Fuzzy C-means clustering with weighted energy function in MRF for image segmentation. - Chi Wang; Jia Liu 020; Maoguo Gong; Licheng Jiao; Jing Liu 006 (FUZZ-IEEE, 2014)

Deep learning to classify difference image for image change detection. - Jiaojiao Zhao; Maoguo Gong; Jia Liu 020; Licheng Jiao (IJCNN, 2014)

Change detection in synthetic aperture radar images based on unsupervised artificial immune systems. - Jia Liu 020; Maoguo Gong; Qiguang Miao; Linzhi Su; Hao Li 009 (Appl. Soft Comput., 2015)

A Local Statistical Fuzzy Active Contour Model for Change Detection. - Hao Li 009; Maoguo Gong; Jia Liu 020 (IEEE Geosci. Remote. Sens. Lett., 2015)

A Multiobjective Sparse Feature Learning Model for Deep Neural Networks. - Maoguo Gong; Jia Liu 020; Hao Li 009; Qing Cai; Linzhi Su (IEEE Trans. Neural Networks Learn. Syst., 2015)

Enhancing evolutionary multifactorial optimization based on particle swarm optimization. - Tian Xie; Maoguo Gong; Zedong Tang; Yu Lei 002; Jia Liu 020; Zhao Wang (CEC, 2016)

A multiobjective fuzzy clustering method for change detection in SAR images. - Hao Li 009; Maoguo Gong; Qiao Wang; Jia Liu 020; Linzhi Su (Appl. Soft Comput., 2016)

Difference representation learning using stacked restricted Boltzmann machines for change detection in SAR images. - Jia Liu 020; Maoguo Gong; Jiaojiao Zhao; Hao Li 009; Licheng Jiao (Soft Comput., 2016)

Coupled Dictionary Learning for Change Detection From Multisource Data. - Maoguo Gong; Puzhao Zhang; Linzhi Su; Jia Liu 020 (IEEE Trans. Geosci. Remote. Sens., 2016)

Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks. - Maoguo Gong; Jiaojiao Zhao; Jia Liu 020; Qiguang Miao; Licheng Jiao (IEEE Trans. Neural Networks Learn. Syst., 2016)

Neuron Learning Machine for Representation Learning. - Jia Liu 020; Maoguo Gong; Qiguang Miao (AAAI, 2017)

Multi-objective endmember extraction for hyperspectral images. - Hao Li 009; Jingjing Ma 001; Jia Liu 020; Maoguo Gong; Mingyang Zhang 002 (CEC, 2017)

Memetic algorithm based feature selection for hyperspectral images classification. - Mingyang Zhang 002; Jingjing Ma 001; Maoguo Gong; Hao Li 009; Jia Liu 020 (CEC, 2017)

Modeling Hebb Learning Rule for Unsupervised Learning. - Jia Liu 020; Maoguo Gong; Qiguang Miao (IJCAI, 2017)

DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework. - Puzhao Zhang; Maoguo Gong; Hui Zhang; Jia Liu 020 (IJCAI, 2017)

Deep learning and mapping based ternary change detection for information unbalanced images. - Linzhi Su; Maoguo Gong; Puzhao Zhang; Mingyang Zhang 002; Jia Liu 020; Hailun Yang (Pattern Recognit., 2017)

A Multiobjective Cooperative Coevolutionary Algorithm for Hyperspectral Sparse Unmixing. - Maoguo Gong; Hao Li 009; Enhu Luo; Jing Liu 006; Jia Liu 020 (IEEE Trans. Evol. Comput., 2017)

Discriminative Feature Learning for Unsupervised Change Detection in Heterogeneous Images Based on a Coupled Neural Network. - Wei Zhao 019; Zhirui Wang; Maoguo Gong; Jia Liu 020 (IEEE Trans. Geosci. Remote. Sens., 2017)

Structure Learning for Deep Neural Networks Based on Multiobjective Optimization. - Jia Liu 020; Maoguo Gong; Qiguang Miao; Xiaogang Wang 001; Hao Li 009 (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images. - Jia Liu 020; Maoguo Gong; A. Kai Qin; Puzhao Zhang (IEEE Trans. Neural Networks Learn. Syst., 2018)

Multi-Scale Feature Fusion Network for Object Detection in VHR Optical Remote Sensing Images. - Wenhua Zhang; Licheng Jiao; Xu Liu 006; Jia Liu 020 (IGARSS, 2019)

Nucleus Neural Network for Super Robust Learning. - Jia Liu 020; Maoguo Gong; Haibo He (CoRR, 2019)

