Ping Zhong

发表

Few-Shot Object Detection With Self-Adaptive Attention Network for Remote Sensing Images pdf

Zixuan Xiao, Wei Xue, Ping Zhong, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A novel semi-supervised support vector machine with asymmetric squared loss

Ping Zhong, Huimin Pei, Qiang Lin, 2020, Adv. Data Anal. Classif..

An Optimization Deployment Scheme for Static Charging Piles Based on Dynamic of Shared E-Bikes

Ping Zhong, Guihua Duan, Aikun Xu, 2019, 2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN).

A Multiple Conditional Random Fields Ensemble Model for Urban Area Detection in Remote Sensing Optical Images

Ping Zhong, Runsheng Wang, Runsheng Wang, 2007, IEEE Transactions on Geoscience and Remote Sensing.

Joint Learning of the Center Points and Deep Metrics for Land-Use Classification in Remote Sensing

Ping Zhong, Weidong Hu, Zhiqiang Gong, 2019, Remote. Sens..

Learning CNN to Pair UAV Video Image Patches

Ping Zhong, Yuting Chen, Zhiqiang Gong, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Dynamic Learning of SCRF for Feature Selection and Classification of Hyperspectral Imagery

Ping Zhong, Runsheng Wang, Zhiming Qian, 2012, SSPR/SPR.

$L_{1/2}$-Regularized Deconvolution Network for the Representation and Restoration of Optical Remote Sensing Images

Ping Zhong, Jun Zhang, Shuohao Li, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Active Learning With Gaussian Process Classifier for Hyperspectral Image Classification

Ping Zhong, Runsheng Wang, Huaitie Xiao, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Multiple Instance Learning for Multiple Diverse Hyperspectral Target Characterizations

Ping Zhong, Zhiqiang Gong, Jiaxin Shan, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Deep Manifold Embedding for Hyperspectral Image Classification pdf

Ping Zhong, Xiaoyong Du, Weidong Hu, 2019, ArXiv.

Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network

Chen Gong, Ping Zhong, Shirui Pan, 2019, IEEE Trans. Geosci. Remote. Sens..

Multiple-Spectral-Band CRFs for Denoising Junk Bands of Hyperspectral Imagery

Ping Zhong, Runsheng Wang, Runsheng Wang, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Personalized image annotation via class-specific cross-domain learning

Ping Zhong, Runsheng Wang, Zhiming Qian, 2015, Signal Process. Image Commun..

Tag Refinement for User-Contributed Images via Graph Learning and Nonnegative Tensor Factorization

Ping Zhong, Runsheng Wang, Zhiming Qian, 2015, IEEE Signal Processing Letters.

A New MRF Framework with Dual Adaptive Contexts for Image Segmentation

Fang Liu, Ping Zhong, Runsheng Wang, 2007, 2007 International Conference on Computational Intelligence and Security (CIS 2007).

Generalization and Implementation of RAM-Based Key-Value Store

Ping Zhong, Yiming Zhang, Tian Tian, 2016, 2016 International Conference on Computational Science and Computational Intelligence (CSCI).

Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification

Ping Zhong, Weidong Hu, Zhiqiang Gong, 2019, IEEE Transactions on Neural Networks and Learning Systems.

A novel natural language steganographic framework based on image description neural network

Ping Zhong, Juan Wen, Yiming Xue, 2019, J. Vis. Commun. Image Represent..

Joint and transfer learning of CNN and similarity metric for comparing UAV video image patches

Ping Zhong, Yuting Chen, Lihua Liu, 2016, 2016 IEEE International Conference on Signal and Image Processing (ICSIP).

Generating steganographic image description by dynamic synonym substitution

Ping Zhong, Juan Wen, Yiming Xue, 2019, Signal Process..

Tensor Representation for Image Annotation with Collective Groups

Ping Zhong, Runsheng Wang, Zhiming Qian, 2014, ICIMCS '14.

Robust regularized extreme learning machine for regression with non-convex loss function via DC program

Jinde Cao, Ping Zhong, Huimin Pei, 2020, J. Frankl. Inst..

Diversity-Promoting Deep Structural Metric Learning for Remote Sensing Scene Classification

Ping Zhong, Weidong Hu, Yang Yu, 2018, IEEE Transactions on Geoscience and Remote Sensing.

An active learning method based on Markov random fields for hyperspectral images classification

Fang Liu, Ping Zhong, Runsheng Wang, 2015, 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Modeling and Classifying Hyperspectral Imagery by CRFs With Sparse Higher Order Potentials

Ping Zhong, Runsheng Wang, Runsheng Wang, 2011, IEEE Transactions on Geoscience and Remote Sensing.

