Jia Liu

According to our database, Jia Liu authored at least 80 papers between 2014 and 2024.

Collaborative distances:

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

2024

Object Knowledge Distillation for Joint Detection and Tracking in Satellite Videos.

Wenhua Zhang, Wenjing Deng, Zhen Cui, Jia Liu, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2024

Hyperspectral Reconstruction From RGB Images via Physically Guided Graph Deep Prior Learning.

Haifeng Xu, Jingxiang Yang, Tian Lin, Jia Liu, Fang Liu, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2024

Content-Guided and Class-Oriented Learning for VHR Image Semantic Segmentation.

Fang Liu, Keming Liu, Jia Liu, Jingxiang Yang, Xu Tang, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2024

Difference Guidance Learning With Feature Alignment for Change Detection.

Yangguang Liu, Fang Liu, Jia Liu, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2024

Candidate-Aware and Change-Guided Learning for Remote Sensing Change Detection.

Fang Liu, Yangguang Liu, Jia Liu, Xu Tang, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2024

Conjoint Cross-Attention Modeling and Joint Feature Calibrating for Remote Sensing Image Change Detection via a Triple-Double Network.

Fang Liu, Jiaqi An, Jia Liu, Jingxiang Yang, Xu Tang, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2024

Stair Fusion Network With Context-Refined Attention for Remote Sensing Image Semantic Segmentation.

Jia Liu, Wenyi Hua, Wenhua Zhang, Fang Liu, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2024

Detail Enhanced Change Detection in VHR Images Using a Self-Supervised Multiscale Hybrid Network.

Dalong Zheng, Zebin Wu, Jia Liu, Chih-Cheng Hung, Zhihui Wei

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

Explicit Change-Relation Learning for Change Detection in VHR Remote Sensing Images.

Dalong Zheng, Zebin Wu, Jia Liu, Yang Xu, Chih-Cheng Hung, Zhihui Wei

IEEE Geosci. Remote. Sens. Lett., 2024

Spectral-Spatial Attentions and Deep Supervision for Change Detection in Remote Sensing Images.

Xia Zhang, Jia Liu, Wenhua Zhang, Fang Liu, Jingxiang Yang, Liang Xiao

Proceedings of the IGARSS 2024, 2024

Vision-Language Joint Learning for Box-Supervised Change Detection in Remote Sensing.

Kanghua Yin, Fang Liu, Jia Liu, Liang Xiao

Proceedings of the IGARSS 2024, 2024

2023

Cross-Domain Few-Shot Hyperspectral Image Classification With Class-Wise Attention.

Wenzhen Wang, Fang Liu, Jia Liu, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2023

Adversarial Domain Alignment With Contrastive Learning for Hyperspectral Image Classification.

Fang Liu, Wenfei Gao, Jia Liu, Xu Tang, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2023

MANet: An Efficient Multidimensional Attention-Aggregated Network for Remote Sensing Image Change Detection.

Kaixuan Jiang, Jia Liu, Wenhua Zhang, Fang Liu, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2023

Self-Supervised Global-Local Contrastive Learning for Fine-Grained Change Detection in VHR Images.

Fenlong Jiang, Maoguo Gong, Hanhong Zheng, Tongfei Liu, Mingyang Zhang, Jia Liu

IEEE Trans. Geosci. Remote. Sens., 2023

PRBCD-Net: Predict-Refining-Involved Bidirectional Contrastive Difference Network for Unsupervised Change Detection.

Ling Hu, Qichao Liu, Jia Liu, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2023

Spatial-Spectral Adaptive Learning With Pixelwise Filtering for Hyperspectral Image Classification.

Wenfei Gao, Fang Liu, Jia Liu, Liang Xiao, Xu Tang

IEEE Trans. Geosci. Remote. Sens., 2023

DFAT: Dynamic Feature-Adaptive Tracking.

Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Jia Liu

IEEE Trans. Circuits Syst. Video Technol., 2023

Adaptive Spatial and Difference Learning for Change Detection.

