Puhua Chen

According to our database, Puhua Chen authored at least 49 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Self-Supervised Self-Organizing Clustering Network: A Novel Unsupervised Representation Learning Method.

Shuo Li, Fang Liu, Licheng Jiao, Puhua Chen, Lingling Li

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Feature Distribution Representation Learning Based on Knowledge Transfer for Long-Tailed Classification.

Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Puhua Chen

IEEE Trans. Multim., 2024

Relation Learning Reasoning Meets Tiny Object Tracking in Satellite Videos.

Xiaoyan Yang, Licheng Jiao, Yangyang Li, Xu Liu, Fang Liu, Lingling Li, Puhua Chen, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2024

LGLFormer: Local-Global Lifting Transformer for Remote Sensing Scene Parsing.

Yuting Yang, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Puhua Chen, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2024

$C^{2}N^{2}$: Complex-Valued Contourlet Neural Network.

Mengkun Liu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang, Yuwei Guo, Puhua Chen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Cross-Scene Classification of Remote Sensing Images Based on General-Specific Prototype Contrastive Learning.

Puhua Chen, Yu Qiu, Lei Guo, Xiangrong Zhang, Fang Liu, Licheng Jiao, Lingling Li

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification.

Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Puhua Chen

CoRR, 2024

ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-Guided Optimization.

Hao Wang, Fang Liu, Licheng Jiao, Jiahao Wang, Zehua Hao, Shuo Li, Lingling Li, Puhua Chen, Xu Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Knowledge transfer evolutionary search for lightweight neural architecture with dynamic inference.

Xiaoxue Qian, Fang Liu, Licheng Jiao, Xiangrong Zhang, Xinyan Huang, Shuo Li, Puhua Chen, Xu Liu

Pattern Recognit., November, 2023

Deep Learning in Visual Tracking: A Review.

Licheng Jiao, Dan Wang, Yidong Bai, Puhua Chen, Fang Liu

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Faster and Better: A Lightweight Transformer Network for Remote Sensing Scene Classification.

Xinyan Huang, Fang Liu, Yuanhao Cui, Puhua Chen, Lingling Li, Pengfang Li

Remote. Sens., July, 2023

Dual Wavelet Attention Networks for Image Classification.

Yuting Yang, Licheng Jiao, Xu Liu, Fang Liu, Shuyuan Yang, Lingling Li, Puhua Chen, Xiufang Li, Zhongjian Huang

IEEE Trans. Circuits Syst. Video Technol., April, 2023

Transformer Based Conditional GAN for Multimodal Image Fusion.

Jun Zhang, Licheng Jiao, Wenping Ma, Fang Liu, Xu Liu, Lingling Li, Puhua Chen, Shuyuan Yang

IEEE Trans. Multim., 2023

$D^{3}K$: Dynastic Data-Free Knowledge Distillation.

Xiufang Li, Qigong Sun, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Puhua Chen, Yi Zuo

IEEE Trans. Multim., 2023

Semantics and Contour Based Interactive Learning Network for Building Footprint Extraction.

Xiaoqian Zhu, Xiangrong Zhang, Tianyang Zhang, Xu Tang, Puhua Chen, Huiyu Zhou, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2023

Spectral-Spatial Distribution Consistent Network Based on Meta-Learning for Cross-Domain Hyperspectral Image Classification.

Xiangrong Zhang, Qi Zhen, Zhenyu Li, Xiao Han, Puhua Chen, Xu Tang, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2023

A Spatial Hierarchical Reasoning Network for Remote Sensing Visual Question Answering.

Zixiao Zhang, Licheng Jiao, Lingling Li, Xu Liu, Puhua Chen, Fang Liu, Yuxuan Li, Zhicheng Guo

IEEE Trans. Geosci. Remote. Sens., 2023

MFGNet: Multibranch Feature Generation Networks for Few-Shot Remote Sensing Scene Classification.

Xiangrong Zhang, Xiyu Fan, Guanchun Wang, Puhua Chen, Xu Tang, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2023

An Explainable Spatial-Frequency Multiscale Transformer for Remote Sensing Scene Classification.

