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ORCIDFang Liu 0034
Person information
- affiliation: Nanjing University of Science and Technology, China
- affiliation: Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, China
Other persons with the same name
- Fang Liu — disambiguation page
- Fang Liu 0001
![[0000-0002-5669-9354]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-5669-9354")
— Xidian University, Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China - Fang Liu 0002 — HuNan University, School of Design, Changsha, China (and 2 more)
- Fang Liu 0003 — Anhui University, College of Electrical Engineering and Automation, Hefei, China (and 1 more)
- Fang Liu 0004 — Shenyang Ligong University, School of Information Science and Engineering, China
- Fang Liu 0005 — University of Wisconsin at Madison, Department of Radiology, WI, USA
- Fang Liu 0006 — University of Notre Dame, Department of Applied and Computational Mathematics and Statistics, IN, USA
- Fang Liu 0007 — National Library of Medicine, Bethesda, MD, USA
- Fang Liu 0008 — Nanyang Technological University, Nanyang Business School, Singapore (and 1 more)
- Fang Liu 0009 — Nanyang Technological University, School of Computer Science and Engineering, Singapore
- Fang Liu 0010 — Zhejiang University, Institute of Microelectronics and Optoelectronics, China
- Fang Liu 0011 — Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China (and 1 more)
- Fang Liu 0012 — Tianjin University, School of Electrical and Information Engineering, Key Laboratory of Smart Grid of MoE, China
- Fang Liu 0013 — Zhejiang University of Finance and Economics, School of Accounting, Hangzhou, China
- Fang Liu 0014 — Central South University, School of Automation, Changsha, China
- Fang Liu 0015 — Shenyang Ligong University, College of Science, Shenyang, China
- Fang Liu 0016 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China
- Fang Liu 0017 — Guangxi University, School of Mathematics and Information Science, Nanning, China (and 1 more)
- Fang Liu 0018 — University of Reading, School of Psychology and Clinical Language Sciences, Reading, UK (and 2 more)
- Fang Liu 0019 — Microsoft, Redmond, WA, USA (and 1 more)
- Fang Liu 0020 — Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA
- Fang Liu 0021 — Changsha University of Science and Technology, School of Transportation Engineering, Changsha, China (and 1 more)
- Fang Liu 0022 — Chinese University of Hong Kong, Department of Information Engineering, Hong Kong
- Fang Liu 0023 — Huanghuai University, School of Information Engineering, Henan International Joint Laboratory of Behavior Optimization Control for Smart Robots, Zhumadian, China (and 1 more)
- Fang Liu 0024 — City University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Fang Liu 0025 — University of Texas - Pan American, Department of Computer Science, Edinburg, TX, USA (and 1 more)
- Fang Liu 0026 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing, China
- Fang Liu 0027 — Massachusetts Institute of Technology, Media Laboratory, Cambridge, MA, USA
- Fang (Cherry) Liu (aka: Fang Liu 0028) — Georgia Institute of Technology, Partnership for An Advanced Computing Environment, Atlanta, GA, USA (and 2 more)
- Fang Liu 0029 — Duke University, Department of Electrical & Computer Engineering, Durham, NC, USA
- Fang Liu 0030 — Guangdong University of Finance and Economics, School of Internet Finance and Information Engineering, Guangzhou, China (and 1 more)
- Fang Liu 0031 — Wuhan University, School of Computer Science, China (and 1 more)
- Fang Liu 0032 — Beihang University, State Key Laboratory of Complex & Critical Software Environment, Beijing, China (and 1 more)
- Fang Liu 0033 — Dalian University of Technology, School of Computer Science and Technology, China
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2020 – today
- 2025
[j37]Ruiqi Du, Xu Tang, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao:
Semantic-Assisted Feature Integration Network for Multilabel Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 63: 1-15 (2025)- [j36]Jingjing Ma, Wei Jiang, Xu Tang, Xiangrong Zhang, Fang Liu, Licheng Jiao:
Multiscale Sparse Cross-Attention Network for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 63: 1-16 (2025) - 2024
- [j35]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) - [j34]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) - [j33]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: 1-19 (2024) - [j32]Yangguang Liu, Fang Liu, Jia Liu, Liang Xiao:
Difference Guidance Learning With Feature Alignment for Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j31]Fang Liu, Keming Liu, Jia Liu, Jingxiang Yang, Xu Tang, Liang Xiao:
Content-Guided and Class-Oriented Learning for VHR Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j30]Jingjing Ma, Yizhou Zou, Xu Tang, Xiangrong Zhang, Fang Liu, Licheng Jiao:
Spatial Pooling Transformer Network and Noise-Tolerant Learning for Noisy Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - [j29]Xu Tang, Dabiao Huang, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao:
Prior-Experience-Based Vision-Language Model for Remote Sensing Image-Text Retrieval. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j28]Xu Tang, Yizhou Zou, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao:
