Jia Liu

92 papers A* 3B 6C 14Misc 2Journal 66Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
D&D-Net: A diffusion and deep priors regularized network for hyperspectral reconstruction.
Signal Process.
Jingxiang Yang, Tian Lin, Wenxiu Diao, Fang Liu, Jia Liu, Hongyi Liu, Liang Xiao
2025 J jnl
Background-Driven and Foreground-Refined Network for Weakly Supervised Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Fang Liu, Peng Zhang, Jia Liu, Jingxiang Yang, Xu Tang, Liang Xiao
2025 J jnl
Box2Change: A Novel Weakly Supervised Way for Change Detection via Consistency Instance Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Fang Liu, Kanghua Yin, Jia Liu, Jingxiang Yang, Xu Tang, Liang Xiao
2025 J jnl
Deep one-class probability learning for end-to-end image classification.
Neural Networks
Jia Liu, Wenhua Zhang, Fang Liu, Jingxiang Yang, Liang Xiao
2025 J jnl
Edge-Object Co-Driven Learning for Remote Sensing Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Yangguang Liu, Fang Liu, Jia Liu, Liang Xiao
2025 Misc conf
Mask-guided Multi-scale Spatial-Spectral Transformer for Snapshot Compressive Imaging.
ICASSP
Heyuan Yin, Jingxiang Yang, Jia Liu, Liang Xiao
2025 Misc conf
Multi-scale Feature Interaction and Adaptive Experts for Panoptic Segmentation in Remote Sensing Images.
ICASSP
Zhenkun Sun, Jia Liu, Wenhua Zhang, Fang Liu, Jingxiang Yang, Liang Xiao
2025 J jnl
Multimodal Feature Interactive Learning for Few-Shot Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Fang Liu, Yan Li, Wenfei Gao, Jia Liu, Xu Tang, Liang Xiao
2025 J jnl
Multiscale Self-Supervised Constraints and Change-Masks-Guided Network for Weakly Supervised Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Jia Liu, Hejun Luo, Wenhua Zhang, Fang Liu, Liang Xiao
2025 J jnl
SIFANet: Spatial-Temporal Interaction and Frequency Adaptive Awareness Network for Change Detection in Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Jia Liu, Kaixuan Jiang, Wenhua Zhang, Fang Liu, Liang Xiao, Puzhao Zhang, Chen Wu
2025 J jnl
Unsupervised Global Difference Modeling for Image Change Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Wenhua Zhang, Qihao Weng, Jia Liu, Zeng Qu, Yong Li, Jinjin Chai, Liang Xiao
2024 J jnl
Candidate-Aware and Change-Guided Learning for Remote Sensing Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Fang Liu, Yangguang Liu, Jia Liu, Xu Tang, Liang Xiao
2024 J jnl
Conjoint Cross-Attention Modeling and Joint Feature Calibrating for Remote Sensing Image Change Detection via a Triple-Double Network.
IEEE Trans. Geosci. Remote. Sens.
Fang Liu, Jiaqi An, Jia Liu, Jingxiang Yang, Xu Tang, Liang Xiao
2024 J jnl
Content-Guided and Class-Oriented Learning for VHR Image Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Fang Liu, Keming Liu, Jia Liu, Jingxiang Yang, Xu Tang, Liang Xiao
2024 J jnl
Detail Enhanced Change Detection in VHR Images Using a Self-Supervised Multiscale Hybrid Network.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Dalong Zheng, Zebin Wu, Jia Liu, Chih-Cheng Hung, Zhihui Wei
2024 J jnl
Difference Guidance Learning With Feature Alignment for Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Yangguang Liu, Fang Liu, Jia Liu, Liang Xiao
2024 J jnl
Explicit Change-Relation Learning for Change Detection in VHR Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett.
Dalong Zheng, Zebin Wu, Jia Liu, Yang Xu, Chih-Cheng Hung, Zhihui Wei
2024 J jnl
Hyperspectral Reconstruction From RGB Images via Physically Guided Graph Deep Prior Learning.