Yuting Yang, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Puhua Chen, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2023

High-Quality Angle Prediction for Oriented Object Detection in Remote Sensing Images.

Guanchun Wang, Xiangrong Zhang, Peng Zhu, Xu Tang, Puhua Chen, Licheng Jiao, Huiyu Zhou

IEEE Trans. Geosci. Remote. Sens., 2023

SDCDNet: A Semi-Dual Change Detection Network Framework With Super-Weak Label for Remote Sensing Image.

Jiahao Wang, Fang Liu, Hao Wang, Xu Liu, Licheng Jiao, Hua Yang, Lingling Li, Puhua Chen

IEEE Trans. Geosci. Remote. Sens., 2023

Which Target to Focus on: Class-Perception for Semantic Segmentation of Remote Sensing.

Long Sun, Lingling Li, Yilin Shao, Licheng Jiao, Xu Liu, Puhua Chen, Fang Liu, Shuyuan Yang, Biao Hou

IEEE Trans. Geosci. Remote. Sens., 2023

Weak-to-Strong Consistency Learning for Semisupervised Image Segmentation.

Xiaoqiang Lu, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu, Shuyuan Yang, Zhixi Feng, Puhua Chen

IEEE Trans. Geosci. Remote. Sens., 2023

Learning Salient Feature for Salient Object Detection Without Labels.

Shuo Li, Fang Liu, Licheng Jiao, Xu Liu, Puhua Chen

IEEE Trans. Cybern., 2023

SSCFNet: A Spatial-Spectral Cross Fusion Network for Remote Sensing Change Detection.

Jiahao Wang, Fang Liu, Licheng Jiao, Hao Wang, Hua Yang, Xu Liu, Lingling Li, Puhua Chen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Transformer Meets Remote Sensing Video Detection and Tracking: A Comprehensive Survey.

Licheng Jiao, Xin Zhang, Xu Liu, Fang Liu, Shuyuan Yang, Wenping Ma, Lingling Li, Puhua Chen, Zhixi Feng, Yuwei Guo, Xu Tang, Biao Hou, Xiangrong Zhang, Jing Bai, Dou Quan, Junpeng Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Brain-Inspired Remote Sensing Interpretation: A Comprehensive Survey.

Licheng Jiao, Zhongjian Huang, Xu Liu, Yuting Yang, Mengru Ma, Jiaxuan Zhao, Chao You, Biao Hou, Shuyuan Yang, Fang Liu, Wenping Ma, Lingling Li, Puhua Chen, Zhixi Feng, Xu Tang, Yuwei Guo, Xiangrong Zhang, Dou Quan, Shuang Wang, Weibin Li, Jing Bai, Yangyang Li, Ronghua Shang, Jie Feng

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Brain-Inspired Remote Sensing Foundation Models and Open Problems: A Comprehensive Survey.

Licheng Jiao, Zhongjian Huang, Xiaoqiang Lu, Xu Liu, Yuting Yang, Jiaxuan Zhao, Jinyue Zhang, Biao Hou, Shuyuan Yang, Fang Liu, Wenping Ma, Lingling Li, Xiangrong Zhang, Puhua Chen, Zhixi Feng, Xu Tang, Yuwei Guo, Dou Quan, Shuang Wang, Weibin Li, Jing Bai, Yangyang Li, Ronghua Shang, Jie Feng

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Task context transformer and GCN for few-shot learning of cross-domain.

Pengfang Li, Fang Liu, Licheng Jiao, Lingling Li, Puhua Chen, Shuo Li

Neurocomputing, 2023

Data-Centric Long-Tailed Image Recognition.

Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Puhua Chen

CoRR, 2023

Global-Local Representation Coupling Network for Remote Sensing Image Change Detection.

Fanghan Yang, Xiangrong Zhang, Peng Zhu, Zhenhang Weng, Puhua Chen

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

CTACL:Hyperspectral Image Change Detection Based on Adaptive Contrastive Learning.

Shunli Tian, Xiangrong Zhang, Guanchun Wang, Xiao Han, Puhua Chen, Xina Cheng

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

MFNet: A Novel GNN-Based Multi-Level Feature Network With Superpixel Priors.