Hierarchical Feature-Aware Tracking. - Wenhua Zhang; Licheng Jiao; Jia Liu 020 (CoRR, 2019)

Deep associative neural network for associative memory based on unsupervised representation learning. - Jia Liu 020; Maoguo Gong; Haibo He (Neural Networks, 2019)

Decomposition-Based Evolutionary Multiobjective Optimization to Self-Paced Learning. - Maoguo Gong; Hao Li 009; Deyu Meng; Qiguang Miao; Jia Liu 020 (IEEE Trans. Evol. Comput., 2019)

Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images. - Puzhao Zhang; Maoguo Gong; Hui Zhang; Jia Liu 020; Yifang Ban (IEEE Trans. Geosci. Remote. Sens., 2019)

Bipartite Residual Network for Change Detection in Heterogeneous Optical and Radar Images. - Haocheng Zhang; Jia Liu 020; Liang Xiao 001 (IGARSS, 2020)

Nucleus Neural Network: A Data-driven Self-organized Architecture. - Jia Liu 020; Wenhua Zhang; Maoguo Gong; Haibo He (IJCNN, 2020)

Bipartite Differential Neural Network for Unsupervised Image Change Detection. - Jia Liu 020; Maoguo Gong; A. Kai Qin; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2020)

Deep associative learning for neural networks. - Jia Liu 020; Wenhua Zhang; Fang Liu 001; Liang Xiao 001 (Neurocomputing, 2021)

Large-Scope PolSAR Image Change Detection Based on Looking-Around-and-Into Mode. - Fang Liu 034; Xu Tang; Xiangrong Zhang; Licheng Jiao; Jia Liu 020 (IEEE Trans. Geosci. Remote. Sens., 2021)

Sparse Learning-Based Correlation Filter for Robust Tracking. - Wenhua Zhang; Licheng Jiao; Yuxuan Li; Jia Liu 020 (IEEE Trans. Image Process., 2021)

Evolving Deep Neural Networks via Cooperative Coevolution With Backpropagation. - Maoguo Gong; Jia Liu 020; A. Kai Qin; Kun Zhao; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2021)

Learning Transformations between Heterogeneous SAR and Optical Images for Change Detection. - Zhenqing Chen; Jia Liu 020; Fang Liu; Wenhua Zhang; Liang Xiao 001; Jiao Shi (IGARSS, 2022)

Dual Unet: A Novel Siamese Network for Change Detection with Cascade Differential Fusion. - Kaixuan Jiang; Jia Liu 020; Fang Liu 034; Wenhua Zhang; Yangguang Liu; Jiao Shi (IGARSS, 2022)

A Dual-Fusion Semantic Segmentation Framework with Gan for SAR Images. - Donghui Li; Jia Liu 020; Fang Liu 001; Wenhua Zhang; Andi Zhang 003; Wenfei Gao; Jiao Shi (IGARSS, 2022)

Spatial-Adaptive and Feature-Enhanced Siamese Network for Change Detection. - Yangguang Liu; Fang Liu 034; Jia Liu 020; Xu Tang; Kaixuan Jiang; Liang Xiao 001 (IGARSS, 2022)

Siamese High-Resolution Network for Change Detection. - Yu Wang; Jia Liu 020; Fang Liu; Wenhua Zhang; Liang Xiao 001; Jiao Shi (IGARSS, 2022)

Domain-Adaptive Few-Shot Learning for Hyperspectral Image Classification. - Andi Zhang 003; Fang Liu 034; Jia Liu 020; Xu Tang; Wenfei Gao; Donghui Li; Liang Xiao 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

A Mutual Teaching Framework with Momentum Correction for Unsupervised Hyperspectral Image Change Detection. - Jia Sun; Jia Liu 020; Ling Hu; Zhihui Wei; Liang Xiao 001 (Remote. Sens., 2022)

Learning Pairwise Potential CRFs in Deep Siamese Network for Change Detection. - Dalong Zheng; Zhihui Wei; Zebin Wu 001; Jia Liu 020 (Remote. Sens., 2022)

Deep Image Inpainting With Enhanced Normalization and Contextual Attention. - Jia Liu 020; Maoguo Gong; Zedong Tang; A. Kai Qin; Hao Li 009; Fenlong Jiang (IEEE Trans. Circuits Syst. Video Technol., 2022)

Evolving Connections in Group of Neurons for Robust Learning. - Jia Liu 020; Maoguo Gong; Liang Xiao 001; Wenhua Zhang; Fang Liu 034 (IEEE Trans. Cybern., 2022)

