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ORCIDJia Liu 0020
Person information
- affiliation: Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- affiliation (PhD 2018): Xidian University, Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China
Other persons with the same name
- Jia Liu — disambiguation page
- Jia Liu 0001 — Tsinghua University, Beijing National Research Center for Information Science and Technology, Beijing, China (and 1 more)
- Jia Liu 0002
![[0000-0001-8844-3233]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8844-3233")
— Iowa State University, Department of Computer Science, Ames, IA, USA (and 2 more) - Jia Liu 0003 — University of Surrey, 5G Innovation Centre, UK (and 1 more)
- Jia Liu 0004 — Anhui University of Finance and Economics, Bengbu, China
- Jia Liu 0005 — Xi'an Jiaotong University, State Key Laboratory of Electrical Insulation and Power Equipment, China (and 1 more)
- Jia Liu 0006 — North University of China, Key Laboratory of Instrumentation Science & Dynamic Measurement, Taiyuan, China
- Jia Liu 0007 — Chinese Academy of Science, Shenzhen Institutes of Advanced Technology, Guangdong Provincial Key Lab of Robotics and Intelligent System, China
- Jia Liu 0008 — Nanjing University, State Key Laboratory for Novel Software Technology, China
- Jia Liu 0009 — National Institute of Informatics, Cyber Security Research Center, Tokyo, Japan (and 2 more)
- Jia Liu 0010 — Tsinghua University, Department of Biomedical Engineering, School of Medicine, Beijing, China
- Jia Liu 0011 — Shenzhen University, College of Electronic Science and Technology, China
- Jia Liu 0012 — Jilin Engineering Normal University, School of Information Engineering, Changchun, China
- Jia Liu 0013 — Hong Kong University of Science and Technology, Business School, Hong Kong
- Jia Liu 0014 — Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, Laboratory of Remote Sensing and Intelligent information System, Xi'an, China
- Jia Liu 0015 — Nanjing University, Software Institute, Nanjing, China
- Jia Liu 0016 — Engineering University of People Armed Police Force, Xi'an, China
- Jia Liu 0017 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Laboratory of Engineering and Scientific Computing, Shenzhen, China (and 1 more)
- Jia Liu 0018 — Newcastle University Business School, Newcastle upon Tyne, UK
- Jia Liu 0019 — Nanjing University of Information Science and Technology, School of Automation, Nanjing, China
- Jia Liu 0021 — China University of Geosciences, School of Computer Science, Wuhan, China (and 3 more)
- Jia Liu 0022 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, State Key Laboratory Of Remote Sensing Sciences, Beijing, China
- Jia Liu 0023 — Tsinghua University, Department of Computer Science and Technology, TNList, Beijing, China
- Jia Liu 0024 — Tsinghua University, Department of Computer Science and Technology, TNList, Beijing, China
- Jia Liu 0025 — Wuhan University of Technology, School of Computer Science and Technology, Wuhan, China (and 1 more)
- Jia Liu 0026 — Tsinghua University, Department of Electronic Engineering, TNList, Beijing, China
- Jia Liu 0027 — Chinese Academy of Agricultural Sciences, Institute of Agricultural Resources and Regional Planning, Beijing, China
- Jia Liu 0028 — Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, Chongqing, China
- Jia Liu 0029 — Beijing University of Posts and Telecommunications, Key Laboratory of Universal Wireless Communications, Beijing, China
- Jia Liu 0030 — Zhejiang University, College of Computer Science, Hangzhou, China
- Jia Liu 0031 — Zhongnan University of Economics and Law, School of Information and Safety Engineering, Wuhan, China (and 1 more)
- Jia Liu 0032 — Dalian University of Technology, School of Civil and Hydraulic Engineering, Dalian, China
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Journal Articles
- 2024