Shuo Li, Fang Liu, Licheng Jiao, Puhua Chen, Xu Liu, Lingling Li

IEEE Trans. Image Process., 2022

Foreground Refinement Network for Rotated Object Detection in Remote Sensing Images.

Tianyang Zhang, Xiangrong Zhang, Peng Zhu, Puhua Chen, Xu Tang, Chen Li, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2022

Remote Sensing Image Super-Resolution via Dual-Resolution Network Based on Connected Attention Mechanism.

Xiangrong Zhang, Zhenyu Li, Tianyang Zhang, Fengsheng Liu, Xu Tang, Puhua Chen, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2022

A Hybrid Network With Structural Constraints for SAR Image Scene Classification.

Xiaoxue Qian, Fang Liu, Licheng Jiao, Xiangrong Zhang, Puhua Chen, Lingling Li, Jing Gu, Yuanhao Cui

IEEE Trans. Geosci. Remote. Sens., 2022

Simple and Efficient: A Semisupervised Learning Framework for Remote Sensing Image Semantic Segmentation.

Xiaoqiang Lu, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Zhixi Feng, Lingling Li, Puhua Chen

IEEE Trans. Geosci. Remote. Sens., 2022

GSoP Based Siamese Feature Fusion Network for Remote Sensing Image Change Detection.

Puhua Chen, Lu Wang

Proceedings of the Intelligence Science IV, 2022

2021

Attention-Guided Siamese Fusion Network for Change Detection of Remote Sensing Images.

Puhua Chen, Lei Guo, Xiangrong Zhang, Alex Kai Qin, Wentao Ma, Licheng Jiao

Remote. Sens., 2021

2020

Sketch-Based Region Adaptive Sparse Unmixing Applied to Hyperspectral Image.

Jingyan Zhang, Xiangrong Zhang, Xu Tang, Puhua Chen, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2020

Multi-Feature Weighted Sparse Graph for SAR Image Analysis.

Jing Gu, Licheng Jiao, Fang Liu, Xiangrong Zhang, Xu Tang, Puhua Chen

IEEE Trans. Geosci. Remote. Sens., 2020

2019

Adaptive sparse graph learning based dimensionality reduction for classification.

Puhua Chen, Licheng Jiao, Fang Liu, Zhiqiang Zhao, Jiaqi Zhao

Appl. Soft Comput., 2019

Multi-Scale Image Block-Level F-CNN for Remote Sensing Images Object Detection.

Wei Zhao, Wenping Ma, Licheng Jiao, Puhua Chen, Shuyuan Yang, Biao Hou

IEEE Access, 2019

2018

Random subspace based ensemble sparse representation.

Jing Gu, Licheng Jiao, Fang Liu, Shuyuan Yang, Rongfang Wang, Puhua Chen, Yuanhao Cui, Junhu Xie, Yake Zhang

Pattern Recognit., 2018

2017

Dimensionality Reduction of Hyperspectral Imagery Using Sparse Graph Learning.

Puhua Chen, Licheng Jiao, Fang Liu, Shuiping Gou, Jiaqi Zhao, Zhiqiang Zhao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Semi-supervised double sparse graphs based discriminant analysis for dimensionality reduction.

Puhua Chen, Licheng Jiao, Fang Liu, Jiaqi Zhao, Zhiqiang Zhao, Shuai Liu

Pattern Recognit., 2017

Fast Classification for Large Polarimetric SAR Data Based on Refined Spatial-Anchor Graph.

Hongying Liu, Shuyuan Yang, Shuiping Gou, Puhua Chen, Yikai Wang, Licheng Jiao

IEEE Geosci. Remote. Sens. Lett., 2017

2016

Semisupervised Discriminant Feature Learning for SAR Image Category via Sparse Ensemble.

Zhiqiang Zhao, Licheng Jiao, Fang Liu, Jiaqi Zhao, Puhua Chen

IEEE Trans. Geosci. Remote. Sens., 2016

Locality-constraint discriminant feature learning for high-resolution SAR image classification.

Zhiqiang Zhao, Licheng Jiao, Biao Hou, Shuang Wang, Jiaqi Zhao, Puhua Chen

Neurocomputing, 2016