Object Detection Based on Combination of Conditional Random Field and Markov Random Field. - Ping Zhong 001; Runsheng Wang (ICPR (3), 2006)

A New MRF Framework with Dual Adaptive Contexts for Image Segmentation. - Ping Zhong 001; Fang Liu; Runsheng Wang (CIS, 2007)

Using Combination of Statistical Models and Multilevel Structural Information for Detecting Urban Areas From a Single Gray-Level Image. - Ping Zhong 001; Runsheng Wang (IEEE Trans. Geosci. Remote. Sens., 2007)

A Multiple Conditional Random Fields Ensemble Model for Urban Area Detection in Remote Sensing Optical Images. - Ping Zhong 001; Runsheng Wang (IEEE Trans. Geosci. Remote. Sens., 2007)

Dynamic Learning of SMLR for Feature Selection and Classification of Hyperspectral Data. - Ping Zhong 001; Peng Zhang 079; Runsheng Wang (IEEE Geosci. Remote. Sens. Lett., 2008)

Learning Sparse CRFs for Feature Selection and Classification of Hyperspectral Imagery. - Ping Zhong 001; Runsheng Wang (IEEE Trans. Geosci. Remote. Sens., 2008)

Learning Conditional Random Fields for Classification of Hyperspectral Images. - Ping Zhong 001; Runsheng Wang (IEEE Trans. Image Process., 2010)

Modeling and Classifying Hyperspectral Imagery by CRFs With Sparse Higher Order Potentials. - Ping Zhong 001; Runsheng Wang (IEEE Trans. Geosci. Remote. Sens., 2011)

Dynamic Learning of SCRF for Feature Selection and Classification of Hyperspectral Imagery. - Ping Zhong 001; Zhiming Qian; Runsheng Wang (SSPR/SPR, 2012)

Multiple-Spectral-Band CRFs for Denoising Junk Bands of Hyperspectral Imagery. - Ping Zhong 001; Runsheng Wang (IEEE Trans. Geosci. Remote. Sens., 2013)

Hierarchical Unsupervised Object Segmentation with Manifold Regularization. - Zhiming Qian; Ping Zhong 001; Runsheng Wang (ICIMCS, 2014)

Tensor Representation for Image Annotation with Collective Groups. - Zhiming Qian; Ping Zhong 001; Runsheng Wang (ICIMCS, 2014)

Jointly Learning the Hybrid CRF and MLR Model for Simultaneous Denoising and Classification of Hyperspectral Imagery. - Ping Zhong 001; Runsheng Wang (IEEE Trans. Neural Networks Learn. Syst., 2014)

An active learning method based on Markov random fields for hyperspectral images classification. - Shujin Sun; Ping Zhong 001; Huaitie Xiao; Fang Liu; Runsheng Wang (WHISPERS, 2015)

An active learning method based on SVM classifier for hyperspectral images classification. - Shujin Sun; Ping Zhong 001; Huaitie Xiao; Fang Liu; Runsheng Wang (WHISPERS, 2015)

Class-specific Gaussian-multinomial latent Dirichlet allocation for image annotation. - Zhiming Qian; Ping Zhong 001; Runsheng Wang (EURASIP J. Adv. Signal Process., 2015)

An MRF Model-Based Active Learning Framework for the Spectral-Spatial Classification of Hyperspectral Imagery. - Shujin Sun; Ping Zhong 001; Huaitie Xiao; Runsheng Wang (IEEE J. Sel. Top. Signal Process., 2015)

Personalized image annotation via class-specific cross-domain learning. - Zhiming Qian; Ping Zhong 001; Runsheng Wang (Signal Process. Image Commun., 2015)

Tag Refinement for User-Contributed Images via Graph Learning and Nonnegative Tensor Factorization. - Zhiming Qian; Ping Zhong 001; Runsheng Wang (IEEE Signal Process. Lett., 2015)

Learning to Diversify Patch-Based Priors for Remote Sensing Image Restoration. - Ping Zhong 001; Peng Ni; Runsheng Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Active Learning With Gaussian Process Classifier for Hyperspectral Image Classification. - Shujin Sun; Ping Zhong 001; Huaitie Xiao; Runsheng Wang (IEEE Trans. Geosci. Remote. Sens., 2015)

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)