IEEE Trans. Geosci. Remote. Sens.
Haifeng Xu, Jingxiang Yang, Tian Lin, Jia Liu, Fang Liu, Liang Xiao
2024 J jnl
Object Knowledge Distillation for Joint Detection and Tracking in Satellite Videos.
IEEE Trans. Geosci. Remote. Sens.
Wenhua Zhang, Wenjing Deng, Zhen Cui, Jia Liu, Licheng Jiao
2024 C conf
Spectral-Spatial Attentions and Deep Supervision for Change Detection in Remote Sensing Images.
IGARSS
Xia Zhang, Jia Liu, Wenhua Zhang, Fang Liu, Jingxiang Yang, Liang Xiao
2024 J jnl
Stair Fusion Network With Context-Refined Attention for Remote Sensing Image Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Jia Liu, Wenyi Hua, Wenhua Zhang, Fang Liu, Liang Xiao
2024 C conf
Vision-Language Joint Learning for Box-Supervised Change Detection in Remote Sensing.
IGARSS
Kanghua Yin, Fang Liu, Jia Liu, Liang Xiao
2023 J jnl
Adaptive Spatial and Difference Learning for Change Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yangguang Liu, Fang Liu, Jia Liu, Xu Tang, Liang Xiao
2023 J jnl
Adversarial Domain Alignment With Contrastive Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Fang Liu, Wenfei Gao, Jia Liu, Xu Tang, Liang Xiao
2023 J jnl
Cross-Domain Few-Shot Hyperspectral Image Classification With Class-Wise Attention.
IEEE Trans. Geosci. Remote. Sens.
Wenzhen Wang, Fang Liu, Jia Liu, Liang Xiao
2023 J jnl
DFAT: Dynamic Feature-Adaptive Tracking.
IEEE Trans. Circuits Syst. Video Technol.
Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Jia Liu
2023 C conf
Domain-Specific and Domain-Common Feature Enhancement for Cross-Domain Few-Shot Hyperspectral Image Classification.
IGARSS
Wenfei Gao, Fang Liu, Jia Liu, Liang Xiao, Xu Tang
2023 C conf
Edge-Guided Feature Dense Fusion Network for Remote Sensing Image Change Detection.
IGARSS
Hejun Luo, Jia Liu, Fang Liu, Wenhua Zhang, Jingxiang Yang, Liang Xiao
2023 J jnl
Explicit Change Relation Learning for Change Detection in VHR Remote Sensing Images.
CoRR
Dalong Zheng, Zebin Wu, Jia Liu, Chih-Cheng Hung, Zhihui Wei
2023 J jnl
Intrinsic Decomposition Model-Guided Two-Stream Coupled Autoencoder for Unsupervised Hyperspectral Image Change Detection.
IEEE Geosci. Remote. Sens. Lett.
Jia Sun, Jia Liu, Liang Xiao
2023 J jnl
MANet: An Efficient Multidimensional Attention-Aggregated Network for Remote Sensing Image Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Kaixuan Jiang, Jia Liu, Wenhua Zhang, Fang Liu, Liang Xiao
2023 — conf
Novel Contrastive Regularized Bipartite Network for Unsupervised Change Detection.
WHISPERS
Ling Hu, Ran Meng, Qichao Liu, Jia Liu, Liang Xiao
2023 J jnl
PRBCD-Net: Predict-Refining-Involved Bidirectional Contrastive Difference Network for Unsupervised Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Ling Hu, Qichao Liu, Jia Liu, Liang Xiao
2023 J jnl
Self-Supervised Global-Local Contrastive Learning for Fine-Grained Change Detection in VHR Images.
IEEE Trans. Geosci. Remote. Sens.
Fenlong Jiang, Maoguo Gong, Hanhong Zheng, Tongfei Liu, Mingyang Zhang, Jia Liu
2023 C conf
Spatial-Preserving and Edge-Orienting High-Resolution Network for Remote Sensing Change Detection.
