Ping Zhong

112 papers A* 3B 2C 6Journal 88Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adversarial spectral perturbation for single-domain generalized object detection.
Pattern Recognit.
Xiangsheng Wang, Kangcheng Bin, Xiaojian Wang, Pengcheng Wan, Ting Hu, Ping Zhong
2026 J jnl
Separate to generalization: Two-branch feature separation framework for generalized underwater image restoration.
Pattern Recognit.
Jiahao Qi, Xingyue Liu, Chen Chen, Kangcheng Bin, Ping Zhong
2025 J jnl
ATR-UMMIM: A Benchmark Dataset for UAV-Based Multimodal Image Registration under Complex Imaging Conditions.
CoRR
Kangcheng Bin, Chen Chen, Ting Hu, Jiahao Qi, Ping Zhong
2025 J jnl
Active Object Detection for UAV Remote Sensing via Behavior Cloning and Enhanced Q-Network With Shallow Features.
IEEE Trans. Geosci. Remote. Sens.
Zhuocheng Zou, Xikun Hu, Ping Zhong
2025 J jnl
Discriminative Latent-Space Learning for Fine-Grained Object Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Yu Liu, Xikun Hu, Wenlin Liu, Xiangsheng Wang, Chen Chen, Pengcheng Wan, Ya Jiang, Ping Zhong
2025 A* conf
Dive into Aerial Remote Sensing Underwater Depth Estimation with Hyperspectral Imagery.
AAAI
Jiahao Qi, Xingyue Liu, Chen Chen, Dehui Zhu, Kangcheng Bin, Ping Zhong
2025 J jnl
Empowering Hybrid-Level Contrastive Learning for Hyperspectral Underwater Target Detection in Nearshore Environment.
IEEE Trans. Geosci. Remote. Sens.
Jiahao Qi, Xingyue Liu, Ping Zhong
2025 J jnl
Fusion Meets Diverse Conditions: A High-diversity Benchmark and Baseline for UAV-based Multimodal Object Detection with Condition Cues.
CoRR
Chen Chen, Kangcheng Bin, Ting Hu, Jiahao Qi, Xingyue Liu, Tianpeng Liu, Zhen Liu, Yongxiang Liu, Ping Zhong
2025 J jnl
Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network.
IEEE Trans. Multim.
Weiquan Liu, Minghao Liu, Shijun Zheng, Siqi Shen, Xuesheng Bian, Yu Zang, Ping Zhong, Cheng Wang
2025 J jnl
MSP-O: A Two-Stage Mask Pretraining Method With Object Focus for Remote Sensing Object Detection.
IEEE Trans. Geosci. Remote. Sens.
Wenlin Liu, Xikun Hu, Yu Liu, Ping Zhong
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
Nearshore Underwater Target Detection Meets UAV-borne Hyperspectral Remote Sensing: A Novel Hybrid-level Contrastive Learning Framework and Benchmark Dataset.
CoRR
Jiahao Qi, Chuanhong Zhou, Xingyue Liu, Chen Chen, Dehui Zhu, Kangcheng Bin, Ping Zhong
2025 J jnl
On Adversarial Robust Generalization of DNNs for Remote Sensing Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Wei Xue, Yonghao Wang, Shaoquan Zhang, Xiao Zheng, Ping Zhong
2025 J jnl
Partial Attention Feature Aggregation Network for Lightweight Remote Sensing Image Super-Resolution.
IEEE Geosci. Remote. Sens. Lett.
Wei Xue, Tiancheng Shao, Mingyang Du, Xiao Zheng, Ping Zhong
2025 J jnl
Physics-Informed Curriculum Learning Framework for Hyperspectral Underwater Target Characterization.
IEEE Trans. Geosci. Remote. Sens.
Jiahao Qi, Xingyue Liu, Chen Chen, Dehui Zhu, Kangcheng Bin, Ping Zhong
2025 — conf
Spectral-Feature-Guided Controllable Diffusion for SAR-to-Optical Satellite Imagery Generation in Wildfire Mapping.