Multiple Information Collaborative Fusion Network for Joint Classification of Hyperspectral and LiDAR Data. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j27]Wenzhen Wang, Fang Liu, Liang Xiao:
I2MEP-Net: Inter- and Intra-Modality Enhancing Prototypical Network for Few-Shot Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j26]Haifeng Xu, Jingxiang Yang, Tian Lin, Jia Liu, Fang Liu, Liang Xiao:
Hyperspectral Reconstruction From RGB Images via Physically Guided Graph Deep Prior Learning. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j25]Wenjing Zhan, Fang Liu, Yongke Li, Liang Xiao:
Computational Oriented Proposal for Fine-Grained Ship Detection in Complex Remote Sensing Images. IEEE Trans. Instrum. Meas. 73: 1-18 (2024) - [j24]Yuqun Yang, Xu Tang, Xiangrong Zhang, Jingjing Ma, Fang Liu, Xiuping Jia, Licheng Jiao:
Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6806-6820 (2024) - [c5]Dabiao Huang, Xu Tang, Xiangrong Zhang, Fang Liu, Jingjing Ma, Cheng Zhu, Licheng Jiao:
A Cross-Modal Semantic Mapping Enhancement Model for Remote Sensing Visual Question Answering. IGARSS 2024: 7292-7295 - 2023
- [j23]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) - [j22]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) - [j21]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) - [j20]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) - [j19]Xu Tang, Yijing Wang, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao:
Interacting-Enhancing Feature Transformer for Cross-Modal Remote-Sensing Image and Text Retrieval. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j18]Wenzhen Wang, Fang Liu, Wenzhi Liao, Liang Xiao:
Cross-Modal Graph Knowledge Representation and Distillation Learning for Land Cover Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [c4]Wenyi Hua, Jia Liu, Fang Liu, Wenhua Zhang, Jiaqi An:
Stair Fusion Network for Remote Sensing Image Semantic Segmentation. IGARSS 2023: 5499-5502 - 2022
- [j17]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) - [j16]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) - [j15]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) - [j14]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) - [j13]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) - [j12]Xu Tang, Weiquan Lin, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao:
Class-Level Prototype Guided Multiscale Feature Learning for Remote Sensing Scene Classification With Limited Labels. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j11]Xu Tang, Yuqun Yang, Jingjing Ma, Yiu-Ming Cheung, Chao Liu, Fang Liu, Xiangrong Zhang, Licheng Jiao:
Meta-Hashing for Remote Sensing Image Retrieval. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j10]Xu Tang, Huayu Zhang, Lichao Mou, Fang Liu, Xiangrong Zhang, Xiao Xiang Zhu, Licheng Jiao:
An Unsupervised Remote Sensing Change Detection Method Based on Multiscale Graph Convolutional Network and Metric Learning. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j9]Yuqun Yang, Xu Tang, Yiu-Ming Cheung, Xiangrong Zhang, Fang Liu, Jingjing Ma, Licheng Jiao:
AR2Det: An Accurate and Real-Time Rotational One-Stage Ship Detector in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [c3]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 - [c2]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 - [i1]Kaixuan Jiang, Ja Liu, Fang Liu, Wenhua Zhang, Yangguang Liu:
dual unet: a novel siamese network for change detection with cascade differential fusion. CoRR abs/2208.06293 (2022) - 2021
- [j8]Xu Tang, Qiushuo Ma, Xiangrong Zhang, Fang Liu, Jingjing Ma, Licheng Jiao:
Attention Consistent Network for Remote Sensing Scene Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2030-2045 (2021) - [j7]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) - [j6]Xu Tang, Fanbo Meng, Xiangrong Zhang, Yiu-Ming Cheung, Jingjing Ma, Fang Liu, Licheng Jiao:
Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial-Spectral Attention Network. IEEE Trans. Geosci. Remote. Sens. 59(3): 2430-2447 (2021) - [j5]Chao Liu, Jingjing Ma, Xu Tang, Fang Liu, Xiangrong Zhang, Licheng Jiao:
Deep Hash Learning for Remote Sensing Image Retrieval. IEEE Trans. Geosci. Remote. Sens. 59(4): 3420-3443 (2021) - 2020
- [c1]Xu Tang, Fanbo Meng, Jingjing Ma, Xiangrong Zhang, Fang Liu, Qunnie Peng, Licheng Jiao:
Hyperspectral Image Classification Based on Multiscale Spatial and Spectral Feature Network. IGARSS 2020: 838-841
2010 – 2019
- 2019
- [j4]Fang Liu, Licheng Jiao, Xu Tang, Shuyuan Yang, Wenping Ma, Biao Hou:
Local Restricted Convolutional Neural Network for Change Detection in Polarimetric SAR Images. IEEE Trans. Neural Networks Learn. Syst. 30(3): 818-833 (2019) - [j3]Fang Liu, Licheng Jiao, Xu Tang:
Task-Oriented GAN for PolSAR Image Classification and Clustering. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2707-2719 (2019) - 2016
- [j2]Fang Liu, Licheng Jiao, Biao Hou, Shuyuan Yang:
POL-SAR Image Classification Based on Wishart DBN and Local Spatial Information. IEEE Trans. Geosci. Remote. Sens. 54(6): 3292-3308 (2016) - [j1]Licheng Jiao, Fang Liu:
Wishart Deep Stacking Network for Fast POLSAR Image Classification. IEEE Trans. Image Process. 25(7): 3273-3286 (2016)
Coauthor Index
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