IGARSS
Jiaqi An, Fang Liu, Jia Liu, Liang Xiao, Xu Tang
2023 J jnl
Spatial-Spectral Adaptive Learning With Pixelwise Filtering for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Wenfei Gao, Fang Liu, Jia Liu, Liang Xiao, Xu Tang
2023 C conf
Stair Fusion Network for Remote Sensing Image Semantic Segmentation.
IGARSS
Wenyi Hua, Jia Liu, Fang Liu, Wenhua Zhang, Jiaqi An
2023 J jnl
SwinV2DNet: Pyramid and Self-Supervision Compounded Feature Learning for Remote Sensing Images Change Detection.
CoRR
Dalong Zheng, Zebin Wu, Jia Liu, Zhihui Wei
2023 C conf
Unsupervised Domain Adaption for Remote Sensing Semantic Segmentation with Self-Attention Mechanism.
IGARSS
Keming Liu, Fang Liu, Jia Liu, Liang Xiao, Xu Tang
2022 C conf
A Dual-Fusion Semantic Segmentation Framework with Gan for SAR Images.
IGARSS
Donghui Li, Jia Liu, Fang Liu, Wenhua Zhang, Andi Zhang, Wenfei Gao, Jiao Shi
2022 J jnl
A Dual-fusion Semantic Segmentation Framework With GAN For SAR Images.
CoRR
Donghui Li, Jia Liu, Fang Liu, Wenhua Zhang, Andi Zhang, Wenfei Gao, Jiao Shi
2022 J jnl
A Mutual Teaching Framework with Momentum Correction for Unsupervised Hyperspectral Image Change Detection.
Remote. Sens.
Jia Sun, Jia Liu, Ling Hu, Zhihui Wei, Liang Xiao
2022 J jnl
A Probabilistic Model Based on Bipartite Convolutional Neural Network for Unsupervised Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Jia Liu, Wenhua Zhang, Fang Liu, Liang Xiao
2022 J jnl
A Total Variation Regularized Bipartite Network for Unsupervised Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Ling Hu, Jia Liu, Liang Xiao
2022 J jnl
Adaptive Contourlet Fusion Clustering for SAR Image Change Detection.
IEEE Trans. Image Process.
Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Jia Liu
2022 J jnl
Adaptive Graph Convolutional Network for PolSAR Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Fang Liu, Jingya Wang, Xu Tang, Jia Liu, Xiangrong Zhang, Liang Xiao
2022 J jnl
Deep Image Inpainting With Enhanced Normalization and Contextual Attention.
IEEE Trans. Circuits Syst. Video Technol.
Jia Liu, Maoguo Gong, Zedong Tang, A. K. Qin, Hao Li, Fenlong Jiang
2022 J jnl
Disentangled Representation Learning for Multiple Attributes Preserving Face Deidentification.
IEEE Trans. Neural Networks Learn. Syst.
Maoguo Gong, Jia Liu, Hao Li, Yu Xie, Zedong Tang
2022 J jnl
Domain-Adaptive Few-Shot Learning for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Andi Zhang, Fang Liu, Jia Liu, Xu Tang, Wenfei Gao, Donghui Li, Liang Xiao
2022 C conf
Dual Unet: A Novel Siamese Network for Change Detection with Cascade Differential Fusion.
IGARSS
Kaixuan Jiang, Jia Liu, Fang Liu, Wenhua Zhang, Yangguang Liu, Jiao Shi
2022 J jnl
Evolving Connections in Group of Neurons for Robust Learning.
IEEE Trans. Cybern.
Jia Liu, Maoguo Gong, Liang Xiao, Wenhua Zhang, Fang Liu
2022 J jnl
Joint Variation Learning of Fusion and Difference Features for Change Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Kaixuan Jiang, Wenhua Zhang, Jia Liu, Fang Liu, Liang Xiao
2022 J jnl
LHNet: Laplacian Convolutional Block for Remote Sensing Image Scene Classification.