PRCV (15)
Yushan Zou, Xikun Hu, Ping Zhong
2025 J jnl
Subtle Spectral Difference Discriminative Deep Metric Learning With Spectral Center Construction for Hyperspectral Target Detection.
IEEE Trans. Geosci. Remote. Sens.
Dehui Zhu, Yuetian Lu, Ping Zhong, Bo Du, Liangpei Zhang
2025 J jnl
UAV-StrawFire: A visible and infrared dataset for real-time straw-fire monitoring with deep learning and image fusion.
Int. J. Appl. Earth Obs. Geoinformation
Xikun Hu, Ya Jiang, Xiaoyan Xia, Chen Chen, Wenlin Liu, Pengcheng Wan, Kangcheng Bin, Ping Zhong
2025 A* conf
UCM-VeID V2: A Richer Dataset and A Pre-training Method for UAV Cross-Modality Vehicle Re-Identification.
CVPR
Xingyue Liu, Jiahao Qi, Chen Chen, Kangcheng Bin, Ping Zhong
2024 J jnl
AF-Net: An Active Fire Detection Model Using Improved Object-Contextual Representations on Unbalanced UAV Datasets.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xikun Hu, Wenlin Liu, Hao Wen, Ka-Veng Yuen, Tian Jin, Alberto Costa Nogueira Junior, Ping Zhong
2024 J jnl
Attention-based Sparse and Collaborative Spectral Abundance Learning for Hyperspectral Subpixel Target Detection.
Neural Networks
Dehui Zhu, Ping Zhong, Bo Du, Liangpei Zhang
2024 J jnl
DSRNet: Diagonal Subsampling Reconstruction Network for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens.
Hao Wen, Xikun Hu, Ping Zhong
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
Detecting Nearshore Underwater Targets With Hyperspectral Nonlinear Unmixing Autoencoder.
IEEE Trans. Geosci. Remote. Sens.
Jiaxuan Liu, Jiahao Qi, Dehui Zhu, Hao Wen, Hejun Jiang, Ping Zhong
2024 J jnl
Detecting rice straw burning based on infrared and visible information fusion with UAV remote sensing.
Comput. Electron. Agric.
Hao Wen, Xikun Hu, Ping Zhong
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
Near Real-Time Burned Area Progression Mapping With Multispectral Data Using Ensemble Learning.
IEEE Geosci. Remote. Sens. Lett.
Xikun Hu, Hao Wen, Puzhao Zhang, Ka-Veng Yuen, Ping Zhong
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
Relation-Aware Weight Sharing in Decoupling Feature Learning Network for UAV RGB-Infrared Vehicle Re-Identification.
IEEE Trans. Multim.
Xingyue Liu, Jiahao Qi, Chen Chen, Kangcheng Bin, Ping Zhong
2024 J jnl
SR-Adv: Salient Region Adversarial Attacks on 3D Point Clouds for Autonomous Driving.
IEEE Trans. Intell. Transp. Syst.
Shijun Zheng, Weiquan Liu, Yu Guo, Yu Zang, Siqi Shen, Chenglu Wen, Ming Cheng, Ping Zhong, Cheng Wang
2024 A* conf
Weakly Misalignment-Free Adaptive Feature Alignment for UAVs-Based Multimodal Object Detection.
CVPR
Chen Chen, Jiahao Qi, Xingyue Liu, Kangcheng Bin, Ruigang Fu, Xikun Hu, Ping Zhong
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 J jnl
Beyond Sharing Weights in Decoupling Feature Learning Network for UAV RGB-Infrared Vehicle Re-Identification.
CoRR
Xingyue Liu, Jiahao Qi, Chen Chen, Kangcheng Bin, Ping Zhong
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
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
Robust Bayesian attention belief network for radar work mode recognition.
Digit. Signal Process.
Mingyang Du, Ping Zhong, Xiaohao Cai, Daping Bi, Aiqi Jing
2023 J jnl
Self-Aligned Spatial Feature Extraction Network for UAV Vehicle Reidentification.
IEEE Geosci. Remote. Sens. Lett.
Aihuan Yao, Jiahao Qi, Ping Zhong
2023 J jnl
Triplet Spectralwise Transformer Network for Hyperspectral Target Detection.