A Total Variation Regularized Bipartite Network for Unsupervised Change Detection. - Ling Hu; Jia Liu 020; Liang Xiao 001 (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 020; Fang Liu 034; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Adaptive Graph Convolutional Network for PolSAR Image Classification. - Fang Liu 034; Jingya Wang; Xu Tang; Jia Liu 020; Xiangrong Zhang; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

A Probabilistic Model Based on Bipartite Convolutional Neural Network for Unsupervised Change Detection. - Jia Liu 020; Wenhua Zhang; Fang Liu 034; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

LHNet: Laplacian Convolutional Block for Remote Sensing Image Scene Classification. - Wenhua Zhang; Licheng Jiao; Fang Liu 001; Jia Liu 020; Zhen Cui 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

MBLT: Learning Motion and Background for Vehicle Tracking in Satellite Videos. - Wenhua Zhang; Licheng Jiao; Fang Liu 001; Lingling Li 002; Xu Liu 006; Jia Liu 020 (IEEE Trans. Geosci. Remote. Sens., 2022)

Sparse Feature Clustering Network for Unsupervised SAR Image Change Detection. - Wenhua Zhang; Licheng Jiao; Fang Liu 001; Shuyuan Yang 001; Wei Song; Jia Liu 020 (IEEE Trans. Geosci. Remote. Sens., 2022)

Adaptive Contourlet Fusion Clustering for SAR Image Change Detection. - Wenhua Zhang; Licheng Jiao; Fang Liu 001; Shuyuan Yang 001; Jia Liu 020 (IEEE Trans. Image Process., 2022)

Disentangled Representation Learning for Multiple Attributes Preserving Face Deidentification. - Maoguo Gong; Jia Liu 020; Hao Li 009; Yu Xie; Zedong Tang (IEEE Trans. Neural Networks Learn. Syst., 2022)

Spatial-Preserving and Edge-Orienting High-Resolution Network for Remote Sensing Change Detection. - Jiaqi An; Fang Liu 001; Jia Liu 020; Liang Xiao 001; Xu Tang (IGARSS, 2023)

Domain-Specific and Domain-Common Feature Enhancement for Cross-Domain Few-Shot Hyperspectral Image Classification. - Wenfei Gao; Fang Liu 001; Jia Liu 020; Liang Xiao 001; Xu Tang (IGARSS, 2023)

Stair Fusion Network for Remote Sensing Image Semantic Segmentation. - Wenyi Hua; Jia Liu 020; Fang Liu 034; Wenhua Zhang; Jiaqi An (IGARSS, 2023)

Unsupervised Domain Adaption for Remote Sensing Semantic Segmentation with Self-Attention Mechanism. - Keming Liu; Fang Liu 001; Jia Liu 020; Liang Xiao 001; Xu Tang (IGARSS, 2023)

Edge-Guided Feature Dense Fusion Network for Remote Sensing Image Change Detection. - Hejun Luo; Jia Liu 020; Fang Liu 001; Wenhua Zhang; Jingxiang Yang; Liang Xiao 001 (IGARSS, 2023)

Novel Contrastive Regularized Bipartite Network for Unsupervised Change Detection. - Ling Hu; Ran Meng; Qichao Liu; Jia Liu 020; Liang Xiao 001 (WHISPERS, 2023)

SwinV2DNet: Pyramid and Self-Supervision Compounded Feature Learning for Remote Sensing Images Change Detection. - Dalong Zheng; Zebin Wu 001; Jia Liu 020; Zhihui Wei (CoRR, 2023)

Explicit Change Relation Learning for Change Detection in VHR Remote Sensing Images. - Dalong Zheng; Zebin Wu 001; Jia Liu 020; Chih-Cheng Hung; Zhihui Wei (CoRR, 2023)

Intrinsic Decomposition Model-Guided Two-Stream Coupled Autoencoder for Unsupervised Hyperspectral Image Change Detection. - Jia Sun; Jia Liu 020; Liang Xiao 001 (IEEE Geosci. Remote. Sens. Lett., 2023)

Adaptive Spatial and Difference Learning for Change Detection. - Yangguang Liu; Fang Liu 034; Jia Liu 020; Xu Tang; Liang Xiao 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

DFAT: Dynamic Feature-Adaptive Tracking. - Wenhua Zhang; Licheng Jiao; Fang Liu 001; Shuyuan Yang 001; Jia Liu 020 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Spatial-Spectral Adaptive Learning With Pixelwise Filtering for Hyperspectral Image Classification. - Wenfei Gao; Fang Liu 034; Jia Liu 020; Liang Xiao 001; Xu Tang (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 020; Liang Xiao 001 (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 002; Jia Liu 020 (IEEE Trans. Geosci. Remote. Sens., 2023)