Integrating global and local visual features with semantic hierarchies for two-level image annotation. - Zhiming Qian; Ping Zhong 001; Jia Chen (Neurocomputing, 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)

Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification. - Sheng Wan; Chen Gong 002; Ping Zhong 001; Bo Du 001; Lefei Zhang; Jian Yang 003 (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)

Few-shot Object Detection with Feature Attention Highlight Module in Remote Sensing Images. - Zixuan Xiao; Ping Zhong 001; Yuan Quan; Xuping Yin; Wei Xue (CoRR, 2020)

Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images. - Zixuan Xiao; Wei Xue; Ping Zhong 001 (CoRR, 2020)

Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification. - Sheng Wan; Chen Gong 002; Ping Zhong 001; Bo Du 001; Lefei Zhang; Jian Yang 003 (IEEE Trans. Geosci. Remote. Sens., 2020)

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

Unmixing-Based Underwater Target Detection for Hyperspectral Imagery. - Jiahao Qi; Wei Xue; Aihuan Yao; Ping Zhong 001 (IGARSS, 2021)

Sample-based online learning for bi-regular hinge loss. - Wei Xue; Ping Zhong 001; Wensheng Zhang; Gaohang Yu; Yebin Chen (Int. J. Mach. Learn. Cybern., 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)

Few-Shot Object Detection With Self-Adaptive Attention Network for Remote Sensing Images. - Zixuan Xiao; Jiahao Qi; Wei Xue; Ping Zhong 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Low-Rank Approximation and Multiple Sparse Constraint Modeling for Infrared Low-Flying Fixed-Wing UAV Detection. - Wei Xue; Jiahao Qi; Guoqing Shao; Zixuan Xiao; Yu Zhang 221; Ping Zhong 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network. - Sheng Wan; Chen Gong 002; Ping Zhong 001; Shirui Pan; Guangyu Li; Jian Yang 003 (IEEE Trans. Geosci. 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)

Balanced neural architecture search and optimization for specific emitter identification. - Mingyang Du; Ping Zhong 001; Xiaohao Cai; Daping Bi; Zhifei Li 003 (RFID-TA, 2022)

Delve Into Hyperspectral Anomaly Detection Via Bayesian Gaussian Tensor Decomposition. - Jiahao Qi; Xingyue Liu; Ping Zhong 001 (WHISPERS, 2022)

Self-aligned Spatial Feature Extraction Network for UAV Vehicle Re-identification. - Aihuan Yao; Jiahao Qi; Ping Zhong 001 (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)

Attention Mask-Based Network With Simple Color Annotation for UAV Vehicle Re-Identification. - Aihuan Yao; Mengmeng Huang; Jiahao Qi; Ping Zhong 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Adversarial Patch Attack on Multi-Scale Object Detection for UAV Remote Sensing Images. - Yichuang Zhang; Yu Zhang 221; Jiahao Qi; Kangcheng Bin; Hao Wen; Xunqian Tong; Ping Zhong 001 (Remote. Sens., 2022)

DNCNet: Deep Radar Signal Denoising and Recognition. - Mingyang Du; Ping Zhong 001; Xiaohao Cai; Daping Bi (IEEE Trans. Aerosp. Electron. Syst., 2022)

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

Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification. - Sheng Wan; Shirui Pan; Ping Zhong 001; Xiaojun Chang; Jian Yang 003; Chen Gong 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

Beyond Sharing Weights in Decoupling Feature Learning Network for UAV RGB-Infrared Vehicle Re-Identification. - Xingyue Liu; Jiahao Qi; Chen Chen; Kangcheng Bin; Ping Zhong 001 (CoRR, 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)

Self-Aligned Spatial Feature Extraction Network for UAV Vehicle Reidentification. - Aihuan Yao; Jiahao Qi; Ping Zhong 001 (IEEE Geosci. Remote. Sens. Lett., 2023)

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

Robust Bayesian attention belief network for radar work mode recognition. - Mingyang Du; Ping Zhong 001; Xiaohao Cai; Daping Bi; Aiqi Jing (Digit. Signal Process., 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)

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

Weakly Misalignment-Free Adaptive Feature Alignment for UAVs-Based Multimodal Object Detection. - Chen Chen; Jiahao Qi; Xingyue Liu; Kangcheng Bin; Ruigang Fu; Xikun Hu; Ping Zhong 001 (CVPR, 2024)

