Jia Liu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 64

Top Topics

Change Detection

Cooperative Coevolution

Top Venues

IEEE Trans. Geosci. Remote. Sens.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Fang Liu, Yangguang Liu, Jia Liu, Xu Tang, Liang Xiao
Candidate-Aware and Change-Guided Learning for Remote Sensing Change Detection. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Dalong Zheng, Zebin Wu, Jia Liu, Chih-Cheng Hung, Zhihui Wei
Detail Enhanced Change Detection in VHR Images Using a Self-Supervised Multiscale Hybrid Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Jia Liu, Wenyi Hua, Wenhua Zhang, Fang Liu, Liang Xiao
Stair Fusion Network With Context-Refined Attention for Remote Sensing Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Wenhua Zhang, Wenjing Deng, Zhen Cui, Jia Liu, Licheng Jiao
Object Knowledge Distillation for Joint Detection and Tracking in Satellite Videos. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Dalong Zheng, Zebin Wu, Jia Liu, Yang Xu, Chih-Cheng Hung, Zhihui Wei
Explicit Change-Relation Learning for Change Detection in VHR Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Yangguang Liu, Fang Liu, Jia Liu, Liang Xiao
Difference Guidance Learning With Feature Alignment for Change Detection. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Fang Liu, Jiaqi An, Jia Liu, Jingxiang Yang, Xu Tang, Liang Xiao
Conjoint Cross-Attention Modeling and Joint Feature Calibrating for Remote Sensing Image Change Detection via a Triple-Double Network. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Jia Liu
DFAT: Dynamic Feature-Adaptive Tracking. IEEE Trans. Circuits Syst. Video Technol. 33 (1) (2023)
Kaixuan Jiang, Jia Liu, Wenhua Zhang, Fang Liu, Liang Xiao
MANet: An Efficient Multidimensional Attention-Aggregated Network for Remote Sensing Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Hejun Luo, Jia Liu, Fang Liu, Wenhua Zhang, Jingxiang Yang, Liang Xiao
Edge-Guided Feature Dense Fusion Network for Remote Sensing Image Change Detection. IGARSS (2023)
Fenlong Jiang, Maoguo Gong, Hanhong Zheng, Tongfei Liu, Mingyang Zhang, Jia Liu
Self-Supervised Global-Local Contrastive Learning for Fine-Grained Change Detection in VHR Images. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Wenyi Hua, Jia Liu, Fang Liu, Wenhua Zhang, Jiaqi An
Stair Fusion Network for Remote Sensing Image Semantic Segmentation. IGARSS (2023)
Wenzhen Wang, Fang Liu, Jia Liu, Liang Xiao
Cross-Domain Few-Shot Hyperspectral Image Classification With Class-Wise Attention. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Ling Hu, Ran Meng, Qichao Liu, Jia Liu, Liang Xiao
Novel Contrastive Regularized Bipartite Network for Unsupervised Change Detection. WHISPERS (2023)
Wenfei Gao, Fang Liu, Jia Liu, Liang Xiao, Xu Tang
Domain-Specific and Domain-Common Feature Enhancement for Cross-Domain Few-Shot Hyperspectral Image Classification. IGARSS (2023)
Fang Liu, Wenfei Gao, Jia Liu, Xu Tang, Liang Xiao
Adversarial Domain Alignment With Contrastive Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Ling Hu, Qichao Liu, Jia Liu, Liang Xiao
PRBCD-Net: Predict-Refining-Involved Bidirectional Contrastive Difference Network for Unsupervised Change Detection. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Yangguang Liu, Fang Liu, Jia Liu, Xu Tang, Liang Xiao
Adaptive Spatial and Difference Learning for Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Keming Liu, Fang Liu, Jia Liu, Liang Xiao, Xu Tang
Unsupervised Domain Adaption for Remote Sensing Semantic Segmentation with Self-Attention Mechanism. IGARSS (2023)
Jiaqi An, Fang Liu, Jia Liu, Liang Xiao, Xu Tang