A Diversified Deep Ensemble for Hyperspectral Image Classification

Ping Zhong, Weidong Hu, Zhiqiang Gong, 2018, 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Jointly Learning the Hybrid CRF and MLR Model for Simultaneous Denoising and Classification of Hyperspectral Imagery

Ping Zhong, Runsheng Wang, Runsheng Wang, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Object Detection Based on Combination of Conditional Random Field and Markov Random Field

Ping Zhong, Runsheng Wang, Runsheng Wang, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Dynamic Learning of SMLR for Feature Selection and Classification of Hyperspectral Data

Peng Zhang, Ping Zhong, Runsheng Wang, 2008, IEEE Geoscience and Remote Sensing Letters.

Using Combination of Statistical Models and Multilevel Structural Information for Detecting Urban Areas From a Single Gray-Level Image

Ping Zhong, Runsheng Wang, Runsheng Wang, 2007, IEEE Transactions on Geoscience and Remote Sensing.

Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification

Shutao Li, Ping Zhong, Carola-Bibiane Schönlieb, 2017, IEEE Transactions on Geoscience and Remote Sensing.

An online conjugate gradient algorithm for large-scale data analysis in machine learning

Wei Xue, Ping Zhong, Gaohang Yu, 2021 .

Learning Sparse CRFs for Feature Selection and Classification of Hyperspectral Imagery

Ping Zhong, Runsheng Wang, 2008, IEEE Transactions on Geoscience and Remote Sensing.

An MRF Model-Based Active Learning Framework for the Spectral-Spatial Classification of Hyperspectral Imagery

Ping Zhong, Runsheng Wang, Huaitie Xiao, 2015, IEEE Journal of Selected Topics in Signal Processing.

Learning to Diversify Patch-Based Priors for Remote Sensing Image Restoration

Ping Zhong, Runsheng Wang, Peng Ni, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Class-specific Gaussian-multinomial latent Dirichlet allocation for image annotation

Ping Zhong, Runsheng Wang, Zhiming Qian, 2015, EURASIP J. Adv. Signal Process..

A CNN With Multiscale Convolution and Diversified Metric for Hyperspectral Image Classification

Shutao Li, Yang Yu, Ping Zhong, 2019, IEEE Transactions on Geoscience and Remote Sensing.

IMPROVING SUPPORT VECTOR CLASSIFICATION BY LEARNING GROUP INFORMATION HIDDEN IN THE DATA

Ping Zhong, Wenxin Zhu, Kuaini Wang, 2014 .

Least Squares Fuzzy One-class Support Vector Machine for Imbalanced Data

Ping Zhong, Jingjing Zhang, Wenxin Zhu, 2015 .

Learning Conditional Random Fields for Classification of Hyperspectral Images

Ping Zhong, Runsheng Wang, Runsheng Wang, 2010, IEEE Transactions on Image Processing.

An active learning method based on SVM classifier for hyperspectral images classification

Fang Liu, Ping Zhong, Runsheng Wang, 2015, 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

An Unsupervised Convolutional Feature Fusion Network for Deep Representation of Remote Sensing Images

Ping Zhong, Yang Yu, Zhiqiang Gong, 2018, IEEE Geoscience and Remote Sensing Letters.

Few-shot object detection with feature attention highlight module in remote sensing images

Yuan Quan, Zixuan Xiao, Wei Xue, 2020, Other Conferences.

Integrating global and local visual features with semantic hierarchies for two-level image annotation

Jia Chen, Ping Zhong, Zhiming Qian, 2016, Neurocomputing.

A Bag-Level Data Imbalanced Multiple Instance Hyperspectral Target Representation

Ping Zhong, Zhiqiang Gong, Jiaxin Shan, 2018, 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

4-Chloro-1-[2,6-dichloro-4-(trifluoromethyl)phenyl]-5-(4-methylbenzylideneamino)-1H-pyrazole-3-carbonitrile

Ping Zhong, Riyuan Tang, Qian Shi, 2005 .

A New MRF Framework with Dual Adaptive Contexts for Image Segmentation

Ping Zhong, Fang Liu, Runsheng Wang, 2007 .

Unsupervised Deep Feature Learning With Iteratively Refined Pseudo Classes for Scene Representation

Ping Zhong, Weidong Hu, Zhiqiang Gong, 2019, IEEE Access.