IEEE Trans. Geosci. Remote. Sens.
Wenhua Zhang, Licheng Jiao, Fang Liu, Jia Liu, Zhen Cui
2022 J jnl
Learning Pairwise Potential CRFs in Deep Siamese Network for Change Detection.
Remote. Sens.
Dalong Zheng, Zhihui Wei, Zebin Wu, Jia Liu
2022 C conf
Learning Transformations between Heterogeneous SAR and Optical Images for Change Detection.
IGARSS
Zhenqing Chen, Jia Liu, Fang Liu, Wenhua Zhang, Liang Xiao, Jiao Shi
2022 J jnl
MBLT: Learning Motion and Background for Vehicle Tracking in Satellite Videos.
IEEE Trans. Geosci. Remote. Sens.
Wenhua Zhang, Licheng Jiao, Fang Liu, Lingling Li, Xu Liu, Jia Liu
2022 C conf
Siamese High-Resolution Network for Change Detection.
IGARSS
Yu Wang, Jia Liu, Fang Liu, Wenhua Zhang, Liang Xiao, Jiao Shi
2022 J jnl
Sparse Feature Clustering Network for Unsupervised SAR Image Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Wei Song, Jia Liu
2022 C conf
Spatial-Adaptive and Feature-Enhanced Siamese Network for Change Detection.
IGARSS
Yangguang Liu, Fang Liu, Jia Liu, Xu Tang, Kaixuan Jiang, Liang Xiao
2021 J jnl
Deep associative learning for neural networks.
Neurocomputing
Jia Liu, Wenhua Zhang, Fang Liu, Liang Xiao
2021 J jnl
Evolving Deep Neural Networks via Cooperative Coevolution With Backpropagation.
IEEE Trans. Neural Networks Learn. Syst.
Maoguo Gong, Jia Liu, A. K. Qin, Kun Zhao, Kay Chen Tan
2021 J jnl
Large-Scope PolSAR Image Change Detection Based on Looking-Around-and-Into Mode.
IEEE Trans. Geosci. Remote. Sens.
Fang Liu, Xu Tang, Xiangrong Zhang, Licheng Jiao, Jia Liu
2021 J jnl
Sparse Learning-Based Correlation Filter for Robust Tracking.
IEEE Trans. Image Process.
Wenhua Zhang, Licheng Jiao, Yuxuan Li, Jia Liu
2020 J jnl
Bipartite Differential Neural Network for Unsupervised Image Change Detection.
IEEE Trans. Neural Networks Learn. Syst.
Jia Liu, Maoguo Gong, A. K. Qin, Kay Chen Tan
2020 C conf
Bipartite Residual Network for Change Detection in Heterogeneous Optical and Radar Images.
IGARSS
Haocheng Zhang, Jia Liu, Liang Xiao
2020 B conf
Nucleus Neural Network: A Data-driven Self-organized Architecture.
IJCNN
Jia Liu, Wenhua Zhang, Maoguo Gong, Haibo He
2019 J jnl
Decomposition-Based Evolutionary Multiobjective Optimization to Self-Paced Learning.
IEEE Trans. Evol. Comput.
Maoguo Gong, Hao Li, Deyu Meng, Qiguang Miao, Jia Liu
2019 J jnl
Deep associative neural network for associative memory based on unsupervised representation learning.
Neural Networks
Jia Liu, Maoguo Gong, Haibo He
2019 J jnl
Hierarchical Feature-Aware Tracking.
CoRR
Wenhua Zhang, Licheng Jiao, Jia Liu
2019 C conf
Multi-Scale Feature Fusion Network for Object Detection in VHR Optical Remote Sensing Images.
IGARSS
Wenhua Zhang, Licheng Jiao, Xu Liu, Jia Liu
2019 J jnl
Nucleus Neural Network for Super Robust Learning.
CoRR
Jia Liu, Maoguo Gong, Haibo He
2019 J jnl
Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu, Yifang Ban
2018 J jnl
A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images.