Yangguang Liu, Fang Liu, Jia Liu, Xu Tang, Liang Xiao

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

Intrinsic Decomposition Model-Guided Two-Stream Coupled Autoencoder for Unsupervised Hyperspectral Image Change Detection.

Jia Sun, Jia Liu, Liang Xiao

IEEE Geosci. Remote. Sens. Lett., 2023

Explicit Change Relation Learning for Change Detection in VHR Remote Sensing Images.

Dalong Zheng, Zebin Wu, Jia Liu, Chih-Cheng Hung, Zhihui Wei

CoRR, 2023

SwinV2DNet: Pyramid and Self-Supervision Compounded Feature Learning for Remote Sensing Images Change Detection.

Dalong Zheng, Zebin Wu, Jia Liu, Zhihui Wei

CoRR, 2023

Novel Contrastive Regularized Bipartite Network for Unsupervised Change Detection.

Ling Hu, Ran Meng, Qichao Liu, Jia Liu, Liang Xiao

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Edge-Guided Feature Dense Fusion Network for Remote Sensing Image Change Detection.

Hejun Luo, Jia Liu, Fang Liu, Wenhua Zhang, Jingxiang Yang, Liang Xiao

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

Unsupervised Domain Adaption for Remote Sensing Semantic Segmentation with Self-Attention Mechanism.

Keming Liu, Fang Liu, Jia Liu, Liang Xiao, Xu Tang

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

Stair Fusion Network for Remote Sensing Image Semantic Segmentation.

Wenyi Hua, Jia Liu, Fang Liu, Wenhua Zhang, Jiaqi An

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

Domain-Specific and Domain-Common Feature Enhancement for Cross-Domain Few-Shot Hyperspectral Image Classification.

Wenfei Gao, Fang Liu, Jia Liu, Liang Xiao, Xu Tang

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

Spatial-Preserving and Edge-Orienting High-Resolution Network for Remote Sensing Change Detection.

Jiaqi An, Fang Liu, Jia Liu, Liang Xiao, Xu Tang

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

2022

Disentangled Representation Learning for Multiple Attributes Preserving Face Deidentification.

Maoguo Gong, Jia Liu, Hao Li, Yu Xie, Zedong Tang

IEEE Trans. Neural Networks Learn. Syst., 2022

Adaptive Contourlet Fusion Clustering for SAR Image Change Detection.

Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Jia Liu

IEEE Trans. Image Process., 2022

Sparse Feature Clustering Network for Unsupervised SAR Image Change Detection.

Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Wei Song, Jia Liu

IEEE Trans. Geosci. Remote. Sens., 2022

MBLT: Learning Motion and Background for Vehicle Tracking in Satellite Videos.

Wenhua Zhang, Licheng Jiao, Fang Liu, Lingling Li, Xu Liu, Jia Liu

IEEE Trans. Geosci. Remote. Sens., 2022

LHNet: Laplacian Convolutional Block for Remote Sensing Image Scene Classification.

Wenhua Zhang, Licheng Jiao, Fang Liu, Jia Liu, Zhen Cui

IEEE Trans. Geosci. Remote. Sens., 2022

A Probabilistic Model Based on Bipartite Convolutional Neural Network for Unsupervised Change Detection.

Jia Liu, Wenhua Zhang, Fang Liu, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2022

Adaptive Graph Convolutional Network for PolSAR Image Classification.

Fang Liu, Jingya Wang, Xu Tang, Jia Liu, Xiangrong Zhang, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2022

Joint Variation Learning of Fusion and Difference Features for Change Detection in Remote Sensing Images.

Kaixuan Jiang, Wenhua Zhang, Jia Liu, Fang Liu, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2022

A Total Variation Regularized Bipartite Network for Unsupervised Change Detection.

Ling Hu, Jia Liu, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2022

Evolving Connections in Group of Neurons for Robust Learning.