Spatial-Preserving and Edge-Orienting High-Resolution Network for Remote Sensing Change Detection. IGARSS (2023)
Wenfei Gao, Fang Liu, Jia Liu, Liang Xiao, Xu Tang
Spatial-Spectral Adaptive Learning With Pixelwise Filtering for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Jia Liu, Maoguo Gong, Zedong Tang, A. Kai Qin, Hao Li, Fenlong Jiang
Deep Image Inpainting With Enhanced Normalization and Contextual Attention. IEEE Trans. Circuits Syst. Video Technol. 32 (10) (2022)
Andi Zhang, Fang Liu, Jia Liu, Xu Tang, Wenfei Gao, Donghui Li, Liang Xiao
Domain-Adaptive Few-Shot Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Wenhua Zhang, Licheng Jiao, Fang Liu, Jia Liu, Zhen Cui
LHNet: Laplacian Convolutional Block for Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Jia Liu, Maoguo Gong, Liang Xiao, Wenhua Zhang, Fang Liu
Evolving Connections in Group of Neurons for Robust Learning. IEEE Trans. Cybern. 52 (5) (2022)
Donghui Li, Jia Liu, Fang Liu, Wenhua Zhang, Andi Zhang, Wenfei Gao, Jiao Shi
A Dual-fusion Semantic Segmentation Framework With GAN For SAR Images. CoRR (2022)
Jia Sun, Jia Liu, Ling Hu, Zhihui Wei, Liang Xiao
A Mutual Teaching Framework with Momentum Correction for Unsupervised Hyperspectral Image Change Detection. Remote. Sens. 14 (4) (2022)
Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Wei Song, Jia Liu
Sparse Feature Clustering Network for Unsupervised SAR Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Maoguo Gong, Jia Liu, Hao Li, Yu Xie, Zedong Tang
Disentangled Representation Learning for Multiple Attributes Preserving Face Deidentification. IEEE Trans. Neural Networks Learn. Syst. 33 (1) (2022)
Jia Liu, Wenhua Zhang, Fang Liu, Liang Xiao
A Probabilistic Model Based on Bipartite Convolutional Neural Network for Unsupervised Change Detection. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Ling Hu, Jia Liu, Liang Xiao
A Total Variation Regularized Bipartite Network for Unsupervised Change Detection. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Wenhua Zhang, Licheng Jiao, Fang Liu, Lingling Li, Xu Liu, Jia Liu
MBLT: Learning Motion and Background for Vehicle Tracking in Satellite Videos. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Jia Liu
Adaptive Contourlet Fusion Clustering for SAR Image Change Detection. IEEE Trans. Image Process. 31 (2022)
Fang Liu, Jingya Wang, Xu Tang, Jia Liu, Xiangrong Zhang, Liang Xiao
Adaptive Graph Convolutional Network for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Jia Liu, Wenhua Zhang, Fang Liu, Liang Xiao
Deep associative learning for neural networks. Neurocomputing 443 (2021)
Maoguo Gong, Jia Liu, A. Kai Qin, Kun Zhao, Kay Chen Tan
Evolving Deep Neural Networks via Cooperative Coevolution With Backpropagation. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Fang Liu, Xu Tang, Xiangrong Zhang, Licheng Jiao, Jia Liu
Large-Scope PolSAR Image Change Detection Based on Looking-Around-and-Into Mode. IEEE Trans. Geosci. Remote. Sens. 59 (1) (2021)
Wenhua Zhang, Licheng Jiao, Yuxuan Li, Jia Liu
Sparse Learning-Based Correlation Filter for Robust Tracking. IEEE Trans. Image Process. 30 (2021)
Jia Liu, Wenhua Zhang, Maoguo Gong, Haibo He
Nucleus Neural Network: A Data-driven Self-organized Architecture. IJCNN (2020)
Jia Liu, Maoguo Gong, A. Kai Qin, Kay Chen Tan
Bipartite Differential Neural Network for Unsupervised Image Change Detection. IEEE Trans. Neural Networks Learn. Syst. 31 (3) (2020)
Jia Liu, Maoguo Gong, Haibo He
Nucleus Neural Network for Super Robust Learning. CoRR (2019)
Jia Liu, Maoguo Gong, Haibo He
Deep associative neural network for associative memory based on unsupervised representation learning. Neural Networks 113 (2019)
Wenhua Zhang, Licheng Jiao, Xu Liu, Jia Liu