IEEE Trans. Geosci. Remote. Sens.
Jinyue Jiao, Zhiqiang Gong, Ping Zhong
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
Adversarial Patch Attack on Multi-Scale Object Detection for UAV Remote Sensing Images.
Remote. Sens.
Yichuang Zhang, Yu Zhang, Jiahao Qi, Kangcheng Bin, Hao Wen, Xunqian Tong, Ping Zhong
2022 J jnl
Attention Mask-Based Network With Simple Color Annotation for UAV Vehicle Re-Identification.
IEEE Geosci. Remote. Sens. Lett.
Aihuan Yao, Mengmeng Huang, Jiahao Qi, Ping Zhong
2022 — conf
Balanced neural architecture search and optimization for specific emitter identification.
RFID-TA
Mingyang Du, Ping Zhong, Xiaohao Cai, Daping Bi, Zhifei Li
2022 J jnl
DNCNet: Deep Radar Signal Denoising and Recognition.
IEEE Trans. Aerosp. Electron. Syst.
Mingyang Du, Ping Zhong, Xiaohao Cai, Daping Bi
2022 J jnl
Deep Manifold Embedding for Hyperspectral Image Classification.
IEEE Trans. Cybern.
Zhiqiang Gong, Weidong Hu, Xiaoyong Du, Ping Zhong, Panhe Hu
2022 — conf
Delve Into Hyperspectral Anomaly Detection Via Bayesian Gaussian Tensor Decomposition.
WHISPERS
Jiahao Qi, Xingyue Liu, Ping Zhong
2022 J jnl
Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Sheng Wan, Shirui Pan, Ping Zhong, Xiaojun Chang, Jian Yang, Chen Gong
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
Self-aligned Spatial Feature Extraction Network for UAV Vehicle Re-identification.
CoRR
Aihuan Yao, Jiahao Qi, Ping Zhong
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 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
Few-Shot Object Detection With Self-Adaptive Attention Network for Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Zixuan Xiao, Jiahao Qi, Wei Xue, Ping Zhong
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
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network.
IEEE Trans. Geosci. Remote. Sens.
Sheng Wan, Chen Gong, Ping Zhong, Shirui Pan, Guangyu Li, Jian Yang
2021 J jnl
Low-Rank Approximation and Multiple Sparse Constraint Modeling for Infrared Low-Flying Fixed-Wing UAV Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Wei Xue, Jiahao Qi, Guoqing Shao, Zixuan Xiao, Yu Zhang, Ping Zhong
2021 J jnl
Sample-based online learning for bi-regular hinge loss.
Int. J. Mach. Learn. Cybern.
Wei Xue, Ping Zhong, Wensheng Zhang, Gaohang Yu, Yebin Chen
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 C conf
Unmixing-Based Underwater Target Detection for Hyperspectral Imagery.
IGARSS
Jiahao Qi, Wei Xue, Aihuan Yao, Ping Zhong
2020 J jnl
Few-shot Object Detection with Feature Attention Highlight Module in Remote Sensing Images.
CoRR
Zixuan Xiao, Ping Zhong, Yuan Quan, Xuping Yin, Wei Xue
2020 J jnl
Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images.
CoRR
Zixuan Xiao, Wei Xue, Ping Zhong
2020 J jnl
Multiple Instance Learning for Multiple Diverse Hyperspectral Target Characterizations.
IEEE Trans. Neural Networks Learn. Syst.
Ping Zhong, Zhiqiang Gong, Jiaxin Shan
2020 J jnl
Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Sheng Wan, Chen Gong, Ping Zhong, Bo Du, Lefei Zhang, Jian Yang
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
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network.
CoRR
Sheng Wan, Chen Gong, Ping Zhong, Shirui Pan, Guangyu Li, Jian Yang
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
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification.
CoRR
Sheng Wan, Chen Gong, Ping Zhong, Bo Du, Lefei Zhang, Jian Yang
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 J jnl
Integrating global and local visual features with semantic hierarchies for two-level image annotation.
