Jia Liu 0020 - researchr alias

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Viewing Publication 1 - 32 from 32

2024

2023

Adversarial Domain Alignment With Contrastive Learning for Hyperspectral Image ClassificationFang Liu 0001, Wenfei Gao, Jia Liu 0020, Xu Tang, Liang Xiao 0001. tgrs, 61:1-20, 2023. [doi]

Spatial-Preserving and Edge-Orienting High-Resolution Network for Remote Sensing Change DetectionJiaqi An, Fang Liu 0001, Jia Liu 0020, Liang Xiao 0001, Xu Tang. igarss 2023: 5515-5518 [doi]

Domain-Specific and Domain-Common Feature Enhancement for Cross-Domain Few-Shot Hyperspectral Image ClassificationWenfei Gao, Fang Liu 0001, Jia Liu 0020, Liang Xiao 0001, Xu Tang. igarss 2023: 7661-7664 [doi]

Spatial-Spectral Adaptive Learning With Pixelwise Filtering for Hyperspectral Image ClassificationWenfei Gao, Fang Liu 0001, Jia Liu 0020, Liang Xiao 0001, Xu Tang. tgrs, 61:1-15, 2023. [doi]

PRBCD-Net: Predict-Refining-Involved Bidirectional Contrastive Difference Network for Unsupervised Change DetectionLing Hu, Qichao Liu, Jia Liu 0020, Liang Xiao 0001. tgrs, 61:1-17, 2023. [doi]

Novel Contrastive Regularized Bipartite Network for Unsupervised Change DetectionLing Hu, Ran Meng, Qichao Liu, Jia Liu 0020, Liang Xiao 0001. whispers 2023: 1-5 [doi]

Stair Fusion Network for Remote Sensing Image Semantic SegmentationWenyi Hua, Jia Liu 0020, Fang Liu, Wenhua Zhang, Jiaqi An. igarss 2023: 5499-5502 [doi]

MANet: An Efficient Multidimensional Attention-Aggregated Network for Remote Sensing Image Change DetectionKaixuan Jiang, Jia Liu 0020, Wenhua Zhang, Fang Liu 0034, Liang Xiao 0001. tgrs, 61:1-18, 2023. [doi]

Self-Supervised Global-Local Contrastive Learning for Fine-Grained Change Detection in VHR ImagesFenlong Jiang, Maoguo Gong, Hanhong Zheng, Tongfei Liu, Mingyang Zhang 0002, Jia Liu 0020. tgrs, 61:1-13, 2023. [doi]

Unsupervised Domain Adaption for Remote Sensing Semantic Segmentation with Self-Attention MechanismKeming Liu, Fang Liu 0001, Jia Liu 0020, Liang Xiao 0001, Xu Tang. igarss 2023: 6916-6919 [doi]

Adaptive Spatial and Difference Learning for Change DetectionYangguang Liu, Fang Liu 0001, Jia Liu 0020, Xu Tang, Liang Xiao. staeors, 16:7447-7461, 2023. [doi]

Edge-Guided Feature Dense Fusion Network for Remote Sensing Image Change DetectionHejun Luo, Jia Liu 0020, Fang Liu 0001, Wenhua Zhang, Jingxiang Yang, Liang Xiao 0001. igarss 2023: 6684-6687 [doi]

Cross-Domain Few-Shot Hyperspectral Image Classification With Class-Wise AttentionWenzhen Wang, Fang Liu, Jia Liu 0020, Liang Xiao 0001. tgrs, 61:1-18, 2023. [doi]

DFAT: Dynamic Feature-Adaptive TrackingWenhua Zhang, Licheng Jiao, Fang Liu 0001, Shuyuan Yang, Jia Liu 0020. tcsv, 33(1):43-58, 2023. [doi]

2022

Adaptive Graph Convolutional Network for PolSAR Image ClassificationFang Liu 0001, Jingya Wang, Xu Tang, Jia Liu 0020, Xiangrong Zhang, Liang Xiao 0001. tgrs, 60:1-14, 2022. [doi]

Domain-Adaptive Few-Shot Learning for Hyperspectral Image ClassificationAndi Zhang 0003, Fang Liu 0001, Jia Liu 0020, Xu Tang, Wenfei Gao, Donghui Li, Liang Xiao 0001. lgrs, 19:1-5, 2022. [doi]

Evolving Connections in Group of Neurons for Robust LearningJia Liu 0020, Maoguo Gong, Liang Xiao, Wenhua Zhang, Fang Liu 0001. tcyb, 52(5):3069-3082, 2022. [doi]

A Probabilistic Model Based on Bipartite Convolutional Neural Network for Unsupervised Change DetectionJia Liu 0020, Wenhua Zhang, Fang Liu 0001, Liang Xiao 0001. tgrs, 60:1-14, 2022. [doi]

Deep Image Inpainting With Enhanced Normalization and Contextual AttentionJia Liu 0020, Maoguo Gong, Zedong Tang, A. Kai Qin, Hao Li 0009, Fenlong Jiang. tcsv, 32(10):6599-6614, 2022. [doi]

Disentangled Representation Learning for Multiple Attributes Preserving Face DeidentificationMaoguo Gong, Jia Liu 0020, Hao Li 0009, Yu Xie, Zedong Tang. tnn, 33(1):244-256, 2022. [doi]

A Total Variation Regularized Bipartite Network for Unsupervised Change DetectionLing Hu, Jia Liu 0020, Liang Xiao. tgrs, 60:1-18, 2022. [doi]

Adaptive Contourlet Fusion Clustering for SAR Image Change DetectionWenhua Zhang, Licheng Jiao, Fang Liu 0001, Shuyuan Yang, Jia Liu 0020. TIP, 31:2295-2308, 2022. [doi]

MBLT: Learning Motion and Background for Vehicle Tracking in Satellite VideosWenhua Zhang, Licheng Jiao, Fang Liu 0001, Lingling Li, Xu Liu 0006, Jia Liu 0020. tgrs, 60:1-15, 2022. [doi]

LHNet: Laplacian Convolutional Block for Remote Sensing Image Scene ClassificationWenhua Zhang, Licheng Jiao, Fang Liu 0001, Jia Liu 0020, Zhen Cui 0001. tgrs, 60:1-13, 2022. [doi]

Sparse Feature Clustering Network for Unsupervised SAR Image Change DetectionWenhua Zhang, Licheng Jiao, Fang Liu 0001, Shuyuan Yang, Wei Song, Jia Liu 0020. tgrs, 60:1-13, 2022. [doi]

2021

Deep associative learning for neural networksJia Liu 0020, Wenhua Zhang, Fang Liu, Liang Xiao 0001. ijon, 443:222-234, 2021. [doi]

Evolving Deep Neural Networks via Cooperative Coevolution With BackpropagationMaoguo Gong, Jia Liu 0020, A. Kai Qin, Kun Zhao, Kay Chen Tan. tnn, 32(1):420-434, 2021. [doi]

2020

Nucleus Neural Network: A Data-driven Self-organized ArchitectureJia Liu 0020, Wenhua Zhang, Maoguo Gong, Haibo He. ijcnn 2020: 1-8 [doi]

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