Using Hybrid Algorithm for Automatic Recommendation Service. - Yanwen Wu; Zhen Huang; Zhiqiang Gong (WKDD, 2008)

Spatiotemporal characteristics of the vertical structure of predictability over the Northern Hemisphere. - Aixia Feng; Qiguang Wang; Zhiqiang Gong; Guolin Feng (ICNC, 2011)

A DBN-crf for spectral-spatial classification of hyperspectral data. - Ping Zhong 001; Zhiqiang Gong; Carola-Bibiane Schönlieb (ICPR, 2016)

Spectral-spatial classification of hyperspectral images with Gaussian process. - Shujin Sun; Ping Zhong 001; Huaitie Xiao; Yuting Chen; Zhiqiang Gong; Runsheng Wang (IGARSS, 2016)

Unsupervised Representation Learning with Deep Convolutional Neural Network for Remote Sensing Images. - Yang Yu 006; Zhiqiang Gong; Ping Zhong 001; Jiaxin Shan (ICIG (2), 2017)

Diversified deep structural metric learning for land use classification in remote sensing images. - Zhiqiang Gong; Ping Zhong 001; Yang Yu 006; Weidong Hu (IGARSS, 2017)

Balanced data driven sparsity for unsupervised deep feature learning in remote sensing images classification. - Yang Yu 006; Ping Zhong 001; Zhiqiang Gong (IGARSS, 2017)

Joint learning of deep multi-scale features and diversified metrics for hyperspectral image classification. - Zhiqiang Gong; Ping Zhong 001; Yang Yu 006; Jiaxin Shan; Weidong Hu (MLSP, 2017)

Learning CNN to Pair UAV Video Image Patches. - Yuting Chen; Lihua Liu 002; Zhiqiang Gong; Ping Zhong 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification. - Ping Zhong 001; Zhiqiang Gong; Shutao Li; Carola-Bibiane Schönlieb (IEEE Trans. Geosci. Remote. Sens., 2017)

Diversifying Deep Multiple Choices for Remote Sensing Scene Classification. - Zhiqiang Gong; Ping Zhong 001; Jiaxin Shan; Weidong Hu (IGARSS, 2018)

A Diversified Deep Ensemble for Hyperspectral Image Classification. - Zhiqiang Gong; Ping Zhong 001; Jiaxin Shan; Weidong Hu (WHISPERS, 2018)

A Bag-Level Data Imbalanced Multiple Instance Hyperspectral Target Representation. - Jiaxin Shan; Zhiqiang Gong; Ping Zhong 001 (WHISPERS, 2018)

An Unsupervised Convolutional Feature Fusion Network for Deep Representation of Remote Sensing Images. - Yang Yu 006; Zhiqiang Gong; Cheng Wang 003; Ping Zhong 001 (IEEE Geosci. Remote. Sens. Lett., 2018)

Diversity-Promoting Deep Structural Metric Learning for Remote Sensing Scene Classification. - Zhiqiang Gong; Ping Zhong 001; Yang Yu 006; Weidong Hu (IEEE Trans. Geosci. Remote. Sens., 2018)

An End-to-End Joint Unsupervised Learning of Deep Model and Pseudo-Classes for Remote Sensing Scene Representation. - Zhiqiang Gong; Ping Zhong 001; Weidong Hu; Fang Liu; Bingwei Hui (IJCNN, 2019)

Diversity in Machine Learning. - Zhiqiang Gong; Ping Zhong 001; Weidong Hu (IEEE Access, 2019)

Unsupervised Deep Feature Learning With Iteratively Refined Pseudo Classes for Scene Representation. - Zhiqiang Gong; Ping Zhong 001; Weidong Hu (IEEE Access, 2019)

A novel statistical metric learning for hyperspectral image classification. - Zhiqiang Gong; Ping Zhong 001; Weidong Hu; Zixuan Xiao; Xuping Yin (CoRR, 2019)

Joint Learning of the Center Points and Deep Metrics for Land-Use Classification in Remote Sensing. - Zhiqiang Gong; Ping Zhong 001; Weidong Hu; Yuming Hua (Remote. Sens., 2019)

A CNN With Multiscale Convolution and Diversified Metric for Hyperspectral Image Classification. - Zhiqiang Gong; Ping Zhong 001; Yang Yu 006; Weidong Hu; Shutao Li (IEEE Trans. Geosci. Remote. Sens., 2019)

Multiple Instance Learning for Multiple Diverse Hyperspectral Target Characterizations. - Ping Zhong 001; Zhiqiang Gong; Jiaxin Shan (IEEE Trans. Neural Networks Learn. Syst., 2020)

A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout. - Xianqi Chen; Xiaoyu Zhao; Zhiqiang Gong; Jun Zhang 052; Weien Zhou; Xiaoqian Chen; Wen Yao (CoRR, 2021)

Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems. - Zhiqiang Gong; Weien Zhou; Jun Zhang 052; Wei Peng 010; Wen Yao (CoRR, 2021)

