Bo Zhang
Orcid: 0000-0001-7355-0941Affiliations:
- Chinese Academy of Sciences, State Key Laboratory of Scientific and Engineering Computing and Institute of Applied Mathematics, Beijing, China
- Coventry University, School of Mathematical and Information Sciences, UK (former)
According to our database1,
Bo Zhang
authored at least 71 papers
between 2003 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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Bibliography
2024
Direct Imaging Methods for Reconstructing a Locally Rough Interface from Phaseless Total-Field Data or Phased Far-Field Data.
SIAM J. Imaging Sci., March, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., May, 2023
2022
Incremental Learning With Open-Set Recognition for Remote Sensing Image Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Cybern., 2022
Data completion algorithms and their applications in inverse acoustic scattering with limited-aperture backscattering data.
J. Comput. Phys., 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Convergence of the uniaxial PML method for time-domain electromagnetic scattering problems.
CoRR, 2021
Time domain analysis for electromagnetic scattering by an elastic obstacle in a two-layered medium.
CoRR, 2021
2020
Convergence Analysis of the PML Method for Time-Domain Electromagnetic Scattering Problems.
SIAM J. Numer. Anal., 2020
2019
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Inverse Acoustic Scattering with Phaseless Far Field Data: Uniqueness, Phase Retrieval, and Direct Sampling Methods.
SIAM J. Imaging Sci., 2019
Target Reconstruction with a Reference Point Scatterer using Phaseless Far Field Patterns.
SIAM J. Imaging Sci., 2019
Phaseless inverse source scattering problem: Phase retrieval, uniqueness and direct sampling methods.
J. Comput. Phys. X, 2019
Convergence of the perfectly matched layer method for transient acoustic-elastic interaction above an unbounded rough surface.
CoRR, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Supervised Polarimetric SAR Image Classification Using Tensor Local Discriminant Embedding.
IEEE Trans. Image Process., 2018
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., 2018
An FFT-based Algorithm for Efficient Computation of Green's Functions for the Helmholtz and Maxwell's Equations in Periodic Domains.
SIAM J. Sci. Comput., 2018
Pattern Recognit., 2018
Cogn. Comput., 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
2017
Local Discriminant Canonical Correlation Analysis for Supervised PolSAR Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2017
J. Comput. Phys., 2017
Neurocomputing, 2017
CoRR, 2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
2016
IEEE Trans. Image Process., 2016
IEEE Signal Process. Lett., 2016
SAR Target Configuration Recognition Using Tensor Global and Local Discriminant Embedding.
IEEE Geosci. Remote. Sens. Lett., 2016
Inf. Sci., 2016
A Novel Biologically Mechanism-Based Visual Cognition Model-Automatic Extraction of Semantics, Formation of Integrated Concepts and Re-selection Features for Ambiguity.
CoRR, 2016
Effective Deterministic Initialization for $k$-Means-Like Methods via Local Density Peaks Searching.
CoRR, 2016
NFLB dropout: Improve generalization ability by dropping out the best -A biologically inspired adaptive dropout method for unsupervised learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
2015
A Variational Model for PolSAR Data Speckle Reduction Based on the Wishart Distribution.
IEEE Trans. Image Process., 2015
IEEE Signal Process. Lett., 2015
Frontiers Comput. Neurosci., 2015
2014
Dimensionality reduction: An interpretation from manifold regularization perspective.
Inf. Sci., 2014
2013
IEEE Trans. Neural Networks Learn. Syst., 2013
2012
Discriminative Sparsity Preserving Projections for Semi-Supervised Dimensionality Reduction.
IEEE Signal Process. Lett., 2012
Neurocomputing, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
2011
IEEE Trans. Syst. Man Cybern. Part C, 2011
A New Algorithm for Robust Pedestrian Tracking Based on Manifold Learning and Feature Selection.
IEEE Trans. Intell. Transp. Syst., 2011
Pattern Recognit. Lett., 2011
J. Exp. Theor. Artif. Intell., 2011
2010
IEEE Trans. Syst. Man Cybern. Part B, 2010
SIAM J. Appl. Math., 2010
2009
Pattern Recognit., 2009
The application of intrinsic variable preserving manifold learning method to tracking multiple people with occlusion reasoning.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009
2007
A simple decomposition algorithm for support vector machines with polynomial-time convergence.
Pattern Recognit., 2007
Global Asymptotic Stability of Cohen-Grossberg Neural Networks with Multiple Discrete Delays.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007
2006
Proceedings of the Computational Intelligence, 2006
New Results for Global Exponential Stability of Delayed Cohen-Grossberg Neural Networks.
Proceedings of the Intelligent Computing, 2006
2005
IEEE Trans. Circuits Syst. I Regul. Pap., 2005
2004
Neural Networks, 2004
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004
2003
IEEE Trans. Syst. Man Cybern. Part B, 2003