Zhiqiang Gong

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 74

Top Topics

Temperature Field

Quantile Regression

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Eng. Appl. Artif. Intell.

Publications

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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
Zhiqiang Gong, Xian Zhou, Wen Yao
Deep Intrinsic Decomposition with Adversarial Learning for Hyperspectral Image Classification. CoRR (2023)
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) (2023)
Zhiqiang Gong, Xian Zhou, Wen Yao
MultiScale Spectral-Spatial Convolutional Transformer for Hyperspectral Image Classification. CoRR (2023)
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 (2023)
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 (2023)
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) (2023)
Jinyue Jiao, Zhiqiang Gong, Ping Zhong
Dual-Branch Fourier-Mixing Transformer Network for Hyperspectral Target Detection. Remote. Sens. 15 (19) (2023)
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)
Jinyue Jiao, Zhiqiang Gong, Ping Zhong
Triplet Spectralwise Transformer Network for Hyperspectral Target Detection. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
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 (2023)
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)
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) (2023)
Yunyang Zhang, Zhiqiang Gong, Xiaoyu Zhao, Wen Yao
Uncertainty Guided Ensemble Self-Training for Semi-Supervised Global Field Reconstruction. CoRR (2023)
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) (2023)
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 (2023)
Zhiqiang Gong, Xian Zhou, Wen Yao, Xiaohu Zheng, Ping Zhong
HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature Embedding. CoRR (2023)
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 (2023)
Huimin Bai, Zhiqiang Gong, Guiquan Sun, Li Li
Data-Driven Artificial Intelligence Model of Meteorological Elements Influence on Vegetation Coverage in North China. Remote. Sens. 14 (6) (2022)
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 (2022)
Zhiqiang Gong, Ping Zhong, Jiahao Qi, Panhe Hu
A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image Classification. CoRR (2022)
Xingwen Peng, Xingchen Li, Zhiqiang Gong, Xiaoyu Zhao, Wen Yao
A deep learning method based on patchwise training for reconstructing temperature field. CoRR (2022)
Yunyang Zhang, Zhiqiang Gong, Xiaoyu Zhao, Xiaohu Zheng, Wen Yao
Semi-supervised Semantic Segmentation with Uncertainty-Guided Self Cross Supervision. ACCV (7) (2022)
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)
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 (2022)
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 (2022)
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)
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 (2022)
Xu Liu, Wei Peng, Zhiqiang Gong, Weien Zhou, Wen Yao
Temperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks. CoRR (2022)
Xiaoyu Zhao, Xiaoqian Chen, Zhiqiang Gong, Wen Yao, Yunyang Zhang, Xiaohu Zheng
Contrastive Enhancement Using Latent Prototype for Few-Shot Segmentation. CoRR (2022)
Zhiqiang Gong, Weidong Hu, Xiaoyong Du, Ping Zhong, Panhe Hu
Deep Manifold Embedding for Hyperspectral Image Classification. IEEE Trans. Cybern. 52 (10) (2022)
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 (2022)
Yunyang Zhang, Zhiqiang Gong, Xiaohu Zheng, Xiaoyu Zhao, Wen Yao
Semi-supervision semantic segmentation with uncertainty-guided self cross supervision. CoRR (2022)
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 (2021)
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) (2021)
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 (2021)
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) (2021)
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) (2021)
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 (2021)
DonghuaWang, 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 (2021)
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 (2021)
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 (2021)
Yufeng Xia, Jun Zhang, Zhiqiang Gong, Tingsong Jiang, Wen Yao
Randomized ReLU Activation for Uncertainty Estimation of Deep Neural Networks. CoRR (2021)
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 (2021)
Ping Zhong, Zhiqiang Gong, Jiaxin Shan
Multiple Instance Learning for Multiple Diverse Hyperspectral Target Characterizations. IEEE Trans. Neural Networks Learn. Syst. 31 (1) (2020)
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) (2019)
Zhiqiang Gong, Ping Zhong, Weidong Hu
Diversity in Machine Learning. IEEE Access 7 (2019)
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 (2019)
Zhiqiang Gong, Ping Zhong, Weidong Hu, Zixuan Xiao, Xuping Yin
A novel statistical metric learning for hyperspectral image classification. CoRR (2019)
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) (2019)
Zhiqiang Gong, Ping Zhong, Weidong Hu
Unsupervised Deep Feature Learning With Iteratively Refined Pseudo Classes for Scene Representation. IEEE Access 7 (2019)
Zhiqiang Gong, Weidong Hu, Xiaoyong Du, Ping Zhong, Panhe Hu
Deep Manifold Embedding for Hyperspectral Image Classification. CoRR (2019)
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)
Zhiqiang Gong, Ping Zhong, Weidong Hu
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification. CoRR (2019)
Zhiqiang Gong, Ping Zhong, Jiaxin Shan, Weidong Hu
A Diversified Deep Ensemble for Hyperspectral Image Classification. WHISPERS (2018)
Zhiqiang Gong, Ping Zhong, Jiaxin Shan, Weidong Hu
Diversifying Deep Multiple Choices for Remote Sensing Scene Classification. IGARSS (2018)
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) (2018)
Jiaxin Shan, Zhiqiang Gong, Ping Zhong
A Bag-Level Data Imbalanced Multiple Instance Hyperspectral Target Representation. WHISPERS (2018)
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) (2018)
Zhiqiang Gong, Ping Zhong, Weidong Hu
Diversity in Machine Learning. CoRR (2018)
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) (2017)
Zhiqiang Gong, Ping Zhong, Yang Yu, Weidong Hu
Diversified deep structural metric learning for land use classification in remote sensing images. IGARSS (2017)
Yang Yu, Zhiqiang Gong, Ping Zhong, Jiaxin Shan
Unsupervised Representation Learning with Deep Convolutional Neural Network for Remote Sensing Images. ICIG (2) (2017)
Yang Yu, Ping Zhong, Zhiqiang Gong
Balanced data driven sparsity for unsupervised deep feature learning in remote sensing images classification. IGARSS (2017)
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) (2017)
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)
Shujin Sun, Ping Zhong, Huaitie Xiao, Yuting Chen, Zhiqiang Gong, Runsheng Wang
Spectral-spatial classification of hyperspectral images with Gaussian process. IGARSS (2016)
Ping Zhong, Zhiqiang Gong, Carola-Bibiane Schönlieb
A DBN-crf for spectral-spatial classification of hyperspectral data. ICPR (2016)
Aixia Feng, Qiguang Wang, Zhiqiang Gong, Guolin Feng
Spatiotemporal characteristics of the vertical structure of predictability over the Northern Hemisphere. ICNC (2011)
Yanwen Wu, Zhen Huang, Zhiqiang Gong
Using Hybrid Algorithm for Automatic Recommendation Service. WKDD (2008)