A Hierarchical priority task scheduling with QoS satisfaction for cloud storage

Ping Zhong, Wei Chen, Yuelong Zhao, 2015 .

An adaptive steganographic scheme for H.264/AVC video with distortion optimization

Ping Zhong, Hao Zeng, Juan Wen, 2019, Signal Process. Image Commun..

Image segmentation based on Markov random fields with adaptive neighborhood systems

Ping Zhong, Runsheng Wang, 2006 .

Profltability prediction model based on support vector machines

Ping Zhong, Yong Cen, Bin Xi, 2007 .

Spectral-spatial classification of hyperspectral images with Gaussian process

Ping Zhong, Runsheng Wang, Huaitie Xiao, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

A virtual laboratory based on HTML5

Fei Zhang, Ping Zhong, Yu Sheng, 2016, 2016 11th International Conference on Computer Science & Education (ICCSE).

Project-driven information talents training mode in opening environment

Weiping Wang, Ping Zhong, Hong Song, 2019, 2019 14th International Conference on Computer Science & Education (ICCSE).

Learning sparse conditional random fields to select features for land development classification

Ping Zhong, Fang Liu, Runsheng Wang, 2011 .

Hierarchical Unsupervised Object Segmentation with Manifold Regularization

Ping Zhong, Runsheng Wang, Zhiming Qian, 2014, ICIMCS '14.

Low-Rank Approximation and Multiple Sparse Constraint Modeling for Infrared Low-Flying Fixed-Wing UAV Detection

Zixuan Xiao, Ping Zhong, Yu Zhang, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A Self-Improving Framework for Joint Depth Estimation and Underwater Target Detection from Hyperspectral Imagery

Ping Zhong, Zhiqiang Gong, Wei Xue, 2021, Remote. Sens..

An Unmixing-Based Network for Underwater Target Detection From Hyperspectral Imagery

Ping Zhong, Zhiqiang Gong, Wei Xue, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Sample-based online learning for bi-regular hinge loss

Ping Zhong, Wensheng Zhang, Gaohang Yu, 2021, International Journal of Machine Learning and Cybernetics.

Re-weighting regression and sparsity regularization for multi-view classification

Ping Zhong, Min Men, Zhi Wang, 2021, Applied Intelligence.

Attention Mask-Based Network With Simple Color Annotation for UAV Vehicle Re-Identification

Ping Zhong, Jiahao Qi, Aihuan Yao, 2022, IEEE Geoscience and Remote Sensing Letters.

Unmixing-Based Underwater Target Detection for Hyperspectral Imagery

Ping Zhong, Wei Xue, Jiahao Qi, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

A novel linguistic steganalysis method for hybrid steganographic texts

Ping Zhong, Liran Yang, Yimin Xu, 2021 .

Self-aligned Spatial Feature Extraction Network for UAV Vehicle Re-identification pdf

Ping Zhong, Jiahao Qi, Aihuan Yao, 2022, ArXiv.

Bathymetric-Based Band Selection Method for Hyperspectral Underwater Target Detection

Ping Zhong, Zhiqiang Gong, Jiahao Qi, 2021, Remote. Sens..

Hybrid Sequence Networks for Unsupervised Water Properties Estimation From Hyperspectral Imagery

Ping Zhong, Shaoquan Zhang, Zhiqiang Gong, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Problem Student Prediction Model Based on Convolution Neural Network and Least Squares Support Vector Machine

Ping Zhong, Yan Zhang, 2021, Lecture Notes on Data Engineering and Communications Technologies.

Linguistic Steganography Based on Adaptive Probability Distribution

Ping Zhong, Yiming Xue, Xuejing Zhou, 2021, IEEE Transactions on Dependable and Secure Computing.

Multi-task support vector machine with pinball loss

Ping Zhong, Yunhao Zhang, Jiajun Yu, 2021, Eng. Appl. Artif. Intell..

Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification

Xiaojun Chang, Ping Zhong, Chen Gong, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Robust supervised multi-view feature selection with weighted shared loss and maximum margin criterion

Ping Zhong, Liran Yang, Hui Zou, 2021, Knowl. Based Syst..

Supervised multi-view classification via the sparse learning joint the weighted elastic loss

Ping Zhong, Yingyi Chen, Zhi Wang, 2022, Signal Process..

Least Absolute Deviation Support Vector Regression

Ping Zhong, Kuaini Wang, P. Zhong, 2014 .

Training Robust Support Vector Regression via D. C. Program

Ping Zhong, Yaohong Zhao, Kuaini Wang, 2010 .