Zhiqiang Gong - RankMe

85 papers A* 1B 4C 4Misc 1Journal 69Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A generic quality and accuracy driven uncertainty quantification framework for reliability analysis. Reliab. Eng. Syst. Saf. Yingchun Xu, Wen Yao, Xiaohu Zheng, Zhiqiang Gong, Lei Yan, Na Xu
2025	J	`jnl`	Learning to Reconstruct Temperature Field from Sparse Observations with Implicit Physics Priors. CoRR Shihang Li, Zhiqiang Gong, Weien Zhou, Yue Gao, Wen Yao
2025	J	`jnl`	Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders. IEEE Trans. Neural Networks Learn. Syst. Jiahao Qi, Zhiqiang Gong, Xingyue Liu, Chen Chen, Ping Zhong
2025	J	`jnl`	SynergyWarpNet: Attention-Guided Cooperative Warping for Neural Portrait Animation. CoRR Shihang Li, Zhiqiang Gong, Minming Ye, Yue Gao, Wen Yao
2024	J	`jnl`	A hybrid method based on proper orthogonal decomposition and deep neural networks for flow and heat field reconstruction. Expert Syst. Appl. Xiaoyu Zhao, Xiaoqian Chen, Zhiqiang Gong, Wen Yao, Yunyang Zhang
2024	J	`jnl`	A novel PoI temperature prediction method for heat source system based on graph convolutional networks. Eng. Appl. Artif. Intell. Qiao Li, Wen Yao, Xingchen Li, Zhiqiang Gong, Xiaohu Zheng
2024	J	`jnl`	An online surrogate-assisted neighborhood search algorithm based on deep neural network for thermal layout optimization. Complex Intell. Syst. Jiliang Zhao, Handing Wang, Wen Yao, Wei Peng, Zhiqiang Gong
2024	J	`jnl`	Contrastive enhancement using latent prototype for few-shot segmentation. Digit. Signal Process. Xiaoyu Zhao, Xiaoqian Chen, Zhiqiang Gong, Wen Yao, Yunyang Zhang, Xiaohu Zheng
2024	J	`jnl`	Deep Intrinsic Decomposition With Adversarial Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Zhiqiang Gong, Jiahao Qi, Ping Zhong, Xian Zhou, Wen Yao
2024	J	`jnl`	Empowering Physical Attacks With Jacobian Matrix Regularization Against ViT-Based Detectors in UAV Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Yu Zhang, Zhiqiang Gong, Wenlin Liu, Hao Wen, Pengcheng Wan, Jiahao Qi, Xikun Hu, Ping Zhong
2024	J	`jnl`	HyperDID: Hyperspectral Intrinsic Image Decomposition With Deep Feature Embedding. IEEE Trans. Geosci. Remote. Sens. Zhiqiang Gong, Xian Zhou, Wen Yao, Xiaohu Zheng, Ping Zhong
2024	J	`jnl`	Learnable quantile polynomial chaos expansion: An uncertainty quantification method for interval reliability analysis. Reliab. Eng. Syst. Saf. Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Xiaoya Zhang
2024	J	`jnl`	MultiScale spectral-spatial convolutional transformer for hyperspectral image classification. IET Image Process. Zhiqiang Gong, Xian Zhou, Wen Yao
2024	J	`jnl`	Pattern Corruption-Assisted Physical Attacks Against Object Detection in UAV Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yu Zhang, Zhiqiang Gong, Hao Wen, Xikun Hu, Xiaoyan Xia, Hejun Jiang, Ping Zhong
2024	J	`jnl`	Uncertainty guided ensemble self-training for semi-supervised global field reconstruction. Complex Intell. Syst. Yunyang Zhang, Zhiqiang Gong, Xiaoyu Zhao, Wen Yao
2023	J	`jnl`	A CNN with noise inclined module and denoise framework for hyperspectral image classification. IET Image Process. Zhiqiang Gong, Ping Zhong, Wen Yao, Weien Zhou, Jiahao Qi, Panhe Hu
2023	B	`conf`	A Unified Framework of Deep Neural Networks and Gappy Proper Orthogonal Decomposition for Global Field Reconstruction. IJCNN Xiaoyu Zhao, Zhiqiang Gong, Xiaoqian Chen, Wen Yao, Yunyang Zhang
2023	J	`jnl`	A machine learning surrogate modeling benchmark for temperature field reconstruction of heat source systems. Sci. China Inf. Sci. Xiaoqian Chen, Zhiqiang Gong, Xiaoyu Zhao, Weien Zhou, Wen Yao