[j46]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: 1-5 (2024)- [j45]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: 3181-3196 (2024) - [j44]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: 1-17 (2024) - [j43]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: 1-16 (2024) - [j42]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: 1-13 (2024) - 2023
- [j41]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: 7447-7461 (2023) - [j40]Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Jia Liu:
DFAT: Dynamic Feature-Adaptive Tracking. IEEE Trans. Circuits Syst. Video Technol. 33(1): 43-58 (2023) - [j39]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: 1-15 (2023) - [j38]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: 1-17 (2023) - [j37]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: 1-13 (2023) - [j36]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: 1-18 (2023) - [j35]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: 1-20 (2023) - [j34]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: 1-18 (2023) - 2022
- [j33]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: 1-5 (2022) - [j32]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): 1000 (2022) - [j31]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): 6599-6614 (2022) - [j30]Jia Liu, Maoguo Gong, Liang Xiao, Wenhua Zhang, Fang Liu:
Evolving Connections in Group of Neurons for Robust Learning. IEEE Trans. Cybern. 52(5): 3069-3082 (2022) - [j29]Ling Hu, Jia Liu, Liang Xiao:
A Total Variation Regularized Bipartite Network for Unsupervised Change Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j28]Kaixuan Jiang, Wenhua Zhang, Jia Liu, Fang Liu, Liang Xiao:
Joint Variation Learning of Fusion and Difference Features for Change Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j27]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: 1-14 (2022) - [j26]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: 1-14 (2022) - [j25]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: 1-13 (2022) - [j24]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: 1-15 (2022) - [j23]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: 1-13 (2022) - [j22]Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Jia Liu:
Adaptive Contourlet Fusion Clustering for SAR Image Change Detection. IEEE Trans. Image Process. 31: 2295-2308 (2022) - [j21]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): 244-256 (2022) - 2021
- [j20]Jia Liu, Wenhua Zhang, Fang Liu, Liang Xiao:
Deep associative learning for neural networks. Neurocomputing 443: 222-234 (2021) - [j19]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): 363-378 (2021) - [j18]Wenhua Zhang, Licheng Jiao, Yuxuan Li, Jia Liu:
Sparse Learning-Based Correlation Filter for Robust Tracking. IEEE Trans. Image Process. 30: 878-891 (2021) - [j17]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): 420-434 (2021) - 2020
- [j16]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): 876-890 (2020) - 2019
- [j15]Jia Liu, Maoguo Gong, Haibo He:
Deep associative neural network for associative memory based on unsupervised representation learning. Neural Networks 113: 41-53 (2019) - [j14]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): 288-302 (2019) - [j13]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): 2277-2289 (2019) - 2018
- [j12]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): 545-559 (2018) - [j11]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): 2450-2463 (2018) - 2017
- [j10]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: 213-228 (2017) - [j9]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): 234-248 (2017) - [j8]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): 7066-7080 (2017) - 2016
- [j7]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: 767-777 (2016) - [j6]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): 4645-4657 (2016) - [j5]Maoguo Gong, Puzhao Zhang, Linzhi Su, Jia Liu:
Coupled Dictionary Learning for Change Detection From Multisource Data. IEEE Trans. Geosci. Remote. Sens. 54(12): 7077-7091 (2016) - [j4]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): 125-138 (2016) - 2015
- [j3]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: 151-163 (2015) - [j2]Hao Li, Maoguo Gong, Jia Liu:
A Local Statistical Fuzzy Active Contour Model for Change Detection. IEEE Geosci. Remote. Sens. Lett. 12(3): 582-586 (2015) - [j1]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): 3263-3277 (2015)
Conference and Workshop Papers
- 2023
- [c22]Wenyi Hua, Jia Liu, Fang Liu, Wenhua Zhang, Jiaqi An:
Stair Fusion Network for Remote Sensing Image Semantic Segmentation. IGARSS 2023: 5499-5502 - [c21]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: 5515-5518 - [c20]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: 6684-6687 - [c19]Keming Liu, Fang Liu, Jia Liu, Liang Xiao, Xu Tang:
Unsupervised Domain Adaption for Remote Sensing Semantic Segmentation with Self-Attention Mechanism. IGARSS 2023: 6916-6919 - [c18]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: 7661-7664 - [c17]Ling Hu, Ran Meng, Qichao Liu, Jia Liu, Liang Xiao:
Novel Contrastive Regularized Bipartite Network for Unsupervised Change Detection. WHISPERS 2023: 1-5 - 2022
- [c16]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. IGARSS 2022: 991-994 - [c15]Yangguang Liu, Fang Liu, Jia Liu, Xu Tang, Kaixuan Jiang, Liang Xiao:
Spatial-Adaptive and Feature-Enhanced Siamese Network for Change Detection. IGARSS 2022: 1424-1427 - [c14]Kaixuan Jiang, Jia Liu, Fang Liu, Wenhua Zhang, Yangguang Liu, Jiao Shi:
Dual Unet: A Novel Siamese Network for Change Detection with Cascade Differential Fusion. IGARSS 2022: 1428-1431 - [c13]Yu Wang, Jia Liu, Fang Liu, Wenhua Zhang, Liang Xiao, Jiao Shi:
Siamese High-Resolution Network for Change Detection. IGARSS 2022: 3239-3242 - [c12]Zhenqing Chen, Jia Liu, Fang Liu, Wenhua Zhang, Liang Xiao, Jiao Shi:
Learning Transformations between Heterogeneous SAR and Optical Images for Change Detection. IGARSS 2022: 3243-3246 - 2020
- [c11]Haocheng Zhang, Jia Liu, Liang Xiao:
Bipartite Residual Network for Change Detection in Heterogeneous Optical and Radar Images. IGARSS 2020: 332-335 - [c10]Jia Liu, Wenhua Zhang, Maoguo Gong, Haibo He:
Nucleus Neural Network: A Data-driven Self-organized Architecture. IJCNN 2020: 1-8 - 2019
- [c9]Wenhua Zhang, Licheng Jiao, Xu Liu, Jia Liu:
Multi-Scale Feature Fusion Network for Object Detection in VHR Optical Remote Sensing Images. IGARSS 2019: 330-333 - 2017
- [c8]Jia Liu, Maoguo Gong, Qiguang Miao:
Neuron Learning Machine for Representation Learning. AAAI 2017: 4961-4962 - [c7]Hao Li, Jingjing Ma, Jia Liu, Maoguo Gong, Mingyang Zhang:
Multi-objective endmember extraction for hyperspectral images. CEC 2017: 458-465 - [c6]Mingyang Zhang, Jingjing Ma, Maoguo Gong, Hao Li, Jia Liu:
Memetic algorithm based feature selection for hyperspectral images classification. CEC 2017: 495-502 - [c5]Jia Liu, Maoguo Gong, Qiguang Miao:
Modeling Hebb Learning Rule for Unsupervised Learning. IJCAI 2017: 2315-2321 - [c4]Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu:
DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework. IJCAI 2017: 3413-3419 - 2016
- [c3]Tian Xie, Maoguo Gong, Zedong Tang, Yu Lei, Jia Liu, Zhao Wang:
Enhancing evolutionary multifactorial optimization based on particle swarm optimization. CEC 2016: 1658-1665 - 2014
- [c2]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: 210-215 - [c1]Jiaojiao Zhao, Maoguo Gong, Jia Liu, Licheng Jiao:
Deep learning to classify difference image for image change detection. IJCNN 2014: 411-417
Informal and Other Publications
- 2022
- [i3]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 abs/2206.01096 (2022) - 2019
- [i2]Jia Liu, Maoguo Gong, Haibo He:
Nucleus Neural Network for Super Robust Learning. CoRR abs/1904.04036 (2019) - [i1]Wenhua Zhang, Licheng Jiao, Jia Liu:
Hierarchical Feature-Aware Tracking. CoRR abs/1910.05751 (2019)
Coauthor Index
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