IEEE Trans. Neural Networks Learn. Syst.
Jia Liu, Maoguo Gong, A. Kai Qin, Puzhao Zhang
2018 J jnl
Structure Learning for Deep Neural Networks Based on Multiobjective Optimization.
IEEE Trans. Neural Networks Learn. Syst.
Jia Liu, Maoguo Gong, Qiguang Miao, Xiaogang Wang, Hao Li
2017 J jnl
A Multiobjective Cooperative Coevolutionary Algorithm for Hyperspectral Sparse Unmixing.
IEEE Trans. Evol. Comput.
Maoguo Gong, Hao Li, Enhu Luo, Jing Liu, Jia Liu
2017 A* conf
DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework.
IJCAI
Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu
2017 J jnl
Deep learning and mapping based ternary change detection for information unbalanced images.
Pattern Recognit.
Linzhi Su, Maoguo Gong, Puzhao Zhang, Mingyang Zhang, Jia Liu, Hailun Yang
2017 J jnl
Discriminative Feature Learning for Unsupervised Change Detection in Heterogeneous Images Based on a Coupled Neural Network.
IEEE Trans. Geosci. Remote. Sens.
Wei Zhao, Zhirui Wang, Maoguo Gong, Jia Liu
2017 B conf
Memetic algorithm based feature selection for hyperspectral images classification.
CEC
Mingyang Zhang, Jingjing Ma, Maoguo Gong, Hao Li, Jia Liu
2017 A* conf
Modeling Hebb Learning Rule for Unsupervised Learning.
IJCAI
Jia Liu, Maoguo Gong, Qiguang Miao
2017 B conf
Multi-objective endmember extraction for hyperspectral images.
CEC
Hao Li, Jingjing Ma, Jia Liu, Maoguo Gong, Mingyang Zhang
2017 A* conf
Neuron Learning Machine for Representation Learning.
AAAI
Jia Liu, Maoguo Gong, Qiguang Miao
2016 J jnl
A multiobjective fuzzy clustering method for change detection in SAR images.
Appl. Soft Comput.
Hao Li, Maoguo Gong, Qiao Wang, Jia Liu, Linzhi Su
2016 J jnl
Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Maoguo Gong, Jiaojiao Zhao, Jia Liu, Qiguang Miao, Licheng Jiao
2016 J jnl
Coupled Dictionary Learning for Change Detection From Multisource Data.
IEEE Trans. Geosci. Remote. Sens.
Maoguo Gong, Puzhao Zhang, Linzhi Su, Jia Liu
2016 J jnl
Difference representation learning using stacked restricted Boltzmann machines for change detection in SAR images.
Soft Comput.
Jia Liu, Maoguo Gong, Jiaojiao Zhao, Hao Li, Licheng Jiao
2016 B conf
Enhancing evolutionary multifactorial optimization based on particle swarm optimization.
CEC
Tian Xie, Maoguo Gong, Zedong Tang, Yu Lei, Jia Liu, Zhao Wang
2015 J jnl
A Local Statistical Fuzzy Active Contour Model for Change Detection.
IEEE Geosci. Remote. Sens. Lett.
Hao Li, Maoguo Gong, Jia Liu
2015 J jnl
A Multiobjective Sparse Feature Learning Model for Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Maoguo Gong, Jia Liu, Hao Li, Qing Cai, Linzhi Su
2015 J jnl
Change detection in synthetic aperture radar images based on unsupervised artificial immune systems.
Appl. Soft Comput.
Jia Liu, Maoguo Gong, Qiguang Miao, Linzhi Su, Hao Li
2014 B conf
Deep learning to classify difference image for image change detection.
IJCNN
Jiaojiao Zhao, Maoguo Gong, Jia Liu, Licheng Jiao
2014 B conf
Fuzzy C-means clustering with weighted energy function in MRF for image segmentation.
FUZZ-IEEE
Chi Wang, Jia Liu, Maoguo Gong, Licheng Jiao, Jing Liu