2023	J	`jnl`	Boosting transferability of physical attack against detectors by redistributing separable attention. Pattern Recognit. Yu Zhang, Zhiqiang Gong, Yichuang Zhang, Kangcheng Bin, Yongqian Li, Jiahao Qi, Hao Wen, Ping Zhong
2023	J	`jnl`	Deep Intrinsic Decomposition with Adversarial Learning for Hyperspectral Image Classification. CoRR Zhiqiang Gong, Xian Zhou, Wen Yao
2023	J	`jnl`	Dual-Branch Fourier-Mixing Transformer Network for Hyperspectral Target Detection. Remote. Sens. Jinyue Jiao, Zhiqiang Gong, Ping Zhong
2023	J	`jnl`	HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature Embedding. CoRR Zhiqiang Gong, Xian Zhou, Wen Yao, Xiaohu Zheng, Ping Zhong
2023	J	`jnl`	Joint deep reversible regression model and physics-informed unsupervised learning for temperature field reconstruction. Eng. Appl. Artif. Intell. Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao
2023	J	`jnl`	Multi-fidelity prediction of fluid flow and temperature field based on transfer learning using Fourier Neural Operator. CoRR Yanfang Lyu, Xiaoyu Zhao, Zhiqiang Gong, Xiao Kang, Wen Yao
2023	J	`jnl`	Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network. CoRR Yunyang Zhang, Zhiqiang Gong, Weien Zhou, Xiaoyu Zhao, Xiaohu Zheng, Wen Yao
2023	J	`jnl`	Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network. Eng. Appl. Artif. Intell. Yunyang Zhang, Zhiqiang Gong, Weien Zhou, Xiaoyu Zhao, Xiaohu Zheng, Wen Yao
2023	J	`jnl`	MultiScale Spectral-Spatial Convolutional Transformer for Hyperspectral Image Classification. CoRR Zhiqiang Gong, Xian Zhou, Wen Yao
2023	J	`jnl`	Physics-informed convolutional neural networks for temperature field prediction of heat source layout without labeled data. Eng. Appl. Artif. Intell. Xiaoyu Zhao, Zhiqiang Gong, Yunyang Zhang, Wen Yao, Xiaoqian Chen
2023	J	`jnl`	RBUE: a ReLU-based uncertainty estimation method for convolutional neural networks. Complex Intell. Syst. Yufeng Xia, Jun Zhang, Zhiqiang Gong, Tingsong Jiang, Wen Yao
2023	J	`jnl`	RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator. CoRR Xiaoyu Zhao, Xiaoqian Chen, Zhiqiang Gong, Weien Zhou, Wen Yao, Yunyang Zhang
2023	J	`jnl`	Reliability analysis of heat source layout temperature field prediction considering uncertainty in deep neural network surrogate models. Qual. Reliab. Eng. Int. Yufeng Xia, Wen Yao, Xiaohu Zheng, Zhiqiang Gong
2023	J	`jnl`	Triplet Spectralwise Transformer Network for Hyperspectral Target Detection. IEEE Trans. Geosci. Remote. Sens. Jinyue Jiao, Zhiqiang Gong, Ping Zhong
2023	J	`jnl`	Uncertainty Guided Ensemble Self-Training for Semi-Supervised Global Field Reconstruction. CoRR Yunyang Zhang, Zhiqiang Gong, Xiaoyu Zhao, Wen Yao
2022	J	`jnl`	A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image Classification. CoRR Zhiqiang Gong, Ping Zhong, Jiahao Qi, Panhe Hu
2022	J	`jnl`	A deep learning method based on patchwise training for reconstructing temperature field. CoRR Xingwen Peng, Xingchen Li, Zhiqiang Gong, Xiaoyu Zhao, Wen Yao
2022	J	`jnl`	Contrastive Enhancement Using Latent Prototype for Few-Shot Segmentation. CoRR Xiaoyu Zhao, Xiaoqian Chen, Zhiqiang Gong, Wen Yao, Yunyang Zhang, Xiaohu Zheng
2022	J	`jnl`	Data-Driven Artificial Intelligence Model of Meteorological Elements Influence on Vegetation Coverage in North China. Remote. Sens. Huimin Bai, Zhiqiang Gong, Gui-Quan Sun, Li Li
2022	J	`jnl`	Deep Manifold Embedding for Hyperspectral Image Classification. IEEE Trans. Cybern. Zhiqiang Gong, Weidong Hu, Xiaoyong Du, Ping Zhong, Panhe Hu
2022	B	`conf`	Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction. IJCNN Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Yunyang Zhang, Xiaoyu Zhao, Tingsong Jiang
2022	J	`jnl`	Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction. CoRR Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Yunyang Zhang, Xiaoyu Zhao, Tingsong Jiang