Randomized ReLU Activation for Uncertainty Estimation of Deep Neural Networks. - Yufeng Xia; Jun Zhang 052; Zhiqiang Gong; Tingsong Jiang; Wen Yao (CoRR, 2021)

TFRD: A Benchmark Dataset for Research on Temperature Field Reconstruction of Heat-Source Systems. - Xiaoqian Chen; Zhiqiang Gong; Xiaoyu Zhao; Weien Zhou; Wen Yao (CoRR, 2021)

Bathymetric-Based Band Selection Method for Hyperspectral Underwater Target Detection. - Jiahao Qi; Zhiqiang Gong; Aihuan Yao; Xingyue Liu; Yongqian Li; Yichuang Zhang; Ping Zhong 001 (Remote. Sens., 2021)

A Self-Improving Framework for Joint Depth Estimation and Underwater Target Detection from Hyperspectral Imagery. - Jiahao Qi; Pengcheng Wan; Zhiqiang Gong; Wei Xue; Aihuan Yao; Xingyue Liu; Ping Zhong 001 (Remote. Sens., 2021)

An Unmixing-Based Network for Underwater Target Detection From Hyperspectral Imagery. - Jiahao Qi; Zhiqiang Gong; Wei Xue; Xingyue Liu; Aihuan Yao; Ping Zhong 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Hybrid Sequence Networks for Unsupervised Water Properties Estimation From Hyperspectral Imagery. - Jiahao Qi; Wei Xue; Zhiqiang Gong; Shaoquan Zhang; Aihuan Yao; Ping Zhong 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification. - Zhiqiang Gong; Ping Zhong 001; Weidong Hu (IEEE Trans. Neural Networks Learn. Syst., 2021)

FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack. - Donghua Wang; Tingsong Jiang; Jialiang Sun; Weien Zhou; Zhiqiang Gong; Xiaoya Zhang; Wen Yao; Xiaoqian Chen (AAAI, 2022)

Semi-supervised Semantic Segmentation with Uncertainty-Guided Self Cross Supervision. - Yunyang Zhang; Zhiqiang Gong; Xiaoyu Zhao; Xiaohu Zheng; Wen Yao (ACCV (7), 2022)

Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction. - Xiaohu Zheng; Wen Yao; Zhiqiang Gong; Yunyang Zhang; Xiaoyu Zhao; Tingsong Jiang (IJCNN, 2022)

A deep learning method based on patchwise training for reconstructing temperature field. - Xingwen Peng; Xingchen Li; Zhiqiang Gong; Xiaoyu Zhao; Wen Yao (CoRR, 2022)

Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis. - Xiaohu Zheng; Wen Yao; Zhiqiang Gong; Yunyang Zhang; Xiaoya Zhang (CoRR, 2022)

Semi-supervision semantic segmentation with uncertainty-guided self cross supervision. - Yunyang Zhang; Zhiqiang Gong; Xiaohu Zheng; Xiaoyu Zhao; Wen Yao (CoRR, 2022)

Transferable Physical Attack against Object Detection with Separable Attention. - Yu Zhang 221; Zhiqiang Gong; Yichuang Zhang; Yongqian Li; Kangcheng Bin; Jiahao Qi; Wei Xue; Ping Zhong 001 (CoRR, 2022)

A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image Classification. - Zhiqiang Gong; Ping Zhong 001; Jiahao Qi; Panhe Hu (CoRR, 2022)

Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders. - Jiahao Qi; Zhiqiang Gong; Xingyue Liu; Kangcheng Bin; Chen Chen; Yongqian Li; Wei Xue; Yu Zhang 221; Ping Zhong 001 (CoRR, 2022)

Temperature field inversion of heat-source systems via physics-informed neural networks. - Xu Liu 021; Wei Peng 010; Zhiqiang Gong; Weien Zhou; Wen Yao (Eng. Appl. Artif. Intell., 2022)

Data-Driven Artificial Intelligence Model of Meteorological Elements Influence on Vegetation Coverage in North China. - Huimin Bai; Zhiqiang Gong; Gui-Quan Sun; Li Li (Remote. Sens., 2022)

Deep Manifold Embedding for Hyperspectral Image Classification. - Zhiqiang Gong; Weidong Hu; Xiaoyong Du 002; Ping Zhong 001; Panhe Hu (IEEE Trans. Cybern., 2022)

A Unified Framework of Deep Neural Networks and Gappy Proper Orthogonal Decomposition for Global Field Reconstruction. - Xiaoyu Zhao; Zhiqiang Gong; Xiaoqian Chen; Wen Yao; Yunyang Zhang (IJCNN, 2023)

RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator. - Xiaoyu Zhao; Xiaoqian Chen; Zhiqiang Gong; Weien Zhou; Wen Yao; Yunyang Zhang (CoRR, 2023)

Uncertainty Guided Ensemble Self-Training for Semi-Supervised Global Field Reconstruction. - Yunyang Zhang; Zhiqiang Gong; Xiaoyu Zhao; Wen Yao (CoRR, 2023)

Multi-fidelity prediction of fluid flow and temperature field based on transfer learning using Fourier Neural Operator. - Yanfang Lyu; Xiaoyu Zhao; Zhiqiang Gong; Xiao Kang; Wen Yao (CoRR, 2023)