Multi-Scale Feature Fusion Network for Object Detection in VHR Optical Remote Sensing Images. IGARSS (2019)
Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu, Yifang Ban
Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 57 (4) (2019)
Wenhua Zhang, Licheng Jiao, Jia Liu
Hierarchical Feature-Aware Tracking. CoRR (2019)
Maoguo Gong, Hao Li, Deyu Meng, Qiguang Miao, Jia Liu
Decomposition-Based Evolutionary Multiobjective Optimization to Self-Paced Learning. IEEE Trans. Evol. Comput. 23 (2) (2019)
Jia Liu, Maoguo Gong, A. Kai Qin, Puzhao Zhang
A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images. IEEE Trans. Neural Networks Learn. Syst. 29 (3) (2018)
Jia Liu, Maoguo Gong, Qiguang Miao, Xiaogang Wang, Hao Li
Structure Learning for Deep Neural Networks Based on Multiobjective Optimization. IEEE Trans. Neural Networks Learn. Syst. 29 (6) (2018)
Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu
DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework. IJCAI (2017)
Mingyang Zhang, Jingjing Ma, Maoguo Gong, Hao Li, Jia Liu
Memetic algorithm based feature selection for hyperspectral images classification. CEC (2017)
Maoguo Gong, Hao Li, Enhu Luo, Jing Liu, Jia Liu
A Multiobjective Cooperative Coevolutionary Algorithm for Hyperspectral Sparse Unmixing. IEEE Trans. Evol. Comput. 21 (2) (2017)
Hao Li, Jingjing Ma, Jia Liu, Maoguo Gong, Mingyang Zhang
Multi-objective endmember extraction for hyperspectral images. CEC (2017)
Linzhi Su, Maoguo Gong, Puzhao Zhang, Mingyang Zhang, Jia Liu, Hailun Yang
Deep learning and mapping based ternary change detection for information unbalanced images. Pattern Recognit. 66 (2017)
Jia Liu, Maoguo Gong, Qiguang Miao
Neuron Learning Machine for Representation Learning. AAAI (2017)
Jia Liu, Maoguo Gong, Qiguang Miao
Modeling Hebb Learning Rule for Unsupervised Learning. IJCAI (2017)
Wei Zhao, Zhirui Wang, Maoguo Gong, Jia Liu
Discriminative Feature Learning for Unsupervised Change Detection in Heterogeneous Images Based on a Coupled Neural Network. IEEE Trans. Geosci. Remote. Sens. 55 (12) (2017)
Maoguo Gong, Puzhao Zhang, Linzhi Su, Jia Liu
Coupled Dictionary Learning for Change Detection From Multisource Data. IEEE Trans. Geosci. Remote. Sens. 54 (12) (2016)
Jia Liu, Maoguo Gong, Jiaojiao Zhao, Hao Li, Licheng Jiao
Difference representation learning using stacked restricted Boltzmann machines for change detection in SAR images. Soft Comput. 20 (12) (2016)
Hao Li, Maoguo Gong, Qiao Wang, Jia Liu, Linzhi Su
A multiobjective fuzzy clustering method for change detection in SAR images. Appl. Soft Comput. 46 (2016)
Tian Xie, Maoguo Gong, Zedong Tang, Yu Lei, Jia Liu, Zhao Wang
Enhancing evolutionary multifactorial optimization based on particle swarm optimization. CEC (2016)
Maoguo Gong, Jiaojiao Zhao, Jia Liu, Qiguang Miao, Licheng Jiao
Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 27 (1) (2016)
Maoguo Gong, Jia Liu, Hao Li, Qing Cai, Linzhi Su
A Multiobjective Sparse Feature Learning Model for Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 26 (12) (2015)
Jia Liu, Maoguo Gong, Qiguang Miao, Linzhi Su, Hao Li
Change detection in synthetic aperture radar images based on unsupervised artificial immune systems. Appl. Soft Comput. 34 (2015)
Hao Li, Maoguo Gong, Jia Liu
A Local Statistical Fuzzy Active Contour Model for Change Detection. IEEE Geosci. Remote. Sens. Lett. 12 (3) (2015)
Chi Wang, Jia Liu, Maoguo Gong, Licheng Jiao, Jing Liu
Fuzzy C-means clustering with weighted energy function in MRF for image segmentation. FUZZ-IEEE (2014)
Jiaojiao Zhao, Maoguo Gong, Jia Liu, Licheng Jiao
Deep learning to classify difference image for image change detection. IJCNN (2014)