2022	A*	`conf`	FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack. AAAI Donghua Wang, Tingsong Jiang, Jialiang Sun, Weien Zhou, Zhiqiang Gong, Xiaoya Zhang, Wen Yao, Xiaoqian Chen
2022	J	`jnl`	Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders. CoRR Jiahao Qi, Zhiqiang Gong, Xingyue Liu, Kangcheng Bin, Chen Chen, Yongqian Li, Wei Xue, Yu Zhang, Ping Zhong
2022	J	`jnl`	Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis. CoRR Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Yunyang Zhang, Xiaoya Zhang
2022	—	`conf`	Semi-supervised Semantic Segmentation with Uncertainty-Guided Self Cross Supervision. ACCV (7) Yunyang Zhang, Zhiqiang Gong, Xiaoyu Zhao, Xiaohu Zheng, Wen Yao
2022	J	`jnl`	Semi-supervision semantic segmentation with uncertainty-guided self cross supervision. CoRR Yunyang Zhang, Zhiqiang Gong, Xiaohu Zheng, Xiaoyu Zhao, Wen Yao
2022	J	`jnl`	Temperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks. CoRR Xu Liu, Wei Peng, Zhiqiang Gong, Weien Zhou, Wen Yao
2022	J	`jnl`	Temperature field inversion of heat-source systems via physics-informed neural networks. Eng. Appl. Artif. Intell. Xu Liu, Wei Peng, Zhiqiang Gong, Weien Zhou, Wen Yao
2022	J	`jnl`	Transferable Physical Attack against Object Detection with Separable Attention. CoRR Yu Zhang, Zhiqiang Gong, Yichuang Zhang, Yongqian Li, Kangcheng Bin, Jiahao Qi, Wei Xue, Ping Zhong
2021	J	`jnl`	A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout. CoRR Xianqi Chen, Xiaoyu Zhao, Zhiqiang Gong, Jun Zhang, Weien Zhou, Xiaoqian Chen, Wen Yao
2021	J	`jnl`	A Self-Improving Framework for Joint Depth Estimation and Underwater Target Detection from Hyperspectral Imagery. Remote. Sens. Jiahao Qi, Pengcheng Wan, Zhiqiang Gong, Wei Xue, Aihuan Yao, Xingyue Liu, Ping Zhong
2021	J	`jnl`	An Unmixing-Based Network for Underwater Target Detection From Hyperspectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Jiahao Qi, Zhiqiang Gong, Wei Xue, Xingyue Liu, Aihuan Yao, Ping Zhong
2021	J	`jnl`	Bathymetric-Based Band Selection Method for Hyperspectral Underwater Target Detection. Remote. Sens. Jiahao Qi, Zhiqiang Gong, Aihuan Yao, Xingyue Liu, Yongqian Li, Yichuang Zhang, Ping Zhong
2021	J	`jnl`	FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack. CoRR Donghua Wang, Tingsong Jiang, Jialiang Sun, Weien Zhou, Xiaoya Zhang, Zhiqiang Gong, Wen Yao, Xiaoqian Chen
2021	J	`jnl`	Hybrid Sequence Networks for Unsupervised Water Properties Estimation From Hyperspectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Jiahao Qi, Wei Xue, Zhiqiang Gong, Shaoquan Zhang, Aihuan Yao, Ping Zhong
2021	J	`jnl`	Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems. CoRR Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao
2021	J	`jnl`	Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data. CoRR Xiaoyu Zhao, Zhiqiang Gong, Yunyang Zhang, Wen Yao, Xiaoqian Chen
2021	J	`jnl`	Randomized ReLU Activation for Uncertainty Estimation of Deep Neural Networks. CoRR Yufeng Xia, Jun Zhang, Zhiqiang Gong, Tingsong Jiang, Wen Yao
2021	J	`jnl`	Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. Zhiqiang Gong, Ping Zhong, Weidong Hu
2021	J	`jnl`	TFRD: A Benchmark Dataset for Research on Temperature Field Reconstruction of Heat-Source Systems. CoRR Xiaoqian Chen, Zhiqiang Gong, Xiaoyu Zhao, Weien Zhou, Wen Yao
2020	J	`jnl`	Multiple Instance Learning for Multiple Diverse Hyperspectral Target Characterizations. IEEE Trans. Neural Networks Learn. Syst. Ping Zhong, Zhiqiang Gong, Jiaxin Shan
2019	J	`jnl`	A CNN With Multiscale Convolution and Diversified Metric for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Zhiqiang Gong, Ping Zhong, Yang Yu, Weidong Hu, Shutao Li
