Zhiqiang Gong
Orcid: 0000-0001-7999-3014
According to our database1,
Zhiqiang Gong
authored at least 60 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Digit. Signal Process., January, 2024
IEEE Trans. Geosci. Remote. Sens., 2024
2023
Remote. Sens., October, 2023
Reliability analysis of heat source layout temperature field prediction considering uncertainty in deep neural network surrogate models.
Qual. Reliab. Eng. Int., July, 2023
Boosting transferability of physical attack against detectors by redistributing separable attention.
Pattern Recognit., June, 2023
A machine learning surrogate modeling benchmark for temperature field reconstruction of heat source systems.
Sci. China Inf. Sci., May, 2023
IEEE Trans. Geosci. Remote. Sens., 2023
A CNN with noise inclined module and denoise framework for hyperspectral image classification.
IET Image Process., 2023
Physics-informed convolutional neural networks for temperature field prediction of heat source layout without labeled data.
Eng. Appl. Artif. Intell., 2023
Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network.
Eng. Appl. Artif. Intell., 2023
Joint deep reversible regression model and physics-informed unsupervised learning for temperature field reconstruction.
Eng. Appl. Artif. Intell., 2023
MultiScale Spectral-Spatial Convolutional Transformer for Hyperspectral Image Classification.
CoRR, 2023
Deep Intrinsic Decomposition with Adversarial Learning for Hyperspectral Image Classification.
CoRR, 2023
Multi-fidelity prediction of fluid flow and temperature field based on transfer learning using Fourier Neural Operator.
CoRR, 2023
Uncertainty Guided Ensemble Self-Training for Semi-Supervised Global Field Reconstruction.
CoRR, 2023
RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator.
CoRR, 2023
A Unified Framework of Deep Neural Networks and Gappy Proper Orthogonal Decomposition for Global Field Reconstruction.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
IEEE Trans. Cybern., 2022
Data-Driven Artificial Intelligence Model of Meteorological Elements Influence on Vegetation Coverage in North China.
Remote. Sens., 2022
Temperature field inversion of heat-source systems via physics-informed neural networks.
Eng. Appl. Artif. Intell., 2022
CoRR, 2022
A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image Classification.
CoRR, 2022
CoRR, 2022
Semi-supervision semantic segmentation with uncertainty-guided self cross supervision.
CoRR, 2022
Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis.
CoRR, 2022
A deep learning method based on patchwise training for reconstructing temperature field.
CoRR, 2022
Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction.
Proceedings of the International Joint Conference on Neural Networks, 2022
Semi-supervised Semantic Segmentation with Uncertainty-Guided Self Cross Supervision.
Proceedings of the Computer Vision - ACCV 2022, 2022
FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2021
Hybrid Sequence Networks for Unsupervised Water Properties Estimation From Hyperspectral Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
An Unmixing-Based Network for Underwater Target Detection From Hyperspectral Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
A Self-Improving Framework for Joint Depth Estimation and Underwater Target Detection from Hyperspectral Imagery.
Remote. Sens., 2021
Bathymetric-Based Band Selection Method for Hyperspectral Underwater Target Detection.
Remote. Sens., 2021
TFRD: A Benchmark Dataset for Research on Temperature Field Reconstruction of Heat-Source Systems.
CoRR, 2021
CoRR, 2021
Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems.
CoRR, 2021
A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout.
CoRR, 2021
2020
Multiple Instance Learning for Multiple Diverse Hyperspectral Target Characterizations.
IEEE Trans. Neural Networks Learn. Syst., 2020
2019
A CNN With Multiscale Convolution and Diversified Metric for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2019
Joint Learning of the Center Points and Deep Metrics for Land-Use Classification in Remote Sensing.
Remote. Sens., 2019
CoRR, 2019
Unsupervised Deep Feature Learning With Iteratively Refined Pseudo Classes for Scene Representation.
IEEE Access, 2019
An End-to-End Joint Unsupervised Learning of Deep Model and Pseudo-Classes for Remote Sensing Scene Representation.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Diversity-Promoting Deep Structural Metric Learning for Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2018
An Unsupervised Convolutional Feature Fusion Network for Deep Representation of Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2018
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
IEEE Trans. Geosci. Remote. Sens., 2017
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
Joint learning of deep multi-scale features and diversified metrics for hyperspectral image classification.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Balanced data driven sparsity for unsupervised deep feature learning in remote sensing images classification.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Diversified deep structural metric learning for land use classification in remote sensing images.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Unsupervised Representation Learning with Deep Convolutional Neural Network for Remote Sensing Images.
Proceedings of the Image and Graphics - 9th International Conference, 2017
2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
2011
Spatiotemporal characteristics of the vertical structure of predictability over the Northern Hemisphere.
Proceedings of the Seventh International Conference on Natural Computation, 2011
2008
Proceedings of the International Workshop on Knowledge Discovery and Data Mining, 2008