MANet: An Efficient Multidimensional Attention-Aggregated Network for Remote Sensing Image Change Detection. - Kaixuan Jiang; Jia Liu 020; Wenhua Zhang; Fang Liu 034; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Adversarial Domain Alignment With Contrastive Learning for Hyperspectral Image Classification. - Fang Liu 034; Wenfei Gao; Jia Liu 020; Xu Tang; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Cross-Domain Few-Shot Hyperspectral Image Classification With Class-Wise Attention. - Wenzhen Wang; Fang Liu 001; Jia Liu 020; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Vision-Language Joint Learning for Box-Supervised Change Detection in Remote Sensing. - Kanghua Yin; Fang Liu; Jia Liu 020; Liang Xiao 001 (IGARSS, 2024)

Spectral-Spatial Attentions and Deep Supervision for Change Detection in Remote Sensing Images. - Xia Zhang; Jia Liu 020; Wenhua Zhang; Fang Liu 001; Jingxiang Yang; Liang Xiao 001 (IGARSS, 2024)

Explicit Change-Relation Learning for Change Detection in VHR Remote Sensing Images. - Dalong Zheng; Zebin Wu 001; Jia Liu 020; Yang Xu 006; Chih-Cheng Hung; Zhihui Wei (IEEE Geosci. Remote. Sens. Lett., 2024)

Detail Enhanced Change Detection in VHR Images Using a Self-Supervised Multiscale Hybrid Network. - Dalong Zheng; Zebin Wu 001; Jia Liu 020; Chih-Cheng Hung; Zhihui Wei (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Stair Fusion Network With Context-Refined Attention for Remote Sensing Image Semantic Segmentation. - Jia Liu 020; Wenyi Hua; Wenhua Zhang; Fang Liu 034; Liang Xiao 001 (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 034; Jiaqi An; Jia Liu 020; Jingxiang Yang; Xu Tang; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Candidate-Aware and Change-Guided Learning for Remote Sensing Change Detection. - Fang Liu 034; Yangguang Liu; Jia Liu 020; Xu Tang; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Difference Guidance Learning With Feature Alignment for Change Detection. - Yangguang Liu; Fang Liu 034; Jia Liu 020; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Content-Guided and Class-Oriented Learning for VHR Image Semantic Segmentation. - Fang Liu 034; Keming Liu; Jia Liu 020; Jingxiang Yang; Xu Tang; Liang Xiao 001 (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 020; Fang Liu 034; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Object Knowledge Distillation for Joint Detection and Tracking in Satellite Videos. - Wenhua Zhang; Wenjing Deng; Zhen Cui 001; Jia Liu 020; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2024)

Multi-scale Feature Interaction and Adaptive Experts for Panoptic Segmentation in Remote Sensing Images. - Zhenkun Sun; Jia Liu 020; Wenhua Zhang; Fang Liu; Jingxiang Yang; Liang Xiao 001 (ICASSP, 2025)

Mask-guided Multi-scale Spatial-Spectral Transformer for Snapshot Compressive Imaging. - Heyuan Yin; Jingxiang Yang; Jia Liu 020; Liang Xiao 001 (ICASSP, 2025)

Deep one-class probability learning for end-to-end image classification. - Jia Liu 020; Wenhua Zhang; Fang Liu; Jingxiang Yang; Liang Xiao 001 (Neural Networks, 2025)

SIFANet: Spatial-Temporal Interaction and Frequency Adaptive Awareness Network for Change Detection in Remote Sensing Images. - Jia Liu 020; Kaixuan Jiang; Wenhua Zhang; Fang Liu 034; Liang Xiao 001; Puzhao Zhang; Chen Wu 003 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Unsupervised Global Difference Modeling for Image Change Detection. - Wenhua Zhang; Qihao Weng; Jia Liu 020; Zeng Qu; Yong Li 032; Jinjin Chai; Liang Xiao 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Edge-Object Co-Driven Learning for Remote Sensing Change Detection. - Yangguang Liu; Fang Liu 034; Jia Liu 020; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Multiscale Self-Supervised Constraints and Change-Masks-Guided Network for Weakly Supervised Change Detection. - Jia Liu 020; Hejun Luo; Wenhua Zhang; Fang Liu 001; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Box2Change: A Novel Weakly Supervised Way for Change Detection via Consistency Instance Segmentation. - Fang Liu 034; Kanghua Yin; Jia Liu 020; Jingxiang Yang; Xu Tang; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Background-Driven and Foreground-Refined Network for Weakly Supervised Change Detection. - Fang Liu 034; Peng Zhang; Jia Liu 020; Jingxiang Yang; Xu Tang; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2025)