE Trans. Image Process. 25(6): 2620-2634 (2016) - [c9]Shuguang Ding, Xuanyang Xi, Zhiyong Liu, Hong Qiao, Bo Zhang:
A Novel Manifold Regularized Online Semi-supervised Learning Algorithm. ICONIP (1) 2016: 597-605 - [c8]Peijie Yin, Lu Qi, Xuanyang Xi, Bo Zhang, Hong Qiao:
NFLB dropout: Improve generalization ability by dropping out the best -A biologically inspired adaptive dropout method for unsupervised learning. IJCNN 2016: 1180-1186 - [i7]Peijie Yin, Hong Qiao, Wei Wu, Lu Qi, Yinlin Li, Shanlin Zhong, Bo Zhang:
A Novel Biologically Mechanism-Based Visual Cognition Model-Automatic Extraction of Semantics, Formation of Integrated Concepts and Re-selection Features for Ambiguity. CoRR abs/1603.07886 (2016) - [i6]Fengfu Li, Xiayuan Huang, Hong Qiao, Bo Zhang:
A New Manifold Distance Measure for Visual Object Categorization. CoRR abs/1605.03865 (2016) - [i5]Fengfu Li, Hong Qiao, Bo Zhang:
Effective Deterministic Initialization for $k$-Means-Like Methods via Local Density Peaks Searching. CoRR abs/1611.06777 (2016) - 2015
- [j20]Rui Jiang, Hong Qiao, Bo Zhang:
Speeding Up Graph Regularized Sparse Coding by Dual Gradient Ascent. IEEE Signal Process. Lett. 22(3): 313-317 (2015) - [j19]Xiangli Nie, Hong Qiao, Bo Zhang:
A Variational Model for PolSAR Data Speckle Reduction Based on the Wishart Distribution. IEEE Trans. Image Process. 24(4): 1209-1222 (2015) - 2014
- [j18]Mingyu Fan, Nannan Gu, Hong Qiao, Bo Zhang:
Dimensionality reduction: An interpretation from manifold regularization perspective. Inf. Sci. 277: 694-714 (2014) - 2013
- [j17]Hong Qiao, Peng Zhang, Di Wang, Bo Zhang:
An Explicit Nonlinear Mapping for Manifold Learning. IEEE Trans. Cybern. 43(1): 51-63 (2013) - [j16]Di Wang, Hong Qiao, Bo Zhang, Min Wang:
Online Support Vector Machine Based on Convex Hull Vertices Selection. IEEE Trans. Neural Networks Learn. Syst. 24(4): 593-609 (2013) - 2012
- [j14]Nannan Gu, Mingyu Fan, Hong Qiao, Bo Zhang:
Discriminative Sparsity Preserving Projections for Semi-Supervised Dimensionality Reduction. IEEE Signal Process. Lett. 19(7): 391-394 (2012) - [c7]Mingyu Fan, Hong Qiao, Bo Zhang, Xiaoqin Zhang:
Isometric Multi-manifold Learning for Feature Extraction. ICDM 2012: 241-250 - 2011
- [j13]Hong Qiao, Peng Zhang, Bo Zhang, Suiwu Zheng:
Tracking feature extraction based on manifold learning framework. J. Exp. Theor. Artif. Intell. 23(1): 23-38 (2011) - [j12]Mingyu Fan, Nannan Gu, Hong Qiao, Bo Zhang:
Sparse regularization for semi-supervised classification. Pattern Recognit. 44(8): 1777-1784 (2011) - [j11]Peng Zhang, Hong Qiao, Bo Zhang:
An improved local tangent space alignment method for manifold learning. Pattern Recognit. Lett. 32(2): 181-189 (2011) - [j10]Min Wang, Hong Qiao, Bo Zhang:
A New Algorithm for Robust Pedestrian Tracking Based on Manifold Learning and Feature Selection. IEEE Trans. Intell. Transp. Syst. 12(4): 1195-1208 (2011) - [j9]Chuankai Liu, Hong Qiao, Bo Zhang:
Stable Sensorless Localization of 3-D Objects. IEEE Trans. Syst. Man Cybern. Part C 41(6): 923-941 (2011) - 2010
- [j8]Di Wang, Bo Zhang, Peng Zhang, Hong Qiao:
An online core vector machine with adaptive MEB adjustment. Pattern Recognit. 43(10): 3468-3482 (2010) - [j6]Hong Qiao, Peng Zhang, Bo Zhang, Suiwu Zheng:
Learning an Intrinsic-Variable Preserving Manifold for Dynamic Visual Tracking. IEEE Trans. Syst. Man Cybern. Part B 40(3): 868-880 (2010) - [i3]Hong Qiao, Peng Zhang, Di Wang, Bo Zhang:
An Explicit Nonlinear Mapping for Manifold Learning. CoRR abs/1001.2605 (2010) - [i2]Mingyu Fan, Nannan Gu, Hong Qiao, Bo Zhang:
Intrinsic dimension estimation of data by principal component analysis. CoRR abs/1002.2050 (2010) - 2009
- [j5]Mingyu Fan, Hong Qiao, Bo Zhang:
Intrinsic dimension estimation of manifolds by incising balls. Pattern Recognit. 42(5): 780-787 (2009) - [c6]Chuankai Liu, Hong Qiao, Bo Zhang:
A new practical strategy to localize a 3D object without sensors. IROS 2009: 285-290 - [c5]Suiwu Zheng, Hong Qiao, Bo Zhang, Peng Zhang:
The application of intrinsic variable preserving manifold learning method to tracking multiple people with occlusion reasoning. IROS 2009: 2993-2998 - [i1]Mingyu Fan, Hong Qiao, Bo Zhang:
Isometric Multi-Manifolds Learning. CoRR abs/0912.0572 (2009) - 2007
- [j4]Hong Qiao, Yan-Guo Wang, Bo Zhang:
A simple decomposition algorithm for support vector machines with polynomial-time convergence. Pattern Recognit. 40(9): 2543-2549 (2007) - [c4]Anhua Wan, Weihua Mao, Hong Qiao, Bo Zhang:
Global Asymptotic Stability of Cohen-Grossberg Neural Networks with Multiple Discrete Delays. ICIC (2) 2007: 47-58 - 2006
- [c3]Yan-Guo Wang, Hong Qiao, Bo Zhang:
Convergence of a New Decomposition Algorithm for Support Vector Machines. ICIC (2) 2006: 303-308 - [c2]Anhua Wan, Hong Qiao, Bo Zhang, Weihua Mao:
New Results for Global Exponential Stability of Delayed Cohen-Grossberg Neural Networks. ICIC (1) 2006: 409-415 - 2005
- [j3]Jigen Peng, Zong-Ben Xu, Hong Qiao, Bo Zhang:
A critical analysis on global convergence of Hopfield-type neural networks. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(4): 804-814 (2005) - 2004
- [j2]Zongben Xu, Hong Qiao, Jigen Peng, Bo Zhang:
A comparative study of two modeling approaches in neural networks. Neural Networks 17(1): 73-85 (2004) - [c1]Hong Qiao, Shaoyan Zhang, Bo Zhang, John A. Keane:
Face recognition using SVM decomposition methods. IROS 2004: 2015-2020 - 2003
- [j1]Hong Qiao, Jigen Peng, Zongben Xu, Bo Zhang:
A reference model approach to stability analysis of neural networks. IEEE Trans. Syst. Man Cybern. Part B 33(6): 925-936 (2003)
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