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ORCIDPing Zhong 0001
Person information
- affiliation: National University of Defense Technology, ATR Lab. School of Electronics Science and Engineering, Changsha, China
Other persons with the same name
- Ping Zhong — disambiguation page
- Ping Zhong 0002
![[0000-0003-3393-8874]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3393-8874")
— Central South University, School of Informaion Science and Engineering, Changsha, China - Ping Zhong 0003 — China Agricultural University, College of Science, Beijing, China
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2020 – today
- 2024
[j57]Hao Wen, Xikun Hu, Ping Zhong:
Detecting rice straw burning based on infrared and visible information fusion with UAV remote sensing. Comput. Electron. Agric. 222: 109078 (2024)- [j56]Xikun Hu, Hao Wen, Puzhao Zhang, Ka-Veng Yuen, Ping Zhong:
Near Real-Time Burned Area Progression Mapping With Multispectral Data Using Ensemble Learning. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j55]Dehui Zhu, Ping Zhong, Bo Du, Liangpei Zhang:
Attention-based Sparse and Collaborative Spectral Abundance Learning for Hyperspectral Subpixel Target Detection. Neural Networks 178: 106416 (2024) - [j54]Yu Zhang, Zhiqiang Gong, Hao Wen, Xikun Hu, Xiaoyan Xia, Hejun Jiang, Ping Zhong:
Pattern Corruption-Assisted Physical Attacks Against Object Detection in UAV Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 12931-12944 (2024) - [j53]Xikun Hu, Wenlin Liu, Hao Wen, Ka-Veng Yuen, Tian Jin, Alberto Costa Nogueira Junior, Ping Zhong:
AF-Net: An Active Fire Detection Model Using Improved Object-Contextual Representations on Unbalanced UAV Datasets. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 13558-13569 (2024) - [j52]Zhiqiang Gong, Jiahao Qi, Ping Zhong, Xian Zhou, Wen Yao:
Deep Intrinsic Decomposition With Adversarial Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j51]Zhiqiang Gong, Xian Zhou, Wen Yao, Xiaohu Zheng, Ping Zhong:
HyperDID: Hyperspectral Intrinsic Image Decomposition With Deep Feature Embedding. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j50]Jiaxuan Liu, Jiahao Qi, Dehui Zhu, Hao Wen, Hejun Jiang, Ping Zhong:
Detecting Nearshore Underwater Targets With Hyperspectral Nonlinear Unmixing Autoencoder. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j49]Hao Wen, Xikun Hu, Ping Zhong:
DSRNet: Diagonal Subsampling Reconstruction Network for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j48]Yu Zhang, Zhiqiang Gong, Wenlin Liu, Hao Wen, Pengcheng Wan, Jiahao Qi, Xikun Hu, Ping Zhong:
Empowering Physical Attacks With Jacobian Matrix Regularization Against ViT-Based Detectors in UAV Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j47]Shijun Zheng, Weiquan Liu, Yu Guo, Yu Zang, Siqi Shen, Chenglu Wen, Ming Cheng, Ping Zhong, Cheng Wang:
SR-Adv: Salient Region Adversarial Attacks on 3D Point Clouds for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 25(10): 14019-14030 (2024) - [j46]Xingyue Liu, Jiahao Qi, Chen Chen, Kangcheng Bin, Ping Zhong:
Relation-Aware Weight Sharing in Decoupling Feature Learning Network for UAV RGB-Infrared Vehicle Re-Identification. IEEE Trans. Multim. 26: 9839-9853 (2024) - [c21]Chen Chen, Jiahao Qi, Xingyue Liu, Kangcheng Bin, Ruigang Fu, Xikun Hu, Ping Zhong:
Weakly Misalignment-Free Adaptive Feature Alignment for UAVs-Based Multimodal Object Detection. CVPR 2024: 26826-26835 - 2023
- [j45]Mingyang Du, Ping Zhong, Xiaohao Cai, Daping Bi, Aiqi Jing:
Robust Bayesian attention belief network for radar work mode recognition. Digit. Signal Process. 133: 103874 (2023) - [j44]Zhiqiang Gong, Ping Zhong, Wen Yao, Weien Zhou, Jiahao Qi, Panhe Hu:
A CNN with noise inclined module and denoise framework for hyperspectral image classification. IET Image Process. 17(9): 2575-2584 (2023) - [j43]Aihuan Yao, Jiahao Qi, Ping Zhong:
Self-Aligned Spatial Feature Extraction Network for UAV Vehicle Reidentification. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j42]Yu Zhang, Zhiqiang Gong, Yichuang Zhang, Kangcheng Bin, Yongqian Li, Jiahao Qi, Hao Wen, Ping Zhong:
Boosting transferability of physical attack against detectors by redistributing separable attention. Pattern Recognit. 138: 109435 (2023) - [j41]Jinyue Jiao, Zhiqiang Gong, Ping Zhong:
Dual-Branch Fourier-Mixing Transformer Network for Hyperspectral Target Detection. Remote. Sens. 15(19): 4675 (2023) - [j40]Jinyue Jiao, Zhiqiang Gong, Ping Zhong:
Triplet Spectralwise Transformer Network for Hyperspectral Target Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [i15]Xingyue Liu, Jiahao Qi, Chen Chen, Kangcheng Bin, Ping Zhong:
Beyond Sharing Weights in Decoupling Feature Learning Network for UAV RGB-Infrared Vehicle Re-Identification. CoRR abs/2310.08026 (2023) - [i14]Zhiqiang Gong, Xian Zhou, Wen Yao, Xiaohu Zheng, Ping Zhong:
HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature Embedding. CoRR abs/2311.14899 (2023) - 2022
- [j39]Aihuan Yao, Mengmeng Huang, Jiahao Qi, Ping Zhong:
Attention Mask-Based Network With Simple Color Annotation for UAV Vehicle Re-Identification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j38]Yichuang Zhang, Yu Zhang, Jiahao Qi, Kangcheng Bin, Hao Wen, Xunqian Tong, Ping Zhong:
Adversarial Patch Attack on Multi-Scale Object Detection for UAV Remote Sensing Images. Remote. Sens. 14(21): 5298 (2022) - [j37]Mingyang Du, Ping Zhong, Xiaohao Cai, Daping Bi:
DNCNet: Deep Radar Signal Denoising and Recognition. IEEE Trans. Aerosp. Electron. Syst. 58(4): 3549-3562 (2022) - [j36]Zhiqiang Gong, Weidong Hu, Xiaoyong Du, Ping Zhong, Panhe Hu:
Deep Manifold Embedding for Hyperspectral Image Classification. IEEE Trans. Cybern. 52(10): 10430-10443 (2022) - [j35]Sheng Wan, Shirui Pan, Ping Zhong, Xiaojun Chang, Jian Yang, Chen Gong:
Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [c20]Mingyang Du, Ping Zhong, Xiaohao Cai, Daping Bi, Zhifei Li:
Balanced neural architecture search and optimization for specific emitter identification. RFID-TA 2022: 220-223 - [c19]Jiahao Qi, Xingyue Liu, Ping Zhong:
Delve Into Hyperspectral Anomaly Detection Via Bayesian Gaussian Tensor Decomposition. WHISPERS 2022: 1-5 - [i13]Aihuan Yao, Jiahao Qi, Ping Zhong:
Self-aligned Spatial Feature Extraction Network for UAV Vehicle Re-identification. CoRR abs/2201.02836 (2022) - [i12]Yu Zhang, Zhiqiang Gong, Yichuang Zhang, Yongqian Li, Kangcheng Bin, Jiahao Qi, Wei Xue, Ping Zhong:
Transferable Physical Attack against Object Detection with Separable Attention. CoRR abs/2205.09592 (2022) - [i11]Zhiqiang Gong, Ping Zhong, Jiahao Qi, Panhe Hu:
A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image Classification. CoRR abs/2205.12459 (2022) - [i10]Jiahao Qi, Zhiqiang Gong, Xingyue Liu, Kangcheng Bin, Chen Chen, Yongqian Li, Wei Xue, Yu Zhang, Ping Zhong:
Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders. CoRR abs/2207.07803 (2022) - 2021
- [j34]Wei Xue, Ping Zhong, Wensheng Zhang, Gaohang Yu, Yebin Chen:
Sample-based online learning for bi-regular hinge loss. Int. J. Mach. Learn. Cybern. 12(6): 1753-1768 (2021) - [j33]Jiahao Qi, Pengcheng Wan, Zhiqiang Gong, Wei Xue, Aihuan Yao, Xingyue Liu, Ping Zhong:
A Self-Improving Framework for Joint Depth Estimation and Underwater Target Detection from Hyperspectral Imagery. Remote. Sens. 13(9): 1721 (2021) - [j32]Jiahao Qi, Zhiqiang Gong, Aihuan Yao, Xingyue Liu, Yongqian Li, Yichuang Zhang, Ping Zhong:
Bathymetric-Based Band Selection Method for Hyperspectral Underwater Target Detection. Remote. Sens. 13(19): 3798 (2021) - [j31]Jiahao Qi, Wei Xue, Zhiqiang Gong, Shaoquan Zhang, Aihuan Yao, Ping Zhong:
Hybrid Sequence Networks for Unsupervised Water Properties Estimation From Hyperspectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3830-3845 (2021) - [j30]Wei Xue, Jiahao Qi, Guoqing Shao, Zixuan Xiao, Yu Zhang, Ping Zhong:
Low-Rank Approximation and Multiple Sparse Constraint Modeling for Infrared Low-Flying Fixed-Wing UAV Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 4150-4166 (2021) - [j29]Zixuan Xiao, Jiahao Qi, Wei Xue, Ping Zhong:
Few-Shot Object Detection With Self-Adaptive Attention Network for Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 4854-4865 (2021) - [j28]Jiahao Qi, Zhiqiang Gong, Wei Xue, Xingyue Liu, Aihuan Yao, Ping Zhong:
An Unmixing-Based Network for Underwater Target Detection From Hyperspectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5470-5487 (2021) - [j27]Sheng Wan, Chen Gong, Ping Zhong, Shirui Pan, Guangyu Li, Jian Yang:
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network. IEEE Trans. Geosci. Remote. Sens. 59(1): 597-612 (2021) - [j26]Zhiqiang Gong, Ping Zhong, Weidong Hu:
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 32(1): 322-333 (2021) - [c18]Jiahao Qi, Wei Xue, Aihuan Yao, Ping Zhong:
Unmixing-Based Underwater Target Detection for Hyperspectral Imagery. IGARSS 2021: 4436-4439 - 2020
- [j25]Sheng Wan, Chen Gong, Ping Zhong, Bo Du, Lefei Zhang, Jian Yang:
Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(5): 3162-3177 (2020) - [j24]Ping Zhong, Zhiqiang Gong, Jiaxin Shan:
Multiple Instance Learning for Multiple Diverse Hyperspectral Target Characterizations. IEEE Trans. Neural Networks Learn. Syst. 31(1): 246-258 (2020) - [i9]Zixuan Xiao, Ping Zhong, Yuan Quan, Xuping Yin, Wei Xue:
Few-shot Object Detection with Feature Attention Highlight Module in Remote Sensing Images. CoRR abs/2009.01616 (2020) - [i8]Zixuan Xiao, Wei Xue, Ping Zhong:
Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images. CoRR abs/2009.12596 (2020)
2010 – 2019
- 2019
- [j23]Zhiqiang Gong, Ping Zhong, Weidong Hu:
Diversity in Machine Learning. IEEE Access 7: 64323-64350 (2019) - [j22]Zhiqiang Gong, Ping Zhong, Weidong Hu:
Unsupervised Deep Feature Learning With Iteratively Refined Pseudo Classes for Scene Representation. IEEE Access 7: 94779-94792 (2019) - [j21]Zhiqiang Gong, Ping Zhong, Weidong Hu, Yuming Hua:
Joint Learning of the Center Points and Deep Metrics for Land-Use Classification in Remote Sensing. Remote. Sens. 11(1): 76 (2019) - [j20]Zhiqiang Gong, Ping Zhong, Yang Yu, Weidong Hu, Shutao Li:
A CNN With Multiscale Convolution and Diversified Metric for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(6): 3599-3618 (2019) - [c17]Zhiqiang Gong, Ping Zhong, Weidong Hu, Fang Liu, Bingwei Hui:
An End-to-End Joint Unsupervised Learning of Deep Model and Pseudo-Classes for Remote Sensing Scene Representation. IJCNN 2019: 1-7 - [i7]Zhiqiang Gong, Ping Zhong, Weidong Hu, Fang Liu, Bingwei Hui:
An End-to-End Joint Unsupervised Learning of Deep Model and Pseudo-Classes for Remote Sensing Scene Representation. CoRR abs/1903.07224 (2019) - [i6]Zhiqiang Gong, Ping Zhong, Weidong Hu, Zixuan Xiao, Xuping Yin:
A novel statistical metric learning for hyperspectral image classification. CoRR abs/1905.05087 (2019) - [i5]Sheng Wan, Chen Gong, Ping Zhong, Bo Du, Lefei Zhang, Jian Yang:
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification. CoRR abs/1905.06133 (2019) - [i4]Sheng Wan, Chen Gong, Ping Zhong, Shirui Pan, Guangyu Li, Jian Yang:
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network. CoRR abs/1909.11953 (2019) - [i3]Zhiqiang Gong, Weidong Hu, Xiaoyong Du, Ping Zhong, Panhe Hu:
Deep Manifold Embedding for Hyperspectral Image Classification. CoRR abs/1912.11264 (2019) - [i2]Zhiqiang Gong, Ping Zhong, Weidong Hu:
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification. CoRR abs/1912.12385 (2019) - 2018
- [j19]Yang Yu, Zhiqiang Gong, Cheng Wang, Ping Zhong:
An Unsupervised Convolutional Feature Fusion Network for Deep Representation of Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 15(1): 23-27 (2018) - [j18]Zhiqiang Gong, Ping Zhong, Yang Yu, Weidong Hu:
Diversity-Promoting Deep Structural Metric Learning for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 56(1): 371-390 (2018) - [c16]Zhiqiang Gong, Ping Zhong, Jiaxin Shan, Weidong Hu:
Diversifying Deep Multiple Choices for Remote Sensing Scene Classification. IGARSS 2018: 4744-4747 - [c15]Zhiqiang Gong, Ping Zhong, Jiaxin Shan, Weidong Hu:
A Diversified Deep Ensemble for Hyperspectral Image Classification. WHISPERS 2018: 1-5 - [c14]Jiaxin Shan, Zhiqiang Gong, Ping Zhong:
A Bag-Level Data Imbalanced Multiple Instance Hyperspectral Target Representation. WHISPERS 2018: 1-5 - [i1]Zhiqiang Gong, Ping Zhong, Weidong Hu:
Diversity in Machine Learning. CoRR abs/1807.01477 (2018) - 2017
- [j17]Yuting Chen, Lihua Liu, Zhiqiang Gong, Ping Zhong:
Learning CNN to Pair UAV Video Image Patches. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(12): 5752-5768 (2017) - [j16]Ping Zhong, Zhiqiang Gong, Shutao Li, Carola-Bibiane Schönlieb:
Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(6): 3516-3530 (2017) - [c13]Yang Yu, Zhiqiang Gong, Ping Zhong, Jiaxin Shan:
Unsupervised Representation Learning with Deep Convolutional Neural Network for Remote Sensing Images. ICIG (2) 2017: 97-108 - [c12]Yang Yu, Ping Zhong, Zhiqiang Gong:
Balanced data driven sparsity for unsupervised deep feature learning in remote sensing images classification. IGARSS 2017: 668-671 - [c11]Zhiqiang Gong, Ping Zhong, Yang Yu, Weidong Hu:
Diversified deep structural metric learning for land use classification in remote sensing images. IGARSS 2017: 1676-1679 - [c10]Zhiqiang Gong, Ping Zhong, Yang Yu, Jiaxin Shan, Weidong Hu:
Joint learning of deep multi-scale features and diversified metrics for hyperspectral image classification. MLSP 2017: 1-6 - 2016
- [j15]Zhiming Qian, Ping Zhong, Jia Chen:
Integrating global and local visual features with semantic hierarchies for two-level image annotation. Neurocomputing 171: 1167-1174 (2016) - [c9]Ping Zhong, Zhiqiang Gong, Carola-Bibiane Schönlieb:
A DBN-crf for spectral-spatial classification of hyperspectral data. ICPR 2016: 1219-1224 - [c8]Shujin Sun, Ping Zhong, Huaitie Xiao, Yuting Chen, Zhiqiang Gong, Runsheng Wang:
Spectral-spatial classification of hyperspectral images with Gaussian process. IGARSS 2016: 473-476 - 2015
- [j14]Zhiming Qian, Ping Zhong, Runsheng Wang:
Class-specific Gaussian-multinomial latent Dirichlet allocation for image annotation. EURASIP J. Adv. Signal Process. 2015: 40 (2015) - [j13]Shujin Sun, Ping Zhong, Huaitie Xiao, Runsheng Wang:
An MRF Model-Based Active Learning Framework for the Spectral-Spatial Classification of Hyperspectral Imagery. IEEE J. Sel. Top. Signal Process. 9(6): 1074-1088 (2015) - [j12]Zhiming Qian, Ping Zhong, Runsheng Wang:
Personalized image annotation via class-specific cross-domain learning. Signal Process. Image Commun. 34: 61-71 (2015) - [j11]Zhiming Qian, Ping Zhong, Runsheng Wang:
Tag Refinement for User-Contributed Images via Graph Learning and Nonnegative Tensor Factorization. IEEE Signal Process. Lett. 22(9): 1302-1305 (2015) - [j10]Ping Zhong, Peng Ni, Runsheng Wang:
Learning to Diversify Patch-Based Priors for Remote Sensing Image Restoration. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(11): 5225-5245 (2015) - [j9]Shujin Sun, Ping Zhong, Huaitie Xiao, Runsheng Wang:
Active Learning With Gaussian Process Classifier for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 53(4): 1746-1760 (2015) - [c7]Shujin Sun, Ping Zhong, Huaitie Xiao, Fang Liu, Runsheng Wang:
An active learning method based on Markov random fields for hyperspectral images classification. WHISPERS 2015: 1-4 - [c6]Shujin Sun, Ping Zhong, Huaitie Xiao, Fang Liu, Runsheng Wang:
An active learning method based on SVM classifier for hyperspectral images classification. WHISPERS 2015: 1-4 - 2014
- [j8]Ping Zhong, Runsheng Wang:
Jointly Learning the Hybrid CRF and MLR Model for Simultaneous Denoising and Classification of Hyperspectral Imagery. IEEE Trans. Neural Networks Learn. Syst. 25(7): 1319-1334 (2014) - [c5]Zhiming Qian, Ping Zhong, Runsheng Wang:
Hierarchical Unsupervised Object Segmentation with Manifold Regularization. ICIMCS 2014: 266 - [c4]Zhiming Qian, Ping Zhong, Runsheng Wang:
Tensor Representation for Image Annotation with Collective Groups. ICIMCS 2014: 422 - 2013
- [j7]Ping Zhong, Runsheng Wang:
Multiple-Spectral-Band CRFs for Denoising Junk Bands of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 51(4-2): 2260-2275 (2013) - 2012
- [c3]Ping Zhong, Zhiming Qian, Runsheng Wang:
Dynamic Learning of SCRF for Feature Selection and Classification of Hyperspectral Imagery. SSPR/SPR 2012: 254-263 - 2011
- [j6]Ping Zhong, Runsheng Wang:
Modeling and Classifying Hyperspectral Imagery by CRFs With Sparse Higher Order Potentials. IEEE Trans. Geosci. Remote. Sens. 49(2): 688-705 (2011) - 2010
- [j5]Ping Zhong, Runsheng Wang:
Learning Conditional Random Fields for Classification of Hyperspectral Images. IEEE Trans. Image Process. 19(7): 1890-1907 (2010)
2000 – 2009
- 2008
- [j4]Ping Zhong, Peng Zhang, Runsheng Wang:
Dynamic Learning of SMLR for Feature Selection and Classification of Hyperspectral Data. IEEE Geosci. Remote. Sens. Lett. 5(2): 280-284 (2008) - [j3]Ping Zhong, Runsheng Wang:
Learning Sparse CRFs for Feature Selection and Classification of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 46(12): 4186-4197 (2008) - 2007
- [j2]Ping Zhong, Runsheng Wang:
Using Combination of Statistical Models and Multilevel Structural Information for Detecting Urban Areas From a Single Gray-Level Image. IEEE Trans. Geosci. Remote. Sens. 45(5-2): 1469-1482 (2007) - [j1]Ping Zhong, Runsheng Wang:
A Multiple Conditional Random Fields Ensemble Model for Urban Area Detection in Remote Sensing Optical Images. IEEE Trans. Geosci. Remote. Sens. 45(12-1): 3978-3988 (2007) - [c2]Ping Zhong, Fang Liu, Runsheng Wang:
A New MRF Framework with Dual Adaptive Contexts for Image Segmentation. CIS 2007: 351-355 - 2006
- [c1]Ping Zhong, Runsheng Wang:
Object Detection Based on Combination of Conditional Random Field and Markov Random Field. ICPR (3) 2006: 160-163
Coauthor Index
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