Jia Liu, Maoguo Gong, Liang Xiao, Wenhua Zhang, Fang Liu

IEEE Trans. Cybern., 2022

Deep Image Inpainting With Enhanced Normalization and Contextual Attention.

Jia Liu, Maoguo Gong, Zedong Tang, A. Kai Qin, Hao Li, Fenlong Jiang

IEEE Trans. Circuits Syst. Video Technol., 2022

Learning Pairwise Potential CRFs in Deep Siamese Network for Change Detection.

Dalong Zheng, Zhihui Wei, Zebin Wu, Jia Liu

Remote. Sens., 2022

A Mutual Teaching Framework with Momentum Correction for Unsupervised Hyperspectral Image Change Detection.

Jia Sun, Jia Liu, Ling Hu, Zhihui Wei, Liang Xiao

Remote. Sens., 2022

Domain-Adaptive Few-Shot Learning for Hyperspectral Image Classification.

Andi Zhang, Fang Liu, Jia Liu, Xu Tang, Wenfei Gao, Donghui Li, Liang Xiao

IEEE Geosci. Remote. Sens. Lett., 2022

Siamese High-Resolution Network for Change Detection.

Yu Wang, Jia Liu, Fang Liu, Wenhua Zhang, Liang Xiao, Jiao Shi

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Spatial-Adaptive and Feature-Enhanced Siamese Network for Change Detection.

Yangguang Liu, Fang Liu, Jia Liu, Xu Tang, Kaixuan Jiang, Liang Xiao

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

A Dual-Fusion Semantic Segmentation Framework with Gan for SAR Images.

Donghui Li, Jia Liu, Fang Liu, Wenhua Zhang, Andi Zhang, Wenfei Gao, Jiao Shi

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Dual Unet: A Novel Siamese Network for Change Detection with Cascade Differential Fusion.

Kaixuan Jiang, Jia Liu, Fang Liu, Wenhua Zhang, Yangguang Liu, Jiao Shi

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Learning Transformations between Heterogeneous SAR and Optical Images for Change Detection.

Zhenqing Chen, Jia Liu, Fang Liu, Wenhua Zhang, Liang Xiao, Jiao Shi

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Evolving Deep Neural Networks via Cooperative Coevolution With Backpropagation.

Maoguo Gong, Jia Liu, A. Kai Qin, Kun Zhao, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., 2021

Sparse Learning-Based Correlation Filter for Robust Tracking.

Wenhua Zhang, Licheng Jiao, Yuxuan Li, Jia Liu

IEEE Trans. Image Process., 2021

Large-Scope PolSAR Image Change Detection Based on Looking-Around-and-Into Mode.

Fang Liu, Xu Tang, Xiangrong Zhang, Licheng Jiao, Jia Liu

IEEE Trans. Geosci. Remote. Sens., 2021

Deep associative learning for neural networks.

Jia Liu, Wenhua Zhang, Fang Liu, Liang Xiao

Neurocomputing, 2021

2020

Bipartite Differential Neural Network for Unsupervised Image Change Detection.

Jia Liu, Maoguo Gong, A. Kai Qin, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., 2020

Nucleus Neural Network: A Data-driven Self-organized Architecture.

Jia Liu, Wenhua Zhang, Maoguo Gong, Haibo He

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Bipartite Residual Network for Change Detection in Heterogeneous Optical and Radar Images.

Haocheng Zhang, Jia Liu, Liang Xiao

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images.

Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu, Yifang Ban

IEEE Trans. Geosci. Remote. Sens., 2019

Decomposition-Based Evolutionary Multiobjective Optimization to Self-Paced Learning.

Maoguo Gong, Hao Li, Deyu Meng, Qiguang Miao, Jia Liu

IEEE Trans. Evol. Comput., 2019

Deep associative neural network for associative memory based on unsupervised representation learning.

Jia Liu, Maoguo Gong, Haibo He

Neural Networks, 2019

Hierarchical Feature-Aware Tracking.

Wenhua Zhang, Licheng Jiao, Jia Liu

CoRR, 2019

Nucleus Neural Network for Super Robust Learning.

