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Ping Zhong 0001
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Publications
- 2024
- [j46]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) - 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) - [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) - [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
- [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) - [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
- [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) - [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) - [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) - 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) - 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) - [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
- [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
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last updated on 2024-03-19 04:44 CET by the dblp team
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