Detecting rice straw burning based on infrared and visible information fusion with UAV remote sensing. - Hao Wen; Xikun Hu; Ping Zhong 001 (Comput. Electron. Agric., 2024)

Near Real-Time Burned Area Progression Mapping With Multispectral Data Using Ensemble Learning. - Xikun Hu; Hao Wen; Puzhao Zhang; Ka-Veng Yuen; Ping Zhong 001 (IEEE Geosci. Remote. Sens. Lett., 2024)

Attention-based Sparse and Collaborative Spectral Abundance Learning for Hyperspectral Subpixel Target Detection. - Dehui Zhu; Ping Zhong 001; Bo Du 001; Liangpei Zhang 001 (Neural Networks, 2024)

AF-Net: An Active Fire Detection Model Using Improved Object-Contextual Representations on Unbalanced UAV Datasets. - Xikun Hu; Wenlin Liu; Hao Wen; Ka-Veng Yuen; Tian Jin; Alberto Costa Nogueira Junior; Ping Zhong 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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)

Detecting Nearshore Underwater Targets With Hyperspectral Nonlinear Unmixing Autoencoder. - Jiaxuan Liu; Jiahao Qi; Dehui Zhu; Hao Wen; Hejun Jiang; Ping Zhong 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

DSRNet: Diagonal Subsampling Reconstruction Network for Hyperspectral Anomaly Detection. - Hao Wen; Xikun Hu; 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)

Relation-Aware Weight Sharing in Decoupling Feature Learning Network for UAV RGB-Infrared Vehicle Re-Identification. - Xingyue Liu; Jiahao Qi; Chen Chen; Kangcheng Bin; Ping Zhong 001 (IEEE Trans. Multim., 2024)

SR-Adv: Salient Region Adversarial Attacks on 3D Point Clouds for Autonomous Driving. - Shijun Zheng; Weiquan Liu; Yu Guo; Yu Zang; Siqi Shen; Chenglu Wen; Ming Cheng 002; Ping Zhong 001; Cheng Wang 003 (IEEE Trans. Intell. Transp. Syst., 2024)

Active Object Detection for UAV Remote Sensing via Behavior Cloning and Enhanced Q-Network with Shallow Features. - Zhuocheng Zou; Xikun Hu; Ping Zhong 001 (IEEE DataPort, 2024)

Dive into Aerial Remote Sensing Underwater Depth Estimation with Hyperspectral Imagery. - Jiahao Qi; Xingyue Liu; Chen Chen; Dehui Zhu; Kangcheng Bin; Ping Zhong 001 (AAAI, 2025)

UAV-StrawFire: A visible and infrared dataset for real-time straw-fire monitoring with deep learning and image fusion. - Xikun Hu; Ya Jiang; Xiaoyan Xia; Chen Chen; Wenlin Liu; Pengcheng Wan; Kangcheng Bin; Ping Zhong 001 (Int. J. Appl. Earth Obs. Geoinformation, 2025)

On Adversarial Robust Generalization of DNNs for Remote Sensing Image Classification. - Wei Xue; Yonghao Wang; Shaoquan Zhang; Xiao Zheng; Ping Zhong 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

MSP-O: A Two-Stage Mask Pretraining Method With Object Focus for Remote Sensing Object Detection. - Wenlin Liu; Xikun Hu; Yu Liu; Ping Zhong 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Active Object Detection for UAV Remote Sensing via Behavior Cloning and Enhanced Q-Network With Shallow Features. - Zhuocheng Zou; Xikun Hu; Ping Zhong 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network. - Weiquan Liu; Minghao Liu 007; Shijun Zheng; Siqi Shen; Xuesheng Bian; Yu Zang; Ping Zhong 001; Cheng Wang 003 (IEEE Trans. Multim., 2025)

Nearshore Underwater Target Detection Meets UAV-borne Hyperspectral Remote Sensing: A Novel Hybrid-level Contrastive Learning Framework and Benchmark Dataset. - Jiahao Qi; Chuanhong Zhou; Xingyue Liu; Chen Chen; Dehui Zhu; Kangcheng Bin; Ping Zhong 001 (CoRR, 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)

Separate to generalization: Two-branch feature separation framework for generalized underwater image restoration. - Jiahao Qi; Xingyue Liu; Chen Chen; Kangcheng Bin; Ping Zhong 001 (Pattern Recognit., 2026)