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2020 – today
- 2024
[j34]Xiaoyu Zhao
, Xiaoqian Chen, Zhiqiang Gong, Wen Yao, Yunyang Zhang, Xiaohu Zheng:
Contrastive enhancement using latent prototype for few-shot segmentation. Digit. Signal Process. 144: 104282 (2024)- [j33]Qiao Li, Wen Yao, Xingchen Li, Zhiqiang Gong, Xiaohu Zheng:
A novel PoI temperature prediction method for heat source system based on graph convolutional networks. Eng. Appl. Artif. Intell. 128: 107482 (2024) - [j32]Xiaoyu Zhao, Xiaoqian Chen, Zhiqiang Gong, Wen Yao, Yunyang Zhang:
A hybrid method based on proper orthogonal decomposition and deep neural networks for flow and heat field reconstruction. Expert Syst. Appl. 247: 123137 (2024) - [j31]Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Xiaoya Zhang:
Learnable quantile polynomial chaos expansion: An uncertainty quantification method for interval reliability analysis. Reliab. Eng. Syst. Saf. 245: 110036 (2024) - [j30]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) - [j29]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) - [j28]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) - [j27]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) - 2023
- [j26]Xiaoqian Chen, Zhiqiang Gong, Xiaoyu Zhao, Weien Zhou, Wen Yao:
A machine learning surrogate modeling benchmark for temperature field reconstruction of heat source systems. Sci. China Inf. Sci. 66(5) (2023) - [j25]Xiaoyu Zhao, Zhiqiang Gong, Yunyang Zhang, Wen Yao, Xiaoqian Chen:
Physics-informed convolutional neural networks for temperature field prediction of heat source layout without labeled data. Eng. Appl. Artif. Intell. 117(Part): 105516 (2023) - [j24]Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao:
Joint deep reversible regression model and physics-informed unsupervised learning for temperature field reconstruction. Eng. Appl. Artif. Intell. 118: 105686 (2023) - [j23]Yunyang Zhang, Zhiqiang Gong, Weien Zhou, Xiaoyu Zhao, Xiaohu Zheng, Wen Yao:
Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network. Eng. Appl. Artif. Intell. 123(Part B): 106354 (2023) - [j22]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) - [j21]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) - [j20]Yufeng Xia, Wen Yao, Xiaohu Zheng, Zhiqiang Gong:
Reliability analysis of heat source layout temperature field prediction considering uncertainty in deep neural network surrogate models. Qual. Reliab. Eng. Int. 39(5): 1775-1795 (2023) - [j19]Jinyue Jiao, Zhiqiang Gong, Ping Zhong:
Dual-Branch Fourier-Mixing Transformer Network for Hyperspectral Target Detection. Remote. Sens. 15(19): 4675 (2023) - [j18]Jinyue Jiao, Zhiqiang Gong, Ping Zhong:
Triplet Spectralwise Transformer Network for Hyperspectral Target Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [c16]Xiaoyu Zhao, Zhiqiang Gong, Xiaoqian Chen, Wen Yao, Yunyang Zhang:
A Unified Framework of Deep Neural Networks and Gappy Proper Orthogonal Decomposition for Global Field Reconstruction. IJCNN 2023: 1-8 - [i27]Yunyang Zhang, Zhiqiang Gong, Weien Zhou, Xiaoyu Zhao, Xiaohu Zheng, Wen Yao:
Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network. CoRR abs/2301.06674 (2023) - [i26]Xiaoyu Zhao, Xiaoqian Chen, Zhiqiang Gong, Weien Zhou, Wen Yao, Yunyang Zhang:
RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator. CoRR abs/2302.09808 (2023) - [i25]Yunyang Zhang, Zhiqiang Gong, Xiaoyu Zhao, Wen Yao:
Uncertainty Guided Ensemble Self-Training for Semi-Supervised Global Field Reconstruction. CoRR abs/2302.11940 (2023) - [i24]Yanfang Lyu, Xiaoyu Zhao, Zhiqiang Gong, Xiao Kang, Wen Yao:
Multi-fidelity prediction of fluid flow and temperature field based on transfer learning using Fourier Neural Operator. CoRR abs/2304.06972 (2023) - [i23]Zhiqiang Gong, Xian Zhou, Wen Yao:
Deep Intrinsic Decomposition with Adversarial Learning for Hyperspectral Image Classification. CoRR abs/2310.18549 (2023) - [i22]Zhiqiang Gong, Xian Zhou, Wen Yao:
MultiScale Spectral-Spatial Convolutional Transformer for Hyperspectral Image Classification. CoRR abs/2310.18550 (2023) - [i21]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
- [j17]Xu Liu, Wei Peng, Zhiqiang Gong, Weien Zhou, Wen Yao:
Temperature field inversion of heat-source systems via physics-informed neural networks. Eng. Appl. Artif. Intell. 113: 104902 (2022) - [j16]Huimin Bai, Zhiqiang Gong, Gui-Quan Sun, Li Li:
Data-Driven Artificial Intelligence Model of Meteorological Elements Influence on Vegetation Coverage in North China. Remote. Sens. 14(6): 1307 (2022) - [j15]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) - [c15]Donghua Wang, Tingsong Jiang, Jialiang Sun, Weien Zhou, Zhiqiang Gong, Xiaoya Zhang, Wen Yao, Xiaoqian Chen:
FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack. AAAI 2022: 2414-2422 - [c14]Yunyang Zhang, Zhiqiang Gong, Xiaoyu Zhao, Xiaohu Zheng, Wen Yao:
Semi-supervised Semantic Segmentation with Uncertainty-Guided Self Cross Supervision. ACCV (7) 2022: 327-343 - [c13]Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Yunyang Zhang, Xiaoyu Zhao, Tingsong Jiang:
Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction. IJCNN 2022: 1-8 - [i20]Xu Liu, Wei Peng, Zhiqiang Gong, Weien Zhou, Wen Yao:
Temperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks. CoRR abs/2201.06880 (2022) - [i19]Xingwen Peng, Xingchen Li, Zhiqiang Gong, Xiaoyu Zhao, Wen Yao:
A deep learning method based on patchwise training for reconstructing temperature field. CoRR abs/2201.10860 (2022) - [i18]Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Yunyang Zhang, Xiaoyu Zhao, Tingsong Jiang:
Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction. CoRR abs/2202.06596 (2022) - [i17]Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Yunyang Zhang, Xiaoya Zhang:
Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis. CoRR abs/2202.06860 (2022) - [i16]Xiaoyu Zhao, Xiaoqian Chen, Zhiqiang Gong, Wen Yao, Yunyang Zhang, Xiaohu Zheng:
Contrastive Enhancement Using Latent Prototype for Few-Shot Segmentation. CoRR abs/2203.04095 (2022) - [i15]Yunyang Zhang, Zhiqiang Gong, Xiaohu Zheng, Xiaoyu Zhao, Wen Yao:
Semi-supervision semantic segmentation with uncertainty-guided self cross supervision. CoRR abs/2203.05118 (2022) - [i14]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) - [i13]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) - [i12]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
- [j14]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) - [j13]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) - [j12]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) - [j11]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) - [j10]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) - [i11]Xianqi Chen, Xiaoyu Zhao, Zhiqiang Gong, Jun Zhang, Weien Zhou, Xiaoqian Chen, Wen Yao:
A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout. CoRR abs/2103.11177 (2021) - [i10]Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao:
Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems. CoRR abs/2106.11929 (2021) - [i9]Yufeng Xia, Jun Zhang, Zhiqiang Gong, Tingsong Jiang, Wen Yao:
Randomized ReLU Activation for Uncertainty Estimation of Deep Neural Networks. CoRR abs/2107.07197 (2021) - [i8]Xiaoqian Chen, Zhiqiang Gong, Xiaoyu Zhao, Weien Zhou, Wen Yao:
TFRD: A Benchmark Dataset for Research on Temperature Field Reconstruction of Heat-Source Systems. CoRR abs/2108.08298 (2021) - [i7]Donghua Wang, Tingsong Jiang, Jialiang Sun, Weien Zhou, Xiaoya Zhang, Zhiqiang Gong, Wen Yao, Xiaoqian Chen:
FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack. CoRR abs/2109.07193 (2021) - [i6]Xiaoyu Zhao, Zhiqiang Gong, Yunyang Zhang, Wen Yao, Xiaoqian Chen:
Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data. CoRR abs/2109.12482 (2021) - 2020
- [j9]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)
2010 – 2019
- 2019
- [j8]Zhiqiang Gong, Ping Zhong, Weidong Hu:
Diversity in Machine Learning. IEEE Access 7: 64323-64350 (2019) - [j7]Zhiqiang Gong, Ping Zhong, Weidong Hu:
Unsupervised Deep Feature Learning With Iteratively Refined Pseudo Classes for Scene Representation. IEEE Access 7: 94779-94792 (2019) - [j6]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) - [j5]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) - [c12]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 - [i5]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) - [i4]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
- [j4]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) - [j3]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) - [c11]Zhiqiang Gong, Ping Zhong, Jiaxin Shan, Weidong Hu:
Diversifying Deep Multiple Choices for Remote Sensing Scene Classification. IGARSS 2018: 4744-4747 - [c10]Zhiqiang Gong, Ping Zhong, Jiaxin Shan, Weidong Hu:
A Diversified Deep Ensemble for Hyperspectral Image Classification. WHISPERS 2018: 1-5 - [c9]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
- [j2]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) - [j1]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) - [c8]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 - [c7]Yang Yu, Ping Zhong, Zhiqiang Gong:
Balanced data driven sparsity for unsupervised deep feature learning in remote sensing images classification. IGARSS 2017: 668-671 - [c6]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 - [c5]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
- [c4]Ping Zhong, Zhiqiang Gong, Carola-Bibiane Schönlieb:
A DBN-crf for spectral-spatial classification of hyperspectral data. ICPR 2016: 1219-1224 - [c3]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 - 2011
- [c2]Aixia Feng, Qiguang Wang, Zhiqiang Gong, Guolin Feng:
Spatiotemporal characteristics of the vertical structure of predictability over the Northern Hemisphere. ICNC 2011: 2341-2344
2000 – 2009
- 2008
- [c1]Yanwen Wu, Zhen Huang, Zhiqiang Gong:
Using Hybrid Algorithm for Automatic Recommendation Service. WKDD 2008: 396-399
Coauthor Index
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