Jia Liu, Maoguo Gong, Haibo He

CoRR, 2019

Multi-Scale Feature Fusion Network for Object Detection in VHR Optical Remote Sensing Images.

Wenhua Zhang, Licheng Jiao, Xu Liu, Jia Liu

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images.

Jia Liu, Maoguo Gong, A. Kai Qin, Puzhao Zhang

IEEE Trans. Neural Networks Learn. Syst., 2018

Structure Learning for Deep Neural Networks Based on Multiobjective Optimization.

Jia Liu, Maoguo Gong, Qiguang Miao, Xiaogang Wang, Hao Li

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

Discriminative Feature Learning for Unsupervised Change Detection in Heterogeneous Images Based on a Coupled Neural Network.

Wei Zhao, Zhirui Wang, Maoguo Gong, Jia Liu

IEEE Trans. Geosci. Remote. Sens., 2017

A Multiobjective Cooperative Coevolutionary Algorithm for Hyperspectral Sparse Unmixing.

Maoguo Gong, Hao Li, Enhu Luo, Jing Liu, Jia Liu

IEEE Trans. Evol. Comput., 2017

Deep learning and mapping based ternary change detection for information unbalanced images.

Linzhi Su, Maoguo Gong, Puzhao Zhang, Mingyang Zhang, Jia Liu, Hailun Yang

Pattern Recognit., 2017

DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework.

Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Modeling Hebb Learning Rule for Unsupervised Learning.

Jia Liu, Maoguo Gong, Qiguang Miao

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Memetic algorithm based feature selection for hyperspectral images classification.

Mingyang Zhang, Jingjing Ma, Maoguo Gong, Hao Li, Jia Liu

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Multi-objective endmember extraction for hyperspectral images.

Hao Li, Jingjing Ma, Jia Liu, Maoguo Gong, Mingyang Zhang

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Neuron Learning Machine for Representation Learning.

Jia Liu, Maoguo Gong, Qiguang Miao

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks.

Maoguo Gong, Jiaojiao Zhao, Jia Liu, Qiguang Miao, Licheng Jiao

IEEE Trans. Neural Networks Learn. Syst., 2016

Coupled Dictionary Learning for Change Detection From Multisource Data.

Maoguo Gong, Puzhao Zhang, Linzhi Su, Jia Liu

IEEE Trans. Geosci. Remote. Sens., 2016

Difference representation learning using stacked restricted Boltzmann machines for change detection in SAR images.

Jia Liu, Maoguo Gong, Jiaojiao Zhao, Hao Li, Licheng Jiao

Soft Comput., 2016

A multiobjective fuzzy clustering method for change detection in SAR images.

Hao Li, Maoguo Gong, Qiao Wang, Jia Liu, Linzhi Su

Appl. Soft Comput., 2016

Enhancing evolutionary multifactorial optimization based on particle swarm optimization.

Tian Xie, Maoguo Gong, Zedong Tang, Yu Lei, Jia Liu, Zhao Wang

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

A Multiobjective Sparse Feature Learning Model for Deep Neural Networks.

Maoguo Gong, Jia Liu, Hao Li, Qing Cai, Linzhi Su

IEEE Trans. Neural Networks Learn. Syst., 2015

A Local Statistical Fuzzy Active Contour Model for Change Detection.

Hao Li, Maoguo Gong, Jia Liu

IEEE Geosci. Remote. Sens. Lett., 2015

Change detection in synthetic aperture radar images based on unsupervised artificial immune systems.

Jia Liu, Maoguo Gong, Qiguang Miao, Linzhi Su, Hao Li

Appl. Soft Comput., 2015

2014

Deep learning to classify difference image for image change detection.

Jiaojiao Zhao, Maoguo Gong, Jia Liu, Licheng Jiao

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Fuzzy C-means clustering with weighted energy function in MRF for image segmentation.

Chi Wang, Jia Liu, Maoguo Gong, Licheng Jiao, Jing Liu

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014