2019	J	`jnl`	A novel statistical metric learning for hyperspectral image classification. CoRR Zhiqiang Gong, Ping Zhong, Weidong Hu, Zixuan Xiao, Xuping Yin
2019	B	`conf`	An End-to-End Joint Unsupervised Learning of Deep Model and Pseudo-Classes for Remote Sensing Scene Representation. IJCNN Zhiqiang Gong, Ping Zhong, Weidong Hu, Fang Liu, Bingwei Hui
2019	J	`jnl`	An End-to-End Joint Unsupervised Learning of Deep Model and Pseudo-Classes for Remote Sensing Scene Representation. CoRR Zhiqiang Gong, Ping Zhong, Weidong Hu, Fang Liu, Bingwei Hui
2019	J	`jnl`	Deep Manifold Embedding for Hyperspectral Image Classification. CoRR Zhiqiang Gong, Weidong Hu, Xiaoyong Du, Ping Zhong, Panhe Hu
2019	J	`jnl`	Diversity in Machine Learning. IEEE Access Zhiqiang Gong, Ping Zhong, Weidong Hu
2019	J	`jnl`	Joint Learning of the Center Points and Deep Metrics for Land-Use Classification in Remote Sensing. Remote. Sens. Zhiqiang Gong, Ping Zhong, Weidong Hu, Yuming Hua
2019	J	`jnl`	Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification. CoRR Zhiqiang Gong, Ping Zhong, Weidong Hu
2019	J	`jnl`	Unsupervised Deep Feature Learning With Iteratively Refined Pseudo Classes for Scene Representation. IEEE Access Zhiqiang Gong, Ping Zhong, Weidong Hu
2018	—	`conf`	A Bag-Level Data Imbalanced Multiple Instance Hyperspectral Target Representation. WHISPERS Jiaxin Shan, Zhiqiang Gong, Ping Zhong
2018	—	`conf`	A Diversified Deep Ensemble for Hyperspectral Image Classification. WHISPERS Zhiqiang Gong, Ping Zhong, Jiaxin Shan, Weidong Hu
2018	J	`jnl`	An Unsupervised Convolutional Feature Fusion Network for Deep Representation of Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. Yang Yu, Zhiqiang Gong, Cheng Wang, Ping Zhong
2018	C	`conf`	Diversifying Deep Multiple Choices for Remote Sensing Scene Classification. IGARSS Zhiqiang Gong, Ping Zhong, Jiaxin Shan, Weidong Hu
2018	J	`jnl`	Diversity in Machine Learning. CoRR Zhiqiang Gong, Ping Zhong, Weidong Hu
2018	J	`jnl`	Diversity-Promoting Deep Structural Metric Learning for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. Zhiqiang Gong, Ping Zhong, Yang Yu, Weidong Hu
2017	C	`conf`	Balanced data driven sparsity for unsupervised deep feature learning in remote sensing images classification. IGARSS Yang Yu, Ping Zhong, Zhiqiang Gong
2017	C	`conf`	Diversified deep structural metric learning for land use classification in remote sensing images. IGARSS Zhiqiang Gong, Ping Zhong, Yang Yu, Weidong Hu
2017	—	`conf`	Joint learning of deep multi-scale features and diversified metrics for hyperspectral image classification. MLSP Zhiqiang Gong, Ping Zhong, Yang Yu, Jiaxin Shan, Weidong Hu
2017	J	`jnl`	Learning CNN to Pair UAV Video Image Patches. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yuting Chen, Lihua Liu, Zhiqiang Gong, Ping Zhong
2017	J	`jnl`	Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Ping Zhong, Zhiqiang Gong, Shutao Li, Carola-Bibiane Schönlieb
2017	—	`conf`	Unsupervised Representation Learning with Deep Convolutional Neural Network for Remote Sensing Images. ICIG (2) Yang Yu, Zhiqiang Gong, Ping Zhong, Jiaxin Shan
2016	B	`conf`	A DBN-crf for spectral-spatial classification of hyperspectral data. ICPR Ping Zhong, Zhiqiang Gong, Carola-Bibiane Schönlieb
2016	C	`conf`	Spectral-spatial classification of hyperspectral images with Gaussian process. IGARSS Shujin Sun, Ping Zhong, Huaitie Xiao, Yuting Chen, Zhiqiang Gong, Runsheng Wang
2011	Misc	`conf`	Spatiotemporal characteristics of the vertical structure of predictability over the Northern Hemisphere. ICNC Aixia Feng, Qiguang Wang, Zhiqiang Gong, Guolin Feng
2008	—	`conf`	Using Hybrid Algorithm for Automatic Recommendation Service. WKDD Yanwen Wu, Zhen Huang, Zhiqiang Gong