Deep Intrinsic Decomposition with Adversarial Learning for Hyperspectral Image Classification. - Zhiqiang Gong; Xian Zhou 003; Wen Yao (CoRR, 2023)

Joint deep reversible regression model and physics-informed unsupervised learning for temperature field reconstruction. - Zhiqiang Gong; Weien Zhou; Jun Zhang 052; Wei Peng 010; Wen Yao (Eng. Appl. Artif. Intell., 2023)

Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network. - Yunyang Zhang; Zhiqiang Gong; Weien Zhou; Xiaoyu Zhao; Xiaohu Zheng; Wen Yao (Eng. Appl. Artif. Intell., 2023)

Physics-informed convolutional neural networks for temperature field prediction of heat source layout without labeled data. - Xiaoyu Zhao; Zhiqiang Gong; Yunyang Zhang; Wen Yao; Xiaoqian Chen (Eng. Appl. Artif. Intell., 2023)

A CNN with noise inclined module and denoise framework for hyperspectral image classification. - Zhiqiang Gong; Ping Zhong 001; Wen Yao; Weien Zhou; Jiahao Qi; Panhe Hu (IET Image Process., 2023)

Triplet Spectralwise Transformer Network for Hyperspectral Target Detection. - Jinyue Jiao; Zhiqiang Gong; Ping Zhong 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

A machine learning surrogate modeling benchmark for temperature field reconstruction of heat source systems. - Xiaoqian Chen; Zhiqiang Gong; Xiaoyu Zhao; Weien Zhou; Wen Yao (Sci. China Inf. Sci., 2023)

Boosting transferability of physical attack against detectors by redistributing separable attention. - Yu Zhang 221; Zhiqiang Gong; Yichuang Zhang; Kangcheng Bin; Yongqian Li; Jiahao Qi; Hao Wen; Ping Zhong 001 (Pattern Recognit., 2023)

Reliability analysis of heat source layout temperature field prediction considering uncertainty in deep neural network surrogate models. - Yufeng Xia; Wen Yao; Xiaohu Zheng; Zhiqiang Gong (Qual. Reliab. Eng. Int., 2023)

Dual-Branch Fourier-Mixing Transformer Network for Hyperspectral Target Detection. - Jinyue Jiao; Zhiqiang Gong; Ping Zhong 001 (Remote. Sens., 2023)

A novel PoI temperature prediction method for heat source system based on graph convolutional networks. - Qiao Li; Wen Yao; Xingchen Li; Zhiqiang Gong; Xiaohu Zheng (Eng. Appl. Artif. Intell., 2024)

A hybrid method based on proper orthogonal decomposition and deep neural networks for flow and heat field reconstruction. - Xiaoyu Zhao; Xiaoqian Chen; Zhiqiang Gong; Wen Yao; Yunyang Zhang (Expert Syst. Appl., 2024)

MultiScale spectral-spatial convolutional transformer for hyperspectral image classification. - Zhiqiang Gong; Xian Zhou 003; Wen Yao (IET Image Process., 2024)

Learnable quantile polynomial chaos expansion: An uncertainty quantification method for interval reliability analysis. - Xiaohu Zheng; Wen Yao; Zhiqiang Gong; Xiaoya Zhang (Reliab. Eng. Syst. Saf., 2024)

Pattern Corruption-Assisted Physical Attacks Against Object Detection in UAV Remote Sensing. - Yu Zhang 221; Zhiqiang Gong; Hao Wen; Xikun Hu; Xiaoyan Xia; Hejun Jiang; Ping Zhong 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Deep Intrinsic Decomposition With Adversarial Learning for Hyperspectral Image Classification. - Zhiqiang Gong; Jiahao Qi; Ping Zhong 001; Xian Zhou 003; Wen Yao (IEEE Trans. Geosci. Remote. Sens., 2024)

HyperDID: Hyperspectral Intrinsic Image Decomposition With Deep Feature Embedding. - Zhiqiang Gong; Xian Zhou 003; Wen Yao; Xiaohu Zheng; Ping Zhong 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Empowering Physical Attacks With Jacobian Matrix Regularization Against ViT-Based Detectors in UAV Remote Sensing Images. - Yu Zhang 221; Zhiqiang Gong; Wenlin Liu; Hao Wen; Pengcheng Wan; Jiahao Qi; Xikun Hu; Ping Zhong 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Contrastive enhancement using latent prototype for few-shot segmentation. - Xiaoyu Zhao; Xiaoqian Chen; Zhiqiang Gong; Wen Yao; Yunyang Zhang; Xiaohu Zheng (Digit. Signal Process., 2024)

A generic quality and accuracy driven uncertainty quantification framework for reliability analysis. - Yingchun Xu; Wen Yao; Xiaohu Zheng; Zhiqiang Gong; Lei Yan; Na Xu (Reliab. Eng. Syst. Saf., 2025)

Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders. - Jiahao Qi; Zhiqiang Gong; Xingyue Liu; Chen Chen; Ping Zhong 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)