Neurocomputing
Zhiming Qian, Ping Zhong, Jia Chen
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
2015 J jnl
Active Learning With Gaussian Process Classifier for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Shujin Sun, Ping Zhong, Huaitie Xiao, Runsheng Wang
2015 J jnl
An MRF Model-Based Active Learning Framework for the Spectral-Spatial Classification of Hyperspectral Imagery.
IEEE J. Sel. Top. Signal Process.
Shujin Sun, Ping Zhong, Huaitie Xiao, Runsheng Wang
2015 — conf
An active learning method based on Markov random fields for hyperspectral images classification.
WHISPERS
Shujin Sun, Ping Zhong, Huaitie Xiao, Fang Liu, Runsheng Wang
2015 — conf
An active learning method based on SVM classifier for hyperspectral images classification.
WHISPERS
Shujin Sun, Ping Zhong, Huaitie Xiao, Fang Liu, Runsheng Wang
2015 J jnl
Class-specific Gaussian-multinomial latent Dirichlet allocation for image annotation.
EURASIP J. Adv. Signal Process.
Zhiming Qian, Ping Zhong, Runsheng Wang
2015 J jnl
Learning to Diversify Patch-Based Priors for Remote Sensing Image Restoration.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Ping Zhong, Peng Ni, Runsheng Wang
2015 J jnl
Personalized image annotation via class-specific cross-domain learning.
Signal Process. Image Commun.
Zhiming Qian, Ping Zhong, Runsheng Wang
2015 J jnl
Tag Refinement for User-Contributed Images via Graph Learning and Nonnegative Tensor Factorization.
IEEE Signal Process. Lett.
Zhiming Qian, Ping Zhong, Runsheng Wang
2014 — conf
Hierarchical Unsupervised Object Segmentation with Manifold Regularization.
ICIMCS
Zhiming Qian, Ping Zhong, Runsheng Wang
2014 J jnl
Jointly Learning the Hybrid CRF and MLR Model for Simultaneous Denoising and Classification of Hyperspectral Imagery.
IEEE Trans. Neural Networks Learn. Syst.
Ping Zhong, Runsheng Wang
2014 — conf
Tensor Representation for Image Annotation with Collective Groups.
ICIMCS
Zhiming Qian, Ping Zhong, Runsheng Wang
2013 J jnl
Multiple-Spectral-Band CRFs for Denoising Junk Bands of Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens.
Ping Zhong, Runsheng Wang
2012 — conf
Dynamic Learning of SCRF for Feature Selection and Classification of Hyperspectral Imagery.
SSPR/SPR
Ping Zhong, Zhiming Qian, Runsheng Wang
2011 J jnl
Modeling and Classifying Hyperspectral Imagery by CRFs With Sparse Higher Order Potentials.
IEEE Trans. Geosci. Remote. Sens.
Ping Zhong, Runsheng Wang
2010 J jnl
Learning Conditional Random Fields for Classification of Hyperspectral Images.
IEEE Trans. Image Process.
Ping Zhong, Runsheng Wang
2008 J jnl
Dynamic Learning of SMLR for Feature Selection and Classification of Hyperspectral Data.
IEEE Geosci. Remote. Sens. Lett.
Ping Zhong, Peng Zhang, Runsheng Wang
2008 J jnl
Learning Sparse CRFs for Feature Selection and Classification of Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens.
Ping Zhong, Runsheng Wang
2007 J jnl
A Multiple Conditional Random Fields Ensemble Model for Urban Area Detection in Remote Sensing Optical Images.
IEEE Trans. Geosci. Remote. Sens.
Ping Zhong, Runsheng Wang
2007 C conf
A New MRF Framework with Dual Adaptive Contexts for Image Segmentation.
CIS
Ping Zhong, Fang Liu, Runsheng Wang
2007 J jnl
Using Combination of Statistical Models and Multilevel Structural Information for Detecting Urban Areas From a Single Gray-Level Image.
IEEE Trans. Geosci. Remote. Sens.
Ping Zhong, Runsheng Wang
2006 — conf
Object Detection Based on Combination of Conditional Random Field and Markov Random Field.
ICPR (3)
Ping Zhong, Runsheng Wang